bims-evares Biomed News
on Evaluation of research
Issue of 2025–08–10
68 papers selected by
Thomas Krichel, Open Library Society
  1. Roles of extracellular vesicles in rheumatoid arthritis: A bibliometric analysis.
  2. Mapping the Knowledge Landscape: A Bibliometric Visualization of Bumblebee Research Over Four Decades (1980-2024).
  3. Research trends and mapping knowledge for enamel matrix derivatives in dentistry: A bibliometric and scientometric analysis.
  4. Global trends in the application of nanopore sequencing technology in the detection of infectious disease pathogens: a bibliometric analysis from 2014 to 2024.
  5. Mapping the field of spondylolisthesis: A bibliometric analysis.
  6. Knowledge mapping of artificial intelligence in prosthodontics during 1995-2024: A bibliometric analysis.
  7. Charting the use of mini-clinical evaluation exercise (mini-CEX) in nursing and dental education: a bibliometric analysis from the Web of Science database.
  8. Bibliometric analysis of publication trends in meningioma research (1992 - 2023).
  9. Research trends in cervical cancer brachytherapy: a bibliometric analysis.
  10. Emerging Research Trends on Medication Adherence in Tuberculosis Treatment: A Bibliometric Study of Research Between 2015 and 2024 to Inform Future Research Trajectory.
  11. Global trends and hotspots of adolescent eating disorders: a bibliometric study and visual analysis.
  12. Advances in orthodontic treatment for periodontal disease: a bibliometric analysis, emerging insights and clinical implications.
  13. The bibliometric and visualization analysis of alcohol-induced osteonecrosis of the femoral head: research trends and future directions (1998-2024).
  14. New trends and hotspots in sepsis-related protein post-translational modification: a bibliometric and visual analysis.
  15. The role of mitochondrial dysfunction in diabetes-associated cognitive dysfunction: A bibliometric analysis.
  16. Global trends and research landscape of arthroscopic therapy and exercise rehabilitation in meniscal tear: a bibliometric analysis.
  17. Bibliometric analysis of infertility psychology: current status, hotspots, and emerging trends (2014-2024).
  18. Macrophage bibliometric study and visualization in myocardial ischemia-reperfusion.
  19. A Bibliometric and Trend Analysis of Publications in JVIR and CVIR (2014-2025): Insights from Two Primary Interventional Radiology Journals.
  20. Estimation of key indicators for bibliometric analysis in the applications of artificial intelligence in rheumatology.
  21. Current Trends in Ethical Research on Clinical AI Applications in Mainland China: A Bibliometric Analysis.
  22. A bibliometric analysis of the global status of platelet-rich plasma in regenerative medicine from 2004 to 2023.
  23. Knowledge-map and bibliometric analysis of scientific research on FDA-approved Chimeric Antigen Receptor T cell products (2015-2024).
  24. A Comparative Study of Sugammadex and Neostigmine: A Bibliometric Analysis of the Past 15 Years.
  25. Unveiling mitochondrial transfer in tumor immune evasion: mechanisms, challenges, and clinical implications.
  26. Features and signals in precocious citation impact: A meta-research study.
  27. Shaping the Future of Surgical Procedures: A Bibliometric Analysis of Advanced Polymeric Surgical Materials Research in the Last Decade.
  28. Current Trends and Research Hot Spots in Traumatic Birth: A Bibliometric Analysis.
  29. Global research trends and frontiers in patent foramen ovale closure: a comprehensive bibliometric analysis (2004-2024).
  30. Knowledge mapping of exosomes in ischemic stroke: a bibliometric analysis.
  31. Surface Characteristics and Their Influence on Osseointegration: A Scientometric Analysis with a Focus on Dental Implants.
  32. Mapping the Neuroeducation Landscape: A Bibliometric Analysis (2020-2025).
  33. Comment on "Exploring the landscape of exosomes in heart failure: a bibliometric analysis".
  34. Cellular senescence in skeletal diseases: A bibliometric analysis from 2007 to 2024.
  35. Mapping EEG-based hypnosis research: a bibliometric study.
  36. Integrating clinical trial landscapes and bibliometric analysis: unveiling the impact of PD-1/PD-L1 inhibitors on renal cell carcinoma research and therapeutic trajectories summary.
  37. Global collaboration and innovation in malignant cerebral edema research: a bibliometric perspective.
  38. Exploring the influence of growth factors in diabetic foot: A comprehensive bibliometric analysis.
  39. Bibliometric and visual analysis of digital healthcare in cancer pain management via mobile apps.
  40. Bibliometric analysis of research trends in early orthodontic treatment: a two-decade perspective (2000-2025).
  41. Advances in targeted therapies by PARP inhibitors for the treatment of prostate cancer: A scientometric approach.
  42. Worldwide Research Trends on Lung Cancer and Microbiota: A Bibliometric and Visualized Analysis.
  43. Exploring research trends in health effects of 5G antennas: a bibliometric analysis.
  44. Global trends in Trichoderma secondary metabolites in sustainable agricultural bioprotection.
  45. Global research landscape of antiangiogenic therapy for colorectal cancer: a bibliometric analysis of mechanistic insights and clinical advancements.
  46. Trends and hot spots in research on the prognostic value of gastric cancer biomarkers in the context of the Lauren classification: a bibliometric analysis.
  47. Academic Productivity Among Hand Surgeons: Factors That Predict Future Productivity.
  48. Ambient Noise in the Operating Theater: A Bibliometric Analysis of Studies Examining Its Effects on Physiological, Psychological, and Performance of Health Professionals.
  49. Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 2000.
  50. Utilization of Artificial Intelligence in Reducing the Incidence of Medication Error: A Bibliometric Analysis.
  51. Global visualization exploration of post-stroke cardiac changes: A bibliometric analysis based on CiteSpace and VOSviewer.
  52. Spinal neurosurgery: Trends in female authorship contribution over 5-Year publication history.
  53. Knowledge mapping of immunotherapy in castration-resistant prostate cancer: a bibliometric and visualized study (2003-2022).
  54. Scientific response to the 2023 Kahramanmaraş earthquake: A bibliometric study.
  55. Scientific publications that use promotional language in the abstract receive more citations and public attention.
  56. Advances in catalysis for biodiesel production: Integrating AI-driven optimization and bibliometric insights into renewable energy technologies.
  57. Publications From Saudi Arabia in Orthopedic Surgery in the Recent Six Years: A Systematic Review.
  58. Worldwide hotspots and trends in stem cell therapy for kidney disease in the last decade: a bibliometric and visualization analysis from 2015 to 2024.
  59. Letter to editor about "Peripheral nerve blocks for hip fracture surgeries: a bibliometric and visual analysis".
  60. Scholarly Publications and Opinions Through 366-Day War on Gaza (2023-2024): A Scoping Review and Bibliometric Analysis.
  61. Does your surname undermine your research impact?
  62. Gender differences in collaboration and career progression in physics.
  63. Where You Train Matters: Surgeon-Scientists Disproportionately Trained at Highly Funded Institutions.
  64. Research Trends and Focus of Trust in Healthcare-Based AI: A Co-Occurrence Analysis and Modified Scoping Review.
  65. Artificial Intelligence Reshapes Creativity: A Multidimensional Evaluation.
  66. Unveiling 30 years of research on speech biomarker of dementia using text mining.
  67. Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI.
  68. Diversity and Expertise Among Authors of U.S. Surgical Society Clinical Guidelines.
  1. Medicine (Baltimore). 2025 Aug 01. 104(31): e43623
    Roles of extracellular vesicles in rheumatoid arthritis: A bibliometric analysis.
    Tao Wang, Xiaoxia Tang, Wen Luo, Ze Hua Chen, Yubo Xia, Xiaohan Zhou, Yang Shu, Chen Yin Lu, Wenjie Su, Qigang Chen, Zhen Shen, Biao Zhou, Zhiqiang Luo.
       PURPOSE: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation and joint destruction, imposing a significant burden on society. Recent research highlights the critical role of extracellular vesicles (EVs) in RA, but no bibliometric analysis has comprehensively examined this field. This study aims to fill that gap.
    METHODS: Relevant publications from the past 2 decades were retrieved from the Web of Science Core Collection database. Bibliometric analyses were conducted using VOSviewer and the R package "Bibliometrix" to evaluate annual output, collaboration networks, research hotspots, current status, and developmental trends in this field.
    RESULTS: A total of 512 publications (311 articles and 201 reviews) from 922 institutions across 59 countries were analyzed. China led in publication volume and citations. Southwest Medical University was the top institution. Frontiers in Immunology published the highest number of publications (35) and received the most citations (1042). The most productive author was LIU Y (13 papers), and the most cited was GAY S (141 citations). Keyword and paper bibliometric analyses revealed revealed 2 major focuses: the role of EVs in RA pathogenesis and therapeutic strategies. High-frequency keywords such as "dendritic cells," "T-cells," and "microRNAs" highlight the involvement of immune cell-derived EVs in RA pathogenesis. While terms like "stem cells" and "mesenchymal stem cells" suggest growing interest in their immunomodulatory potential.
    CONCLUSION: This study represents the first bibliometric analysis of the relationship between RA and EVs. By objectively summarizing the current literature, this work provides insights into the roles of EVs in RA and serves as a valuable reference for researchers interested in this field.
    Keywords:  R package “Bibliometrix,” rheumatoid arthritis; VOSviewer; bibliometric analysis; extracellular vesicles
    DOI:  https://doi.org/10.1097/MD.0000000000043623
  2. Arch Insect Biochem Physiol. 2025 Aug;119(4): e70086
    Mapping the Knowledge Landscape: A Bibliometric Visualization of Bumblebee Research Over Four Decades (1980-2024).
    Feng Zhou, Junjun Liu, Shuning Sun, Yan Chen, Yi Luo.
      Bumblebees are a group of approximately 265 species of large-bodied bees adapted to cold climates, widely distributed in diverse regions like subarctic, temperate, subtropical, and tropical areas. However, the decline in bumblebee populations and induced risks in pollination services has stimulated growth in related research. This study conducted a comprehensive bibliometric analysis of bumblebee research over four decades (1980-2024), tracing its historical evolution, current hotspots, and emerging trends. Key findings reveal a consistent increase in both publications and citations related to bumblebees over the past four decades. A total of 1005 scholarly journals published articles on the application of bumblebees, with 200,185 co-citation counts. The United States, the United Kingdom, and several European countries are at the forefront of bumblebee research, with major institutions such as University of California System contributing significantly to the field. The analysis identifies emerging research hotspots in ecology, plant, zoology and molecular biology, highlighting a shift towards interdisciplinary approaches. The analysis of authors and co-cited authors networks revealed 1398 authors contributed to the total number of papers. Dave Goulson ranks first with 160 publications and 2576 co-citations. The keyword co-occurrence network of bumblebee showed three periods, and the strongest citation burst linked to research on pollination and ecosystem services. The evolution of bumblebee research highlights 'wild bee,' 'foraging distance,' and 'social learning' as key emerging topics. The study identifies trends with significant implications, including a growing interest in pollinator conservation and the ecological role of bumblebees, and suggests new directions for future bumblebee research.
    Keywords:  CiteSpace; bibliometric analysis; bumblebee; pollinator
    DOI:  https://doi.org/10.1002/arch.70086
  3. Dent Mater J. 2025 Aug 05.
    Research trends and mapping knowledge for enamel matrix derivatives in dentistry: A bibliometric and scientometric analysis.
    Nuray Ercan.
      This bibliometric analysis is aimed at identifying and analyzing the articles on the dental applications of enamel matrix derivatives (EMDs). Data were obtained from the Web of Science and analyzed using the Bibliometrix program. Publications indexed in SCI-Expanded and ESCI under 'Dentistry, Oral Surgery, and Medicine' were included, while non-English and non-article/review types were excluded. A total of 854 articles were reviewed, focusing on: article performance, word analysis, co-citation, and thematic analysis. Data analysis showed a growing number of publications in this field over time. Sculean A emerged as the leading researcher, while the Journal of Clinical Periodontology was the most influential journal. Recent research trends primarily focused on periodontal regeneration. Finally, thematic analysis revealed two motor themes, four niche themes, two emerging/declining themes, and three basic theme clusters. This bibliometric analysis highlights the increasing interest and the emergence of new research trends in the field of EMDs in dentistry.
    Keywords:  Amelogenin; Bibliometrics; Enamel matrix proteins
    DOI:  https://doi.org/10.4012/dmj.2025-058
  4. Front Med (Lausanne). 2025 ;12 1610063
    Global trends in the application of nanopore sequencing technology in the detection of infectious disease pathogens: a bibliometric analysis from 2014 to 2024.
    Jiali Long, Benhua Zeng, Jia Li, Juan Zhang, Guohong Deng.
       Purpose: This study aimed to comprehensively analyze the global landscape, trends, and research focus of nanopore sequencing technology in the field of pathogenic microorganism diagnosis using bibliometric analysis.
    Methods: Literature published between January 2014, and December 2024, was retrieved from the Web of Science Core Collection. A cross-sectional bibliometric analysis was conducted using VOSviewer, CiteSpace, Origin 2024, and R software to extract and evaluate metrics. Publications were categorized by country, institution, author, journal, highly cited papers, and keywords. Variables were compared based on publication output and academic impact, which included citation counts, citation impact, H-index, journal impact factor, total link strength, major pathogens, and research directions.
    Results: Initial searches identified 2,098 articles related to nanopore sequencing and pathogenic microorganisms, of which 729 were ultimately included in the analysis. Among the 104 participating countries, the United Kingdom, the United States, and China have led in publication output, citations, and academic influence. The most versatile institution was the University of Oxford, followed by Zhejiang University. The most productive scholars and journals were Crook, Derrick W., and Frontiers in Microbiology, respectively. Keyword analysis revealed that the primary advantages of nanopore sequencing include portability, long-read capabilities, and real-time analysis. Current research hotspots focus on real-time pathogen identification, viral genomic surveillance, and antimicrobial resistance profiling.
    Conclusion: Presently, nanopore sequencing is rapidly transitioning from laboratory research to on-site sequencing and public health emergency scenarios. To our knowledge, this study is the first bibliometric analysis to comprehensively delineate the latest developments in nanopore sequencing in pathogenic microorganism diagnosis. It provides researchers with an understanding of the current situation, identifies knowledge gaps, and points out future research directions.
    Keywords:  antimicrobial resistance; bibliometric analysis; genomic surveillance; nanopore sequencing; pathogenic microorganisms; real-time
    DOI:  https://doi.org/10.3389/fmed.2025.1610063
  5. World J Clin Cases. 2025 Aug 06. 13(22): 99221
    Mapping the field of spondylolisthesis: A bibliometric analysis.
    Jiong-Nan Xu, Yong Li, Ting-Xiao Zhao, Wei-Yi Wu, Xin-Wen Yang, Heng-Wei Zhang, Qi Chen, Chen Xia, Jun Zhang.
       BACKGROUND: In recent years, the number of studies on spondylolisthesis has been increasing, and there are many publications on this disorder. To our knowledge, there is no bibliometric analysis of spondylolisthesis to date.
    AIM: To investigate emerging directions in Spondylolisthesis research and systematically evaluate the academic literature with the highest citation impact within this field.
    METHODS: All data were collected from the Web of Science Core Collection database. Years of publications, countries, journals, institutions and total number of citations were extracted and analyzed by VOSviewer software. In addition, we analyzed the top 100 most-cited articles on spondylolisthesis.
    RESULTS: A total of 1831 articles related to spondylolisthesis were identified. The frequency of publications on spondylolisthesis has increased dramatically over time. Among all countries, United States has contributed the most publications on spondylolisthesis (n = 574). The institution with the most articles was the University of California, San Francisco (n = 52). Spine topped the list of journals and has published 291 spondylolisthesis-related reports. The hotspot of research changed from posterolateral fusion to interbody fusion.
    CONCLUSION: In recent years, academic investigations on spondylolisthesis have exhibited significant growth. As the inaugural bibliometric evaluation in this domain, our research establishes a methodological framework for synthesizing the historical progression and current advancements of spondylolisthesis studies.
    Keywords:  Aging; Bibliometric analysis; Spondylolisthesis; VOSviewer; Web of Science
    DOI:  https://doi.org/10.12998/wjcc.v13.i22.99221
  6. Digit Health. 2025 Jan-Dec;11:11 20552076251365830
    Knowledge mapping of artificial intelligence in prosthodontics during 1995-2024: A bibliometric analysis.
    Wenqi Hu.
       Background: Artificial intelligence (AI) applications in prosthodontics has increased significantly in recent years, including diagnosis, maxillofacial prosthesis, and implantology. However, there is no bibliometric analysis in this research field. This study aims to provide a comprehensive overview of the knowledge structure and research hotspots of AI in prosthodontics through bibliometrics.
    Methods: As of August 26, 2024, articles on AI and prosthodontics in the Web of Science Core Collection (WoSCC) were collected. VOSviewer 1.6.20, and CiteSpace 6.3.R1 and R 4.3.3 were used to conduct this bibliometric analysis.
    Results: Totally, 214 articles published in 97 journals from 1061 authors were included in our study. The top contributors to this field were the United States, China, and Italy. Harvard University and Peking University are the main research institutions. The journal with the most publications was International Journal of Oral & Maxillofacial Implants, and Wismeijer Daniel had the highest H-index. The most common keywords were "accuracy," "placement," "surgery," and "dental implants." Analysis of keywords bursts indicated that "dentistry," "3d printing," and "system" have recently been used, indicating that future research will focus on these keywords.
    Conclusions: The study conducted a bibliometric analysis of over 20 years of AI and prosthodontics research, identifying the countries, institutions, authors, and journals, involved in this field. The current major topics were the accuracy of AI in diagnosis, and the AI and dental implants placement. AI is further useful for prediction of implant success and fabrication of digitally smart maxillofacial prosthesis.
    Keywords:  Artificial intelligence; CiteSpace; VOSviewers; bibliometric analysis; prosthodontics
    DOI:  https://doi.org/10.1177/20552076251365830
  7. J Yeungnam Med Sci. 2025 ;42 43
    Charting the use of mini-clinical evaluation exercise (mini-CEX) in nursing and dental education: a bibliometric analysis from the Web of Science database.
    Galvin Sim Siang Lin, Annabell Ying Ying Sim, Erlyn Aclan Sana, Gideon U Johnson.
       BACKGROUND: Workplace-based assessments, such as the mini-clinical evaluation exercise (mini-CEX), are increasingly used to evaluate clinical competence in authentic healthcare settings. This study aimed to map and evaluate the global research landscape of mini-CEX in nursing and dental education through bibliometric analysis.
    METHODS: A literature search was conducted in the Web of Science Core Collection on July 1, 2025, using the terms "mini-CEX," "mini clinical evaluation exercise," "nursing," "nurse," "dental," and "dentistry." The eligible articles were studies published in English that involved learners or educators in nursing or dental education. Data such as publication metrics, authorship, affiliations, keyword co-occurrence, journal impact, and Sustainable Development Goal (SDG) alignment were extracted and analyzed using descriptive statistics, the Mann-Whitney U test, Spearman rank-order correlation, and network mapping.
    RESULTS: Thirty-seven articles were included. They received 229 citations (202 excluding self-citations), with an h-index of nine and an average of 6.19 citations per article. Most were indexed in the Science Citation Index Expanded or the Social Sciences Citation Index (67.6%), and 42.9% were published in Quartile 1 journals. The majority aligned with SDG 04 (Quality Education). Nursing-focused studies outnumbered dental studies. Authorship networks were fragmented, with limited cross-institutional collaboration. BMC Medical Education was the leading journal, and 2022 saw the highest number of publications. From 2020 onwards, both publication and citation counts increased significantly (p<0.01). Iran and China contributed the most articles. Keyword analysis revealed five clusters: "skills," "mini-CEX," "clinical competence," "competence," and "impact."
    CONCLUSION: Research on mini-CEX in nursing and dental education is expanding, yet enhanced interprofessional collaboration is needed to maximize its global scholarly and practical impact.
    Keywords:  Clinical competence; Dental education; Educational measurement; Health professions; Nursing education; Workplace-based assessment
    DOI:  https://doi.org/10.12701/jyms.2025.42.43
  8. Neurosurg Rev. 2025 Aug 08. 48(1): 595
    Bibliometric analysis of publication trends in meningioma research (1992 - 2023).
    Xulei Huo, LiWei Wang, Junpeng Ma, Zhen Wu, Ke Wang.
      The purpose of this study was providing an overview of meningioma research and its current situation. We conducted a bibliometric study of 14,027 articles and reviews on meningioma between January, 1992 to June, 2023 with the bibliometrix tool and VOSviewer. The distribution of authorship and collaboration patterns among countries, institutions, publications, and authors were analyzed. Core sources was analyzed with Bradford's law and author productivity was analyzed with Lotka's Law. The current situation and key areas were assessed through co-occurrence analysis. The number of publications has steadily increased over the years. The United States and University California San Francisco made the most contribution country and institution, respectively. Among the cited authors, Zhang J. emerged as the leading contributor while Perry A. was the most productive. Black P.M. had the highest h-index and Nassiri F. ranked first among the m-index. The most frequently cited study was Louis D.N. et al.'s 2016 publication in Acta Neuropathologica, titled "The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary." The journals with the most published articles and most cited publications were World Neurosurgery and Journal of Neurosurgery, respectively. According to keyword analysis, treatment option, chemotherapy, NF2 gene and estrogen receptor, and progesterone receptor are becoming more popular. This study provided a comprehensive overview of meningioma research, as well as potential future research fields, such as the chemotherapy and NF2 gene.
    Keywords:  Bibliometric analysis; Future outlook; Meningioma; Publication trends
    DOI:  https://doi.org/10.1007/s10143-025-03739-z
  9. Discov Oncol. 2025 Aug 09. 16(1): 1512
    Research trends in cervical cancer brachytherapy: a bibliometric analysis.
    Shuilan Bao, Yiren Wang, Yiheng Hu, Sheng Lin, Youhua Wang, Ke Yuan, Yun Zhou, Ping Zhou, Haowen Pang, Zhengyi Zuo.
       BACKGROUND: Cervical cancer (CC) was a significant gynecological malignancy. Brachytherapy (BT) has found extensive application in cervical cancer radiotherapy, attributed to its remarkable features of high-precision positioning and highly conformal dose distribution. However, the field lacks a comprehensive bibliometric analysis. This research provides a comprehensive bibliometric analysis of cervical cancer brachytherapy trends and key topics, projecting future research directions.
    METHODS: A search was executed within the Web of Science Core Collection for publications on cervical cancer brachytherapy until 2025/6/23. Analytical tools were utilized to conduct in-depth bibliometric and visual analyses of the relevant online publications. The analyses covered multiple aspects, including countries/regions, institutions, authors, journals, and keywords.
    RESULTS: A total of 2924 articles were analyzed, showing an upward trend. The USA was the most productive country, with the Medical University of Vienna leading in publications. Brachytherapy had the highest number of publications. Tanderup K was the most prolific author, while Pötter R was the most frequently co-cited author. The latest high-frequency keywords included "cervical cancer," "interstitial brachytherapy," and "image-guided brachytherapy," among others. Through keyword co-occurrence-based cluster analysis, 10 distinct clusters were generated, effectively highlighting the research hotspots and frontiers in cervical cancer brachytherapy.
    CONCLUSIONS: With medical imaging informatics advancing, research on cervical cancer brachytherapy has become increasingly profound. Recently, areas such as image-guided-adaptive-brachytherapy, effective biological dose, and radionecrosis have attracted significant research attention. Future research is expected to focus on developing and enhancing artificial intelligence (AI) tools to optimize brachytherapy treatment planning, aiming to benefit a larger number of cervical cancer patients.
    Keywords:  Bibliometric analysis; Brachytherapy; Cancer; Cervical cancer; Radiotherapy
    DOI:  https://doi.org/10.1007/s12672-025-03287-4
  10. Patient Prefer Adherence. 2025 ;19 2213-2226
    Emerging Research Trends on Medication Adherence in Tuberculosis Treatment: A Bibliometric Study of Research Between 2015 and 2024 to Inform Future Research Trajectory.
    Sidik Maulana, Lutfian Lutfian, Izdihar Javier Wardika, Rahmat Fadhli, Desfara Anggreani, Jonathan Hasian Haposan, Fahmi Wildana, Melani Adelia Efendi, Hesti Platini, Hartiah Haroen.
       Introduction: Current knowledge regarding tuberculosis (TB) medication adherence largely stems from scientific publications. However, to date, the volume and characteristics of studies specifically focused on TB medication adherence in Southeast Asia have not yet been systematically assessed. This study aims to conduct a comprehensive bibliometric analysis of research on medication adherence in TB treatment within this region.
    Methods: A bibliometric analysis was conducted using the Scopus database to identify research articles related to medication adherence in TB treatment in Southeast Asia, published in English between 2015 and 2024. The analysis included the number of publication trends, country of origin, citation metrics, co-authorship networks, keyword co-occurrence, and the most frequently cited documents.
    Results: A total of 146 journal articles were retrieved. Indonesia emerged as the most prolific contributor and demonstrated strong international collaboration. Keyword co-occurrence analysis revealed four major research themes: (1) clinical and demographic characteristics, (2) pharmacological management and disease burden, (3) socio-behavioral factors related to adherence, and (4) digital health-based treatment evaluation. Burst analysis of reference and keyword highlighted emerging research trends, particularly in "primary-community based care" and "digital health interventions", indicating potential trajectories for future research in TB medication adherence.
    Conclusion: This study provided an overview of the evolving research landscape on TB medication adherence in Southeast Asia. These findings highlight the growing emphasis on primary-community based care and digital health interventions, pointing toward shaping future research and practice.
    Keywords:  Southeast Asia; bibliometric; medication adherence; tuberculosis
    DOI:  https://doi.org/10.2147/PPA.S520341
  11. Front Psychiatry. 2025 ;16 1608930
    Global trends and hotspots of adolescent eating disorders: a bibliometric study and visual analysis.
    Qian Ye, Yiling Yang, Yue Qi, Jiale Li, Huijuan Lei, Lina Sun, Jie Zhang.
       Background: Adolescent eating disorders represent a category of mental illness, marked by elevated mortality and morbidity rates and a significant adverse impact on the quality of life of both patients and their families. As one of the most important directions in eating disorders, adolescent eating disorders have significant research value, social value, and practical significance. Surprisingly, the overall research landscape in this domain has yet to be systematically explored through bibliometric analysis. Consequently, this study aims to employ bibliometric methods to analyze published literature, providing a comprehensive and systematic summary of the current research advancements and hotspots in the field of adolescent eating disorders, as well as to forecast potential research directions and future trends.
    Methods: We retrieved studies related to adolescent eating disorders from the Web of Science Core Collection database, covering the period from January 1, 2011, to December 31, 2024. We conducted a bibliometric analysis of the literature, employed the visualization tools CiteSpace and VoSviewer. Our study focused on the number of publications, countries, institutions, journals that have cited the works, references, authors, and keywords, to uncover patterns and trends in the field.
    Results: A total of 1,077 articles were retrieved. The number of publications in this field has shown a steady upward trend. The United States leads in adolescent eating disorder research. The University of California is the most productive institution, with 134 papers. The International Journal of Eating Disorders is the most cited journal, with 993 citations. The reference "American Psychiatric Association, Diagnostic and Statistical Manual, 5th " has the highest citation frequency. Le Grange Daniel is the most prolific author. High-frequency keywords include "prevalence", "weight", and "risk factors". Emerging keywords are "mental health", "emotion management", "social media", and "validation".
    Conclusions: Adolescent eating disorders are gaining increasing global attention. Presently, research on this issue focuses on comorbidities between adolescent eating disorders and other mental illnesses, and their etiology, risk factors, and clinical assessment. In the future, the core research directions in this field will center on verifying the long-term effectiveness of eating disorder treatments, refining personalized assessment and treatment models, and furthering interdisciplinary integration in interventional approaches.
    Keywords:  Citespace; VOSviewer; adolescent; bibliometrics; eating disorders
    DOI:  https://doi.org/10.3389/fpsyt.2025.1608930
  12. Front Dent Med. 2025 ;6 1600672
    Advances in orthodontic treatment for periodontal disease: a bibliometric analysis, emerging insights and clinical implications.
    Jiahui Zhao, Zezhou Feng, Yujiang Liu, Silu Sun, Zhiyuan Feng.
       Objectives: This study aims to perform a comprehensive bibliometric analysis of research on orthodontic treatment for patients with periodontal disease. By examining publication trends, citation patterns, and research hotspots, we seek to understand the evolution of this field, identify future trends, and promote an integrated approach to enhance treatment outcomes and patient care.
    Methods: A comprehensive literature search was performed using the Web of Science and PubMed databases with the keywords "periodontal disease" "periodontology" "periodontitis" and "orthodontics".The retrieved records were systematically analyzed and visualized utilizing CiteSpace 6.2 and VOSviewer software. Bibliometric analysis was conducted across multiple dimensions, including authorship, geographic distribution (countries and institutions), keyword trends, and citation patterns in relevant journals.
    Results: After screening titles, abstracts, and keywords, a total of 580 articles met the inclusion criteria for further analysis. The leading publishing countries were China and USA with significant contributions from Grigore T. Popa University of Medicine & Pharmacy. Ionuț Luchian emerged as the most prolific author, while Ainamo J. demonstrated considerable influence based on citation metrics. Authoritative journals, such as the American Journal of Orthodontics and Dentofacial Orthopedics, were identified as the most frequently cited publications in this field.
    Conclusions: Future research in orthodontic treatment for patients with periodontal disease is expected to focus on developing personalized treatment plans, utilizing innovative biomaterials, designing advanced biomarkers and predictive models, integrating regenerative medicine approaches, and comprehensively assessing patients' overall quality of life. These directions aim to enhance treatment efficacy, improve patient outcomes, and ensure a more holistic and individualized approach to care.
    Keywords:  clinical application; orthodontic; periodontal disease; quality of life; translational medicine
    DOI:  https://doi.org/10.3389/fdmed.2025.1600672
  13. J Orthop Surg Res. 2025 Aug 02. 20(1): 724
    The bibliometric and visualization analysis of alcohol-induced osteonecrosis of the femoral head: research trends and future directions (1998-2024).
    Kai Pang, Huiying Li, Haifeng Chen, Zhentao Man, Dandan Wang, Wei Li.
       BACKGROUND: Osteonecrosis of the femoral head (ONFH) is a progressive, debilitating orthopedic condition that primarily results from compromised vascular supply. Chronic alcohol intake is a well-established non-traumatic etiological factor in ONFH. Despite the increasing global research on ONFH, a bibliometric analysis using explicit literature searches in Web of Science reveals that no studies have specifically focused on alcohol-induced osteonecrosis of the femoral head (AONFH). This study aims to provide a comprehensive overview of the global research landscape of AONFH, identifying key research hotspots, emerging trends, and future directions using both qualitative and quantitative bibliometric methods.
    METHODS: The Web of Science Core Collection was systematically searched for publications from 1998 to 2024 related to AONFH and identified 353 relevant articles. RStudio and Bibliometrix 4.1.0 were used to analyze annual publication volume and cited papers. VOSviewer was employed to conduct bibliographic coupling analysis and CiteSpace was used to analyze countries, institutions, authors, journals, and keywords. Microsoft Excel 2019 was utilized to perform linear regression on annual publication volume.
    RESULTS: Clinical Orthopaedics and Related Research had the highest number of publications and citations. Chinese scholars published the most, while U.S.-based research received greater international recognition. Shanghai Jiao Tong University ranked first in institutional output. Sugano Nobuhiko and Fukushima Wakaba were identified as the most influential scholars. The main research hotspots-as measured by keyword centrality and frequency-were "risk factors" and "core decompression," followed by "total hip arthroplasty," "alcohol intake," and "steroid-induced osteonecrosis." Over time, the focus of AONFH research has shifted from broader themes such as "disease," "smoking," "occupational status," and "idiopathic osteonecrosis" to more specialized areas including "gene expression," "polymorphisms," "steroid-induced osteonecrosis," and "risk factors."
    CONCLUSION: AONFH research has progressed significantly, especially with its transition from basic science to precision medicine, including innovations such as genomics and stem cell therapy. Early diagnosis and intervention are critical to improving outcomes. Future research is expected to focus on refining the identification of risk factors, optimizing core decompression techniques, and incorporating precision medicine to enhance the quality of life and long-term prognosis of patients with AONFH.
    Keywords:  Bibliometric analysis; Research hotspots; Research trends
    DOI:  https://doi.org/10.1186/s13018-025-06138-8
  14. Front Med (Lausanne). 2025 ;12 1606786
    New trends and hotspots in sepsis-related protein post-translational modification: a bibliometric and visual analysis.
    Lin Song, JingYi Ma, Wei Jiang, Ke Liu, Jing Wang, Hua Lin, Jiangquan Yu, Ruiqiang Zheng.
       Background: Sepsis is a clinical syndrome characterized by high morbidity and mortality rates, posing a severe threat to human health. Its pathophysiology is complex, involving multiple physiological and pathological processes. Protein post-translational modification (PTM) play a pivotal role in the pathophysiology of sepsis by regulating inflammation, immune responses, and organ dysfunction. In recent years, there has been a growing focus on the association between sepsis and PTM; however, a comprehensive and systematic analysis of the current research status and development trends in this field is still lacking.
    Methods: This study analyzed literature from the Web of Science Core Collection published between 2005 and 2024. CiteSpace, VOSviewer, and Excel facilitated the bibliometric analysis, visualizing publication trends, contributions across countries/regions and institutions, journal distributions, author collaboration networks, and keyword clusters.
    Results: A total of 1705 articles were included, originating from 58 countries/regions. The annual publication volume showed exponential growth (R 2 = 0.9662), with China leading the way (48.68%), followed by the United States (29.27%). Shanghai Jiao Tong University emerged as a high-yield institution (n = 51), while the University of Pittsburgh demonstrated the highest citation impact (with an average of 109.87 citations per article). Prominent journals featuring these articles include Shock (n = 77) and the Journal of Immunology (with an average citation of 65.75 times per article). Research hotspots were centered around phosphorylation, ubiquitination, and methylation, with emerging trends such as sepsis-associated acute kidney injury (SA-AKI), autophagy, and mitochondrial dysfunction.
    Conclusion: Research on the sepsis-related PTM is flourishing. This study systematically reveals the research dynamics and core trends in this field.
    Keywords:  bibliometric; methylation; post-translational modification; sepsis; ubiquitination
    DOI:  https://doi.org/10.3389/fmed.2025.1606786
  15. J Alzheimers Dis. 2025 Aug 06. 13872877251364845
    The role of mitochondrial dysfunction in diabetes-associated cognitive dysfunction: A bibliometric analysis.
    Chen Wang, Siyi He, Lingling Wang, Yushuang Yin, Wenqi Zhang, Guanwen Lin, Duozhi Wu, Qin Zhou, Zhihua Wang.
      BackgroundDiabetes, a prevalent chronic disorder, is frequently complicated by diabetes-associated cognitive dysfunction (DACD). The impact of diabetes on specific cerebral regions accelerates the progression from mild cognitive impairment to Alzheimer's disease. Research has indicated that mitochondrial dysfunction is a pivotal factor in DACD, yet its underlying mechanisms remain elusive.ObjectiveOur research aims to elucidate the research trends in this field over the past fifteen years by employing bibliometric analysis.MethodsA systematic search and aggregation of literatures related to mitochondrial dysfunction in DACD published within the Web of Science Core Collection from 2010 to 2024 were performed. Subsequently, a bibliometric analysis was conducted employing four bibliometric software: HistCite, R-bibliometrix, VOSviewer, and CiteSpace.ResultsA total of 309 papers were identified for analysis. The most prolific country, institution, and authors were China, University of Coimbra, Moreira PI, and Li YS, respectively. The USA, Texas Tech University, and Reddy PH were the key country, institution, and author, respectively. Among references to articles in this field, Diabetes has the most cumulative citations. According to the analysis of co-citations, oxidative stress was the largest cluster. The primary keywords were "Alzheimer's disease" and "oxidative stress". In recent years, the keyword "mitophagy" has received a lot of attention.ConclusionsOxidative stress represents a principal research topic within this field. Mitophagy offers a potential therapeutic avenue for DACD and may emerge as a novel focus of future investigations.
    Keywords:  Alzheimer's disease; bibliometric analysis; diabetes-associated cognitive dysfunction; mitochondrial dysfunction; mitophagy; oxidative stress
    DOI:  https://doi.org/10.1177/13872877251364845
  16. J Orthop Surg Res. 2025 Aug 07. 20(1): 735
    Global trends and research landscape of arthroscopic therapy and exercise rehabilitation in meniscal tear: a bibliometric analysis.
    Tuo Wang, Tianbao Zhou, Fangtian Chen, Yizhen Wang.
       BACKGROUND: Meniscus tears are common knee injuries managed via arthroscopy and rehabilitation. However, a comprehensive bibliometric analysis of trends and collaborations is lacking.
    METHODS: A bibliometric analysis of English-language literature (1985-2023) from the Web of Science Core Collection was conducted using VOSviewer, CiteSpace, and R package "bibliometrix" to analyze publications, citations, and keywords.
    RESULTS: A total of 607 articles were included in this study. The United States had the highest publication volume (191), followed by China (41) and Japan (39). The most productive institution was the University of Southern Denmark with 53 publications. American Journal of Sports Medicine was one of the most influential journals in its field. Key authors in the field included Roos EMA M. Early studies focused on clinical manifestations of meniscal tear, with keywords like "injuries", "diagnosis", "knee" being concentrated. Recently, themes of "risk", "reliability", and "validation" attracted attention of researchers, highlighting standard diagnosis and treatment. Notably, keywords persistent bursts continuing into 2024 included "outcome (outcm)" and "diagnosis".
    CONCLUSIONS: This study provides a comprehensive perspective on the fields of arthroscopic treatment and exercise rehabilitation for meniscal tears. These findings underscore the growing interest in standard diagnosis and treatment for meniscal tear by high-quality trials. More importantly, the combination of diagnosis and treatment by arthroscopy is a promising alternative option during clinical practice in the future.
    Keywords:  Arthroscopy; Bibliometrics; Exercise; Gold standard; Meniscectomy; Rehabilitation
    DOI:  https://doi.org/10.1186/s13018-025-06164-6
  17. Sex Med Rev. 2025 Aug 02. pii: qeaf045. [Epub ahead of print]
    Bibliometric analysis of infertility psychology: current status, hotspots, and emerging trends (2014-2024).
    Yingqi Li, Wanyu Wang, Shuting Huang, Jiangyou Long, Yingyue Shi, Lei Qiu.
       INTRODUCTION: The mental health concerns associated with infertility, encompassing conditions such as anxiety, depression, and stress, are of paramount importance. However, bibliometric analyses employing tools like CiteSpace and VOSviewer to study this domain have been notably lacking.
    OBJECTIVES: This research aims to fill this gap by employing these tools to analyze the current state, hotspots, and trends in infertility psychology, thereby offering a comprehensive review to assist researchers in navigating the research landscape.
    METHODS: Using Web of Science Core Collection as the data source, search for articles on psychological research on infertility patients from 2014 to 2024, and conduct bibliometric analysis using Microsoft Office Excel 2019, VOSviewer software, and CiteSpace. And draw tables and trend charts, generate network maps, cluster maps, etc., to evaluate relevant literature information, such as authors, countries, institutions, and keywords. In addition, use Price's law to calculate the number of core authors.
    RESULTS: A total of 324 articles related to the research on infertility psychology were retrieved. We observed that the number of publications has increased with fluctuations. The United States ranks first in terms of the overall research strength in this field. Review literature has the highest number of citations, and most of the research topics in the cited literature are related to stress, depression, anxiety, and so on. Keywords and clustering analysis indicate that, in the past decade, research has gradually been carried out on multiple dimensions around the psychological conditions of this group, such as group psychological interventions, birth cohort studies, the relationship between couples, measurement tools, and so on.
    CONCLUSION: The results of this study provide a scientific and comprehensive overview of the development of psychological research on infertility patients, enabling relevant authors and research teams to understand the current research status in this field. At the same time, the mental health of infertile patients is closely related to the sexual function of both spouses, and it is particularly important to use the Internet to intervene. Exploring hot topics and cutting-edge directions can also guide researchers to seek new perspectives and directions, such as groups, couples, interdisciplinary intersections, and so on.
    Keywords:  CiteSpace; VOSviewer; bibliometric analysis; infertility; psychology health; research trends
    DOI:  https://doi.org/10.1093/sxmrev/qeaf045
  18. J Cardiothorac Surg. 2025 Aug 05. 20(1): 322
    Macrophage bibliometric study and visualization in myocardial ischemia-reperfusion.
    Zhenhao Li, Baocheng Pei, Jun Ma, Yuxiang Zhu, Zhongdong Sun.
       PURPOSE: Restoration of blood flow after tissue ischemia aggravates the injury, a phenomenon known as ischemia-reperfusion injury. And ischemia-reperfusion injury of myocardium becomes a common cause of death after surgery in many patients. Relevant studies have proved that ischemia-reperfusion of myocardium has a strong correlation with autophagy, macrophage, endoplasmic reticulum, etc. Therefore, this paper systematically summarises and discusses the macrophage research in myocardial ischemia-reperfusion injury through visual research and metrological analysis, hoping to point out the direction for the researcher in this field.
    METHODS: We conducted a comprehensive search of publications on myocardial IRI and macrophages in the Web of Science Core Collection (WoSCC) database, covering the period from 2008 to June 2024. Bibliometric tools (CiteSpace, VOSviewer, and Excel) were used to analyze various factors such as publication trends, countries, institutions, journals, authors, and keywords. Visual maps were created to identify current research hotspots and forecast future developments in the field.
    RESULTS: For this study we included a total of 1039 relevant studies, with a dynamic upward trend in the number of publications. China and the United States are in the top two in terms of the number of publications. The institution with the most publications is Fudan University, and the one with the most collaborations is the Chinese Academy of Medical Sciences. We also obtained the most publications with the highest number of citations and the highest impact factor. Inflammatory processes, mitochondrial autophagy, endoplasmic reticulum stress, and macrophages are current hotspots. Exploring molecular proteins and effective strategies to inhibit myocardial I/R injury may become the focus of future research.
    CONCLUSION: Macrophages have emerged as a key area of focus in myocardial IRI research in recent years. This is the first bibliometric study to comprehensively analyze the research landscape on macrophages and myocardial IRI, providing valuable insights for researchers and guiding future developments in the field.
    Keywords:  Bibliometrics; Cardiomyocyte; CiteSpace; Ischemia–reperfusion injury; Macrophage; VOSviewer
    DOI:  https://doi.org/10.1186/s13019-025-03563-y
  19. J Vasc Interv Radiol. 2025 Aug 02. pii: S1051-0443(25)00508-1. [Epub ahead of print]
    A Bibliometric and Trend Analysis of Publications in JVIR and CVIR (2014-2025): Insights from Two Primary Interventional Radiology Journals.
    Victor Arthur Ohannesian, Miriana Mariussi, Henrique Busch Vaqueiro, Giovana Baracat Alvarez, Diego Rajchenberg, Isabele Pardo, Priscila Mina Falsarella, Miguel José Francisco Neto, Antonio Rahal Junior, Francisco Leonardo Galastri, Rodrigo Gobbo Garcia.
       PURPOSE: It was hypothesized that interventional radiology (IR) research output demonstrates regional disparities in productivity and citation impact, with distinct thematic trends driven by technological advancements.
    MATERIALS AND METHODS: This systematic review investigates the global scientific publications, citation impact, and thematic focus in IR between 2014 and 2025, highlighting key contributors, influential papers, and prevailing research topics in the field. Data on scientific publications were collected from two major journals, Cardiovascular and Interventional Radiology (CVIR) and the Journal of Vascular and Interventional Radiology (JVIR). Scientific publications by country and citation metrics were assessed, and a keyword analysis was performed to identify trends in research focus.
    RESULTS: The bibliometric analysis of 7,361 studies (2014-2025) revealed that the USA accounted for the largest share of scientific output (3,135 publications) and total citations (15,869), followed by China, Germany, France, and Japan. The most productive institutions included Mayo Clinic, University of Ulsan College of Medicine, and Northwestern University. While embolization, ablation, and hepatocellular carcinoma remained the most frequently studied themes, there was a clear upward trend in studies involving artificial intelligence, robotics, and advanced ablation modalities, suggesting a shift toward data-driven and precision technologies.
    CONCLUSION: The findings support the hypothesis of regional variation and thematic evolution in IR research. The USA had the highest number of publications in IR research, followed by Europe and Asia, reflecting a diverse and global research landscape. The field emphasizes oncological interventions, especially for liver-related conditions. Research on artificial intelligence, robotics, and advanced ablation technologies features prominently as emerging topics in the field.
    Keywords:  Bibliometric Analysis; Interventional Oncology; Interventional Radiology
    DOI:  https://doi.org/10.1016/j.jvir.2025.07.027
  20. Rheumatol Adv Pract. 2025 ;9(3): rkaf079
    Estimation of key indicators for bibliometric analysis in the applications of artificial intelligence in rheumatology.
    Maria Polyzou, Xenofon Baraliakos.
       Objectives: Our aim was to estimate some interesting indicators regarding artificial intelligence (AI) applications in rheumatology literature published between 2010 and 2024 as well as to verify the application of Lotka's law and Bradford's law for the author's scientific productivity in the field of these applications.
    Methods: A database was constructed using appropriate Scopus keywords related to the application of AI in the field of rheumatology and the indices were calculated using formulas found in relevant articles in the international literature. In addition, the applicability of Lotka's law and Bradford's law was used to evaluate the data of a bibliometric analysis in rheumatology.
    Results: The calculated indicators show the evolution and characteristics of publications in the scientific field under consideration. The results obtained show a high to moderate degree of author collaboration, while a small number of authors have published a relatively large number of articles. Also, a significant deviation was observed between the observed data and the ideal Lotka distribution, while the distribution of publications does not fit the Bradford distribution.
    Conclusion: The strong upward trend in the number of publications over the last 5 years indicates the great importance of AI in rheumatology. However, intensive work in this field is carried out by a few authors, who dominate scientific publications, which shows the reluctance of the majority of scientists to deal with the application of AI in rheumatology.
    Keywords:  Bradford’s Law; Lotka’s Law; artificial intelligence (AI); bibliometric analysis; collaboration indicators; rheumatology
    DOI:  https://doi.org/10.1093/rap/rkaf079
  21. Stud Health Technol Inform. 2025 Aug 07. 329 2024-2025
    Current Trends in Ethical Research on Clinical AI Applications in Mainland China: A Bibliometric Analysis.
    Shuxian Peng, Changyu Wang, Jialin Liu.
      This study aims to understand the current status of ethical research on clinical applications of artificial intelligence (AI) in mainland China. Relevant articles published between 2022 and 2024 were retrieved from the China National Knowledge Infrastructure (CNKI) database. A total of 27 articles were identified and analyzed. The journals, annual publications, and keywords of the articles were analyzed through bibliometric analysis. The study highlights the current state of ethical discourse and identifies areas requiring further attention.
    Keywords:  AI; Artificial Intelligence; China; Ethics; bibliometric analysis
    DOI:  https://doi.org/10.3233/SHTI251331
  22. Regen Ther. 2025 Dec;30 456-464
    A bibliometric analysis of the global status of platelet-rich plasma in regenerative medicine from 2004 to 2023.
    Siwen Zhang, Xudong Zhang, Haochen Zhang, Shengqing Zhang, Zichen Liu, Shanshan Wu, Yimeng Lu, Chao Han, Jichun Tan.
       Introduction: Platelet-rich plasma (PRP) is a plasma product that concentrates platelets from whole blood and used widely in regenerative medicine. This study aimed to evaluate the evolution, development trend, and research highlights of research status of PRP in regenerative medicine.
    Methods: Publications related to PRP were retrieved from the Science Citation Index Expanded (SCIE) database of the Web of Science (WoS) in February 2024. The impact factor (IF) was used to evaluate and compare the contributions of different countries. Then, the top 10 countries, top 10 productive journals, top 10 WoS categories, and top 10 most cited articles were listed. The data was processed, and the relative contributions of the top 10 productive countries in each year were presented in a line chart and a heatmap. VOSviewer software and heatmap were used to investigate the holistic trend of research highlights according to the change trends of keywords.
    Results: A total of 9,577 publications were retrieved from SCIE database. The USA topped the list with 2,311 papers, followed by China (1,583 papers), the UK (525 papers), and Spain (512 papers). The studies of PRP in regenerative medicine have increasing trend globally. The USA had the most total citation and took the leading position for relative contributions, the UK ranked 1st in average citations and average IF. However, China's contribution had a dramatically increasing trend since 2015, and exceeded the USA in 2022. There were seven keywords of "Bone-related cluster", "hyaluronic acid-related cluster", "cartilage-related cluster", "stomatology-related cluster", "damage repair-related cluster", "experiment-related cluster", and "nerve-related cluster" generated in keyword co-occurrence analysis. Except for bone & joint diseases, novel clinical applications of PRP have been carried out, including dental and neurological practice, reproductive medicine, dermatology, gynecology, and plastic surgery, cosmetic treatments, and the improvement of non-musculoskeletal organ function.
    Conclusion: To summarize, the research advancements of PRP appear to be more prominent in the United States and China. Experimental research on PRP is mostly concentrated on exploring on mechanism and signal pathway. As an effective adjuvant treatment, the clinical application of PRP has expanded from initial trauma repair to multiple systemic organ disorders. Leveraging the intersection of multiple disciplines, the development of novel PRP-based medical materials tailored to specific disease characteristics may represent a promising direction for future research.
    Keywords:  Bibliometric analysis; PRP; Platelet-rich plasma; Regenerative medicine
    DOI:  https://doi.org/10.1016/j.reth.2025.07.007
  23. Discov Oncol. 2025 Aug 03. 16(1): 1461
    Knowledge-map and bibliometric analysis of scientific research on FDA-approved Chimeric Antigen Receptor T cell products (2015-2024).
    Moutaz W Sweileh.
       BACKGROUND: Chimeric Antigen Receptor T cell (CAR-T) therapy is a groundbreaking, personalized immunotherapy that genetically engineers patient or donor-derived T cells to recognize and eliminate cancer cells. The U.S FDA has approved six CAR-T cell products in the past decade.
    OBJECTIVE: Given their clinical success and scientific novelty, this study aimed to map the research landscape surrounding the FDA-approved CAR-T cell therapies using bibliometric and knowledge mapping analysis.
    METHODS: A comprehensive title/abstract search was conducted in Scopus database for documents published between 2015 and 2024. The search terms included generic, trade, and abbreviated names of all FDA-approved CAR-T cell products. Bibliometric indicators including average annual growth rate, citation impact, key contributors, authorship pattern, and international collaboration were assessed. Visualization maps of co-authorship and keyword co-occurrence were generated using VOSviewer.
    RESULTS: A total of 1163 documents were retrieved, with an average annual growth rate of 63.4%. Tisa-cel and axi-cel dominated the literature with 51.7% (n = 601) and 554 (47.6%) publications respectively. Ide-cel appeared in 152 (13.1%) publications, liso-cel in 125 (10.7%), and cilta-cel in 120 (10.3%). Brexu-cel was the least represented with 106 (9.1%) publications. The retrieved publications received 57,097 citations (mean = 49.1 citations per article; H-index = 103). Hematology and oncology-related journals were most prolific. The United States led global research output with 694 (59.7%) publications. Research output from European countries showed strong dependence on U.S.-based partnerships. Institutionally, the University of Texas MD Anderson Cancer Center, with 132 publications, was the leading institutions, followed by Moffitt Cancer Centre, and Memorial Sloan-Kettering Cancer Center. Authorship analysis revealed significant collaborative efforts, averaging 10.9 authors per article. Co-authorship map revealed academia-industry partnership. Temporal analysis of keywords revealed an evolution from CD19 target research (tisa-cel and axi-cel) to BCMA focused therapies (ide-cel and celta-cel). Thematic analysis showed four research themes: (1) molecular, therapeutic, and regulatory development of CAR-T constructs; (2) outcome of clinical trials; (3) economic and policy dimension of CAR-T therapy; and (4) treatment of relapsed and refractory multiple myeloma.
    CONCLUSIONS: This study offers a translationally relevant perspective for clinicians, researchers, and policymakers, and underscores the evolving priorities in therapeutic development, access, and sustainability in precision oncology.
    Keywords:  Bibliometric; CAR-T cell therapy; Hematologic malignancies; Oncology; U.S. FDA
    DOI:  https://doi.org/10.1007/s12672-025-03360-y
  24. Drug Des Devel Ther. 2025 ;19 6357-6377
    A Comparative Study of Sugammadex and Neostigmine: A Bibliometric Analysis of the Past 15 Years.
    Dawei Yin, Bin Tang, Xiaoyan Hu, Huan Hu.
       Purpose: Sugammadex is a novel selective relaxant binding agent for aminosteroid neuromuscular blocking agents (NMBAs). However, existing literature reveals major knowledge gaps regarding its current applications and emerging research trends. Therefore, this study employed bibliometric analysis to map the evolutionary trajectory and research frontiers in sugammadex studies over the past 15 years.
    Methods: Publications on sugammadex (2009-2024) along with neostigmine studies (1993-2008) were retrieved from the Web of Science Core Collection. Data aggregation was performed using Microsoft Excel, while bibliometric visualizations were generated through the Bibliometrix package in R software. Additional network analyses were conducted using VOSviewer and CiteSpace.
    Results: The analysis encompassed 765 articles. Sugammadex-related research exhibited a notable upward trend, particularly from 2017 to 2021. The United States of America (USA) emerged as the most productive country in publication output (186 articles) and demonstrated superior quality (h-index: 16). Among institutions, Merck & Co. contributed the highest number of publications (74). Similar to neostigmine, key research areas for sugammadex have included: pharmacokinetics and pharmacodynamics, adverse reactions, clinical applications, and specific patient populations. This focus is evidenced by substantial common references and keywords.
    Conclusion: Sugammadex surpasses neostigmine in rapidly, effectively, and safely reversing NMB induced by rocuronium/vecuronium across all depths. Its use expands to reversing residual NMB from NMBAs in various patient groups (hepatic/renal impairment, obese, neuromuscular disease, elderly, pediatric) and scenarios like difficult airways. Future research will focus on adverse reactions, effects in special populations, establishing quantitative NMB monitoring standards, and understanding NMBA antagonism failure mechanisms.
    Keywords:  Sugammadex; bibliometric analysis; neuromuscular blockade; org25969; research trends; specific populations
    DOI:  https://doi.org/10.2147/DDDT.S519235
  25. Front Immunol. 2025 ;16 1625814
    Unveiling mitochondrial transfer in tumor immune evasion: mechanisms, challenges, and clinical implications.
    Ruoyan Liu, Wenhui Shan, Zhening Wang, Hong Wang, Chunyan Li, Lei Yang, Rui Guo.
       Background: Mitochondrial transfer, the intercellular transmission of mitochondria via tunneling nanotubes(TNTs), extracellular vesicles(Evs), or cell fusion, has emerged as a critical mechanism in cancer progression. Increasing evidence suggests that this phenomenon not only supports tumor cell metabolism and drug resistance but also contributes to immune evasion, a hallmark of cancer.
    Objective: This study aims to systematically explore the intellectual structure, research hotspots, and emerging trends of mitochondrial transfer in tumor immune evasion using bibliometric and visualization tools.
    Method: Publications from 2003 to 2025 were retrieved from the Web of Science Core Collection. CiteSpace and VOSviewer were used to analyze annual outputs, co-occurring keywords, citation bursts, clustering patterns, and co-cited references.
    Results: A total of 124 records were analyzed. The number of publications increased sharply after 2017, indicating growing research interest. Key terms such as "tunneling nanotubes," "mitochondrial transfer," and "immune escape" were frequently co-mentioned. Although "immune escape" is retained here to reflect the exact terminology used in the bibliometric database (Web of Science Core Collection), the manuscript text consistently adopts the term "immune evasion" for conceptual clarity and terminological standardization. Timeline cluster analysis identified several sustained hotspots, including acute myeloid leukemia (AML), stromal cells, and the cancer microenvironment. Citation burst analysis revealed emerging attention toward "expression," "stem cells," and "tumor microenvironment" in recent years.
    Conclusion: Mitochondrial transfer has transitioned from a structural phenomenon to a key immunological modulator in cancer. This bibliometric analysis highlights its central role in immune evasion and identifies future research directions for therapeutic exploitation.
    Keywords:  bibliometric analysis; immunology; mitochondrial transfer; tumor immune evasion; tumor microenvironment
    DOI:  https://doi.org/10.3389/fimmu.2025.1625814
  26. PLoS One. 2025 ;20(8): e0328531
    Features and signals in precocious citation impact: A meta-research study.
    John P A Ioannidis.
      The current analysis aimed to evaluate the profiles of scientists who reach top citation impact in a very short time once they start publishing. Precocious citation impact was defined as rising to become a top-cited scientist within t ≤ 8 years after the first publication year. Ultra-precocious citation impact was defined similarly for t ≤ 5 years. Top-cited authors included those in the top-2% of a previously validated composite citation indicator across 174 subfields of science or in the top-100,000 authors of that composite citation indicator across all science based on Scopus. Annual data between 2017 and 2023 show a strong increase over time, with 469 precocious and 66 ultra-precocious citation impact author profiles in 2023. In-depth assessment of validated ultra-precocious scientists in 2023, showed significantly higher frequency of less developed country affiliation; clustering in 4 high-risk subfields; high self-citations for their field; being top-cited only when self-citations were included; high citations to citing papers ratio for their field; extreme publishing behavior; extreme citation orchestration metric c/h2; and high percentage of citations given to first-authored papers compared with all top-cited authors (p < 0.005 for all signals). The 17 ultra-precocious citation impact authors in the 2017-2020 top-cited lists who had retractions showed on average 4.1 of these 8 signal indicators at the time they entered the top-cited list. In conclusion, while some authors with precocious citation impact may be stellar scientists, others probably herald massive manipulative or fraudulent behaviors infiltrating the scientific literature.
    DOI:  https://doi.org/10.1371/journal.pone.0328531
  27. Surg Innov. 2025 Aug 07. 15533506251367251
    Shaping the Future of Surgical Procedures: A Bibliometric Analysis of Advanced Polymeric Surgical Materials Research in the Last Decade.
    Wenhan Wu.
      AimThis study aims to systematically analyze the global research landscape of polymeric materials in surgical applications, identifying core themes, technological trends, and clinical translation potential over the past decade.MethodsA bibliometric analysis was conducted using the Web of Science Core Collection (2016-2025). A targeted search strategy combining polymer-related, surgery-related, and functional biomedical keywords was applied. Data were analyzed using the Bibliometrix R package and VOSviewer to explore publication trends, international collaborations, keyword co-occurrence, and citation networks. Key studies were manually reviewed to interpret their technological contributions.ResultsA total of 4668 original articles were retrieved, showing a 15.8% annual growth. China led global output (49.9%), followed by the USA. Keyword clustering revealed four major themes: nanoparticle-based drug delivery, biological responses and angiogenesis, clinical surgical applications (eg, hemostasis, adhesion), and multifunctional hydrogels. Research hotspots included antibacterial, adhesive, and hemostatic materials. Highly cited studies focused on injectable, self-healing, and bioactive hydrogels for complex wound repair and organ-specific applications.ConclusionThe field of surgical polymeric materials is rapidly advancing toward multifunctional, minimally invasive, and responsive systems. This bibliometric study provides a data-driven knowledge map to guide future research and promote clinical translation, helping bridge the gap between material innovation and surgical application. Future research should also focus on optimizing the scalability and cost-effectiveness of these technologies while addressing regulatory and safety challenges. Large-scale clinical trials and interdisciplinary education help bridge the gap between materials science and clinical implementation.
    Keywords:  3D printing; bibliometric analysis; hydrogels biodegradable polymers; minimally invasive surgery; nanocarriers; polymeric surgical materials; shape-memory polymers; soft robotics
    DOI:  https://doi.org/10.1177/15533506251367251
  28. Clin Nurs Res. 2025 Aug 04. 10547738251349307
    Current Trends and Research Hot Spots in Traumatic Birth: A Bibliometric Analysis.
    Jing Gu, Yingdan Wu, Ying Shen, Hui Yu, Yuying Chen.
      The identification of traumatic birth is becoming a major global health concern. Evaluating the existing research can help shape future directions for traumatic birth studies. This study aimed to provide a comprehensive and up-to-date summary of research articles on traumatic birth. We performed a bibliometric analysis using the Science Citation Index Expanded of the Web of Science Core Collection database, covering the period from January 1, 1985, to June 30, 2023. A total of 1,568 original articles were found, indicating a significant increase in traumatic birth research. The United States was the most prolific country, followed by Australia and Canada. The University of Sydney, the University of Toronto, and the University of Pittsburgh were the top 3 institutions in terms of published documents. The terms "infants," "perceptions," and "birth injuries" had the highest burst strengths. MeSH Bibliographic Item Co-Occurrence Matrix Builder analysis identified six major research topics, with birth injuries and their prevention and control, as well as brachial plexus/shoulder injuries and surgery, being the most concentrated areas. While traumatic birth is not yet universally recognized and its scope remains under discussion, it is increasingly becoming a significant issue. Understanding the priorities and trends of research can guide future academic endeavors, highlighting areas that require further investigation and development.
    Keywords:  MeSH BICOMB analysis; bibliometric analysis; birth injuries; global health; traumatic birth
    DOI:  https://doi.org/10.1177/10547738251349307
  29. Front Neurol. 2025 ;16 1618910
    Global research trends and frontiers in patent foramen ovale closure: a comprehensive bibliometric analysis (2004-2024).
    Jie Liu, Yehong Liu, Ying Sheng, Jiangping Ye, Rikang Yuan, Xiao Wang, Gangjun Zong.
       Background: Patent foramen ovale (PFO), present in 20-30% of the population, was once considered benign but is now recognized as a contributor to cryptogenic stroke and other clinical syndromes. Recent randomized trials and updated guidelines have established PFO closure as an effective intervention, leading to a surge in research. This study uses bibliometric analysis to evaluate global research trends, collaborations, and emerging hotspots in PFO closure.
    Methods: We analyzed 927 English-language articles (2004-2024) from the Web of Science Core Collection using bibliometric tools (VOSviewer, CiteSpace, Bibliometrix R, online bibliometric analysis platforms). We systematically examined publication trends, contributions by countries and institutions, author networks, journal influence, and keyword clusters.
    Results: Annual publications increased significantly after 2017, coinciding with pivotal trial results. The United States (34.6%), Italy (16.8%), and Germany (11.5%) led in research output. Key institutions (e.g., University of Bern) and prominent authors (e.g., Meier Bernhard) played central roles. Four major research clusters were identified: mechanisms of paradoxical embolism, diagnostic imaging (e.g., transesophageal echocardiography), closure techniques (e.g., Amplatzer devices), and clinical outcomes. Burst detection revealed evolving priorities, including post-closure atrial fibrillation and improved patient selection (e.g., RoPE score).
    Conclusion: Research on PFO closure has progressed from pathophysiological understanding to evidence-based clinical intervention, driven by landmark trials and multidisciplinary collaboration. Future directions include optimizing patient selection, managing post-procedural complications, and expanding indications (e.g., migraine). This analysis offers a roadmap for advancing stroke prevention strategies related to PFO.
    Keywords:  atrial fibrillation; bibliometric analysis; cryptogenic stroke; global research trends; patent foramen ovale closure; percutaneous intervention
    DOI:  https://doi.org/10.3389/fneur.2025.1618910
  30. Front Neurol. 2025 ;16 1595379
    Knowledge mapping of exosomes in ischemic stroke: a bibliometric analysis.
    Xiaofang Ding, Guoying Zou, Nuoya Ma, Xudong Tang, Jia Zhou.
       Background: Ischemic stroke is a disease in which local ischemia and hypoxia of brain tissues are caused by obstruction of blood vessels in the brain, which in turn triggers brain tissue damage and neurological dysfunction. Recent studies have made significant progress in understanding the role of exosomes in ischemic stroke. Exosomes exhibit anti-inflammatory, immunomodulatory, anti-apoptotic, angiogenic, and neuroregenerative effects, as well as glial scar reduction and drug delivery effects in ischemic stroke. However, there is a notable gap in bibliometric analyses that focus specifically on this subject. This study systematically evaluated the current knowledge and identified emerging research trends regarding exosomes in ischemic stroke through a bibliometric analysis.
    Methods: We retrieved research articles on the role of exosomes in ischemic stroke published between 2004 and 2023 from the Web of Science Core Collection (WoSCC) database and then conducted a bibliometric analysis using VOSviewer, CiteSpace, and the bibliometrix package in the R programming environment.
    Results: A comprehensive analysis of 374 publications from 38 countries revealed a steady increase in research focused on exosomes in ischemic stroke. This analysis significantly emphasized the contributions of researchers from China and the United States. Key research institutions in this field include Henry Ford Health System, Henry Ford Hospital, and Shanghai Jiao Tong University. The International Journal of Molecular Sciences is the top journal in terms of publication output, and Stroke is the most frequently co-cited journal. This extensive study involved 468 authors, the most prolific of whom are Michael Chopp, Zhengbiao Zhang, and Liang Zhao, Hongqi Xin is the most frequently co-cited researcher. The primary areas of investigation are the role of endogenous exosomes in initiating and progressing ischemic stroke, as well as the potential therapeutic applications of exogenous exosomes.
    Conclusion: In the context of ischemic stroke, a recent bibliometric evaluation provided a comprehensive analysis of research trends and developments related to exosomes. The findings of this study highlight current research frontiers and identify significant emerging trends. These findings offer a crucial resource for researchers focusing on exploring exosomes.
    Keywords:  CiteSpace; VOSviewer; bibliometrics; exosomes; ischemic stroke
    DOI:  https://doi.org/10.3389/fneur.2025.1595379
  31. J Maxillofac Oral Surg. 2025 Aug;24(4): 899-913
    Surface Characteristics and Their Influence on Osseointegration: A Scientometric Analysis with a Focus on Dental Implants.
    Mayank Mathur, Peeyush Phogat, Mukesh Jewariya, Meher Wan.
       Background: Surface roughness is a critical factor in implant technology, influencing osseointegration and biocompatibility. A thorough understanding of the research landscape is essential to track advancements, key contributors, and highlight emerging trends.
    Objective: To perform a scientometric analysis of research on surface roughness in implants, identifying trends, highly contributing institutions, collaboration networks, and emerging research areas.
    Methods: Data was collected from the Web of Science Core Collection using a structured search strategy focused on surface roughness and implant-related terms. Bibliometric techniques, including citation analysis, keyword co-occurrence mapping, and collaboration network visualization, were employed to analyze the dataset.
    Results: The analysis identified leading institutions, and highly cited publications in the field. Keyword trends indicated growing interest in 3D printing, novel biomaterials, and advanced surface modification techniques. Collaboration networks highlighted interdisciplinary engagement.
    Conclusion: While significant advancements have been made in understanding surface roughness in implant technology, future research should focus on long-term effects and standardized roughness parameters. Emerging technologies, such as additive manufacturing and bioengineered surfaces, present promising avenues for further innovation.
    Keywords:  Biomedical implants; Dental implants; Scientometric analysis; Surface roughness; Surface topography
    DOI:  https://doi.org/10.1007/s12663-025-02519-y
  32. Ann Neurosci. 2025 Aug 05. 09727531251355822
    Mapping the Neuroeducation Landscape: A Bibliometric Analysis (2020-2025).
    Shruti Shukla, Priya Shukla, Rashmi Gore, Badri Narayan Mishra, Ashish Kumar Katiyar, Vimal Singh.
       Background: Neuroeducation is an interdisciplinary area of study which combines insights of neuroscience, psychology, and education to enhance learning, using the body of scientific knowledge regarding the brain. Even though scholars have already investigated different details related to neuroeducation, thorough bibliometric research in the area remains absent.
    Summary: This review will provide a conceptual framework that will be used to analyse neuroeducation studies published in 2020-2025 on a medical database that would be accessed through Dimensions AI. The analyses involving VOSviewer of co-authorship, co-citation, and keywords in relation to 1,507 peer-reviewed articles were assessed. Key contributors, institutions, and theme clusters are suggested in the study. The United States, Canada and Spain became the leading contributors whereas such researchers as Antonopoulou Hera and Steve Masson made a significant contribution to the field.
    Key Message: The current bibliometric analysis gives us a vivid picture of the development of neuroeducation, its trends, and collaboration which can be used by educators, researchers, and policymakers when establishing the global network of research and filling the conceptual divide between neuroscience and practice in education.
    Keywords:  Neuroeducation; VOSviewer; bibliometric analysis; co-authorship networks; educational neuroscience; research trends
    DOI:  https://doi.org/10.1177/09727531251355822
  33. Int J Surg. 2025 Aug 07.
    Comment on "Exploring the landscape of exosomes in heart failure: a bibliometric analysis".
    Wang Liu.
      
    DOI:  https://doi.org/10.1097/JS9.0000000000003111
  34. Exp Gerontol. 2025 Aug 05. pii: S0531-5565(25)00186-X. [Epub ahead of print]209 112857
    Cellular senescence in skeletal diseases: A bibliometric analysis from 2007 to 2024.
    Xuanrui Zhang, Biao Yang, Xunpei Xu, Zhanrong Zhang, Zhengbo Tao, Weijin Zhang, Zheng Zhang, Xuhui Zhou.
       BACKGROUND: Cellular senescence is a state of permanent cell cycle arrest. Numerous studies have highlighted the significant role of cellular senescence in age-related skeletal diseases, including intervertebral disc degeneration (IDD), osteoporosis, and osteoarthritis (OA). This article aims to review the current research landscape and identify emerging trends.
    METHODS: Literature concerning cellular senescence and skeletal disease was obtained from the Web of Science Core Collection database, covering publications from 2007 to 2024. The Bibliometrix R package, VOSviewer, and CiteSpace were employed to perform the bibliometric analysis.
    RESULTS: A total of 2653 publications were analyzed, revealing a rapid growth trend. China emerged as the dominant contributor, with the highest publication volume (n = 1148), while the United States led in citation impact (total citations = 50,420). Key journals, such as Osteoarthritis and Cartilage and Aging Cell, served as primary platforms for high-impact studies. The most influential author was James L. Kirkland, followed by Richard F. Loeser. Keyword clustering identified cellular senescence in intervertebral disc degeneration, osteoporosis, and osteoarthritis as core research domains, while current frontiers focus on the senescence-associated secretory phenotype (SASP), mitochondrial dysfunction, extracellular vesicles, and immune infiltration.
    CONCLUSION: Research in this field has garnered substantial attention in recent years. This bibliometric analysis not only underscores the correlation between cellular senescence and skeletal diseases, but also highlights that targeting cellular senescence and the SASP may offer potential therapeutic strategies. These findings can inform future research directions and the development of targeted interventions for age-related skeletal conditions.
    Keywords:  Bibliometric; Cellular senescence; Skeletal diseases; Visualized analysis
    DOI:  https://doi.org/10.1016/j.exger.2025.112857
  35. Am J Clin Hypn. 2025 Aug 04. 1-16
    Mapping EEG-based hypnosis research: a bibliometric study.
    Martaria Rizky Rinaldi, Gilles van Luijtelaar, Nida Ul Hasanat, Kwartarini Wahyu Yuniarti.
      Hypnosis, traditionally studied as a psychological phenomenon, is increasingly explored through electroencephalography (EEG) to monitor alterations in brain activity associated with the hypnotic state. This study provides a bibliometric analysis of EEG-based hypnosis research, mapping key trends, contributors, and emerging themes. A Scopus-based bibliometric analysis was conducted on January 24, 2025, retrieving 135 publications using relevant keywords. The study examined publication trends, leading authors, institutions, contributing countries, journal sources, and keyword co-occurrence networks using VOSviewer. Findings show a publication upwelling from 2013 to 2015, followed by stable growth (2016-2024). The United States, Germany, Italy, and the United Kingdom lead the field, with Harvard Medical School and the University of Washington as the most prominent institutions. Keyword co-occurrence analysis revealed four primary research clusters: (1) neurophysiological mechanisms of hypnosis, (2) clinical applications in pain management and anesthesia, (3) EEG-based markers of hypnotizability, and (4) intersections with sleep and consciousness. Emerging themes include the integration of artificial intelligence (AI), neurofeedback, and virtual reality (VR) technologies. The findings suggest that hypnosis is increasingly conceptualized as a quantifiable neurophysiological process. However, methodological inconsistencies - particularly in EEG protocols and hypnotic induction techniques - limit cross-study comparability. Future research should prioritize methodological standardization to improve cross-study comparability and reproducibility, international collaboration to address geographic disparities, and the incorporation of advanced neurotechnology to enable real-time monitoring and personalized hypnotic interventions.
    Keywords:  Bibliometric analysis; EEG; hypnosis
    DOI:  https://doi.org/10.1080/00029157.2025.2532452
  36. Front Immunol. 2025 ;16 1578838
    Integrating clinical trial landscapes and bibliometric analysis: unveiling the impact of PD-1/PD-L1 inhibitors on renal cell carcinoma research and therapeutic trajectories summary.
    Yuanbin Huang, Xinmiao Ma, Hengxing Zhu, Chen Shen, Ke Hu, Yang Yu, Aoyu Yang, Zhuo Liu, Chuanyang Liu, Wenrui Shi, Wei Wang, Xueyan Xia, Jiawen Wang, Xiancheng Li.
       Background: Renal cell carcinoma (RCC) is a prevalent tumor of the urinary system. Beyond surgical treatment, targeted therapies and immunotherapies are the primary therapeutic options for RCC. Although immunotherapy has been extensively studied, research on the association between the immune checkpoint PD-1/PD-L1 and RCC remains relatively novel. Thus, we aim to assess the global scientific outcomes of studies focusing on PD-1/PD-L1 in RCC from 2005 to 2024 and to identify emerging research trends.
    Methods: Data were collected from the Web of Science Core Collection using a predefined search strategy. A total of 1,597 articles were ultimately included. In addition, 258 clinical trials registered on ClinicalTrials.gov from 2011 to 2024 were reviewed to evaluate the translational progress and global research activity. The articles were visualized and analyzed using GraphPad Prism and the bibliometric tools CiteSpace and VOSviewer.
    Results: The number of publications in this field has shown a consistent upward trend, with a marked increase starting in 2013 and peaking in 2021. At the national level, the United States ranks first in both the number of publications (n = 625) and total citations (n = 68,687). At the institutional level, Harvard University is the most productive and most cited institution among all contributors. The Journal for Immunotherapy of Cancer published the highest number of articles (n = 66), whereas the New England Journal of Medicine was the most frequently co-cited journal (n = 1,300), indicating its authoritative influence. Notable individual contributors, including Choueiri TK and Motzer RJ, have played pivotal roles in advancing research, particularly in first-line combination therapies for RCC. Frequently occurring keywords such as "immunotherapy," "nivolumab," "expression," and "immune checkpoint" reflect current research hotspots and suggest future directions in this domain. Clinical trial analysis revealed that most studies were early-phase, sponsor-driven, and regionally heterogeneous in design and outcomes, highlighting both the promise and the ongoing challenges of clinical translation.
    Conclusion: This study provides domestic and international researchers with a comprehensive overview of the current research landscape surrounding PD-1/PD-L1-based immunotherapy in RCC. Moreover, it identifies emerging research trends and translational progress, thereby offering valuable guidance for subsequent scientific investigations and clinical application.
    Keywords:  PD-1/PD-L1; bibliometric analysis; immunotherapy; renal cell carcinoma; research trends
    DOI:  https://doi.org/10.3389/fimmu.2025.1578838
  37. Front Neurol. 2025 ;16 1624101
    Global collaboration and innovation in malignant cerebral edema research: a bibliometric perspective.
    Xinhua Peng, Rongrong Zhu, Ke Zhang, Jianghong Ji, Chuanguo Lv, Feng Feng.
       Aim: Malignant cerebral edema (MCE) is a life-threatening complication of acute brain injuries, with mortality rates exceeding 80% in the absence of treatment. Despite advancements in osmotic therapies and decompressive craniectomy (DC), MCE continues to pose substantial clinical challenges. This study systematically maps the evolution of MCE research (2005-2024) to identify key trends, research gaps, and future priorities.
    Methods: A bibliometric analysis of 1,460 peer-reviewed articles from the Web of Science Core Collection was conducted using CiteSpace, VOSviewer, and Bibliometrix. Key metrics included publication trends, geographic and institutional contributions, keyword co-occurrence, citation networks, and co-authorship patterns.
    Results: Annual publications increased from 55 in 2005 to 128 in 2024, progressing through three distinct phases: Foundational growth (2005-2009), consolidation (2010-2014), and rapid expansion (2015-2024). The United States (28.9%) and China (18.7%) dominated research output, with Harvard University and the University of California System leading institutional collaboration clusters. High-impact journals highlighted clinical advancements, including Stroke (h-index = 27). Keyword analysis demonstrated a thematic progression from blood-brain barrier pathophysiology to clinical innovations, including DC and emerging predictive modeling techniques incorporating machine learning. Landmark trials, including DECIMAL and HAMLET, validated early surgical intervention, while emerging trends have emphasized precision medicine and artificial intelligence (AI)-driven risk stratification.
    Conclusion: The MCE research has transitioned from foundational pathophysiology to interdisciplinary clinical practice and data integration. However, critical gaps remain, including underrepresentation in pediatric research, disparities in global neurocritical care, and challenges in translational application. Future priorities should focus on biomarker discovery, equitable global collaborations, and AI-enhanced frameworks to transform survival into functional recovery worldwide.
    Keywords:  bibliometric analysis; blood–brain barrier; cytotoxic edema; decompressive craniectomy; global collaboration; malignant cerebral edema; neurocritical care; precision medicine
    DOI:  https://doi.org/10.3389/fneur.2025.1624101
  38. Medicine (Baltimore). 2025 Aug 01. 104(31): e42716
    Exploring the influence of growth factors in diabetic foot: A comprehensive bibliometric analysis.
    Jinxiang Shang, Cong Jin, Fei Wang, Zhenyu Zhang, Lu Xie, Qingbo Zhou, Yaqing Wang, Xinfang Xu, Songou Zhang, Jianlei Li.
       BACKGROUND: Diabetic foot, a common complication of diabetes, impairs wound healing, leading to ulcers and an increased risk of amputation. Growth factors play a critical role in the management of diabetic foot, influencing wound repair and tissue regeneration. This study employs bibliometric analysis to assess research on growth factors in diabetic foot and predict future research trends.
    METHODS: Scholarly articles published between January 1, 2008, and March 31, 2024, were retrieved from the Web of Science Core Collection database. Analytical and visualization tools such as VOSviewer, CiteSpace, R software, PRISM, and Scimago were utilized for the study.
    RESULTS: Over the past 17 years, the number of publications has steadily increased. Aristidis Veves is the most prominent author, with Harvard University being the leading institution. The most cited papers are "Recent Advances in the Development of Wound Dressings for Diabetic Foot Ulcer Treatment" and "Wound Healing and Its Impairment in the Diabetic Foot." Key research areas include cellular mechanisms, economic burden, and treatment targets. Current research hotspots focus on oxidative stress and diabetic wound healing, with future trends leaning toward personalized medicine and advanced technologies.
    CONCLUSION: This bibliometric analysis highlights current trends in growth factor research for diabetic foot, emphasizing oxidative stress and personalized medicine as emerging areas. These findings provide valuable insights for future research and potential improvements in treatment strategies, with the goal of enhancing patient outcomes and reducing the burden of diabetic foot complications.
    Keywords:  diabetic foot; diabetic wound healing; growth factors; oxidative stress
    DOI:  https://doi.org/10.1097/MD.0000000000042716
  39. Medicine (Baltimore). 2025 Aug 01. 104(31): e43603
    Bibliometric and visual analysis of digital healthcare in cancer pain management via mobile apps.
    Qiu-Song Shen, Hou-Ming Kan, Rui-Yu Wang, Nai-Fa Li, Sha Wang, Xue-Qin Rong.
       BACKGROUND: Cancer pain is a common symptom among cancer patients, and although opioid drugs are effective, they have side effects and abuse issues. In recent years, mobile apps have gradually been used as digital healthcare for cancer pain management. By visualizing and analyzing the literature on the control of cancer pain through mobile apps, we aim to understand the current research status and hot issues in this field and explore future directions for digital smart healthcare research.
    METHODS: CiteSpace software was used to visually analyze 252 articles on mobile app-based cancer pain control indexed by the Web of Science core collection database from 1995 to 2024. Microsoft Excel 2021 and GraphPad were used to draw world maps to evaluate the number of national articles and generate trend charts for annual publications.
    RESULTS: Visual analysis revealed that the number of publications has been increasing annually. In terms of the number of published articles, the top 3 countries are the United States, China, and Australia. The analysis of highly cited literature indicates that the main apps involved are Pain Buddy, mHealth, The Pain Guard app, The mHealth Pain Squad+, and STAR, which target adults, children, and adolescents. Keywords and citation analysis indicate that quality of life, pain, breast cancer, palliative care, and mobile health may be hotspots and future directions of cancer pain research in mobile apps.
    CONCLUSION: Digital healthcare via mobile apps provides intelligent assistance for treating cancer pain, which is conducive to developing intelligent and painless cancer treatment and management strategies.
    Keywords:  bibliometric analysis; cancer; cancer-related pain; digital healthcare; mobile app; visual analysis
    DOI:  https://doi.org/10.1097/MD.0000000000043603
  40. J Orofac Orthop. 2025 Aug 04.
    Bibliometric analysis of research trends in early orthodontic treatment: a two-decade perspective (2000-2025).
    Simin Li, Dan Zhao, Jiemin Chen, Longwen He, Shaonan Hu, Wenzhong Zhang.
       BACKGROUND: Early orthodontic treatment has evolved significantly over the past decades, with advances in diagnostic techniques, treatment methodologies, and interdisciplinary approaches. Despite its importance in pediatric dental care, a comprehensive bibliometric evaluation of research trends in this field has been lacking.
    OBJECTIVE: To conduct a systematic bibliometric analysis of the research landscape and developmental trends in early orthodontic intervention for children and adolescents from 2000-2025.
    METHODS: Literature data were retrieved from Web of Science Core Collection and Scopus databases using comprehensive search strategies targeting early orthodontic treatment research. The final dataset of 906 articles was analyzed using VOSviewer 1.6.20 and CiteSpace 6.1R6 visualization software to examine publication trends, author and institutional collaboration networks, journal distributions, geographical contributions, and keyword co-occurrence patterns.
    RESULTS: Research output demonstrated consistent growth from 6 publications in 2000 to 85 in 2023. Lorenzo Franchi emerged as the most productive author (12 publications), while the University of Milan led institutional contributions (28 publications). The American Journal of Orthodontics and Dentofacial Orthopedics was the primary publication venue (88 articles). Italy (161 publications) and the USA (144 publications) were the leading contributors. Keyword analysis revealed "children" as the most frequent term (270 occurrences), followed by "orthodontic treatment" (125 occurrences) and "prevalence" (106 occurrences), with distinct evolution patterns showing a transition from fundamental concepts like "growth" (appearing in 2000) to specialized terms such as "obstructive sleep apnea" (2015) and "quality of life" (2020), while citation burst analysis identified "quality of life" with the strongest recent burst strength (5.92).
    CONCLUSION: Early orthodontic treatment research has evolved from foundational concepts to patient-centered outcomes and technological applications, with increasing interdisciplinary focus and internationalization requiring sustained collaborative efforts to address emerging clinical priorities.
    Keywords:  Citation analysis; CiteSpace; Dental journalism; Research trends; VOSviewer
    DOI:  https://doi.org/10.1007/s00056-025-00604-y
  41. Urologia. 2025 Aug 06. 3915603251360527
    Advances in targeted therapies by PARP inhibitors for the treatment of prostate cancer: A scientometric approach.
    Iman Menbari Oskouie, Naghmeh Khavandgar, Hediyeh Alemi, Heydar Ali Mardani-Fard, Amir-Hossein Mousavian, Maryam Noori, Azadeh AleTaha, Akbar Soltani, Fateme Guitynavard, Seyed Reza Yahyazadeh, Amir Kasaeian.
       INTRODUCTION: The most prevalent cancer in men is prostate cancer (PCa). One significant discovery involves attacking tumors with mutations in DNA damage repair genes via the blockage of poly(ADP-ribose) polymerase (PARP) enzymes. In this study, we provide a summary of the present research status of PARP inhibitors in PCa, highlighting areas of interest and emerging trends.
    METHOD: Our search covered the Scopus database for literature on PARP inhibitors in PCa up to the year 2023. We conducted a scientometric review using VOSviewer to evaluate the output across countries, institutions, authors, journals, references, and keywords.
    RESULTS: The study included 1850 articles on PARP inhibitors in prostate cancer (PCa) published until 2023, with medicine, biochemistry, and pharmacology being the most represented subject areas. The United States led in publication volume (n = 800, 43.2%), followed by the United Kingdom (n = 281, 15.2%) and China (n = 198, 10.7%), and also achieved the highest total citations and H-index. A positive correlation was identified between publication volume and gross domestic product (GDP; r = 0.843, p < 0.001). Antonarakis, E.S., from the United States, ranked as the most prolific author (49 publications) and achieved the highest H-index, while Mateo, J. was the most cited. The Institute of Cancer Research emerged as the most active institution, publishing 91 articles, and the journal Cancers contributed the highest number with 99 articles. In keyword analysis, "prostate cancer" and "PARP inhibitors" were the most used terms, forming six thematic clusters. Citation and co-citation analysis highlighted the influential role of high-impact journals like New England Journal of Medicine and Journal of Clinical Oncology.
    CONCLUSION: The United States has taken the lead in this sector by making the largest contribution in terms of overall publications. Although international partnerships are occurring globally, there is a need for more assistance and expansion of research on PAPR inhibitors in PCa, particularly in underdeveloped nations. This study offers assistance to medical professionals, scientists, and surgery assistants on the worldwide results of PAPR inhibitors in PCa research.
    Keywords:  PARP inhibitors; bibliometric; prostate cancer; scientometric
    DOI:  https://doi.org/10.1177/03915603251360527
  42. J Multidiscip Healthc. 2025 ;18 4291-4308
    Worldwide Research Trends on Lung Cancer and Microbiota: A Bibliometric and Visualized Analysis.
    Yi-Feng Ren, Shi-Yan Tan, Qian Wang, Jia-Wei He, Feng-Ming You, Qiong Ma, Li-Ting You.
       Background: The microbiota is intricately linked to lung cancer's development, progression, diagnosis, and treatment, garnering significant academic interest. This study employs bibliometric methods to trace trends and advancements, emphasizing the extraction and analysis of clinical research data, and outlines current challenges and future research directions.
    Methods: We selected the literature in the Web of Science Core Collection database. To provide an overview, annual publications, countries/regions, and keywords were evaluated through a bibliometric analysis, and extracted and analyzed key clinical information.
    Results: A total of 579 publications were reviewed, with 177 clinical studies chosen for detailed analysis. These publications, spanning from 1997 to 2025, showed a consistent yearly increase in the number of articles, despite some fluctuations. Science and PLOS One were the most frequently cited journals in this area. Key contributors to this field include Yan Zhang, Jun Chen, Zoltan Lohinai, and Edit Dulka. China was the leading producer of publications, indicating its close monitoring of the field, though it did not emphasize international collaborations, resulting in less influential publications. Major topics in this field included lung cancer, gut microbiota, microbiome, immunotherapy, inflammation, and biomarkers. Future research will likely focus on biomarkers, machine learning, immunotherapy and mechanisms. Clinical studies have identified common microbiota, such as Prevotella, Bacteroidetes, Streptococcus, Veillonella, and Bacillus, as potential microbial biomarkers.
    Conclusion: This field has a bright research prospect, and there is a huge unmet clinical need. Future studies need to expand the sample size and further explore microbiota associated with the mechanisms, diagnosis, treatment and prognosis of lung cancer. Solving problems such as small sample size, heterogeneity of the population, sequencing bias, and precise diagnosis, conducting cross-regional and multicenter research, and identifying specific microbiota that have an important impact on cancer treatment are future challenges.
    Keywords:  bibliometric; lung cancer; microbiota
    DOI:  https://doi.org/10.2147/JMDH.S516036
  43. Electromagn Biol Med. 2025 Aug 04. 1-20
    Exploring research trends in health effects of 5G antennas: a bibliometric analysis.
    Ahmet Turgut, Begum Korunur Engiz.
      To better understand the developments and trends of studies on the health impacts of 5th Generation (5 G) antennas, a bibliometric analysis of the literature published in the Web of Science database from 2012 to 2025 was conducted. Before the analysis, the dosimetric quantities "specific absorption rate (SAR)" and "power density (Sab)" used in the examination of the health impacts of antennas were thoroughly defined, and their required limits were provided. Subsequently, information visualization technology was utilized to investigate the yearly distribution of literature, author contributions and collaboration, productive and influential institutions and countries/territories, co-citation analysis, and keyword co-occurrence. However, anticipated publication and citation numbers for the coming years (2025-2029) were predicted regarding the potential health impacts of 5 G antennas using artificial intelligence-assisted forecasting methods. There has been a considerable increase in studies related to health impacts measured by SAR and Sab dosimetric quantities over the last five years, in line with the number of articles published on 5 G antennas. Despite this, no bibliometric analysis has been done so far on the health impact of 5 G antennas below and above 6 GHz. The data presented in this bibliometric study to fill the gap on this subject will provide a better understanding of the health impacts and unique insights to offer good research guidance on 5 G antennas and their attributed adverse health impacts.
    Keywords:  5G antennas; absorbed power density (sab); bibliometric analysis; health effects; radiofrequency dosimetry; specific absorption rate (SAR)
    DOI:  https://doi.org/10.1080/15368378.2025.2539147
  44. Front Microbiol. 2025 ;16 1595946
    Global trends in Trichoderma secondary metabolites in sustainable agricultural bioprotection.
    Anthony Apolinario Cortez-Lázaro, Pedro James Vázquez-Medina, Edson Max Caro-Degollar, Jennifer Valeria García Evangelista, Ronald Alexis Cortez-Lázaro, Jorge Luis Rojas-Paz, Jose Antonio Legua-Cardenas, Fredesvindo Fernandez-Herrera, Carlos Roberto Pesantes-Rojas, Robert William Ocrospoma-Dueñas, Segundo Manuel Oliva-Cruz, Gabriel Alberto Manes-Cangana, José Luis Romero Bozzetta, Santos Triunfo Leiva Espinoza.
      The use of Trichoderma spp. constitutes a promising biotechnological strategy for sustainable agriculture, owing to its capacity to control phytopathogens and to produce bioactive secondary metabolites. This study, one of the first of its kind, addresses the absence of a comprehensive bibliometric assessment in this field. A systematic bibliometric analysis was conducted on 235 publications indexed in Scopus (2000-2025). Advanced tools such as VOSviewer and Bibliometrix were employed to track publication trends, identify key research themes, map collaborative networks, and assess the influence of leading authors and institutions. An exponential increase in scientific output was observed, peaking in 2023. Four principal research clusters were identified: antifungal activity, gene regulation, secondary metabolite production, and biosynthesis. India and China accounted for the highest publication volume, while Italy, represented by authors such as Francesco Vinale, accounted for the greatest scientific impact. International collaboration was extensive, particularly between Asia and Europe. The analysis indicates a progression from applied biocontrol studies to research focusing on molecular and genetic mechanisms, highlighting the need for multidisciplinary approaches that integrate biotechnology, agronomy, and microbial ecology. This bibliometric study provides an overview of Trichoderma secondary metabolites in agricultural biocontrol and outlines a research agenda emphasizing field validation, interdisciplinary collaboration, and the adoption of innovative technologies to bridge the gap between research and on-farm application in sustainable agriculture.
    Keywords:  Trichoderma spp.; agricultural sustainability; bibliometrics; biological control; plant health; secondary metabolites
    DOI:  https://doi.org/10.3389/fmicb.2025.1595946
  45. Front Oncol. 2025 ;15 1591059
    Global research landscape of antiangiogenic therapy for colorectal cancer: a bibliometric analysis of mechanistic insights and clinical advancements.
    Ke-Qiang Hou, Jia-Ming Wu, Jie Chen.
       Background: Colorectal cancer (CRC) is a major global health issue, with over 1.9 million diagnoses yearly and low survival rates in advanced stages. Antiangiogenic therapies (AAT) targeting VEGF and VEGFR have improved outcomes, but resistance mechanisms limit their effectiveness. This study uses bibliometric analysis to link mechanistic insights, such as VEGF splicing variants, with clinical developments, identify global collaboration trends, and propose strategies to reduce resistance and toxicity in treatments.
    Methods: This study were used to search the Web of Science databases Core Collection. Studies published in English from 1996 to 2024 were included for analysis. VOSviewer 1.6.20, CiteSpace 6.4.R1, and R 4.4.1 were employed for bibliometric analysis and visualization.
    Results: This bibliometric analysis of 976 publications from 1996 to 2024 shows a 13.65% annual growth rate in CRC antiangiogenic research. China leads with 20.5% of publications, followed by the USA at 15.7% and Japan at 13.1%. Key institutions include Assistance Publique Hôpitaux de Paris, and notable journals are BMC Cancer and Clinical Colorectal Cancer. Keyword evolution reflects a shift from angiogenesis mechanisms to clinical validation of treatments like FOLFIRI with bevacizumab, with a current focus on tumor microenvironment reprogramming and precision survival analytics (2020-2024, burst intensity 6.66). Key milestones include Phase III trials like AVF2107g and ctDNA-guided strategies, along with emerging dual-target inhibitors.
    Conclusion: This bibliometric analysis reveals a shift from VEGF studies to precision strategies targeting tumor microenvironments, influenced by trials like TRIBE and PARADIGM. Future efforts should focus on multi-omics integration and innovative delivery systems like circadian-targeted nanoparticles for personalized CRC care.
    Keywords:  CiteSpace; VOSviewer; antiangiogenesis therapy; basic mechanism; bibliometric analysis; clinical treatment; colorectal cancer
    DOI:  https://doi.org/10.3389/fonc.2025.1591059
  46. Front Med (Lausanne). 2025 ;12 1612256
    Trends and hot spots in research on the prognostic value of gastric cancer biomarkers in the context of the Lauren classification: a bibliometric analysis.
    Nurbek Kozhakhmetuly Azbergenov, Talshyn Amirkhanqyzy Nurulla, Anar Balkashevna Tulyayeva, Saule Zhumabaevna Akhmetova, Nurgul Meirimovna Kereeva, Saltanat Nurslyamovna Akanova, Dinara Almatovna Zholmukhamedova.
       Introduction: Modern research is aimed at finding reliable prognostic biomarkers. The Lauren classification remains an important tool for predicting outcomes in gastric cancer, especially when combined with certain biomarkers and tumor molecular characteristics. This study aims at quantifying the accumulated knowledge about the prognostic value of stomach cancer biomarkers in the context of the morphological Lauren's classification, as well as providing recommendations for future studies.
    Methods: A literature search was conducted in the Scopus database in December 2024. The selection included 162 publications for the period 1995-2024. The analysis was performed using the statistical software RStudio, widely used in scientific research. The specialized Biblioshiny package was utilized for data analysis and visualization.
    Results: The average annual growth rate was 3.86%, and the average number of citations per article - 30.4, which underlines the high importance of the topic of the study. The largest number of publications originated from China (292 articles). Leading research institutions include Sungkyunkwan University School of Medicine (13 documents), Fudan University (12 documents), and Yonsei University College of Medicine (11 documents). The most prolific author is Zhang J., who conducted 13 studies in this field. The journal Pathology - Research and Practice holds the leading position with 8 publications. The most frequently occurring keyword is "gastric cancer" (94 mentions). Thematic trends include research on HER2 and microsatellite instability.
    Conclusion: The bibliometric analysis revealed the active development of research on the role of biomarkers in predicting gastric cancer prognosis based on Lauren's classification. China is the leading country in this field, Sungkyunkwan University School of Medicine is the most active research institution, Zhang J. is the most influential researcher, Pathology - Research and Practice is the most productive journal. Current research focuses on HER2 and microsatellite instability.
    Keywords:  Lauren classification; Lauren’s classification; biomarker; biomarkers; gastric cancer; gastric carcinoma; prognosis
    DOI:  https://doi.org/10.3389/fmed.2025.1612256
  47. J Am Acad Orthop Surg. 2025 Aug 01.
    Academic Productivity Among Hand Surgeons: Factors That Predict Future Productivity.
    Sameer R Khawaja, Krishna N Chopra, William S Samady, Zaamin B Hussain, Michael B Gottschalk, Nina Suh, Eric R Wagner.
       INTRODUCTION: Orthopaedic and plastic surgery residency applicants with strong research backgrounds are valued for their academic productivity potential. The association between research productivity during different stages of medical training and as a practicing surgeon is not well-defined. We examined the effects of research output during medical school, residency, and fellowship on future long-term academic productivity as an attending hand surgeon.
    METHODS: The American Society for Surgery of the Hand directory was reviewed to identify actively practicing orthopaedic and plastic hand surgeons. An individual's medical school, residency, fellowship, and current practice were recorded, in addition to the year each level of training was completed. Data were collected using institutional and personal websites, US News and World Reports, Healthgrades, WebMD, Doximity, and Castle Connolly. Scopus was used to identify each surgeon's h-index, and PubMed was used to determine how many publications they had during each stage of training. A multivariate linear regression model was created with a significance of P < 0.05.
    RESULTS: A total of 230 hand surgeons-119 orthopaedic and 111 plastic-trained-were reviewed. The mean number of total publications was 23.3 ± 42.8, and the mean h-index was 8.1 ± 9.0. Newer attendings (start year 2010 to 2019) had significantly higher publication rates during medical school and residency compared with older attendings. There was a significant association between the number of publications during each stage of training and an increased attending publication rate and h-index. Plastics-trained hand surgeons had a higher number of total publications and mean h-index compared with orthopaedics-trained hand surgeons.
    DISCUSSION: Research output during medical training is predictive of academic productivity as a practicing hand surgeon. Younger or plastics-trained attendings demonstrated higher research productivity in residency compared with older or orthopaedics-trained attendings, suggesting differences in residency culture. Greater productivity during hand surgery fellowship was especially predictive of academic productivity as an attending.
    LEVEL OF EVIDENCE: N/A.
    DOI:  https://doi.org/10.5435/JAAOS-D-24-01318
  48. J Perianesth Nurs. 2025 Aug 06. pii: S1089-9472(25)00150-9. [Epub ahead of print]
    Ambient Noise in the Operating Theater: A Bibliometric Analysis of Studies Examining Its Effects on Physiological, Psychological, and Performance of Health Professionals.
    Muaz Gülşen, Askeri Çankaya, Hatice Özsoy.
       PURPOSE: To present a bibliometric analysis of scientific studies examining the effects of noise, specifically, to review publications, authors, journals, and research institutions and to outline thematic developments in this area.
    DESIGN: This retrospective and descriptive study was conducted using a bibliometric analysis approach.
    METHODS: The study population comprised 238 publications from the Web of Science Core Collection database, focusing on noise in operating room environments with keywords in titles, abstracts, or main texts. Based on inclusion and exclusion criteria, a sample of 64 publications was selected. These records were downloaded in BibTeX format as of August 21, 2024, excluding studies added to the database after this date. Data analysis was performed using R Studio software.
    FINDINGS: The earliest study on the effects of operating room noise on health care professionals was published in 1993. Of the total publications, 62.5% were published within the past 4 years. The most frequent journals were "Anaesthesia," "Surgical Endoscopy and Other Interventional Techniques," and "World Journal of Surgery." The country with the highest output was the United States. Keywords such as "noise," "operating room," "music," "communication," and "stress" were most commonly used. Additionally, interest in noise and music topics peaked in 2021.
    CONCLUSIONS: There has been a notable increase in studies on the impact of operating room noise on health care professionals, with a concentration of research in 2021. Most studies originated from developed countries like the United States, the United Kingdom, and Germany. This trend reflects a growing global awareness of the importance of occupational safety and health for health care workers.
    Keywords:  bibliometric analysis; health professionals; noise; operating theater
    DOI:  https://doi.org/10.1016/j.jopan.2025.05.003
  49. Front Neurol. 2025 ;16 1607924
    Artificial intelligence in neurodegenerative diseases research: a bibliometric analysis since 2000.
    Yabin Zhang, Lei Yu, Yuting Lv, Tiantian Yang, Qi Guo.
      This bibliometric review examines the evolving landscape of artificial intelligence (AI) in neurodegenerative diseases research from 2000 to March 16, 2025, utilizing data from 1,402 publications (1,159 articles, 243 reviews) indexed in the Web of Science Core Collection. Through advanced tools - VOSviewer, CiteSpace, and Bibliometrix R - the study maps collaboration networks, keyword trends, and knowledge trajectories. Results reveal exponential growth post-2017, driven by advancements in deep learning and multimodal data integration. The United States (25.96%) and China (24.11%) dominate publication volume, while the UK exhibits the highest collaboration centrality (0.24) and average citations per publication (31.68). Core journals like Scientific Reports and Frontiers in Aging Neuroscience published the most articles in this field. Highly cited publications and burst references highlight important milestones in the development history. High-frequency keywords include "alzheimer's disease," "parkinson's disease," "magnetic resonance imaging," "convolutional neural network," "biomarkers," "dementia," "classification," "mild cognitive impairment," "neuroimaging," and "feature extraction." Key hotspots include intelligent neuroimaging analysis, machine learning methodological iterations, molecular mechanisms and drug discovery, and clinical decision support systems for early diagnosis. Future priorities encompass advanced deep learning architectures, multi-omics integration, explainable AI systems, digital biomarker-based early detection, and transformative technologies including transformers and telemedicine. This analysis delineates AI's transformative role in optimizing diagnostics and accelerating therapeutic innovation, while advocating for enhanced interdisciplinary collaboration to bridge computational advances with clinical translation.
    Keywords:  CiteSpace; VOSviewer; artificial intelligence; bibliometric; bibliometrix R; neurodegenerative diseases
    DOI:  https://doi.org/10.3389/fneur.2025.1607924
  50. Health Sci Rep. 2025 Aug;8(8): e71067
    Utilization of Artificial Intelligence in Reducing the Incidence of Medication Error: A Bibliometric Analysis.
    Michael Joseph S Dino, Yobhel B Arellano, Abigail G Evangelista, Wins C Esteban, Carlo Manuel G Feliciano, Venchy C Quizana, Pamela S Sevilla, Rose Shaina C Trillana, Ma Kristina G Malacas, Christine Geen E Ortiz, Joseph Carlo T Vital, Francis A Vasquez, Phil Darren E Agustin.
       Background and Aims: Medication errors (MEs) represent a significant challenge in healthcare, compromising patient safety and contributing to adverse outcomes. Artificial intelligence (AI) has emerged as a promising tool to address this issue by enhancing medication management processes and decision support systems. This study aims to visualize and examine the dissemination of published work on AI-related research in reducing MEs.
    Methods: Data collected from the Scopus database was used for bibliometric analysis. One hundred eighty-four (n = 184) relevant articles were identified and analyzed using VOS Viewer software, which examined citations, keyword relations, and network analysis to identify key contributors, influential publications, and emerging themes.
    Results: The study revealed that most articles published were empirical, written by multiple authors from more developed nations, and published in medical-related journals. There has been a stable increase in publications since 1991, peaking in 2023, with several authors, organizations, and journals publishing more than others. Notable keywords such as "medication error", "artificial intelligence", and "patient safety" highlight central concepts explored in the research on AI and medication error reduction. The clustering analysis identified overarching themes, including providing insights into the right patient, right dose, right time, right assessment, right route, and right drug (6R's) to AI's potential roles in mitigating MEs.
    Conclusion: Empirical research is crucial for understanding AI utilization in reducing MEs. The medical community is increasingly interested in using AI to mitigate MEs and address critical issues related to patient safety in medication administration. The identified prominent keywords and themes illustrate AI's potential in enhancing healthcare delivery and reducing mistakes, paving the way for further exploration and practical application in clinical settings. Additional studies on AI use in reducing MEs should be conducted in less developed countries.
    Keywords:  AI systems; artificial intelligence; bibliometrics; healthcare; medication errors; network analysis; patient safety
    DOI:  https://doi.org/10.1002/hsr2.71067
  51. Clin Neurol Neurosurg. 2025 Aug 05. pii: S0303-8467(25)00371-3. [Epub ahead of print]257 109088
    Global visualization exploration of post-stroke cardiac changes: A bibliometric analysis based on CiteSpace and VOSviewer.
    Jingjie Huang, Yan Zhang, Ziyi Zhang, Qiuxuan Wang, Yupei Cheng, Bangqi Wu.
       BACKGROUND: Stroke and cardiovascular diseases are the two primary contributors to the global disease burden. Modern studies have progressively uncovered the intricate interplay between the brain and the heart, with cerebral injury influencing cardiac dysfunction, leading to a causative relationship. post-stroke cardiac changes, a common clinical disease caused by brain injury resulting in cardiac dysfunction, often presents medical challenges within the first few days after a stroke. Acute brain injuries can trigger heart failure even in the absence of primary heart disease, leading to potential long-term cardiac complications such as myocardial infarction, arrhythmias, and heart failure. These complications have become the second leading cause of death after stroke, with approximately 2-6 % of stroke patients dying from cardiac causes within the first three months after an ischemic stroke. The pathophysiology of post-stroke cardiac changes is still under investigation, and there is no standardized clinical treatment or universally accepted therapeutic approach. This paper aims to review the current global research status and trends in post-stroke cardiac changes.
    METHODS: Articles on post-stroke cardiac changes published from 1990 to 2025 were identified using the Web of Science Core Collection database. Bibliometric methods were employed to analyze authors, institutions, countries, journals, and references using CiteSpace and VOSviewer, including a total of 268 articles.
    RESULTS: The United States leads in the number of publications in this field, followed by Germany. Charité-Universitätsmedizin Berlin is a leading institution in post-stroke cardiac changes research. Luciano A. Sposato, Zhili Chen, Poornima Venkat, Jan F. Scheitz, Christian H. Nolte, and Matthias Endres have all made significant contributions to this field. The journals Stroke and Annals Of Neurology are considered the most influential in this field. Using cluster analysis, keywords were categorized into four main groups: (1) Stroke-Induced Cardiac Changes; (2) Stroke-Induced Risks and Outcomes; (3) Brain-Heart Interactions; (4) Stroke-Induced Neurogenic Cardiac Injury.
    CONCLUSIONS: This study systematically summarizes the research outcomes on post-stroke cardiac changes from 1990 to 2025, describing and predicting global research hotspots and trends. Research has found that the number of publications on this topic has been increasing significantly, and future research will constitute critical priorities in three domains: delineating brain-heart interplay mechanisms (particularly neurogenic pathways), characterizing the spectrum of stroke-induced cardiac alterations, and enhancing attention to early risk outcomes. Concurrently, efforts must prioritize refining and expanding therapeutic strategies, which holds significant promise for enhancing clinical applicability.
    Keywords:  Bibliometric analysis; Citespace; Post-stroke cardiac changes; Predictive analysis; Research hotspot; Vosviewer
    DOI:  https://doi.org/10.1016/j.clineuro.2025.109088
  52. J Clin Neurosci. 2025 Aug 01. pii: S0967-5868(25)00496-5. [Epub ahead of print]140 111523
    Spinal neurosurgery: Trends in female authorship contribution over 5-Year publication history.
    Giovanni Campanaro, Francesca Romana Centini, Cecilia Sicca, Jazmin Davico, Emanuele Musella, Kamel Chebaro, Francesca Totis, Delia Cannizzaro.
      In the last few years, more efforts have been made to increase gender equity in medical specialties. Nevertheless, spinal neurosurgery continues to be one of the most male-dominated subspecialties in neurosurgery. This bibliometric analysis sought to explore the representation of female authors in major neurosurgical publications between September 2017 and August 2022, with a focus on first and last authorship roles across journals and countries. The paper analyzed 3171 unique publications within a framework of 93 high-impact neurosurgery-related journals. Results showed that female authors were 14,25 % of first authors and 7,88 % of last authors, and that only 2,11 % of articles had both female first and last authors. Country of affiliation and the journal of publication significantly influenced the author's gender representations, with Scandinavian states and certain journals, like Neurocritical Care, showing relatively high percentages of female authorship. Even if there has been minor progress over the recent past, disparities nowadays persist, potentially limiting diversity in perspectives and advancements in this field. These disparities underline the presence and the influence of systemic and cultural factors impeding gender equity, and underscoring the critical need for proactive measures to foster it, including mentorship programs, institutional support, and policies for balanced opportunities. The COVID-19 pandemic amplified inequities in this field, disproportionately impacting female academics due to increased domestic responsibilities without the corresponding implementation of support systems. The significant role of mentorship in improving female representation was also highlighted by this analysis: our data indicated higher collaboration rates between female first and last authors in the field of spinal neurosurgery. To address these challenges, efforts must be made starting during residency, with the aim of targeting systemic barriers and cultural biases. The implementation of inclusive policies, like on-site childcare programs, and fostering international collaboration, might help to reduce these disparities and to ensure that diversity drives innovation in spinal neurosurgery. Such an approach is essential for addressing inequity, which is not merely a matter of fairness but is central to advancing the field. This would ensure that only talent and hard work are what determine success in spinal neurosurgery, which is imperative for the progress of the speciality, enabling diverse perspectives to shape the future of patient care, research, and academic leadership.
    Keywords:  Disparity; Female authors; Gender authorship; Gender equity; Spinal neurosurgery
    DOI:  https://doi.org/10.1016/j.jocn.2025.111523
  53. Front Urol. 2023 ;3 1239328
    Knowledge mapping of immunotherapy in castration-resistant prostate cancer: a bibliometric and visualized study (2003-2022).
    Xianfu Cai, Chenguang Ding, Yang Li, Jin Zheng, Wujun Xue.
       Objective: To utilize bibliometric analysis to examine the literature about immunotherapy for castration-resistant prostate cancer published within the past two decades. Through this method, we aim to visualize and analyze the research progress in this field and identify the most recent trends and developments.
    Methods: This research conducted a comprehensive literature review on immunotherapy for castration-resistant prostate cancer. The time frame spanned from January 2003 to December 2022, and the data were extracted from the Web of Science Core Collection database. The application of various software tools, such as CiteSpace, Bibliometrix, and VOSviewer, facilitated the visualization and analysis of the gathered data. These technological utilities illustrated the progression of prominent focus areas within the field.
    Results: After excluding irrelevant studies, 373 papers were selected for this study. The findings suggested that the field of immunotherapy for castration-resistant prostate cancer was rapidly developing. The USA was considered to have a significant early entrant advantage in this area and profoundly influenced the field. Similarly, China's National Cancer center demonstrated notable advantages as a recent participant in this research domain. Major research institutions contributing to the field include the University of California, San Francisco; the University of Washington; and the Memorial Sloan Kettering Cancer Research Center. Notably, US authors James L. Gulley, Charles G. Drake, and Lawrence Fong had the largest number of publications in this area. The main research trends for immunotherapy of castration-resistant prostate cancer are membrane antigen expression, checkpoints T-lymphocyte-associated protein 4 (CTLA4) blockade, radium-223, and vaccines, and the refinement of establishing organoid models might fuel castration-resistant prostate cancer immunotherapy research in the ongoing development.
    Conclusion: The key trends in immunotherapy research for castration-resistant prostate cancer are membrane antigen expression, CTLA4 blockade, radium-223, and vaccines. Exploring new immune pathways and combining different therapeutic approaches to enhance immune response will be a major trend in the field in the future.
    Keywords:  CiteSpace; VOSviewer; bibliometrics; castration-resistant prostate cancer; immunotherapy; visualization analysis
    DOI:  https://doi.org/10.3389/fruro.2023.1239328
  54. Ulus Travma Acil Cerrahi Derg. 2025 Aug;31(8): 766-775
    Scientific response to the 2023 Kahramanmaraş earthquake: A bibliometric study.
    Muhammed Salih Süer, Ender Ergüder, Serkan Demir, Şener Balas.
       BACKGROUND: On February 6, 2023, Türkiye experienced two devastating earthquakes with epicenters in Pazarcık and Elbistan, measuring 7.7 and 7.6 on the Richter scale. These earthquakes resulted in over 50,000 deaths and widespread destruction of infrastructure. The disaster triggered a large-scale humanitarian crisis, presenting significant medical and psychological challenges. Understanding the scientific response to such events is crucial for enhancing future disaster preparedness and management.
    METHODS: A systematic search was conducted in the Web of Science database using the terms "Kahramanmaraş earthquake," "Pazarcık earthquake," "Elbistan earthquake," and "Türkiye earthquake 2023." The search covered literature published from February 6, 2023 onward, and focused on medical publications. A total of 371 articles were initially identified; after excluding geological, engineering, and social science studies, 350 articles were included. Bibliometric analysis was performed using the Bibliometrix package in R Studio and visualized with Biblioshiny. Key indicators analyzed included publication volume, citation count, author collaboration, and thematic clustering.
    RESULTS: The analysis identified 350 articles published in 173 journals, with contributions from 1,739 authors. The average number of co-authors per document was 6.03, indicating a high level of collaboration. However, only 5.429% of the studies involved international authors. The annual growth rate of publications was -11.11%, suggesting a projected decline in research activity. The most cited article was Emergency Medicine Association of Turkey Disaster Committee Summary of Field Observations of February 6th Kahramanmaraş Earthquakes, which emphasized the challenges faced in emergency response. Psychological studies were more numerous; however, publications related to emergency response and trauma care received higher citation counts. Keyword analysis revealed a focus on trauma care, post-traumatic stress disorder (PTSD), surgical management, and public health. Notable clinical advancements included the SAFE-QUAKE (Seismic Activity Forecasting and Evaluation-QUAKE) scoring system for predicting dialysis needs and the Mangled Extremity Severity Score (MESS) for amputation triage.
    CONCLUSION: The research response to the Kahramanmaraş earthquakes followed a clear progression: an early focus on emergency response and public health, followed by injury and surgical management, and a later emphasis on psychological recovery. Despite a strong domestic research effort, low international collaboration hindered broader knowledge exchange. Sustained funding, enhanced global partnerships, and integrated mental health and trauma care strategies are essential for improving future disaster preparedness and healthcare system resilience.
    DOI:  https://doi.org/10.14744/tjtes.2025.30820
  55. Commun Psychol. 2025 Aug 05. 3(1): 118
    Scientific publications that use promotional language in the abstract receive more citations and public attention.
    Olga Stavrova, Bennett Kleinberg, Anthony M Evans, Milena Ivanović.
      Researchers often use promotional language ("hyping") in scientific publications to draw attention to their findings. Here we examined whether promotional language is indeed associated with higher academic impact and public attention. A content analysis of over 130,000 abstracts published in three major interdisciplinary outlets (PNAS: 84,603; Science: 25,142; Nature: 26,870) between 1991 and 2023 showed that promotional language predicted more citations and more full-length paper views, more paper mentions in online media and higher Altmetric scores. Further, additional analyses by first and last author gender (first female author n = 15,368, first male author n = 32,873, last female author n = 10,218, last male author n = 46,606) showed that despite women being often advised to engage in more self-promotion, following this advice was not significantly associated with a smaller gender gap in impact indicators. If anything, promotional language predicted a larger gender gap with men (vs. women) receiving even more citations, paper views and mentions in the media. Our findings highlight the role of communication strategies in academic impact and public attention, as well as gender diversity in academia.
    DOI:  https://doi.org/10.1038/s44271-025-00293-8
  56. Bioresour Technol. 2025 Aug 04. pii: S0960-8524(25)01055-7. [Epub ahead of print] 133088
    Advances in catalysis for biodiesel production: Integrating AI-driven optimization and bibliometric insights into renewable energy technologies.
    Nur Fatin Sulaiman, Saraswathy Shamini Gunasekaran, Halimah Badioze Zaman, Siti Nur Ashakirin Mohd Nashruddin, Siti Nur Aida Mohd Nashruddin, A G N Sofiah, Mohamad Helmi Abd Mubin, Siew Ling Lee.
      The global pursuit of sustainable and low-emission energy solutions has made biodiesel as a main focus in renewable energy research. This review explores recent advancements in catalysis for biodiesel production, focusing on the integration of artificial intelligence (AI) techniques and bibliometric analysis. This review outlines the fundamental catalytic systems used in transesterification, emphasizing the functions of homogeneous and heterogeneous catalysts, particularly metal oxide catalysts, and elucidating catalytic reaction mechanisms. This review examines emerging strategies for catalyst design, focusing on nanomaterials, biomass-derived catalysts, and green synthesis methods, as well as their application in the valorization of waste oils within a circular economy framework. Additionally, advances in AI and machine learning are discussed as transformative tools for optimizing reaction parameters, predicting catalyst performance, and enabling intelligent process control. Case studies demonstrate the advantages of AI in process scale-up, catalyst reusability, and real-time decision-making. This study presents a bibliometric analysis from 2005 to May 2025, focusing on publication trends, leading journals, authors, affiliations, and global research contributions. Keyword co-occurrence and thematic mapping further reveal the evolution of research priorities and interdisciplinary connections. Despite significant advancements, challenges remain, especially regarding catalyst deactivation, integration with smart energy systems, and improving the predictive reliability of AI models. This review concludes by proposing future research directions focused on data-driven catalyst design, AI-integrated process monitoring, and sustainability innovation. By integrating bibliometric analysis with critical assessment, this review serves as a strategic resource for researchers seeking to enhance biodiesel technology by integrating catalysis with AI and renewable energy systems.
    Keywords:  Artificial intelligence (AI); Bibliometric analysis; Biodiesel production; Catalyst optimization; Renewable energy
    DOI:  https://doi.org/10.1016/j.biortech.2025.133088
  57. Cureus. 2025 Jul;17(7): e87326
    Publications From Saudi Arabia in Orthopedic Surgery in the Recent Six Years: A Systematic Review.
    Mashael M Muwanis, Danah O Sandaqji, Atheer M Aljohani, Khalid M Alkhalifah, Afnan M Akhwan, Hind N Alsubaiyi, Ghaidaa A Almuhammadi.
      To evaluate the trends, quality, and scope of orthopedic research output from Saudi Arabia between 2017 and 2022, providing insights for future research planning and development. A systematic search was conducted on the PubMed database to identify English-language orthopedic publications published from Saudi Arabia between January 2017 and December 2022. Articles were screened in stages and categorized based on subspecialty, study design, geographical origin, and citation metrics. Data analysis was performed using Stata 15 (Stata Corp LLC, Texas, USA). A total of 348 articles met the inclusion criteria. The annual publication rate increased significantly over the six years, peaking in 2022. The most frequently studied subspecialty was spine surgery, accounting for 75 articles (21.5%), followed by arthroplasty with 69 articles (19.8%). Case reports with 98 articles (28.1%) and cross-sectional studies with 90 articles (25.8%) were the most common study designs. Geographically, the central region produced the majority of publications, with 208 articles (59.7%). Citation analysis revealed the highest impact in spine surgery (H-index = 12), followed by sports medicine (H-index = 10) and pediatric orthopedics (H-index = 9). Orthopedic research in Saudi Arabia has shown steady growth, with particular strengths in spine and sports research. However, there is a need for broader subspecialty representation, enhanced research quality, and greater geographic diversity. Strategic investments in research infrastructure, mentorship, and high-impact studies are essential to elevate the visibility and clinical relevance of Saudi orthopedic research.
    Keywords:  orthopaedic; orthopaedic surgeons; publications; research; saudi arabia
    DOI:  https://doi.org/10.7759/cureus.87326
  58. Front Immunol. 2025 ;16 1619291
    Worldwide hotspots and trends in stem cell therapy for kidney disease in the last decade: a bibliometric and visualization analysis from 2015 to 2024.
    Shengchun Liao, Xinyue Zhang, Yiting Zhou, Lingchen Wang, Chi Chen, Chaoyang Ye, Yuan Zhou, Chen Wang.
       Background: Kidney disease represents a significant global health concern. Stem cell therapy has gained attention as a potential solution for chronic kidney disease, acute kidney injury, and end-stage renal disease. This study aims to provide a comprehensive overview of the status of stem cell therapy for kidney disease through a systematic review of the literature.
    Methods: The literature included in this study was exclusively sourced from the Web of Science Core Collection. CiteSpace, VOSviewer, R-Bibliometrix, and the Literature Data Governance and Analysis System to evaluate factors such as publication quantity, author contributions, institutional involvement, geographic distribution, and keyword usage.
    Results: This study on stem cell therapy for kidney disease included 1,874 articles. A significant number of publications came from China and the United States. The Mayo Clinic had the highest publication output, while Stem Cell Research & Therapy was the leading journal in terms of publication volume. Additionally, Lerman LO was the most prolific author in this field. Currently, there is a growing focus on mesenchymal stem cells and acute kidney injury models in this field. Future research is likely to explore topics such as extracellular vesicle-based therapies, various stem cell types, diabetic nephropathy, and membranous nephropathy.
    Conclusion: This study applied bibliometric methods to assess the application and development of stem cell therapy for kidney disease over the past decade. It identified key research areas and forecasted future trends. The findings offer valuable insights for guiding future investigations into stem cell therapy for kidney disease.
    Keywords:  bibliometric; kidney disease; kidney injury; nephropathy; stem cell therapy
    DOI:  https://doi.org/10.3389/fimmu.2025.1619291
  59. Int J Surg. 2025 Aug 07.
    Letter to editor about "Peripheral nerve blocks for hip fracture surgeries: a bibliometric and visual analysis".
    Mingxing Zhang, Zujian Xu.
      
    DOI:  https://doi.org/10.1097/JS9.0000000000003125
  60. Int J Health Policy Manag. 2025 ;pii: 8809. [Epub ahead of print]14 8809
    Scholarly Publications and Opinions Through 366-Day War on Gaza (2023-2024): A Scoping Review and Bibliometric Analysis.
    Emna Ennouri, Mohamed Boussarsar, Chourouk Ben Mahfoudh, Khamis Elessi, Helmi Ben Saad.
       BACKGROUND: The 2023-2024 Gaza Genocide has generated notable scholarly discourse, influenced by various historical, political, and social contexts. These academic writings, rooted in the longstanding "war of words," illustrate how language serves as a potent weapon in conflicts. The present study aimed to analyze the academic response to the 2023-2024 War on Gaza, focusing on the different perspectives, opinions, and lexical choices in scholarly articles.
    METHODS: A scoping review and bibliometric analysis were conducted on articles from PubMed, pertaining to the 2023-2024 War on Gaza, spanning from October 7, 2023, to October 7, 2024. PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines were used. Individual relevant papers' data were systematically extracted using a pre-tested form. Articles were categorized based on their stances as pro-Gaza, pro-Israel, or Neutral. Statistical analyses compared the bibliometric data of pro-Gaza and pro-Israel papers, identifying significant associated lexical fields. Factors explaining the different stances were uncovered.
    RESULTS: Out of 640 articles identified, 221 were included in the review. Among these, 126 (57%), pro-Gaza, 70 (31.7%), pro-Israel, and 25 (11.3%), Neutral. Pro-Gaza papers, often published in high-ranked journals with global affiliations, focused on humanitarian issues, called for a ceasefire and decried the genocide. Conversely, pro-Israel papers, often from local journals and affiliated with Israeli institutions, focused on political and psychosocial aspects, emphasizing self-defense narratives. Terms independently associated with pro-Gaza positions included "Gaza" in the title, "occupation," "genocide," "punishment," and "ceasefire." Pro-Israel papers featured "Israel" in the title, references to "October 7," and mentions of "Hamas."
    CONCLUSION: This study highlights that academic narratives are profoundly influenced by historical contexts, media portrayal, official discourses, and the authors' socio-political environments. These findings underscore the intricate connection between scholarly discourse and the broader context of chronic occupation, revealing significant limitations in current global health strategies and highlighting the need to integrate humanitarian crises into these frameworks.
    Keywords:  Decolonizing; Gaza Strip (Palestine); Genocide; Israel; Lexical Fields; Scholarly Publishing
    DOI:  https://doi.org/10.34172/ijhpm.8809
  61. Psychon Bull Rev. 2025 Aug 04.
    Does your surname undermine your research impact?
    Yuejun Lawrance Cai, Kin Fai Ellick Wong, Jessica Y Y Kwong.
      Citation frequency is widely recognized as a crucial metric for assessing academic impact. Previous studies analyzing data from citation databases have observed a surname order bias-a phenomenon where the alphabetical ordering of researchers' surnames negatively impacts their citation counts. However, the underlying mechanisms driving this bias, the causality behind it, and its implications for in-text citation practices remain poorly understood. Therefore, the present research aims to address these gaps through two preregistered studies. Study 1 replicates and extends the work of Stevens and Duque (Psychonomic Bulletin & Review, 26, 1020-1026, 2019), using a larger sample of 446,755 articles and controlling for surname initial frequency and publication year. Study 2 is an experiment with 307 valid responses from academics holding doctoral degrees, manipulating both citation systems and surname alphabetical order. Consistent and robust findings emerged across both studies: articles authored by individuals with surnames appearing earlier in the alphabet were more likely to be cited. This effect was especially pronounced in the context of alphabetical citation systems, compared with numerical citation systems. The current research provides a testable, reliable explanation for the surname order bias and establishes a causal link between surname alphabetical order and citation frequency. Implications for theory and academic practice are discussed.
    Keywords:  Alphabetical order; Citation frequency; Primary effect; Research evaluation
    DOI:  https://doi.org/10.3758/s13423-025-02727-0
  62. R Soc Open Sci. 2025 Aug;12(8): 241536
    Gender differences in collaboration and career progression in physics.
    Mingrong She, Jan Bachmann, Fariba Karimi, Leto Peel.
      We examine gender differences in collaboration networks and academic career progression in physics. We use the likelihood and time to become a principal investigator (PI) and the length of an author's career to measure career progression. Utilizing logistic regression and accelerated failure time models, we examine whether the effect of collaboration behaviour varies by gender. We find that, controlling for the number of publications, the relationship between collaborative behaviour and career progression is almost the same for men and women. Specifically, we find that those who eventually reach PI status tend to have published with more unique collaborators. In contrast, publishing repeatedly with the same highly interconnected collaborators and/or larger number of co-authors per publication is characteristic of shorter career lengths and not attaining PI status. We observe that women tend to collaborate in more tightly connected and larger groups than men. Finally, we observe that women are less likely to attain the status of PI throughout their careers and have a lower survival probability compared to men, which calls for policies to close this crucial gap.
    Keywords:  career progression; collaboration behaviour; ego networks; gender differences; physics
    DOI:  https://doi.org/10.1098/rsos.241536
  63. Ann Surg. 2025 Aug 04.
    Where You Train Matters: Surgeon-Scientists Disproportionately Trained at Highly Funded Institutions.
    Mackenzie M Mayhew, Nidhi Kuchimanchi, Justin Lee, Elizabeth J Olecki, Jacob Sellers, Craig L Slingluff, Allan Tsung, Russell G Witt.
       OBJECTIVE: To assess the distribution of National Institutes of Health (NIH)-funded surgeon-scientists by residency training institution and to examine whether training at institutions with higher NIH funding is associated with greater individual NIH funding.
    SUMMARY BACKGROUND DATA: Surgeon-scientists face challenges securing NIH funding, with surgical research funding lagging behind other fields. Training in resource-rich environments may enhance research engagement and funding success.
    METHODS: Blue Ridge Institute for Medical Research (BRIMR) rankings were used to identify NIH-funded principal investigators (NIH-PIs) among surgeons in Departments of Surgery from 2013-2023. Residency program NIH-funding quartiles, and top-ten programs, were determined by averaging institutional funding from BRIMR spreadsheets. Chi-square or Fisher's exact tests, nonparametric tests, Z-tests, and linear regression were performed.
    RESULTS: Among 559 NIH-funded surgeon-scientists, 394 (70.5%) trained at first-quartile institutions, representing 75-82% of NIH-PIs annually and receiving 79-85% of total funding each year. Total annual funding was significantly higher among first-quartile trained NIH-PIs ($117.9 vs. $24.8 million; P <0.0001), though median funding per NIH-PI did not differ ($354,544 vs. $328,179; P =0.358). In subgroup analysis, top-ten trained NIH-PIs had higher median funding per PI ($379,407 vs. $322,666; P =0.013) and experienced faster annual growth in funding per PI ($61,920/year vs. $38,666/year, P =0.009) even when adjusted for current affiliated institution funding quartile. Additionally, top-ten trained PIs exhibited greater scientific influence measured by the NIH iCite tool's weighted relative citation ratio (119 vs. 100; P =0.034).
    CONCLUSION: Surgeon-scientists who trained at first-quartile institutions represent the majority of NIH-funded investigators, highlighting the potential influence of training in well-funded environments.
    Keywords:  NIH funding; blue ridge institute for medical research; residency training; surgeon-scientists
    DOI:  https://doi.org/10.1097/SLA.0000000000006880
  64. Stud Health Technol Inform. 2025 Aug 07. 329 1024-1028
    Research Trends and Focus of Trust in Healthcare-Based AI: A Co-Occurrence Analysis and Modified Scoping Review.
    Jan-Oliver Kutza, Niels Hannemann, Ursula Hübner, Birgit Babitsch.
       BACKGROUND: As the potential of artificial intelligence (AI) in healthcare (HC) grows, so too does the number of potential risks, which has contributed to the development of regulations at national and international level that specifically address trust in and trustworthiness of AI.
    OBJECTIVE: Our research aims were 1) to assess the extent to which trust and trustworthiness are considered in the field of AI research in healthcare and 2) to show how the different scientific disciplines discuss both concepts.
    METHODS: We used a mixed-methods approach including a co-occurence analysis (19,940 publications) and a modified scoping review based on this, which included 30 publications.
    RESULTS: As shown in the co-occurrence network, trust and trustworthiness play a subordinate role in AI health-related research. 72 factors were identified that may have an influence on trust or trustworthiness. However, there is a lack of overlap in these factors across different disciplines, which is related to the heterogeneity of definitions and empirical approaches.
    CONCLUSION: The amount of research carried out to date regarding trust in and trustworthiness of AI systems in the HC sector appears to be significantly low and interdisciplinary approaches seem to be almost non-existent.
    Keywords:  artificial intelligence; bibliometric analysis; co-occurrence network; healthcare; interdisciplinary approach; trust; trustworthiness
    DOI:  https://doi.org/10.3233/SHTI250994
  65. Psych J. 2025 Aug 05.
    Artificial Intelligence Reshapes Creativity: A Multidimensional Evaluation.
    Chenchen Zhang, Yong Shao, Yuan Yuan, Wangbing Shen.
      Artificial intelligence (AI) is reshaping creativity by challenging its long-held status as a uniquely human faculty. This study uses bibliometric analysis to reveal AI's evolution from a passive instrument to an active co-creator that amplifies human intuition and expands creative possibilities. We highlight how AI-driven evaluative frameworks offer more objective, scalable, and inclusive assessments of creativity, disrupting bias-prone traditional methods. Also, this transformation raises pressing ethical and legal concerns, particularly regarding authorship, intellectual property, and recognition of machine-generated outputs. By mapping these tensions and opportunities, the study provides a critical foundation for rethinking creativity in the age of human-machine collaboration. Our findings point toward an urgent need for new conceptual models that align innovation with ethical and societal responsibility.
    Keywords:  artificial intelligence; creativity; evaluation; human–machine collaboration
    DOI:  https://doi.org/10.1002/pchj.70042
  66. Digit Health. 2025 Jan-Dec;11:11 20552076251360901
    Unveiling 30 years of research on speech biomarker of dementia using text mining.
    Chorong Oh, Min Sook Park.
       Introduction: As the incidence and prevalence of dementia continue to rise, there is a critical need for more cost- and time-efficient diagnostic tools. Analysis of speech prosody has emerged as a promising noninvasive biomarker, potentially offering a more accessible approach to dementia identification. However, the absence of a longitudinal analysis of thematic evolution within the extensive literature in this domain has resulted in a notable knowledge gap.
    Methods: We conducted a text mining analysis of publications from the past 30 years to identify key research trends, thematic patterns, and associated topics.
    Results: Our analysis yielded three major findings: a marked acceleration in research activity since 2020, a convergence of clinical needs with technological advancements, and the inherently interdisciplinary nature of this field.
    Discussion: These findings not only underscore the dynamic evolution of dementia research but also highlight the potential of speech prosody analysis as a viable, noninvasive diagnostic tool. Future research integrating multidisciplinary approaches and evaluating diagnostic values of speech prosody is warranted.
    Keywords:  dementia; diagnosis; digital biomarker; speech biomarker; text mining
    DOI:  https://doi.org/10.1177/20552076251360901
  67. Front Public Health. 2025 ;13 1613946
    Machine learning for diabetic foot care: accuracy trends and emerging directions in healthcare AI.
    Pei-Chun Lin, Tsai-Chung Li, Tzu-Hsuan Huang, Ying-Lin Hsu, Wen-Chao Ho, Jia-Lang Xu, Ching-Liang Hsieh, Zih-En Jhang.
       Background: Diabetic foot is a common and debilitating complication of diabetes that significantly impacts patients' quality of life and frequently leads to amputation. In parallel, artificial intelligence (AI), particularly machine learning (ML), has emerged as a powerful tool in healthcare, offering novel solutions for disease prediction, monitoring, and management. Despite growing interest, a systematic overview of machine learning applications in diabetic foot research is still lacking.
    Objective: This study aims to systematically analyze recent literature to identify key trends, focus areas, and methodological approaches in the application of machine learning to diabetic foot research.
    Data sources: A comprehensive literature search was conducted across three major databases: Web of Science (WoS), IEEE Xplore, and PubMed. The search targeted peer-reviewed journal articles published between 2020 and 2024 that focused on the intersection of machine learning and diabetic foot management.
    Eligibility criteria and study selection: Articles were included if they were indexed in the Science Citation Index (SCI) or Social Sciences Citation Index (SSCI), published in English. They explored the use of machine learning in diabetic foot-related applications. After removing duplicates and irrelevant entries, 25 original research articles were included for review.
    Results: There has been a steady increase in publications related to machine learning in diabetic foot research over the past 5 years. Among the 25 studies included, image analysis was the most prevalent theme (12 articles), dominated by thermal imaging applications (10 articles). General clinical imaging was less common (2 articles). Seven studies focused on structured clinical data analysis, while six explored IoT-based approaches such as smart insoles with integrated sensors for real-time foot monitoring. Citation analysis showed that Computers in Biology and Medicine and Sensors had the highest average citation rates among journals publishing multiple relevant studies.
    Conclusion: The integration of machine learning into diabetic foot research is rapidly evolving; it is characterized by growing diversity in data modalities and analytical techniques. Thermal imaging remains a key area of interest, while IoT innovations show promise for clinical translation. Future studies should aim to incorporate deep learning, genomic data, and large language models to further enhance the scope and clinical utility of diabetic foot research.
    Keywords:  artificial intelligence in healthcare; clinical data analysis; diabetic foot; internet of things; machine learning; thermal imaging
    DOI:  https://doi.org/10.3389/fpubh.2025.1613946
  68. Am Surg. 2025 Aug 05. 31348251367049
    Diversity and Expertise Among Authors of U.S. Surgical Society Clinical Guidelines.
    Alexander Berg, Kaustav Chattopadhyay, Youvin Chung, Kayen Tang, Nam Yong Cho, Lakshika Tennakoon, David A Spain, Jeff Choi.
      BackgroundClinical practice guidelines (CPGs) shape surgical care and outcomes, but concerns persist regarding the diversity and expertise of their authors. Whether U.S. surgical society guidelines reflect inclusive and expert-driven authorship remains unknown.MethodsWe conducted a cross-sectional analysis of 213 CPGs published by 11 national U.S. surgical societies between 2015 and 2024. We assessed author gender, race/ethnicity, and prior publication history using validated name-based algorithms and PubMed queries. Authors were classified as underrepresented in medicine (URiM) if identified as Black and Hispanic/Latino. Trends over time were analyzed using the Jonckheere-Terpstra test.ResultsAmong 2185 authors, 557 (25.5%) were women and 111 (5.1%) were URiM. Over half of guidelines (52.1%) had no URiM authors, and 21.6% had no female authors. Female representation increased over time (P = 0.02), while URiM representation remained unchanged (P = 0.32). Representation varied widely across societies. Among first and corresponding authors, 45% had fewer than 5 topic-specific publications. Additionally, 486 (14.7%) of all authors had no prior guideline authorship experience.DiscussionCPGs published by U.S. surgical societies from 2015 to 2024 demonstrated persistent gaps in gender and racial/ethnic diversity, as well as inconsistent subject-matter expertise among authors. These findings raise concerns about the representativeness and rigor of current guideline development practices. Surgical societies should consider reforms to authorship selection processes to promote more inclusive and expert-driven guidance reflective of the populations they serve.
    Keywords:  general surgery; other
    DOI:  https://doi.org/10.1177/00031348251367049
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