bims-evares Biomed News
on Evaluation of research
Issue of 2025–09–21
sixty-four papers selected by
Thomas Krichel, Open Library Society
  1. Bibliometric analysis of radiology residency theses in Türkiye: publication metrics and trends.
  2. Research Trends on Diabetic Foot in Latin America: A Bibliometric Analysis (2000-2025).
  3. Popular orthodontic research on Twitter/X: are scholars and the public in sync?
  4. A bibliometric study of the top 100 most-cited papers in ureteral stricture reconstruction.
  5. Research trends and hotspots of infertility and phthalate esters: a bibliometric and visualization analysis from 2001 to 2024.
  6. Visualizing research trends and collaboration networks in surgery: a case study of bilateral axillo-breast approach surgery [2007-2024].
  7. Within the Numbers: Rethinking Bibliometric Evaluation in Academic Medicine.
  8. Two Decades of Research in Gastric Cancer Care: A Bibliometric and Visualized Analysis.
  9. The most influential research in laser therapy for acne and acne scars: A bibliometric analysis.
  10. Hip Arthroscopy and Femoroacetabular Impingement Publications have Greatly Increased from 2004 to 2023: Bibliometric Analysis.
  11. Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005-2024).
  12. Measuring reach in oral and maxillofacial surgery: Proposal of a new bibliometric index incorporating reads.
  13. Saudi Arabia's contribution to systematic reviews in dentistry: A bibliometric analysis.
  14. Mapping the landscape of uro-oncology research: A scientometric analysis of systematic reviews and meta-analyses (2020-2025).
  15. Bibliometric and Visualized Analysis of Research Relating to Spinal Modic Changes Reported Over the Period 2004-2024.
  16. A comprehensive bibliometric exploration of hydrogel applications in spinal cord injury.
  17. Global research trends in radiotherapy for bone metastases: a systematic bibliometric analysis.
  18. A Bibliometric Analysis of Research on Appearance Anxiety.
  19. [Bibliometric and Visual Analysis of Forensic Research on Body Fluid Identification].
  20. The top 100 most-cited articles on large language models in medicine: A bibliometric analysis.
  21. Research trends of global artificial intelligence application in obstetrics and gynecology from 1999 to 2025: a bibliometric analysis based on web of science.
  22. Artificial intelligence in nursing practice and education: A 10-year bibliometric analysis of trends, gaps and emerging frontiers.
  23. Frontiers and Emerging Trends in Edaravone Research: A Bibliometric Analysis of Molecular Basis and Clinical Studies Using CiteSpace and VOSviewer.
  24. Research trend on quantum dots for tumor diagnosis and therapy: a bibliometric analysis.
  25. A bibliometric analysis of global research trends in autophagy and glioblastomas.
  26. Bibliometric analysis of the no-reflow in ST-segment elevation myocardial infarction patients post-percutaneous coronary intervention: unveiling research trends, collaborative networks, and therapies.
  27. Trends and hotspots in research related to tumor immune escape: bibliometric analysis and future perspectives.
  28. Bibliometric Analysis of Intelligent Ultrasound Imaging in the Diagnosis of Thyroid Nodules.
  29. Neuroimaging in traumatic brain injury: a bibliometric analysis.
  30. Knowledge mapping analysis of sedentary behavior and mental health research: A bibliometric analysis from 2004 to 2024.
  31. Knowledge domains and emerging trends in aldosterone and kidney disease prognosis: a bibliometric analysis.
  32. Global Trends and Emerging Themes in Tele-Ophthalmology Research: A Bibliometric Analysis (1993 to 2024).
  33. Artificial intelligence in head and neck cancer: a bibliometric analysis of research landscape, emerging trends, and challenges.
  34. Deep learning applied in epilepsy: Bibliometric and visual analysis.
  35. Bibliometric analysis of global research dynamics in robot-assisted hysterectomy over the past 20 years.
  36. Correction: Research trends and hot spots in the prevention and management of radiation dermatitis: a bibliometric analysis based on CiteSpace.
  37. Bibliometric analysis of immunotherapy for esophageal cancer: 2004-2024.
  38. Frontier and hotspots in the role of sentinel lymph node in endometrial cancer based on bibliometric analysis.
  39. A bibliometric analysis on KRAS, a targeted marker for blockbuster clinical drugs.
  40. The bibliometric and visualized analysis on cancer stem cells in the early 21st century.
  41. Research trends and hotspots in the tumor microenvironment of ovarian cancer: a bibliometrics and visualization study from 2005 to 2024.
  42. Exploring biological research hotspots through a novel bibliometric approach.
  43. A Bibliometric Analysis of Immunological Research in Primary Biliary Cholangitis: Global Patterns and Emerging Directions.
  44. Global Research Trends and Disparities in Cesarean Section-Related Placenta Accreta Spectrum Disorders: A 93-Year Bibliometric Analysis.
  45. From Thesis to Publication: Publication Rates and Determinants of Otorhinolaryngology Residency Theses in Türkiye (2016-2020).
  46. [Artificial intelligence in epidemiology: a decade-long bibliometric analysis].
  47. The state of global palliative care research: a bibliometric study.
  48. The Society of Thoracic Surgeons "Looking to the Future" Program: Impact on Resident Academic Productivity and Society Membership.
  49. Radiomics and ischemic stroke research: bibliometric insights and visual trends (2004-2024).
  50. Pesticides and non-essential metals in Amazonian aquatic organisms: A Scientometric Overview.
  51. Analysis of the profile of metric-based reviews published in dentistry and proposal for a standardized guideline: metrics.
  52. Mechanisms of T cell-mediated immune evasion in cervical cancer: a comprehensive bibliometric analysis and future research directions.
  53. Work-life balance in higher education: A review based on bibliographic coupling analysis.
  54. The convergence of immunotherapy and surgery: a comprehensive bibliographic analysis leveraging large language models.
  55. SPAR-4 and sustainable operations: A meta-analytic breakthrough.
  56. PubMed-Indexed Productivity of Matched Orthopedic Surgery Applicants Before and After Step 1 Scoring Transition.
  57. The global status and trends of local ablation for lung malignancies: a bibliometric and visualization analysis.
  58. One welfare: bibliometric review of world literature.
  59. Bibliometric insights into breast cancer organoid chips: trends and emerging areas - a commentary.
  60. Manufacturing Technology and Effectiveness of Corona Vaccines: A Bibliometric Review.
  61. Evaluating the Clarity of Retractions and the Spread of Misinformation in Otolaryngology.
  62. The Clinical Relevance of FTO as a Demethylase Beyond Cancer: Molecular Mechanisms and Therapeutic Opportunities.
  63. Letter to The Rise of Intelligent Plastic Surgery: A 10-Year Bibliometric Journey Through AI Applications, Challenges, and Transformative Potential.
  64. Increasing Female Representation Among Presenters at the Arthroscopy Association of North America Annual Meetings From 2015 to 2023.
  1. Diagn Interv Radiol. 2025 Sep 15.
    Bibliometric analysis of radiology residency theses in Türkiye: publication metrics and trends.
    Ali Salbas, Ali Murat Koc.
       PURPOSE: This study aimed to conduct the first comprehensive bibliometric analysis of radiology residency theses in Türkiye, evaluating publication rates, indexing characteristics, citation performance, and key factors associated with successful thesis-to-publication conversion.
    METHODS: This retrospective study included 3,136 radiology residency theses completed between 1971 and December 2024, retrieved from the National Thesis Center. Data were collected on the thesis topic, advisor title, institution type, and study design. Publication status was assessed through searches using author and advisor names and keywords across Google, Google Scholar, PubMed, Web of Science, TR Index, and DergiPark. For published articles, the journal name, indexing category, impact factor quartile, citation count, and time to publication were recorded. Statistical analyses included descriptive statistics, the chi-squared, Mann-Whitney U, and Kruskal-Wallis tests, and regression models (a P value of <0.05 was considered significant).
    RESULTS: Most theses were from university hospitals (83.1%) and supervised by professors (45.8%). A total of 1,165 theses (37.1%) were published as journal articles, of which 651 (20.8% of all theses) appeared in Science Citation Index Expanded (SCIE)-indexed journals. Among the SCIE publications, 39.2% were in Q3 or Q4 journals. The most frequent thesis topics were neuroradiology (16.0%) and abdominal radiology (13.3%), whereas imaging physics and radiation safety was least represented (1.6%). Publication rates significantly increased over time (P = 0.045), and time to publication decreased (P < 0.001), with a median of 1,300 days. Theses supervised by assistant professors had the highest publication rate (43.0%, P = 0.013). University-based theses received more citations than those from training and research hospitals (P < 0.001). Residency students were first authors in 76.4% of publications. Articles with the advisor or another researcher as the first author were more frequently published in SCIE journals (P < 0.001), received more citations (P < 0.001), and had shorter time to publication (P < 0.001).
    CONCLUSION: Approximately one-third of radiology theses in Türkiye are published, with a notable share in SCIE-indexed journals. Thesis publication performance has improved significantly over time.
    CLINICAL SIGNIFICANCE: This study highlights the publication potential of radiology residency theses and reveals key factors associated with research visibility. Recognizing these trends may help guide institutional policies, promote academic mentorship, and encourage residents to pursue higher-impact publications. Residency theses should be regarded as integral components of scholarly activity, rather than solely as graduation requirements.
    Keywords:  Bibliometrics; journal impact factor; radiology; residency training; thesis publication
    DOI:  https://doi.org/10.4274/dir.2025.253525
  2. Int J Low Extrem Wounds. 2025 Sep 18. 15347346251380036
    Research Trends on Diabetic Foot in Latin America: A Bibliometric Analysis (2000-2025).
    Ariana Marie Martin, Alfredo Verastegui, Oscar A De la Torre, Cristo G Sanchez, Mario Alejandro Fabiani, Mauricio Gonzalez-Urquijo.
      AimsDiabetes-related foot disease (DFD) is a prevalent and costly complication of diabetes in Latin America (LATAM). Our bibliometric study aims to identify emerging research output from LATAM countries, knowledge gaps, and future opportunities in research.MethodsA bibliometric analysis between 2000 and 2025 was done using PubMed and Scopus databases. English-language articles with corresponding authors affiliated with LATAM institutions were included. A total of 1423 records were screened, with 435 meeting inclusion criteria. Data on authorship, country, study type, citations, journal impact, and collaboration type were extracted and analyzed.ResultsOverall, Brazil contributed to 51.5% publications, followed by Mexico (18.6%) and Cuba (7.8%). Citation analysis revealed a total of 9397 citations, with a median of seven citations per publication. Venezuela and Barbados had the highest median citations per article, despite low output. Collaboration analyses showed that only 1.6% involved intra-LATAM collaborations. International collaborations outside the region were associated with higher median citations. Observational studies (n = 198) were most prevalent, with experimental, trial, and review studies showing significant growth over time.ConclusionDespite the recent growth of DFD research in Latin America, structural barriers such as research equity, international visibility, and regional collaboration persist. Addressing these by strengthening intra-regional collaboration, improving funding equity, and investing in research infrastructure may enhance scientific visibility and improve healthcare outcomes for DFD in the region.
    Keywords:  Latin America; bibliometric analysis; diabetes mellitus; diabetes-related foot disease; diabetic foot
    DOI:  https://doi.org/10.1177/15347346251380036
  3. Eur J Orthod. 2025 Sep 17. pii: cjaf067. [Epub ahead of print]47(5):
    Popular orthodontic research on Twitter/X: are scholars and the public in sync?
    Christos Livas, Nikolaos Pandis, Konstantina Delli.
       OBJECTIVES: This study aimed at mapping bibliometric networks and analysing citation impact of the most popular orthodontic articles on Twitter/X.
    METHODS: The top 100 original research articles and systematic reviews/meta-analyses with the most tweets published in the orthodontic journals included in Journal Citation Reports 2023 were retrieved from Altmetric Explorer. Associations were investigated using a random forest algorithm (Boruta) between publication details, Altmetric Attention Score (AAS) and X posts or Web of Science (WoS) citations while co-authorship and keyword networks were visualized using VOSviewer software.
    RESULTS: The sample of most-tweeted articles were assigned a median AAS of 7 [interquartile range (IQR); 5, 14], 8 (IQR; 6, 11) X posts and 21 (IQR; 8, 44) WoS citations. Most of the articles referred to human research, originated from European affiliations, authored by more than four scholars, and were published within 10 years prior to search date. AAS and time since publication were confirmed as important article attributes in predicting the number of X posts. Article type, subject, and time since publication were important factors in predicting WoS citation counts received.
    CONCLUSIONS: Top 100 orthodontic articles on X involved clinical studies and broad author collaborations. Citation count prediction could not be indicated by the popularity of articles on the platform. X engagement and research priorities of scholars need to be re-evaluated to increase the public relevance of orthodontic research.
    Keywords:  Twitter/X; altmetrics; bibliometrics; social media
    DOI:  https://doi.org/10.1093/ejo/cjaf067
  4. Transl Androl Urol. 2025 Aug 30. 14(8): 2289-2301
    A bibliometric study of the top 100 most-cited papers in ureteral stricture reconstruction.
    Jingke He, Junkun Li, Shuai Su, Yu Luo, Yunfan Li, Kun Han, Lincen Jiang, Xuanyu Guo, Jindong Zhang, Chengcheng Wei, Delin Wang.
       Background: Ureteral stricture is caused by iatrogenic and non-iatrogenic factors. The treatment of ureteral stricture usually involves ureteral reconstruction. This study aimed to identify and analyze the top 100 most cited (T100) papers in ureteral stricture reconstruction, a field lacking prior bibliometric analysis.
    Methods: Using the Web of Science Core Collection, we retrieved the T100 articles and review articles on ureteral stricture reconstruction and applied bibliometric tools (CiteSpace, VOSviewer, Bibliometrix) to examine citation patterns, authorship, geographic distribution, journal distribution, co-citation networks, and keyword trends.
    Results: The T100 articles received 4 to 130 citations each, with an average of 25.13. Publications originated from 23 countries, with the USA leading (56 papers, 1,635 total citations) followed by China (17 papers). Temple University (USA, 12 papers) and Peking University (China, 9 papers) were among the most productive institutions. Daniel D. Eun was the top contributing author (12 papers). Urology, Journal of Endourology, and Journal of Urology were the most productive journals. Topic and keywords analysis shows the hot spots of mucosa grafts and robot-assisted surgery.
    Conclusions: Our study provides a comprehensive overview of influential literature in ureteral stricture reconstruction. Ureteral stricture reconstruction is an emerging research field. Mucosa grafts and robot-assisted surgery are likely to be hot topics in the future.
    Keywords:  Ureteral stricture; bibliometric; literature; reconstruction
    DOI:  https://doi.org/10.21037/tau-2025-72
  5. Front Med (Lausanne). 2025 ;12 1563179
    Research trends and hotspots of infertility and phthalate esters: a bibliometric and visualization analysis from 2001 to 2024.
    Xiaoyue Jiang, Xinyuan Liu, Fei Luo, Yinyin Ding, Lu Bai, Shangyuan Liu, Huijin Zhao, Bei Liu, Huifang Zhou.
       Background: Phthalate esters (PAEs) are a class of synthetic compounds that are extensively utilized in a range of consumer products, and they significantly affect both environmental conditions and human reproductive health. Especially, many studies have been conducted to investigate the association between PAEs and infertility. However, a bibliometric analysis on this topic has yet to be published.
    Objective: To conduct a bibliometric and visualization analysis of published articles concerning the association between PAEs and infertility, in order to identify and assess the research trends and hotspots in the field of infertility and PAEs, with a particular focus on by analyzing the temporal shift in exposure pathways and their impact on key unresolved aspects: mixed exposures, dose-response relationships, and toxicological mechanisms.
    Methods: The Web of Science Core Collection (WoSCC) database was searched for publications on infertility and PAEs between 2001 and 2024, to collect the authors, institutions, countries, references, keywords and impact factor (IF). CiteSpace 6.3.1, VOSviewer 1.6.20 and Bibliometrix Biblioshiny 4.1 were utilized to perform this bibliometric and visualization analysis.
    Results: This study analyzed a total of 406 documents, including 322 articles and 84 reviews. The authors and institutions with the largest number of publications belong to China and the USA. Reproductive Toxicology and Environment International have published the highest number of articles, and three most frequently cited journals mainly involve the fields of environmental health perspectives, human reproduction, and toxicological sciences. The analysis of keyword co-occurrence and explosive words shows that the keywords with the highest frequency are "bisphenol a," "infertility" and "testicular dysgenesis syndrome," "endocrine disrupting chemicals," "oxidative stress" and "bisphenol a," "infertility" are the research focuses and hotspots in recent years, which provides valuable guidance for PAEs and infertility from the aspects of etiology, pathogenesis, diagnosis and treatment.
    Conclusion: These results serve to elucidate the research hotspots associated with PAEs and infertility. Furthermore, it assists researchers in concentrating on contemporary research trends and offering guidance for future research, particularly in the areas of etiology, pathological mechanisms, diagnosis, and treatment.
    Keywords:  PAEs; bibliometric analysis; frontiers; hotspots; infertility; visualization analysis
    DOI:  https://doi.org/10.3389/fmed.2025.1563179
  6. Gland Surg. 2025 Aug 31. 14(8): 1572-1584
    Visualizing research trends and collaboration networks in surgery: a case study of bilateral axillo-breast approach surgery [2007-2024].
    Inho Lee, Sung Heuk Kim, Gahgene Gweon, Hyeong Won Yu, Su-Jin Kim, Young Jun Chai, June Young Choi, Kyu Eun Lee.
       Background: Bilateral axillo-breast approach (BABA) offers a remote-access technique for thyroidectomy that maintains the advantages of conventional surgery while eliminating visible neck scarring. Despite its increasing global adoption, no comprehensive bibliometric analysis has been conducted to examine the academic progression of BABA. This study evaluates publication trends, citation networks, and keyword patterns in BABA-related literature over the past 18 years.
    Methods: A bibliometric analysis was conducted using data from PubMed and Web of Science (WoS) covering the period before 2024. Articles were retrieved using search terms related to BABA. Citation networks, co-authorships, and keyword clusters were visualized using bibliometric tools such as VOSviewer and CiteSpace. Following data cleaning and standardization, articles were included in the analysis.
    Results: This study analyzed 170 publications related to the BABA technique and visualized research trends and the status of global collaboration networks through annual publication trends, co-citation analysis, keyword analysis, citation relationships among countries and institutions, as well as author and journal analyses. South Korea published the largest number of articles (106, 62.4%), followed by China (37, 21.8%) and the United States (19, 11.2%). In addition, articles were published by authors from various other countries. Additionally, keyword analysis revealed "robotic thyroidectomy" and "endoscopic thyroidectomy" as major recurring themes, with a marked increase in frequency since 2010, indicating a steady rise in academic interest in the BABA technique.
    Conclusions: According to 18 years of bibliometric analysis, research on the BABA surgical technique has expanded significantly, accompanied by growing academic interest and widespread global adoption. Studies related to BABA have been actively conducted in South Korea, the United States, and China, with researchers from other countries increasingly showing interest and beginning to implement the technique in clinical practice. These findings suggest the potential for even broader global adoption of the BABA approach in the future.
    Keywords:  Bilateral axillo-breast approach (BABA); bibliometric analysis; network analysis; visualization analysis
    DOI:  https://doi.org/10.21037/gs-2025-167
  7. J Craniofac Surg. 2025 Sep 17.
    Within the Numbers: Rethinking Bibliometric Evaluation in Academic Medicine.
    Noah E Alter, Muhammad Daiem, Ronald M Cornely, Erin N Abbott, Benjamin Savitz, Ricardo A Torres-Guzman, Barite Gutama, Galen Perdikis, William Lineaweaver.
       BACKGROUND: Bibliometric indices have become essential tools for evaluating academic productivity, shaping decisions related to hiring, promotion, and research funding. Metrics such as publication count, citation volume, and the h-index offer the appeal of objectivity and standardization. However, as research becomes increasingly interdisciplinary and collaborative, the limitations of these conventional measures have grown more apparent.
    METHODS: This narrative review traces the historical development of commonly used bibliometric indicators and critically evaluates their mathematical underpinnings, structural assumptions, and real-world applications. Through this lens, we highlight fundamental limitations in current evaluative practices and propose a framework for more accurately capturing the nuances of scholarly contribution.
    RESULTS: Traditional metrics fall short in accounting for key contextual variables, including authorship position, collaborative dynamics, and academic career stage. In response, we present a conceptual model anchored in 6 core domains: authorship weighting, career-stage normalization, emphasis on high-impact work, recognition of underrepresented scholarship, evaluation of collaboration structures, and discipline-specific benchmarking.
    CONCLUSION: As bibliometric indicators continue to influence academic advancement, there is a growing need to reimagine how research impact is defined. This review offers a conceptual framework for a more equitable, multidimensional, and context-sensitive approach to scholarly evaluation.
    Keywords:  ; Academic research; bibliometrics; citation count; impact factor; plastic surgery
    DOI:  https://doi.org/10.1097/SCS.0000000000011866
  8. SAGE Open Nurs. 2025 Jan-Dec;11:11 23779608251376122
    Two Decades of Research in Gastric Cancer Care: A Bibliometric and Visualized Analysis.
    Wang Nan, Wang Yanan, Han Zhuo, Wang Weihua.
       Objective: This study aims to elucidate the current research focus, emerging hotspots, and trends in the field of gastric cancer nursing through bibliometric and visual analyses.
    Methods: Data were sourced from the Web of Science Core Collection (WoSCC), and CiteSpace was used to conduct a comprehensive visual analysis of publication frequency, geographic distribution, institutional participation, key terms, trends, and areas of interest.
    Results: A comprehensive analysis was conducted on 241 articles published between 2003 and 2024, representing contributions from 439 authors across 39 countries and regions. Among the top five authors by publication volume, Sung Kim from South Korea was the most prolific, having authored three articles. The most frequently occurring keywords were "gastric cancer" and "quality of life." Keyword clustering revealed "postoperative recovery" and "self-reported experience" as the most prominent clusters. Notably, research on "symptoms" began emerging in 2022 and remains active, representing a newly developing area that is anticipated to become a key research focus in gastric cancer management.
    Conclusions: This study presents a bibliometric overview of gastric cancer nursing research from 2003 to 2024, highlighting contributions by countries, institutions, authors, and journals. It also identifies dominant research themes and emerging trends. In particular, the investigation of risk factors and symptom cluster analysis have gained traction, providing valuable directions for future research in this field.
    Keywords:  CiteSpace; bibliometric analysis; gastric cancer; gastroenterology; nursing
    DOI:  https://doi.org/10.1177/23779608251376122
  9. Lasers Med Sci. 2025 Sep 20. 40(1): 371
    The most influential research in laser therapy for acne and acne scars: A bibliometric analysis.
    Siddig Ibrahim Abdelwahab, Manal Mohamed Elhassan Taha, Abdullah Farasani, Saleh M Abdullah, Jobran M Moshi, Nizar A Khamjan, Ahmad Assiri, Saeed Alshahrani, Khaled A Sahli, Marwa Qadri, Waseem Hassan.
       BACKGROUND: Laser therapy is a key acne treatment, yet no bibliometric study has integrated advanced metrics, co-word dynamics, keyword clustering, and citation analysis of the top 100 papers. Three Scopus search strategies were used, and the top 100 most cited papers were analyzed for descriptive statistics and citation impact. The Title-Abstract-Keyword (TAK) search identified 2,352 papers, with output increasing steadily from 2004 and reaching a peak in 2024 (187 papers). The Abstract-only search retrieved 1,209 papers, also peaking in 2024 (98 papers), while the Title-only search yielded 468 papers, with the highest output in 2021 (39 papers). The 100 most cited papers, published between 1986 and 2021, were drawn from 35 sources and comprised 86 original articles and 14 reviews. These papers exhibited no annual growth, had an average age of 16 years, and received an average of 71.54 citations each. From this title-based analysis, several clear research foci emerged: (1) laser resurfacing and fractional CO₂ laser therapy for atrophic acne scars, including comparative trials with Er: YAG and Nd: YAG lasers; (2) pulsed dye lasers and photodynamic therapy for inflammatory acne; (3) diode and nonablative fractional lasers for reducing sebum production and treating scars in diverse skin types; (4) platelet-rich plasma and radiofrequency microneedling as adjuncts to laser therapy to enhance collagen remodeling; and (5) emerging modalities such as picosecond, indocyanine-green, and 675-nm lasers for targeted acne management. These focal areas represent the primary thematic directions of the most influential studies in the field. This first comprehensive bibliometric analysis of laser therapy for acne identifies fractional CO₂ lasers, nonablative fractional lasers, and combination therapies as dominant research themes, while highlighting emerging modalities such as picosecond and 675-nm lasers. These findings align with current clinical priorities and provide a data-driven roadmap for future therapeutic innovation.
    Keywords:  Acne treatment; Bibliometric analysis; Citation impact; Co-word analysis; Laser therapy; Research trends
    DOI:  https://doi.org/10.1007/s10103-025-04647-w
  10. Sports Med Arthrosc Rev. 2025 Jul 29.
    Hip Arthroscopy and Femoroacetabular Impingement Publications have Greatly Increased from 2004 to 2023: Bibliometric Analysis.
    Haobo Liang, Huichao Wang, Hao Liu, Jili Wang, Xuanye Zhu, Yudong Jia, Wenlong Ma, Xiaoyu Li, Yuankun Zhai, Youwen Liu.
      In the past 20 years, the research hotspots and trends in hip arthroscopy have been explored through bibliometric analysis. The Web of Science Core Collection database was searched for hip arthroscopy articles published between January 1, 2004, and December 31, 2023. Cite Space (Drexel University, version 6.1.6), VOS viewer (Leiden University, version 1.6.20), the Bibliometric online website (https://bibliometric.com/) and Origin (version 2024) were employed. The results showed an overall increasing trend in the number of publications. Hip arthroscopy has remained a future research hotspot for the treatment of hip injuries. Femoroacetabular impingement syndrome and labral tear were identified as research hotspots. However, there are relatively few studies on functional recovery and quality of life improvement in patients 10, 20, or even more years after surgery, representing a potential future research gap. The United States has been an international leader. It is advisable to establish a data exchange mechanism among countries, institutions, and scholars to enhance academic collaboration and advance the progress of hip arthroscopy. Level of Evidence: A bibliometric analysis.
    Keywords:  arthroscopy; bibliometric; femoroacetabular impingement syndrome; hip joint; visualization
    DOI:  https://doi.org/10.1097/JSA.0000000000000439
  11. Front Oncol. 2025 ;15 1604362
    Evolution and hotspots in breast cancer organoid research: insights from a bibliometric and visual knowledge mapping study (2005-2024).
    Tao Wu, BaiXin Li, Hao Lei, FuXing Zhao, Zhen Liu.
       Background: Breast cancer is the most common malignancy among women globally. Organoid technology has emerged as a pivotal tool in breast cancer research due to its advantages in modeling tumor heterogeneity and the microenvironment. Despite rapid advancements in this field, a systematic bibliometric analysis to delineate research trends and challenges is lacking. This study aimed to analyze the research landscape, hotspots, and future directions in the field of breast cancer organoids from 2005 to 2024.
    Methods: Publications related to breast cancer organoids published between January 2005 and March 2024 were retrieved from the Web of Science Core Collection. Bibliometric tools (CiteSpace and VOSviewer) were employed to analyze collaboration networks (countries/institutions), author contributions, keyword co-occurrence clusters, and burst keywords.
    Results: Over the past two decades, the annual publication output on breast cancer organoids has shown continuous growth. The 1618 included English publications garnered a total of 7,323 citations, with a mean citation count of 35.20 per article. The United States (n=666) and China (n=257) contributed over 50% of the publications. Harvard University was the most productive institution. Mina J. Bissell authored the highest number of publications (n=17). High-frequency keywords centered on personalized therapy, immunotherapy, and 3D bioprinting. Burst keyword analysis identified "gene expression" and "signaling pathways" as emerging trends (2019-2024). Key research hotspots include the application of patient-derived organoids (PDOs) for drug screening, co-culture modeling of the tumor microenvironment (TME) with immune components, and the integration of 3D bioprinting technologies.
    Conclusion: This study represents the first comprehensive bibliometric analysis to elucidate the evolution and research hotspots in breast cancer organoid research in recent years. The findings provide a thorough summary of the major achievements, persistent challenges, and future frontiers within this rapidly advancing field.
    Keywords:  3d bioprinting; bibliometrics; breast cancer; drug discovery; organoids; research hotspots; tumor microenvironment
    DOI:  https://doi.org/10.3389/fonc.2025.1604362
  12. J Stomatol Oral Maxillofac Surg. 2025 Sep 17. pii: S2468-7855(25)00345-3. [Epub ahead of print] 102559
    Measuring reach in oral and maxillofacial surgery: Proposal of a new bibliometric index incorporating reads.
    Ricardo Grillo, Mariana Aparecida Brozoski, Maria Cristina Zindel Deboni, Fernando Melhem-Elias.
       OBJECTIVE: This study aims to explore the relationship between traditional citation metrics and alternative indicators of research impact, focusing on oral and maxillofacial surgery. It examines the role of readings and mentions in understanding a study's broader influence and proposes a novel bibliometric index to integrate these dimensions.
    METHODS: A bibliometric analysis was conducted on articles published in 12 primary oral and maxillofacial surgery journals, using data from Dimensions, ResearchGate, and Mendeley. The top 25 most cited and mentioned articles were analyzed for readings, mentions, and citations. Data normalization with Z-scores and regression analysis was performed to evaluate correlations between readings and citations. Data visualization and statistical analyses were conducted using RStudio.
    RESULTS: Among 132,905 published articles, 609 were analyzed. A moderate positive correlation (R = 0.663) between readings and citations was observed, with readings exceeding citations by an average of 7.3 times. Regression analysis indicated readings as a meaningful predictor of citation impact, explaining 44% of the variation in citation scores. Complications and platelet-rich products emerged as topics with higher engagement. Despite correlations, readings and citations captured distinct aspects of article significance, emphasizing readership's importance in reflecting immediate relevance and broader interest.
    CONCLUSION: The study underscores the need for a comprehensive approach to research impact assessment. The proposed "Impact for Readers" index, combining readings and citations, offers a nuanced metric that values both academic recognition and practical utility, aligning with the evolving priorities of the scientific community in the digital era.
    Keywords:  Bibliometrics; Citation Analysis; Orthognathic Surgery; Scientometrics
    DOI:  https://doi.org/10.1016/j.jormas.2025.102559
  13. Saudi Dent J. 2024 Dec;36(12): 1521-1526
    Saudi Arabia's contribution to systematic reviews in dentistry: A bibliometric analysis.
    Swapna Munaga, Aram Alshehri, Ikram Ul-Haq, Sara Kalagi, Rajkiran Chitumalla, Kiran Iyer.
       Background/objectives: Bibliometric is a quantitative assessment method to identify prevailing trends and patterns of publications in a particular field of study. Systematic Reviews (SRs) give an in-depth study of the literature and the most comprehensive overview of the desired research subject. This study aimed to review the bibliometric properties of SRs published by the dentists of Saudi Arabia.
    Materials and methods: Relevant dataset of SRs on dentistry with at least one author affiliated with Saudi Arabia from PubMed database was obtained. Each document of the retrieved data was screened based on the inclusion and exclusion criteria. The citation metric was collected from Google Scholar.
    Results: A total of 625 SRs published from the year 2007 to 2023 were included. The average number of citations for each of these SRs is 25.54. Though a low productivity was observed until 2017, the number of SRs published has increased in the previous three years. SRs in Prosthodontics were the most prevalent. The SRs with the first author from Saudi Arabia and internationally collaborated gained a higher citation impact. Most of the SRs were published in the Saudi Dental Journal. Authors from King Saud University contributed to more than a quarter of the SRs. The two nations that collaborated the most SRs were found to be United States and India.
    Conclusion: Over the last three years, there has been significant progress in the publishing of SRs from Saudi Arabia. The bibliometric parameters identified in this study support researchers in understanding the current status of SRs publication. There is a need to increase awareness about the importance of high-evidence research in dentistry and enhance the training opportunities as well as research incentives for this kind of scientific production.
    Keywords:  Bibliometrics; Dental research; Dentistry; Saudi Arabia; Systematic review
    DOI:  https://doi.org/10.1016/j.sdentj.2024.09.017
  14. Urologia. 2025 Sep 19. 3915603251374375
    Mapping the landscape of uro-oncology research: A scientometric analysis of systematic reviews and meta-analyses (2020-2025).
    Hazhir Ahmadi Shilanabad, Nima Naghdi Sedeh, Helia Mostafaei, Mohsen Mohammadrahimi, Hanieh Salehi-Pourmehr, Sakineh Hajebrahimi.
       BACKGROUND: Uro-oncology, a multidisciplinary field at the intersection of urology and oncology, holds a pivotal role in the diagnosis, treatment, and prevention of genitourinary cancers. Quantitative and qualitative evaluation of scientific publications, particularly review articles, in the field of uro-oncology provides comprehensive insights into the research landscape. This study provides a scientometric and bibliographic analysis of systematic reviews and meta-analyses in this field based on publications indexed in Scopus between 2020 and 2025.
    METHODS: Employing a descriptive-analytical design, we analyzed publication trends, citation patterns, core journals, key authors, and collaboration networks using bibliometric tools like R (Bibliometrix, Biblioshiny) and VOSviewer.
    RESULTS: Our findings reveal a notable decline in the annual growth rate of publications (-63.18%) and a significant reduction in average citations per article. While core journals such as Cancers, Frontiers in Oncology, and International Journal of Molecular Sciences dominate the field, inconsistencies in Scopus metadata, particularly missing citation counts and science categories, limit the accuracy of bibliometric analysis. Despite these challenges, key researchers and consistent focus on areas like immunotherapy and biomarker development are evident.
    CONCLUSION: The study highlights the need for better data curation, targeted funding, and stronger international collaboration to revitalize uro-oncology research.
    Keywords:  Uro-oncology; bibliographic analysis; scientometry
    DOI:  https://doi.org/10.1177/03915603251374375
  15. Orthop Surg. 2025 Sep 20.
    Bibliometric and Visualized Analysis of Research Relating to Spinal Modic Changes Reported Over the Period 2004-2024.
    Haixin Wei, Hui Lu, Lei Li, Changpeng Qu, Hao Zhang, Xuexiao Ma.
       OBJECTIVE: Modic changes (MC) are pathological signal alterations occurring in the vertebral endplates and adjacent bone marrow. These changes are frequently linked to degenerative disc diseases and are associated with low back pain symptoms. However, despite increasing research interest, existing studies are fragmented, mostly descriptive, and lack a comprehensive, quantitative assessment of research patterns, hotspots, and collaboration networks in this field. This study aims to evaluate the current research landscape and global trends regarding spinal MC using bibliometric analysis.
    METHODS: We retrieved relevant publications on spinal MC from the Web of Science Core Collection database, spanning January 2004 to August 2024. Using CiteSpace, we conducted a comprehensive analysis of keywords, co-authors, institutions, countries, research domains, cited literature, cited authors, and cited journals.
    RESULTS: This study analyzed 603 articles published in 168 journals from 193 countries. China emerged as the leading contributor in terms of publication volume, while the University of Oulu in Finland demonstrated the most significant institutional impact. J. Karppinen was identified as the most prolific author, whereas M. Modic was the most frequently cited. Among journals, Spine accounted for the highest number of publications and citations. Key research hotspots identified through keyword analysis include "degenerative disease," "bone marrow changes," "abnormalities," "type II changes," "lower back," "protrusion," "discectomy," "paraspinal muscles," "obesity," and "overweight".
    CONCLUSION: This study represents the first known bibliometric analysis and visualization of MC, offering clinicians valuable insights into research priorities and directions. Future investigations should prioritize the classification, pathophysiological mechanisms, and clinical significance of different types of MC, especially their roles in pain and functional impairment. Research should also explore the impact of obesity and paraspinal muscles on the progression of MC. Moreover, studies should examine the potential benefits of weight loss and muscle strengthening in alleviating symptoms. Finally, researchers should focus on leveraging artificial intelligence to improve the identification and understanding of MC.
    Keywords:  CiteSpace; Modic changes; bibliometrics; clinical relevance; visual analysis
    DOI:  https://doi.org/10.1111/os.70162
  16. Front Pharmacol. 2025 ;16 1606186
    A comprehensive bibliometric exploration of hydrogel applications in spinal cord injury.
    Guosong Han, Huihui Zhang, Zhixiang Li.
       Introduction: Spinal cord injury (SCI) represents a severe traumatic disorder of the central nervous system, leading to potential loss of motor and sensory functions. Its intricate pathological mechanism renders its treatment a formidable challenge. Recently, hydrogels have emerged as promising materials for spinal cord repair due to their exceptional biocompatibility and biodegradability, garnering significant attention. Consequently, extensive research on hydrogel applications in spinal cord injuries aims to provide an in-depth understanding of this field's current state and delineate future research trajectories.
    Methods: A thorough search was conducted using the Web of Science Core Collection (WoSCC). Bibliometric tools such as CiteSpace, VOSviewer, Scimago Graphica, R and Bibliometrix software were employed to construct a knowledge map regarding the application of hydrogel in SCI.
    Results: A bibliometric analysis of 1,015 publications between 2000 and 2025 elucidates the current research landscape, developmental trends, academic impact, and emerging knowledge dissemination patterns in hydrogel applications for SCI. The international collaboration in hydrogels-based SCI research exhibits a China-U.S.-centered network structure: as the top two publishing countries (464 vs. 278 publications), they maintain the closest bilateral collaboration, collectively forming a prominent transnational research network. The journal Biomaterials boasts the highest number of publications with 58 articles. Among prolific authors, Shoichet, Molly S., has authored the most papers, totaling 38 articles. There is a notable collaboration among various countries and institutions, with current research predominantly focusing on inflammation, apoptosis, nanoparticles, and injectable hydrogels. These efforts aim to achieve functionalized hydrogel regulation of microenvironmental changes, emerging as a focal point in contemporary research. This research highlights the latest trend of hydrogels in the treatment of SCI, thus pointing out the direction for new treatment strategies.
    Discussion: The current research focus, which include the integration of functionalized hydrogels with biological factors, are setting the stage for subsequent investigative endeavors and the eventual clinical application of hydrogel in the treatment of SCI. This comprehensive analysis not only delineates the current state and emerging frontiers of hydrogel-based treatments for SCI but also provides a roadmap for future innovation.
    Keywords:  bibliometric analysis; biomaterials; hotspots; hydrogel; spinal cord injury
    DOI:  https://doi.org/10.3389/fphar.2025.1606186
  17. Front Oncol. 2025 ;15 1465104
    Global research trends in radiotherapy for bone metastases: a systematic bibliometric analysis.
    Fadong Yin, Xuan Liu, Xianxiu Nan, Xianbin Zheng, Xinjue Shi, Jing Yuan, Liu Qiteng, Yuyan Gao.
       Background: With the development of various advanced radiotherapy techniques, research related to radiotherapy for bone metastases has made great progress, and scholars have published a large number of publications. In this study, we summarized the knowledge structure of radiotherapy for bone metastases and outlined the research hotspots through bibliometric analysis.
    Methods: Publications on radiotherapy for bone metastases from 1992 to 2024 were searched in the Web of Science Core Collection (WoSCC) database. Countries, institutions, authors, references, and keywords in the field were visualized using VOSviewer version 1.6.19 and CiteSpace version 6.3.R1.
    Results: 1303 publications from 71 countries were included in this study. The number of research publications on radiotherapy for bone metastases has been increasing year by year. The United States of America (USA) ranking first in terms of publication count and co-citation frequency. The most prolific institutions and authors were the University of Toronto and Sahgal A, while Chow E was the most co-cited author. The most co-cited paper was published by Lutz S et al. in 2011 in Internation Journal Of Radiation Oncology Physics. "stereotactic body radiotherapy", "spine metastases", "spinal cord compression", " immunotherapy" and "oligometastases" are the main keywords of the current research topics.
    Conclusions: The application of stereotactic body radiotherapy (SBRT) in the treatment of patients with bone metastases, especially oligometastases, has attracted extensive attention from researchers. How to choose reasonable radiotherapy for patients with complicated bone metastases has now become a research hotspot. Radiotherapy combined with immunotherapy may be the future development trend.
    Keywords:  CiteSpace; VOSviewer; bibliometric analysis; bone metastases; radiotherapy
    DOI:  https://doi.org/10.3389/fonc.2025.1465104
  18. Cureus. 2025 Aug;17(8): e90364
    A Bibliometric Analysis of Research on Appearance Anxiety.
    Li Yang, Shixin He, Xiao Qin.
      Over the past two decades, research on appearance anxiety has experienced a significant surge. There is an urgent need to sort out these studies to promote the integration of the discipline. This study conducted a bibliometric analysis of research related to "appearance anxiety" in the Web of Science Core Collection (WoSCC) via a visualization tool, aiming to clarify the research hotspots and frontiers, and provide valuable information for researchers in this field. A total of 365 publications were searched. The expansion of research scale in this field coexists with the dilution of academic influence. The USA is the dominant country in this field. International collaboration urgently needs to be strengthened. The research hotspots focus on studies related to appearance anxiety and related psychological and social aspects. They are concentrated on issues related to body image and mental health among the adolescent population. The research frontiers not only delve deeper into the individual but also examine the long-term impact of appearance anxiety on an individual's social functions, interpersonal relationships, and overall quality of life.
    Keywords:  appearance anxiety; bibliometrics; bibliometrix; frontiers; hotspots
    DOI:  https://doi.org/10.7759/cureus.90364
  19. Fa Yi Xue Za Zhi. 2025 Jun 25. pii: 1004-5619(2025)03-0217-11. [Epub ahead of print]41(3): 217-227
    [Bibliometric and Visual Analysis of Forensic Research on Body Fluid Identification].
    Bao-Yan Xie, Ruo-Cheng Xia, Ting-Ting Jiang, Rui-Yang Tao, Cheng-Tao Li.
       OBJECTIVES: To analyze the literature in the field of body fluid identification collected in the Web of Science Core Collection (WoSCC) database from 2000 to 2023, and explore the research status, hotspots and development trends in this field.
    METHODS: The CiteSpace software was utilized to conduct a visual analysis of the literature in the field of body fluid identification included in the WoSCC database from 2000 to 2023. Meanwhile, a bibliometric analysis of the annual publication volume, journal distribution, national contribution, research institutions, author collaboration, and keywords of the literature was conducted.
    RESULTS: A total of 715 papers on forensic body fluid identification were included, and the annual publication volume showed a continuous and stable growth. Among the 55 countries (regions) that published papers, the United States ranked first with 174 papers, followed by China with 107 papers. In terms of journal distribution, Forensic Science International: Genetics had the largest number of papers, which accounted for 20% of the total papers. In terms of author collaboration, a total of 2 079 authors participated in body fluid identification research, and the author collaboration network showed a clearly clustered distribution. The keywords analysis revealed that research hotspots focused on traditional methods, specific RNA molecular markers, DNA methylation, spectroscopy, and the application of microbiomics.
    CONCLUSIONS: Research in the field of forensic body fluid identification is thriving, and research institutions and teams should strengthen their collaboration. Establishing unified result interpretation standards and systems and exploring the multiple biomarkers combined application methods will be the research hotspots and important directions for future research in this field.
    Keywords:  CiteSpace; Web of Science; bibliometrics; body fluid identification; forensic genetics
    DOI:  https://doi.org/10.12116/j.issn.1004-5619.2024.541105
  20. Digit Health. 2025 Jan-Dec;11:11 20552076251365059
    The top 100 most-cited articles on large language models in medicine: A bibliometric analysis.
    Zhi-Qiang Li, Runbing Xu, Xin-Ran Gong, Cheng-Lu Wang, Jian-Ping Liu.
       Objectives: Large language models (LLMs) are revolutionizing medical research. However, there is a lack of bibliometric analysis that identifies citation trends shaping the history of this field. This study analyzes the top 100 (T100) most-cited articles on LLMs in medicine to assess their impact and characteristics.
    Methods: A bibliometric analysis of top-cited articles in the Web of Science database using search terms like "LLMs, generative artificial intelligence, GPT" from 2022 to 2025. Two reviewers identified the T100 papers, extracting publication details, citations, and research themes, adhering to BIBLIO reporting guidelines.
    Results: The T100 articles had contributed from 655 authors, and 92 articles were published in 2023. Original research constituted the majority of publications (60 articles). Collectively, these works accumulated 14,847 citations, with individual citations ranging from 50 to 1057 (average 148.47). The U.S. led global contributions with 56 articles, Stanford University emerging as the most prolific institution (8 articles). The top seven journals contributed to 31% of the T100, and Journal of Medical Internet Research published the largest share (8 articles) in 70 peer-reviewed journals. The most-cited article is "Evolutionary-scale prediction of atomic-level protein structure with a language model" (Lin et al., Science 2023; 1057 citations). The research themes centered on evaluating LLMs' performance in exam-style evaluations, medical knowledge synthesis, and question-answering tasks in medicine.
    Conclusion: This analysis provides a core overview of high-impact LLMs research in medicine, guiding future applications. The findings highlighted the remarkable progress in clinical decision support, drug discovery, multimodal medical imaging analysis, and personalized medical information-answering. They also stress the need for prospective trials to assess real-world clinical impacts, boost the reliability of LLMs-generated medical info, develop consensus-driven solutions to address ethical challenges, and launch global initiatives to democratize LLMs tools.
    Keywords:  Bibliometric analysis; citation analysis; large language models; medical research
    DOI:  https://doi.org/10.1177/20552076251365059
  21. J Robot Surg. 2025 Sep 15. 19(1): 606
    Research trends of global artificial intelligence application in obstetrics and gynecology from 1999 to 2025: a bibliometric analysis based on web of science.
    HuanYu Lin, Xin Deng, Dan Song.
      Artificial intelligence (AI) has rapidly advanced in the medical field, with a notable increase in its applications within obstetrics and gynecology. This study aims to identify key research trends in AI applications in this domain over recent Years through bibliometric analysis and to predict future research directions. Following a comprehensive analysis and screening, 926 articles were selected for inclusion in this study. The overall publication output exhibited a consistent upward trend, suggesting significant potential for future research advancements. Among individual contributors, the most prolific authors were Laios, Alexandros (11 publications), Kalampokis, Evangelos (10 publications), and Nugent, David (9 publications). The leading institutions, ranked by publication volume, were all based in the United States: the University of California System (28 publications), Harvard University (22 publications), and the University of Texas System (21 publications). At the countries/regions level, the top three countries/regions by research output were the People's Republic of China (283 publications), the United States (228 publications), and the United Kingdom (78 publications), all of which demonstrated strong international collaboration networks. These publications spanned 81 research domains, with obstetrics & gynecology being the most frequently addressed field (307 publications). In terms of keyword frequency, the five most prevalent keywords were "machine learning" (184 occurrences), "risk" (108 occurrences), "women" (105 occurrences), "artificial intelligence" (103 occurrences), and "labor" (89 occurrences). Keyword clustering analysis revealed ten distinct thematic clusters, primarily centered around three key areas: auxiliary diagnosis and treatment, health management, and robotic surgery in obstetrics and gynecology. The keyword with the highest burst intensity was "pregnancy," while recently emerged and sustained high-intensity keywords included "resistance," "induction," "classification," and "prediction." AI technology in obstetrics and gynecology is advancing rapidly. To stimulate breakthroughs and foster innovation, enhanced collaboration among researchers and institutions is essential. Looking forward, the integration of AI with obstetrics and gynecology is poised to offer substantial benefits and is anticipated to become a pivotal trend and area of focus in the field's future advancement.
    Keywords:  Artificial intelligence; Bibliometrics; CiteSpace; Deep learning; Machine learning; Obstetrics and gynecology; VOS viewer; Visualization analysis
    DOI:  https://doi.org/10.1007/s11701-025-02756-w
  22. Nurse Educ Pract. 2025 Sep 13. pii: S1471-5953(25)00311-7. [Epub ahead of print]88 104554
    Artificial intelligence in nursing practice and education: A 10-year bibliometric analysis of trends, gaps and emerging frontiers.
    Walaa Badawy, Mostafa Shaban, Haithm Zinhom.
       AIM: To conduct a bibliometric analysis of global research on Artificial Intelligence (AI) in nursing (2014-2024), identifying publication trends, influential contributors and emerging themes.
    BACKGROUND: Although AI adoption in medicine is widely studied, its integration into nursing practice, education and professional identity remains limited. Bibliometric mapping helps clarify research trajectories and priorities.
    DESIGN: A descriptive bibliometric study.
    METHODS: Publications were retrieved from Web of Science, Scopus and PubMed/MEDLINE (2014-2024). After deduplication, 2225 records were analyzed. Descriptive statistics were performed in Excel and VOSviewer (v.1.6.20) was used for co-authorship, co-citation and keyword co-occurrence analyses. Synonyms were harmonized and author keywords prioritized.
    RESULTS: Annual publications grew from 38 in 2014-563 in 2024. The most active journals were CIN: Computers, Informatics, Nursing and Nurse Education in Practice. Leading contributors included Topaz, Lopez and Bowles, with the United States, China and Canada producing most publications. Co-citation analysis underscored foundations in nursing informatics, while recent work emphasized AI literacy, ethics and education. Keyword clustering revealed five domains: predictive analytics, decision support, nursing education, advanced techniques and ethics/equity.
    CONCLUSIONS: AI in nursing has expanded from informatics toward practice, education and governance. Future research should prioritize outcome-based evaluations, curricular integration and ethical frameworks to align AI with nursing's relational values.
    Keywords:  Artificial intelligence; Bibliometric analysis; Clinical decision support; Ethics; Nursing; Nursing education
    DOI:  https://doi.org/10.1016/j.nepr.2025.104554
  23. J Multidiscip Healthc. 2025 ;18 5743-5758
    Frontiers and Emerging Trends in Edaravone Research: A Bibliometric Analysis of Molecular Basis and Clinical Studies Using CiteSpace and VOSviewer.
    Li-Chao-Yue Sun, Wen-Shu Li, Wei Chen, Dan-Qi Zhao, Xin Zhang, Chun-Xing Li, Zhao Ren.
       Purpose: Edaravone is a potent free-radical scavenger and antioxidant that has been widely investigated for its therapeutic potential in neurodegenerative diseases and oxidative stress-related conditions. Although previous studies have explored its molecular structure, pharmacological effects, and clinical applications, a comprehensive bibliometric analysis of its research trends and future directions remains lacking.
    Methods: This study employed bibliometric methods to analyze edaravone-related publications from 2000 to 2024, using the Web of Science Core Collection database. The analysis examined publication trends; contributions by countries, institutions, and authors; and keyword clustering. Data visualization tools, such as CiteSpace and VOSviewer, were utilized to identify research clusters and emerging trends in edaravone research.
    Results: The findings revealed a significant increase in edaravone-related publications, with China, Japan, and the United States as the leading contributors. Notable researchers, including Abe K and Yoshino H, have made substantial contributions to this field. Four major research clusters were identified: free radical scavenging, cerebral infarction, amyotrophic lateral sclerosis, and oxidative stress. Emerging trends suggest a growing interest in edaravone dexbornel for acute ischemic stroke treatment, as well as its potential applications in blood-brain barrier interactions and Alzheimer's disease.
    Conclusion: This bibliometric analysis highlights the growing interest in edaravone and its potential clinical application, particularly in neuroprotection. While this study provides valuable insights into current research trends, future studies should incorporate a broader range of sources and languages to obtain a more comprehensive understanding of the impact and scope of edaravone.
    Keywords:  amyotrophic lateral sclerosis; bibliometric; edaravone; free radical scavenger; stroke
    DOI:  https://doi.org/10.2147/JMDH.S544626
  24. Int J Surg. 2025 Sep 19.
    Research trend on quantum dots for tumor diagnosis and therapy: a bibliometric analysis.
    Yonghui Feng, Danni Wang, Zhongqing Wang, Hui Kang.
      As nanoscale luminous materials, quantum dots (QDs) have gained extensive application in tumor diagnosis and therapy. Their size-tunable optical properties, compact nanoscale dimensions, high surface area, and excellent biocompatibility render them particularly suitable for tumor diagnosis and therapy, encompassing bioimaging, biosensing, drug delivery, as well as photothermal and photodynamic therapy applications. To systematically catalog the scientific advancements in QDs in the tumor-related research field, we first conducted a comprehensive bibliometric analysis of relevant studies published between 2002 and 2024. This bibliometric analysis revealed annual publication trends, highly productive journals, global collaboration networks among leading countries/regions and institutions, impact references, and the research hotspots and frontiers within the field. Co-occurrence cluster analysis of high-frequency keywords identified seven principal research domains: classification of QDs, properties of QDs, photochemotherapy, delivery, biosensing, bioimaging, and functionalization. Temporal visualization of high-frequency keyword networks further indicated that future research priorities will focus on green synthesis methodologies and clinical translation of next-generation QDs with enhanced biocompatibility and targeting capabilities. We hope to provide a systematic bibliometric perspective for cross-field researchers to promote the advancement of QDs in the tumor research field.
    Keywords:  bibliometric analysis; diagnosis; quantum dots (qDs); therapy; tumors
    DOI:  https://doi.org/10.1097/JS9.0000000000003217
  25. Naunyn Schmiedebergs Arch Pharmacol. 2025 Sep 17.
    A bibliometric analysis of global research trends in autophagy and glioblastomas.
    Liye Yi, Wencai Wang, Yinuo Chen, Zijie Xiong, Luyao Ma, Zun Wang, Wei Ye, Xianfeng Li.
      Autophagy plays a critical role in the pathogenesis of glioblastoma (GBM) and is increasingly being explored as a therapeutic target to enhance the efficacy of chemotherapy across various malignancies. However, comprehensive systematic reviews focusing on autophagy in GBM remain limited. This study aimed to explore emerging trends and future directions in the field of autophagy and GBM through a bibliometric analysis. Relevant literature was retrieved from the Web of Science Core Collection (WoSCC) on September 10, 2024. Comprehensive analyses were conducted using CiteSpace, VOSviewer, and Scimago Graphica to identify key patterns and developments in the field. A total of 1621 publications spanning 20 years of scientific research were retrieved. China and the USA led in article production, with the International Journal of Molecular Sciences and Cancers being the most prolific journals. China Medical University ranked as the top institution for output. Authors Zhan Li and Joanna Jakubowicz-Gil demonstrated the highest productivity, while Roger Stupp had the highest co-citation count. Recent keywords with strong citation burst strength included "Beclin 1," "epithelial-mesenchymal transition," "chloroquine," "unfolded protein response," and "drug resistance." This bibliometric analysis provides an overview of the fundamental knowledge in the fields of autophagy and glioblastoma, highlighting key areas such as the role of autophagy in glioblastoma therapeutic resistance, the dual functions of autophagy in glioblastoma, and the potential of autophagy regulators when combined with conventional therapies. These topics, along with the underlying mechanisms, are expected to be the central focus of future research.
    Keywords:  Autophagy; Bibliometric; Citespace; Glioblastomas; Hotspot; VOSviewer
    DOI:  https://doi.org/10.1007/s00210-025-04578-x
  26. J Thorac Dis. 2025 Aug 31. 17(8): 5760-5776
    Bibliometric analysis of the no-reflow in ST-segment elevation myocardial infarction patients post-percutaneous coronary intervention: unveiling research trends, collaborative networks, and therapies.
    Li Yang, Hongliang Cong, Yali Lu, Xingyu Huo, Juan Chen.
       Background: Insufficient blood flow following percutaneous coronary intervention (PCI) presents a significant challenge in the management of ST-segment elevation myocardial infarction (STEMI). This study aims to provide a bibliometric analysis of the research landscape pertaining to the no-reflow phenomenon in STEMI patients who have undergone PCI.
    Methods: A systematic literature search was conducted on the absence of blood flow following STEMI PCI utilizing the Web of Science Core Collection database, covering the period from 2000 to 2025. Bibliometric indicators, co-occurrence analysis, and burst detection were employed through the use of VOSviewer, CiteSpace, and R-bibliometrix tools.
    Results: The analysis included 1,101 publications authored by contributors from 60 countries and 1,811 institutions. China led in research output, contributing 255 articles, while Heart Center Leipzig GmbH was the most prolific institution. Thiele H, with an H-index of 26, emerged as the most influential author. Journals such as the European Heart Journal and the Journal of the American College of Cardiology served as key platforms for this research. Keyword analysis revealed a shift in research trends, from early disease- and technique-related terms such as "thrombus", "aspiration" and "thrombolytic therapy" to recent terms focused on precision medicine, including "enhancement" and "quantification".
    Conclusions: This study comprehensively elucidated global collaboration patterns and the dynamic evolution of research trends in this research field. Keyword analysis revealed a shift in focus from conventional techniques to patient-centered care and personalized treatment strategies in precision medicine. These insights provided valuable guidance for researchers.
    Keywords:  Bibliometrics; ST-segment elevation myocardial infarction (STEMI); collaborative networks; no-reflow phenomenon; percutaneous coronary intervention (PCI)
    DOI:  https://doi.org/10.21037/jtd-2025-39
  27. Front Immunol. 2025 ;16 1604216
    Trends and hotspots in research related to tumor immune escape: bibliometric analysis and future perspectives.
    Houcheng Zhu, Yue Huang, Xiangjin Wang, Wang Xiang, Yong Xie.
       Background: Tumor immune escape, a defining hallmark of malignant tumors, enables cancer cells to thrive within the host by evading detection and attack by the immune system. While immune checkpoint inhibitors, such as PD-1/PD-L1 antibodies, have delivered significant clinical advances, their effectiveness is tempered by modest response rates and a growing challenge of drug resistance. In this study, we aimed to explore the development process and trend of tumor immune escape, analyze the current hot spots, and predict the future research directions.
    Methods: A bibliometric analysis was conducted in this study to retrieve and analyze 1839 publications from January 1, 2009 to February 14, 2025 related to tumor immune escape. Literature was obtained from Web of Science Core Collection (WoSCC) and data visualization and trend analysis were performed using VOSviewer, CiteSpace, Bibliometrix software package.
    Results: The bibliometric analysis indicates that research on tumor immune escape has primarily focused on China, the United States, and European countries. China ranks first in research output and impact, with notable contributions from institutions like the Sun Yat-sen University System and the University of Texas System. The journal with the most publications is Frontiers in Immunology, while the most cited article globally is Jiang P's 2018 publication in Nature Medicine, titled "Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response." Keyword co-occurrence and burst analysis indicate that the field has undergone a thematic evolution. Early research centered around classical immune checkpoint molecules and T cell exhaustion, while more recent trends have shifted toward the tumor microenvironment (TME), multi-target combination immunotherapies, and mechanisms of immune evasion involving metabolic reprogramming and the microbiome. The integration of artificial intelligence (AI) and machine learning (ML) in immunotherapy prediction and biomarker discovery has also gained momentum, highlighting a growing cross-disciplinary approach.
    Conclusion: This bibliometric study provides a comprehensive overview of the intellectual landscape, research hotspots, and developmental trajectory of tumor immune escape research over the past 14 years. By mapping influential nation, authors, core journals, reference, and keyword bursts, this work not only summarizes major contributions in the field but also helps researchers better understand its evolution and emerging directions. Based on the observed patterns, we propose three key areas that warrant further exploration: (1) advancing interdisciplinary research at the intersection of the microbiome, metabolism, and immune regulation; (2) integrating artificial intelligence and multi-omics data to enhance predictive modeling and therapeutic precision; and (3) combining multi-modal therapeutic strategies to overcome immune escape more effectively.
    Keywords:  bibliometric analysis; immune checkpoint inhibitors; tumor immune escape; tumor microenvironments; tumors
    DOI:  https://doi.org/10.3389/fimmu.2025.1604216
  28. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2025 Aug;47(4): 590-600
    Bibliometric Analysis of Intelligent Ultrasound Imaging in the Diagnosis of Thyroid Nodules.
    Yang Li, Jian-Lin Wang, Jiao-Jiao Ma, Zhe Sun, Bo Zhang.
      Objective To explore the research progress and hotspots of intelligent ultrasound imaging in the diagnosis of thyroid nodules and clarify the research directions via the bibliometric method.Methods The relevant research articles on intelligent ultrasound imaging in the diagnosis of thyroid nodules were retrieved from the Web of Science Core Collection,covering the period from January 2004 to August 2024.Python was used to analyze the number of annual publications.VOSviewer was used to create the co-occurrence network of authors and the keyword density map.CiteSpace was used to demonstrate the dual-map overlays of the journals,as well as the bursts and clustering of co-citations and keywords.Results A total of 1 179 articles were included.The annual number of publications increased steadily.The involved journals demonstrated high quality,and the publications showed a trend of cross-research.Chinese researchers were the core research force in this field.Haugen et al.'s study on the guidelines for thyroid nodules had the most citations.The clustering of co-citations and keywords indicated studies in multiple fields.Thyroid nodules,cancer,and deep learning were the representative keywords in this field.Conclusions The continuous enrichment of research topics promotes the rapid development of intelligent ultrasound imaging for thyroid nodules.Intelligent diagnosis methods based on deep learning can provide diagnostic suggestions,while there are still challenges such as interpretation.One of the research directions is the deep combination of intelligent diagnosis algorithms and medical knowledge.
    Keywords:  bibliometrics; intelligent diagnosis; thyroid nodules; ultrasound images
    DOI:  https://doi.org/10.3881/j.issn.1000-503X.16324
  29. Int J Emerg Med. 2025 Sep 18. 18(1): 168
    Neuroimaging in traumatic brain injury: a bibliometric analysis.
    Sidhartha R Ramlatchan, Benjamin Colaco Jamal, Latha Ganti, Samiya Natesan-Torres, Sreeja Natesan.
      
    Keywords:  Bibliometric; Neuroimaging; TBI
    DOI:  https://doi.org/10.1186/s12245-025-00991-4
  30. Medicine (Baltimore). 2025 Sep 12. 104(37): e44275
    Knowledge mapping analysis of sedentary behavior and mental health research: A bibliometric analysis from 2004 to 2024.
    Yi Liu, Zhen Zhang, Hao Zhang, Sisheng Tian.
       BACKGROUND: Mental health issues exhibits a significant correlation with sedentary behavior (SB). To construct a scientific knowledge map of SB and mental health using bibliometric methods and to explore the research status, hotspots, and future trends in this field over the past 20 years.
    METHODS: Articles were obtained in the Web of Science core collection database, with SB and mental health topics. Simultaneously, visual analysis of the included literature was cooperation among countries/institutions, core authors, active journals, and co-occurrence of keywords, and a scientific knowledge map was drawn.
    RESULTS: From 2004 to 2024, publications on the topic of SB and mental health have shown a rapid growth trend, albeit with a slight decline after 2022. Regarding cooperative relationships, cooperation among countries, institutions, and authors is close, with the United States, Kings Coll London, among others, occupying core positions in this field. The International Journal of Environmental Research and Public Health is the most prolific journal. Current research hotspots include "association between sedentary behavior and physical activity with health," "association of sedentary behavior with depression, anxiety, and risk factors" and "associative diseases such as obesity and cardiovascular mortality risk in children and the elderly." Future research directions maybe "influence of sedentary behavior on sleep and specific psychological disorders."
    CONCLUSION: This study underscores the significant attention given to SB and mental health over the past 2 decades, providing valuable insights and guiding future research endeavors.
    Keywords:  Citespace; emotional disorders; mental health; sedentary behavior; visualization
    DOI:  https://doi.org/10.1097/MD.0000000000044275
  31. Int Urol Nephrol. 2025 Sep 11.
    Knowledge domains and emerging trends in aldosterone and kidney disease prognosis: a bibliometric analysis.
    Wen Jiang, Mengru Wang, Wenbo Yang, Xiaoguang Yao, Nanfang Li.
       PURPOSE: Aldosterone plays a key role in kidney disease, but previous bibliometric studies have focused only broadly on the renin-angiotensin-aldosterone system (RAAS) or chronic kidney disease (CKD) as a whole. A focused bibliometric analysis specifically on aldosterone and kidney disease prognosis has been lacking. This study addresses that gap by mapping global research trends, identifying leading contributors, and pinpointing current priorities in this field.
    METHODS: We searched the Web of Science Core Collection for studies published between January 1, 1963, and May 6, 2025. Using VOSviewer, CiteSpace, and the R package "bibliometrix," we analyzed collaboration networks, author and institutional productivity, journal impact, keyword co-occurrence, and research trends.
    RESULTS: A total of 1338 articles from 5628 institutions in 77 countries were included. The United States led in publication output and collaboration, with China and Japan following. Harvard University, INSERM, and Harvard Medical Affiliates were the most productive institutions. The most influential authors were Pitt Bertram, Zannad Faiez, and Rossignol Patrick. Top journals included Kidney International and the American Journal of Kidney Diseases. Common keywords were "mortality," "risk," "blood pressure," "aldosterone," and "chronic kidney disease." Recent research has focused on "management," "serum potassium," "mineralocorticoid receptor antagonists," and "meta-analysis," reflecting shifts toward optimizing therapy and improving safety.
    CONCLUSION: This targeted bibliometric analysis fills a specific gap by clarifying how aldosterone research shapes our understanding of kidney disease prognosis. The findings highlight the need for more integrated, multidisciplinary approaches and support continued clinical and translational research to refine therapies and improve patient outcomes.
    Keywords:  Aldosterone; Bibliometric analysis; Collaborative networks; Prognosis; Research trends
    DOI:  https://doi.org/10.1007/s11255-025-04756-z
  32. Semin Ophthalmol. 2025 Sep 17. 1-11
    Global Trends and Emerging Themes in Tele-Ophthalmology Research: A Bibliometric Analysis (1993 to 2024).
    Yogita Kadam, Namrata Dagli, RaguKumar Venugopal, Sushrutha Raj, Sonu Goel.
       BACKGROUND: Tele-ophthalmology is transforming eye care delivery, particularly in remote and underserved areas, where specialist shortages and geographic barriers prevent millions from receiving timely diagnosis and treatment for preventable blindness. Tele-ophthalmology has emerged as a critical solution to bridge these care gaps, with applications ranging from remote screening, diagnosis, and monitoring of conditions like diabetic retinopathy and glaucoma. Despite rapid technological advances and growing implementation, the research landscape lacks literature providing an overview of global trends, collaborative patterns, and emerging innovations in this field, hindering strategic research planning and evidence-based policy development for expanding digital eye care services. This study aims to analyse global trends and emerging themes in tele-ophthalmology research to fill this knowledge void and provide strategic insights for researchers, clinicians, and policymakers.
    METHODS: A comprehensive online literature search was conducted using the Scopus database, retrieving English-language publications related to tele-ophthalmology up to 31st December 2024. Data were extracted and analysed using Biblioshiny in R Studio and VOSviewer. The study assessed annual publication trends, top journals' contributions, authors' contributions, authors' collaboration, keyword co-occurrence, and thematic evolution.
    RESULTS: A total of 5,498 publications were identified, with an annual growth rate of 9.55%, and nearly 800 articles published in 2023 alone. The United States led in publication output and international collaborations. Dr. Michael F. Chiang published the highest number of articles, with the highest total link strength (174), followed by Dr. R.V. Paul Chan and Dr. J. Peter Campbell (122). Telemedicine and E-Health was the leading journal, followed by the Journal of Telemedicine and Telecare and the Indian Journal of Ophthalmology. Common keywords included "telemedicine," "diabetic retinopathy," "artificial intelligence," and "COVID-19," reflecting major research themes. Thematic analysis showed a shift toward AI integration and digital health solutions in ophthalmology.
    CONCLUSION: The field of teleophthalmology has experienced significant and rapid growth in research activity. Recent trends indicate growing integration of artificial intelligence and digital health tools. This bibliometric study provides a comprehensive overview that can inform future research and policy efforts to enhance digital eye care delivery.
    Keywords:  Bibliometrics; digital health; ophthalmology; remote eyecare; tele-ophthalmology; telehealth
    DOI:  https://doi.org/10.1080/08820538.2025.2559842
  33. Front Oncol. 2025 ;15 1604136
    Artificial intelligence in head and neck cancer: a bibliometric analysis of research landscape, emerging trends, and challenges.
    Shufang Liu, Jingdan Zhang, Ziye Tan, Bo Zhou.
       Background: Head and neck cancer is the seventh most common cancer worldwide. As an aggressive malignancy, it is characterized by high metastasis rates, complex anatomy, challenging treatments, high recurrence rates, and significant disability. Over the past decade, advancements in big data, AI algorithms, and hardware have enabled artificial intelligence to make substantial contributions to addressing medical challenges in oncology, including head and neck cancer. The era of AI-driven head and neck tumor management may soon arrive. Despite significant attention, there has been a lack of quantitative literature-based studies in this field.
    Objective: This study aims to delineate the knowledge structure, hotspots, and trends in AI applications for head and neck cancers since 1995 through bibliometric analysis.
    Method: We conducted a comprehensive literature search via the Web of Science, utilizing tools such as CiteSpace, ArcGIS, and VOSviewer for analysis, with a focus on key countries, institutions, authors, and emerging topics.
    Result: We analyzed 362 papers authored by 235 researchers from 189 institutions across 55 countries, with China leading in publication output. Radiotherapy and Oncology was the most influential journal. Bur, Andres M was the pioneering author, and the University of Texas System ranked as the top publishing institution. Currently, the most significant keywords include "target volumes," "prognosis," "algorithm," "survival," "lesions," and "automatic diagnosis." Additionally, we identified 12 keyword clusters in the field, with the latest five clusters labeled as "automatic diagnosis", "explainable artificial intelligence", "guidelines", "research trends", and "natural intelligence".
    Conclusion: This article provides a concise overview of the current landscape and emerging trends in AI applications for head and neck cancer research, offering insights and guiding future studies in this evolving field.
    Keywords:  artificial intelligence; bibliometric; deep learning; head and neck cancer; tumor
    DOI:  https://doi.org/10.3389/fonc.2025.1604136
  34. Digit Health. 2025 Jan-Dec;11:11 20552076251375840
    Deep learning applied in epilepsy: Bibliometric and visual analysis.
    Wu Yiman, Wu Wenqi.
       Background: Epilepsy is a prevalent chronic neurological disease with significant impacts. Traditional diagnostic methods and machine learning face challenges due to the complexity of electroencephalography (EEG). Deep learning (DL) shows potential in epilepsy management through EEG processing and brain imaging analysis. This study aims to fill the gap of missing bibliometric analysis in this field by conducting a visual bibliometric analysis of DL applications in epilepsy, revealing research trends, hotspots, and cutting-edge developments to guide future research directions.
    Methods: In this study, a comprehensive search of original research articles and reviews, limited to English-language, published from 2006 to 2025, was conducted by the Web of Science Core Collection database. Bibliometric analyses and visualizations were conducted by CiteSpace, VOSviewer, and Bibliometrix.
    Results: This search retrieved 1266 papers related to DL applied in epilepsy from the Web of Science Core Collection database, showing a consistent upward trend. These papers were from 1957 organizations across 290 countries/regions, primarily from China and the United States. "Biomedical Signal Processing and Control" ranked as the journal with the most published papers. Acharya, U. Rajendra from Ngee Ann Polytechnic, was the most authoritative author. DL-based seizure detection, prediction, and epilepsy management are key research hotspots. Moreover, multimodal data integration approaches are gaining more attention.
    Conclusions: This study innovatively employs bibliometric methods to visually analyze research on DL applications in epilepsy, which reveals a rising trend in research within the field and identifies key hotspots, such as DL in seizure detection and prediction. The potential of DL to enhance epilepsy management is highlighted, particularly in improving the accuracy of seizure detection and prediction, thereby enhancing patients' quality of life. Furthermore, the findings highlight the importance of increasing seizure prediction accuracy, exploring multimodal data integration, and developing more interpretable DL models for future research.
    Keywords:  Deep learning; EEG; bibliometric; convolutional neural network; epilepsy; seizure detection; seizure prediction
    DOI:  https://doi.org/10.1177/20552076251375840
  35. J Robot Surg. 2025 Sep 17. 19(1): 613
    Bibliometric analysis of global research dynamics in robot-assisted hysterectomy over the past 20 years.
    Jiatong Wang, Sirui Huang, Kaiyuan Li, Jing Li, Xin Huang.
      Compared to open or conventional laparoscopic operations, surgical robots can improve surgical control and precision, which might improve patient outcomes. Nevertheless, a thorough quantitative investigation of their precise influence on hysterectomy has not yet been carried out. The objective of this research is to assess the body of literature on robot-assisted hysterectomy from 2005 to 2025, identifying key trends and research hotspots to guide future research directions. Using information from the Web of Science database, the research performed a bibliometric analysis of publications pertaining to robot-assisted hysterectomy that were published between 2005 and 2025. Keyword clustering and study subjects were analyzed using R software and VOS viewer, exposing patterns and new areas in the area. Two hundred and seventy-five researches on robotic-assisted hysterectomy were encompassed in the investigation. Research in the area has demonstrated a global growing trend in recent years. The number of articles rose rapidly between 2009 and 2015 after being very low between 2005 and 2008. The quantity of publications has varied somewhat between 2016 and 2024, although it has mostly stayed at a high level. The US is the leading country in publications, followed by China, Japan, South Korea, as well as Italy. The United States has a larger network of foreign partners and leads in publishing. The two most published and referenced journals are Gynecologic Oncology and the Journal of Robotic Surgery. The clinical use of robotically assisted hysterectomy is the primary focus of current research hotspots. The economic analysis of robotic surgery is also an important research direction, and the transformation of robotic-assisted hysterectomy into a day surgery model is gradually becoming a significant research area. Surgical robots are a valuable tool for hysterectomy because of their benefits in minimizing blood loss, lowering hospital stays, and speeding up recovery. The study offers useful references for upcoming clinical practice and research by methodically examining the state of robot-assisted hysterectomy as well as research hotspots.
    Keywords:  Bibliometrics; Day surgery; Economic analysis; Hysterectomy; Surgical robot
    DOI:  https://doi.org/10.1007/s11701-025-02783-7
  36. Radiat Oncol. 2025 Sep 18. 20(1): 141
    Correction: Research trends and hot spots in the prevention and management of radiation dermatitis: a bibliometric analysis based on CiteSpace.
    Lu Zhang, Lian Liu, Fang Li, Peijuan Chen, Feng Ye.
      
    DOI:  https://doi.org/10.1186/s13014-025-02728-2
  37. Front Oncol. 2025 ;15 1565132
    Bibliometric analysis of immunotherapy for esophageal cancer: 2004-2024.
    Yunqi Hua, Yubo Liu, Yanhong Liu, Xiaoling Tian, Xinyi Zhang, Jiacong You, Fangrui Yin.
      Esophageal cancer (EC) remains one of the most lethal malignancies worldwide, with particularly high incidence and mortality rates in developing countries. In recent years, immunotherapy has emerged as a promising treatment strategy. This study employed bibliometric visualization tools, including CiteSpace and VOSviewer, to analyze research pertaining to immunotherapy in esophageal cancer. Based on 780 English-language publications indexed in the Web of Science database from 2004 to 2024, we quantitatively examined the research landscape, evolutionary trends, and knowledge structure of this field. The results indicated a steady increase in annual publications, with China being the leading contributor and Zhengzhou University as the most productive institution. Frontiers in Oncology and Journal of Clinical Oncology were the most prolific and most co-cited journals, respectively, while Kato Ken and Kojima Takashi were identified as the most influential scholars in the field. The research focus has shifted from traditional radiotherapy and chemotherapy to immunotherapy-related areas, such as the tumor immune microenvironment, immune checkpoint inhibitors, PD-L1 expression, and microsatellite instability. Current research emphasizes combining immunotherapy with other modalities, including radiotherapy, chemotherapy, and targeted therapy, pointing toward future multimodal combination strategies. Additionally, efforts are directed at identifying novel biomarkers to enhance treatment efficacy, reduce toxicity, and improve patient survival.
    Keywords:  PD-1; bibliometrics; esophageal cancer; immunotherapy; visualization
    DOI:  https://doi.org/10.3389/fonc.2025.1565132
  38. Front Oncol. 2025 ;15 1585931
    Frontier and hotspots in the role of sentinel lymph node in endometrial cancer based on bibliometric analysis.
    Di-Ying Li, Yi Yang, Hai-Hui Xie, Yin Shao, Su Fang, Jin-Ling Zhang.
      The role of sentinel lymph nodes (SLN) in endometrial cancer remains controversial. Our study is dedicated to employing bibliometric methods to explore the correlation between endometrial cancer and SLN. We aim to statistically analyze the existing literature on sentinel lymph nodes in the field of endometrial cancer research and explore future research trends and hotspots. Global literature on the role of SLN in endometrial cancer published from 1900 to the present in the Web of Science core database was searched. Cited articles were focused on by extracting information such as country, journal, keywords, institution and author. Descriptive statistics and visual analysis were performed using VOSviewer and R package. A total of 545 articles were screened, most of which were from USA (159 articles). Based on Bradford Law, Gynecologic Oncology and International Journal of Gynecological Cancer were core journals in this research field. Abu-Rustum Nadeem R from Mem Sloan Kettering Cancer Center was most productive author. The current research focus was endometrial cancer, SLN, lymphadenectomy, biopsy, indocyanine green (ICG). The complication, guidelines, outcomes and survival were the frontier of current research. Researchers in different countries have paid extensive attention to the role of SLN in the treatment of endometrial cancer, and have made breakthroughs in this field. SLN mapping has a promising prospect for the recurrence and prognosis of patients with endometrial cancer. More clinical research is needed to discover the role of SLN in the future.
    Keywords:  VOSviewer; bibliometric analysis; bibliometrix R; endometrial cancer; sentinel lymph node
    DOI:  https://doi.org/10.3389/fonc.2025.1585931
  39. Cancer Treat Res Commun. 2025 Sep 12. pii: S2468-2942(25)00137-6. [Epub ahead of print]45 101001
    A bibliometric analysis on KRAS, a targeted marker for blockbuster clinical drugs.
    Zongzhen Guo, Shiqing Zhao, Yanfei Sun, Yanyan Shi.
      This study aims to provide an overview of research hotspots and trends in KRAS, a key star gene which has been paid special attention to in the field of cancer. Publications on KRAS were searched in the Web of Science Core Collection database. VOSviewer 1.6.16 and R package "bibliometrix" were used for bibliometric analyses. A total of 23,758 publications were identified, including 19,325 original articles and 2913 reviews. A sharp increase of the publications number was found since the year 2016 by time trend analysis. The top 3 countries/regions with the highest number of publications were the United States, China and Europe. Most active organizations were from Europe and the USA. Keywords co-occurrence analysis showed four clusters of KRAS, including the role and molecular mechanism of KRAS in the process of cancer development, especially pancreatic cancer, studies on the characteristics and clinical value of KRAS in colorectal cancer, the role characteristics of KRAS in the occurrence of lung cancer and its clinical applications and research progress of clinical trials targeted KRAS. This study systematically elucidates emerging insights into the critical gene KRAS, providing a contemporary perspective on KRAS-driven oncogenesis.
    Keywords:  Colorectal cancer; KRAS; Lung cancer; Mutation; Tumor
    DOI:  https://doi.org/10.1016/j.ctarc.2025.101001
  40. Int J Surg. 2025 Sep 19.
    The bibliometric and visualized analysis on cancer stem cells in the early 21st century.
    Ludan Zhang, Fanyu Meng, Rui Ge, Xin Tian, Peng Sun, Zhongqing Wang, Xiaojing Yan.
      Cancer stem cells (CSCs) are a crucial tumor subpopulation, involved in tumor initiation, metastasis and recurrence due to their unique abilities for self-renewal and differentiation. This bibliometric analysis aims to illustrate the current landscape of CSC research from 2001 to 2024, using data from the Web of Science Core Collection. We examined 20,839 publications, analyzing trends in annual publications, author contributions, institutional contributions and keyword co-occurrence. Our findings revealed a rising trend in research output, with the United States and China leading in publication volume. The top two institutions were Sun Yat-sen University and the University of Texas MD Anderson Cancer Center, with Harvard University having the highest average citations. Furthermore, keyword analysis identified major thematic clusters including (1) Cluster 1 focused on the CSCs biomarkers and drug resistance. (2) Cluster 2 focused on the metabolism of CSCs, including oxidative stress, apoptosis, autophagy, the cell cycle and angiogenesis. (3) Cluster 3 focused on CSCs in terms of self-renewal, differentiation, and quiescence. (4) Cluster 4 emphasized the crucial role of CSCs in tumor metastasis, invasion, migration as well as their regulation pathways. (5) Cluster 5 focused on CSCs in immunotherapy and tumor microenvironment. This study enhances understanding of research trends and guides future efforts in targeting CSCs for therapeutic interventions, especially in surgical diagnosis and treatment. By illuminating key contributions and emerging themes, it serves as a valuable resource for researchers aiming to advance the field.
    Keywords:  VOSviewer; bibliometrics; cancer stem cells; citespace; drug resistance
    DOI:  https://doi.org/10.1097/JS9.0000000000003368
  41. Front Immunol. 2025 ;16 1605695
    Research trends and hotspots in the tumor microenvironment of ovarian cancer: a bibliometrics and visualization study from 2005 to 2024.
    Jingwen Wang, Guohao Yin, Fangyu Hou, Xiangyu Yin, Tao Liu.
       Background: The tumor microenvironment (TME) is crucial in influencing the progression and therapeutic response of ovarian cancer.
    Method: This study conducted a comprehensive bibliometric and visualization analysis of research trends and focal areas concerning the ovarian cancer microenvironment from 2005 to 2024. A total of 1,720 pertinent articles were identified from the Web of Science Core Collection (WoSCC) database.
    Results: The analysis revealed a notable increase in research activity on the TME of ovarian cancer, particularly during the period from 2019 to 2022. The United States and China were the most active countries in this field, and the University of Texas System was the scientific research institution with the largest number of articles. Cancer Research and Clinical Cancer Research were the most cited journals. Weiping Zou and Anil K Sood were recognized as the most cited researchers. The study systematically identified key research hotspots within this field, encompassing immune checkpoint inhibitors, single-cell RNA sequencing technology, the TME heterogeneity, the TGFβ signaling pathway, and the impact of PARP inhibitors on the tumor immune microenvironment (TIME).
    Conclusion: This study provides a valuable reference for the evolution and prospective directions of TME research in ovarian cancer, underscoring the critical importance of a comprehensive understanding of the TME to enhance treatment strategies for ovarian cancer.
    Keywords:  bibliometrics; ovarian cancer; research hotspots; research trends; tumor microenvironment; visualization
    DOI:  https://doi.org/10.3389/fimmu.2025.1605695
  42. Comput Biol Chem. 2025 Sep 09. pii: S1476-9271(25)00341-X. [Epub ahead of print]120(Pt 1): 108680
    Exploring biological research hotspots through a novel bibliometric approach.
    Shan Chen, Junsha Wang, Xinyu Huang, Kailin Chen, Limei Fu, Yuanzhao Ding.
      Biological research is a crucial field of study, profoundly impacting every aspect of human life. The objective of this study is to utilize an innovative bibliometric analysis method to understand current research hotspots and future trends in biology. This novel bibliometric analysis method, based on the R programming language, offers a completely different approach than traditional VOSviewer, providing a more in-depth analysis. Based on the bibliometric analysis results, this paper also proposes potential future developments, namely, integrating big data with machine learning. By integrating existing data into large databases and then training models, this approach can provide deep insights and accurate predictions for the future.
    Keywords:  Bibliometric study; Big data; Biology; Machine learning; R Package
    DOI:  https://doi.org/10.1016/j.compbiolchem.2025.108680
  43. Cureus. 2025 Aug;17(8): e89942
    A Bibliometric Analysis of Immunological Research in Primary Biliary Cholangitis: Global Patterns and Emerging Directions.
    Wentao Zhang, Bing Xu, Danfeng Ren, Yingren Zhao, Jinfeng Liu.
      Despite the significant advances in autoimmune research, primary biliary cholangitis (PBC) remains a clinically challenging and incompletely understood disease, with its exact causes and molecular mechanisms still elusive. The immune system exerts crucial pathogenic effects throughout PBC development, from initial biliary injury to end-stage cirrhosis. Despite decades of investigation, the current understanding of PBC pathogenesis remains fragmented, particularly regarding the immune mechanisms involved in the disease. To address this, we conducted a bibliometric analysis of immunological studies on PBC, utilizing data from the Web of Science database, which covers publications from 1970 to 2023, and identified 2,042 studies for analysis. The findings revealed a steady increase in research activity over the decades. Our analysis revealed a consistent upward trend in PBC-related studies, with an average growth rate of 14.45%. The United States leads as the top contributing country, with the University of California, Davis, and Dr. Gershwin M. Eric emerging as the most influential institution and author, respectively. Among journals, Hepatology is the most prominent, with the highest number of citations and co-citations. Recent advances in diagnostic techniques have substantially improved early detection rates of PBC while dramatically decreasing instances of disease decompensation. This paradigm shift has redirected research priorities toward innovative disease management strategies and patient-centered care approaches. This synthesis presents a unified framework for PBC immunopathogenesis, pinpointing critical knowledge gaps and high-potential research trajectories in disease mechanisms and therapeutic innovation.
    Keywords:  bibliometric analysis; bile acids; immune cells; predictive factors; primary biliary cholangitis
    DOI:  https://doi.org/10.7759/cureus.89942
  44. Ann Ital Chir. 2025 Jul 23. 96(9): 1254-1267
    Global Research Trends and Disparities in Cesarean Section-Related Placenta Accreta Spectrum Disorders: A 93-Year Bibliometric Analysis.
    Qing Huang, Yangfeng Xu, Huiping Li, Ting Zhang.
       AIM: Placenta accreta spectrum disorders (PASD) complicate 1 in 2500 deliveries globally, with incidence rising parallel to a 31% increase in cesarean section (CS) rates over three decades. This bibliometric analysis maps 93 years (1933-2025) of CS-PASD research to identify collaboration gaps and prioritize solutions focused on equity.
    METHODS: Articles concerning CS and PASD from 1933 to early 2025 were retrieved from the Web of Science Core Collection. A bibliometric analysis was conducted using VOSviewer, CiteSpace, and R- Bibliometrix to evaluate co-authorship networks, institutional collaborations, and keyword co-occurrence patterns.
    RESULTS: A total of 758 articles were identified, with an average annual growth rate of 2.64%. Contributions came from 57 countries/regions and involved 3814 authors, with the USA and UK leading in citations. Notable institutions included Sichuan University and University of California System. Key journals included the American Journal of Obstetrics and Gynecology and Obstetrics & Gynecology. Key contributors included Takahashi Hironori (9 articles) and Liu Xinghui (highest collaboration frequency, Total Link Strength (TLS) = 24), with emerging networks centered on Chinese and European institutions. Key keywords included "placenta accreta spectrum", "prior cesarean section", "ultrasound diagnosis", and "Fédération Internationale de Gynécologie et d'Obstétrique (FIGO) guidelines", reflecting major research themes in PASD management. Trends highlighted advancements in diagnostic standardization, such as artificial intelligence (AI)-enhanced placental magnetic resonance imaging (MRI), multidisciplinary care models, and AI-driven risk stratification. Additionally, disparities in global resource allocation underscored the need for equitable healthcare interventions.
    CONCLUSIONS: Research on CS-PASD has evolved into a multidisciplinary issue, facilitated by advancements in imaging technologies and collaborative efforts. Future investigations should prioritize the integration of AI diagnostics, the development of cost-effective preventive strategies, and the establishment of standardized protocols to enhance maternal safety and mitigate healthcare inequities.
    Keywords:  FIGO guidelines; bibliometric analysis; cesarean section; multidisciplinary management; peripartum hysterectomy; placenta accreta spectrum disorders; risk stratification; ultrasound diagnosis
    DOI:  https://doi.org/10.62713/aic.4093
  45. Turk Arch Otorhinolaryngol. 2025 Sep 19.
    From Thesis to Publication: Publication Rates and Determinants of Otorhinolaryngology Residency Theses in Türkiye (2016-2020).
    Aykut Yankuncu, Çağrı Becerik.
       Objective: To identify the publication rates and determinants of otorhinolaryngology/ear, nose and throat (ENT) residency theses completed in Türkiye between 2016 and 2020.
    Methods: A retrospective review was conducted on 460 ENT theses listed in the National Thesis Center database of the Council of Higher Education. Publication statuses were determined through searches in PubMed, Web of Science, TRDizin and Google Scholar on May 10, 2025, using thesis titles, author names, and keywords. Variables including subspecialty, study design, completion year, institution type, city, and journal indexation were recorded.
    Results: Among 460 theses, 43.5% were published, with an average time to publication of 3.2±1.7 years. Institution type and city did not significantly affect publication rates (p=0.566, p=0.088). Pediatric ENT (63.6%) and head and neck surgery (57.7%) showed significantly higher publication rates (p=0.019). Cadaveric (66.7%), animal (50%), and prospective (43.5%) studies had higher publication rates than average, but without statistical significance (p=0.292). Most published theses (72%) appeared in international journals and 134 were indexed in the Science Citation Index Expanded.
    Conclusion: This study showed that 43.5% of ENT residency theses in Türkiye were published, with an average publication time of 3.2 years. No significant institutional differences were observed. Higher publication rates were noted in pediatric and head and neck surgery theses. Supporting residents in disseminating their research remains essential for fostering academic development.
    Keywords:  Otorhinolaryngology; academic dissertation; bibliometrics; medical education; scientific publication
    DOI:  https://doi.org/10.4274/tao.2025.2025-7-18
  46. Zhonghua Liu Xing Bing Xue Za Zhi. 2025 Sep 10. 46(9): 1650-1659
    [Artificial intelligence in epidemiology: a decade-long bibliometric analysis].
    C H Wang, Z M Yang, W Shi, C W Xi, S C Si, L L Wu, J Du, S F Wang, S Y Zhan.
      Objective: To describe the hotspots and application trends of artificial intelligence (AI) in epidemiology in the past decade and analyze its advantages and challenges. Methods: The literatures with AI and epidemiology related keywords were systematically retrieved from Web of Science and China National Knowledge Infrastructure from 2014 to 2024. CiteSpace was used for bibliometric analysis of publication volume, keyword co-occurrence, clustering, emergence and cited literature co-occurrence analysis. Results: A total of 5 389 English papers and 1 659 Chinese papers were included, showing an increasing publication trend. High-frequency Chinese keywords included prediction, influencing factor, and machine learning, while English keywords frequently used were machine learning, prediction, and artificial intelligence. The Chinese keywords formed 14 clusters such as epidemiological characteristic, dietary pattern, and elderly individual, and the English keywords formed 21 clusters including prediction model, risk factor, and adult. In international studies, health policy, COVID-19, and digital health were the emerging frontier keywords. Eleven core papers were selected, covering key areas like traffic accident risk assessment, public health big data application, and deep learning in medical diagnosis. Conclusions: This study systematically summarized the research hotspots and development trends of AI applications in epidemiology over the past decade by using bibliometric methods, which indicated that current AI-based epidemiological studies are still in the exploratory phase, with the coexisting of both advantages and challenges. Continued attention should be paid to the future development of this field.
    DOI:  https://doi.org/10.3760/cma.j.cn112338-20250118-00049
  47. Ecancermedicalscience. 2025 ;19 1943
    The state of global palliative care research: a bibliometric study.
    Mevhibe B Hocaoglu, Grant Lewison, Hamish Sharp, Tania Pastrana, Eve Namisango, James Cleary, Barbara Hasties, Eric Kabisa, Helena Musau, Kathryn Spangenberg, Paola Ruiz, Zipporah Ali, Mertixell Mallafre-Larrosa, Alfredo Polo, Julie Torode, Ajay Aggarwal, Richard Sullivan.
       Background: Palliative care research (PCR) plays a critical role in improving the quality of life for patients with serious illness, yet its global distribution and focus areas remain uneven. Understanding the trends and impact of PCR over the past decade can inform future research priorities and policy development.
    Methods: We conducted a bibliometric analysis of publications indexed in the Web of Science related to PCR between 2013 and 2022. Articles were identified using a comprehensive filter based on title keywords and specialist journals, and were further classified by research domain, disease area and study type.
    Results: The volume of PCR publications has grown over the past decade, increasing from 0.29% of all biomedical research outputs in 2013-14 to 0.62% in 2021-22. Countries with the highest levels of PCR output-primarily European and Anglophone nations-also ranked highly on the Economist Intelligence Unit's Quality of Death Index. Using eight different bibliometric indicators, we assessed the impact of countries' PCR outputs; while rankings varied by metric, European countries such as the Netherlands, Belgium, the United Kingdom and Ireland consistently performed strongly. Cancer emerged as the dominant disease focus, although many studies also addressed co-morbid conditions including COVID-19 in recent years. A significant proportion of PCR also examined the impact of illness on patients' families and caregivers.
    Conclusion: The findings highlight cancer as a major area of focus and need within PCR. However, research outputs remain disproportionately concentrated in high-income countries, revealing a persistent gap in low- and middle-income settings.
    Recommendations: To address the growing global burden of cancer and serious illness, palliative care should be integrated as a core component of national cancer control plans. This integration must be supported by a targeted research agenda that emphasises implementation and scaling of palliative care models, particularly in low- and middle-income countries. Policymakers and research funders should prioritise holistic, patient-centred approaches and ensure that impact measurement reflects meaningful outcomes for patients and families.
    Keywords:  citation impact; global health; holistic care; palliative care; research productivity
    DOI:  https://doi.org/10.3332/ecancer.2025.1943
  48. Ann Thorac Surg. 2025 Sep 12. pii: S0003-4975(25)00872-0. [Epub ahead of print]
    The Society of Thoracic Surgeons "Looking to the Future" Program: Impact on Resident Academic Productivity and Society Membership.
    Gina Zhu, Dianela Perdomo, Ifeanyi Chinedozi, Stephen C Yang.
       BACKGROUND: The Society of Thoracic Surgeons (STS) Looking to the Future Scholarship has sought to promote mentorship, research participation, and professional development for prospective cardiothoracic surgery (CTS) trainees, particularly those with limited exposure. This report assesses the scholarship's impact on resident applicants' career outcomes, academic productivity, and society membership.
    METHODS: Resident recipients from 2007-2016 who completed CTS training were matched by application year, gender, and training stage to non-recipients. Current positions and active or past STS membership were recorded from online webpages. Scopus was used to record the h-index, number of publications, and number of citations for applicants who completed CTS training.
    RESULTS: 236 resident recipients and 430 non-recipients were identified, of which 137 and 259 had completed training, respectively. Among female applicants, the percentage in CTS was greater among recipients compared to non-recipients (n=46, 89% vs. n=78, 58%, P<.001). There was no significant difference in past or current STS membership between recipients and non-recipients (67% vs 78%, P=.06). A greater percentage of recipients held STS leadership roles (32% vs. 18%, P=.03). Average h-index (Recipients: 11, Non-recipients: 10, P=.35), number of publications (Recipients: 35, Non-recipients: 37, P=.59), and number of citations (Recipients: 846, Non-recipients: 748, P=.59) did not differ between groups.
    CONCLUSIONS: This scholarship assessment shows increased STS leadership participation among recipients compared to non-recipients, with comparable research productivity between groups. Recipients had limited CTS and academic exposure compared to non-recipients at the time of application, suggesting the program has served to increase academic engagement among this group.
    Keywords:  education; mentorship; scholarship
    DOI:  https://doi.org/10.1016/j.athoracsur.2025.08.042
  49. Front Neurol. 2025 ;16 1606388
    Radiomics and ischemic stroke research: bibliometric insights and visual trends (2004-2024).
    Jiacheng Zhang, Hainan Zhu, Hengzhen Wu, Huabao Xie, Dingyi Lin, Lielie Zhu.
       Background: Ischemic stroke is a leading global cause of death and disability, presenting significant challenges in diagnosis, treatment, and prognosis. Radiomics, an emerging interdisciplinary methodology, employs machine learning to extract high-dimensional features from medical imaging and has demonstrated superior predictive performance in ischemic stroke research. However, the rapidly accumulating publications lack systematic bibliometric synthesis. We therefore conducted a visual bibliometric analysis to map research evolution and emerging trends.
    Methods: This study conducted a bibliometric and visual analysis of ischemic stroke radiomics research from 2004 to 2024 using tools like CiteSpace and VOSviewer. The analysis explored publication trends, research hotspots, and technological advancements, identifying collaborations and key advancements in the field.
    Results: Radiomics research in ischemic stroke has grown exponentially since its inception in 2014, with China and the United States emerging as major contributors. The primary focus has been on AIS, utilizing advanced imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI). Machine learning models, particularly deep learning architectures, are being widely applied for lesion segmentation, risk assessment, and functional prognosis prediction. Despite rapid advancements, challenges persist in standardizing imaging protocols, enhancing interdisciplinary collaborations, and ensuring clinical translation.
    Conclusion: Radiomics is transforming ischemic stroke research by enabling detailed imaging analyses and facilitating data-driven clinical decision-making. Future endeavors should prioritize addressing standardization issues, expanding multicenter collaborations, and developing interpretable models that integrate radiomics with clinical and molecular biomarkers. Such efforts will accelerate the translation of radiomics into routine ischemic stroke care and improve patient outcomes.
    Keywords:  CiteSpace; VOSviewer; bibliometrics; ischemic stroke; radiomics; visualization
    DOI:  https://doi.org/10.3389/fneur.2025.1606388
  50. An Acad Bras Cienc. 2025 ;pii: S0001-37652025000301010. [Epub ahead of print]97(3): e20240726
    Pesticides and non-essential metals in Amazonian aquatic organisms: A Scientometric Overview.
    Ândrocles O Borges, Luan C Imbiriba, Daniel Vitor Santos-Soares, Giulia F A Rodrigues, Matheus DA Silva, Francisco Daniel Migueis DA Silva, Maiby G S Bandeira.
      This study aims to assess the scientific knowledge regarding the impact of pesticides and non-essential metals on freshwater aquatic organisms within the Amazon basin. The investigation encompasses a comprehensive analysis, including: i) temporal patterns; ii) methodological approaches; iii) keywords; iv) geographical distribution; v) academic institutions; vi) studied groups of aquatic organisms; and vii) specific environmental contexts investigated. It was used 203 publications in Web of Science and Scopus databases. A discernible ascending trajectory in publication frequency was observed over time, exhibiting a robust and statistically significant correlation with citation counts. The predominant disciplinary focus was discerned to be Environmental Science. Prevalent keywords encapsulated "Mercury," "Fish," "Amazon", "methylmercury" and "bioaccumulation". Noteworthy scholarly contributions emanated primarily from Brazil, with substantive collaboration of the United States, France, Canada and Bolivia. Among the foremost research entities were Brazilian institutions. Bioindicator selection exhibited a distinct predilection for fishes. The diverse spectrum of aquatic environments scrutinized included rivers, lakes, laboratory settings, and reservoirs. This scientometric analysis not only furnishes insights into the global trajectory of research on pesticides and non-essential metals within Amazonian aquatic ecosystems but also identifies prevailing methodologies, research lacunae, and prospects for future investigations within the Amazon basin.
    DOI:  https://doi.org/10.1590/0001-3765202520240726
  51. Odontology. 2025 Sep 14.
    Analysis of the profile of metric-based reviews published in dentistry and proposal for a standardized guideline: metrics.
    Aurélio de Oliveira Rocha, Lucas Menezes Dos Anjos, Juliana Freire-Maia, Bruno Henriques, Mariane Cardoso, Paulo Antônio Martins Júnior.
      Metric-based reviews have been rapidly growing in dentistry. Analyzing their scientific profile and proposing a design method is essential for ensuring quality. This study aims to analyze the profile of metric-based reviews and establish a reporting guideline for such studies in dentistry. The search for articles was conducted in Scopus in December 2024. The main characteristics of the studies were extracted. Collaborative network maps were created using VOSviewer. A guideline was developed based on the profile of the selected reviews. A total of 683 articles were included in the analysis. A significant highlight was observed for bibliometric reviews (n = 631), followed by altmetric studies (n = 31), which were typically global in nature (n = 497). Most reviews aimed to evaluate the scientific landscape of a specific dental topic (n = 530). The articles were primarily associated with general dentistry (n = 172). Most studies conducted their searches in a single database (n = 530). Bibliometric analyses were predominantly conducted on the Web of Science (n = 248), while altmetric analyses were mainly conducted on Altmetric (n = 31). Brazil was the country with the highest representation (n = 121). The practical guide (METRICS) was developed based on the analysis of the reviews. Metric-based analyses have grown dramatically in recent years in the field of dentistry. These studies were mainly global bibliometric reviews associated with general dentistry, with a significant contribution from Brazilian researchers. The protocol developed is essential for ensuring standardization and higher quality in future analyses.
    Keywords:  Altmetric; Bibliometric; Dentistry; Metrics-based
    DOI:  https://doi.org/10.1007/s10266-025-01208-z
  52. Immunol Med. 2025 Sep 19. 1-21
    Mechanisms of T cell-mediated immune evasion in cervical cancer: a comprehensive bibliometric analysis and future research directions.
    Xue Bai, Hongxia Wang, Qianyu Guo.
      Cervical cancer, a prevalent malignancy caused by high-risk HPV strains, remains a significant challenge due to its ability to evade the immune system, particularly T cell-mediated responses. This study aims to explore the research landscape surrounding T cell-mediated immune evasion in cervical cancer through a comprehensive bibliometric analysis. Using data from the Web of Science Core Collection (2014-2023), we employed VOSviewer, CiteSpace, and the R package "bibliometrics" to conduct co-citation and co-occurrence analyses, identifying key trends, contributors, and research hotspots. Our analysis included 930 studies from 68 countries, with China, the USA, and the Netherlands as the leading contributors. Emerging topics include immune checkpoint inhibitors, PD-L1, and tumor microenvironment modulation, highlighting the growing focus on immune-based therapies. This study provides valuable insights into the role of T cells in cervical cancer progression and offers a foundation for future research directions aimed at improving immunotherapy outcomes in cervical cancer patients.
    Keywords:  PD-1/PD-L1 pathway5; T cells1; cervical cancer3; immune evasion2; immunotherapy4
    DOI:  https://doi.org/10.1080/25785826.2025.2560214
  53. Acta Psychol (Amst). 2025 Sep 15. pii: S0001-6918(25)00880-7. [Epub ahead of print]260 105567
    Work-life balance in higher education: A review based on bibliographic coupling analysis.
    Tran Thi Siem, Ho Thi Thao Nguyen, Phan Tan Luc.
      This study provides an overview of higher education's work-life balance (WLB) structure by employing bibliographic coupling analysis to explore key research clusters. Data was collected from the Web of Science database, resulting in 203 publications retained for analysis, with VOS viewer software used to construct and visualize the bibliographic coupling network. The bibliometric analysis revealed eight clusters, notably including "The Impact of COVID-19 on Work-Life Balance and Well-being in Higher Education", "Impact of Work-Life Balance on Work Outcomes", "The Career Paths of Academics", and "Institutional and Personal Pressures Affecting Academic WLB". Despite existing bibliographic analyses of WLB policy across multiple disciplines and WLB dynamics during the pandemic, a dedicated in-depth analysis mapping the WLB research landscape specifically within the higher education sector has been notably absent. Therefore, this study uniquely contributes by offering a comprehensive overview of the WLB structure in higher education, identifying key research groups, and suggesting future directions, which will primarily benefit academic institutions, policymakers, and educators. Future research on academic well-being and WLB should adopt longitudinal and intersectional approaches, exploring experiences across diverse populations defined by gender, race, and career stage. Key areas include examining technology's impact, developing tailored mental health interventions and robust institutional support mechanisms, and emphasizing comparative analyses across global contexts as well as exploring generational differences in perceptions of WLB. In addition, refining theoretical frameworks for emerging work models is essential to inform equitable and sustainable policies.
    Keywords:  Bibliographic coupling; Bibliometric; Higher education; VOS viewer; Work-life balance
    DOI:  https://doi.org/10.1016/j.actpsy.2025.105567
  54. Int J Surg. 2025 Sep 12.
    The convergence of immunotherapy and surgery: a comprehensive bibliographic analysis leveraging large language models.
    Jiahui Xiang, Junwei Zhang, Dianzhe Tian, Lei Zhang, Yiyao Xu, Xin Lu.
       BACKGROUND: The utilization of immunotherapeutic approaches in the operable settings have demonstrated promising efficacy and safety in preventing postoperative recurrence and improving patients' survival across various cancer types. To delineate the developmental trajectory and future directions of this specialized field, a comprehensive bibliometric analysis is necessary.
    MATERIALS AND METHODS: A total of 541 high-quality publications focusing on the convergence of immunotherapy and surgery were manually extracted from 6,973 papers published between 2015 and 2024 in the Web of Science Core Collection. Traditional bibliometric analysis was conducted utilizing VOSviewer, CiteSpace, and the Bibliometrix R package to identify contributions at national and institutional levels, journal impact, and pivotal keywords. The integration of large language models (LLMs)-driven text embeddings alongside BERTopic-based semantic modeling enabled a comprehensive synthesis of themes and illuminated prospective directions within this field. Furthermore, advanced dimensionality reduction techniques such as UMAP and t-SNE were employed to visualize clustering outcomes and interpret the semantic distances among these academic publications.
    RESULTS: The distribution of publications over time indicated a growing interest in the integration of immunotherapy and surgery. China and the United States were leaders in publication volume and academic influence, while the "Journal for Immunotherapy of Cancer" stand out as a key resource. Clustering based on LLMs-driven embedding vectors identified five categories of papers, the thematic classification of which was presented in a hierarchical structure. Further in-depth analysis revealed the optimal utilization patterns of immune checkpoint inhibitors (ICIs) vary across different cancer types. Neoadjuvant ICIs are effective for triple negative breast cancer, non-small cell lung cancer, melanoma, and deficient mismatch repair colon cancer. Adjuvant mRNA vaccines are viable for pancreatic ductal adenocarcinoma and melanoma, while oncolytic virus demonstrate enhanced efficacy alongside manageable toxicity in perioperative settings.
    CONCLUSION: This bibliometric analysis, which integrates LLMs-driven modeling with manual thematic synthesis, has elucidated the developmental trajectory and future directions of the field concerning the combination of immunotherapy and surgery.
    Keywords:  bERTopic; bibliometric; immunotherapy; large language models; surgery
    DOI:  https://doi.org/10.1097/JS9.0000000000003231
  55. F1000Res. 2025 ;14 145
    SPAR-4 and sustainable operations: A meta-analytic breakthrough.
    Madhu Arora, Vasim Ahmad, Arpit Walia, Saurav Negi, Jatinderkumar R Saini, Rupesh Kumar.
       Background: In a deglobalized world, operations are a major competitive force for industrialized economies, especially with the inclusion of the latest technologies. This study aims to meticulously examine the literature on analytics, operations and sustainability through assessment of contributing publications, nations, authors, and keywords that can provide new perspectives for the research domain.
    Methods: The SPAR-4 (Smart Prediction and Reporting for Analysis and Research) model when integrated with bibliometric analysis helps follow a systematic approach to conducting research review along with meta-analysis to evaluate important articles, trends, and major contributors in these fields. This study therefore underlines the changing significance of sustainability in operational strategies, assesses the interconnectedness of research areas, and identifies emerging themes.
    Results: The findings highlight the increasing significance of analytics in tackling sustainability issues, providing industry and academia with information to match operational procedures with sustainable development objectives.
    Conclusions: By deepening grasp of the research landscape, this study supports strategic decision-making for sustained competitive operational excellence for the policy makers and strategic decision-makers.
    Keywords:  Analytics; Bibliometrics; Meta-analysis; Operations; SPAR-4; Sustainability; Technology
    DOI:  https://doi.org/10.12688/f1000research.160388.2
  56. Cureus. 2025 Aug;17(8): e90388
    PubMed-Indexed Productivity of Matched Orthopedic Surgery Applicants Before and After Step 1 Scoring Transition.
    Yagni Patel, Akshar Patel, Arjun Bhatt, Abdullah B Chandasir, Thomas Drake, Ali Abolhassani, Jackson McClain, Asim Ahmed, Uzondu Agochukwu.
       INTRODUCTION:  While research productivity surrounding the Step 1 scoring transition has been assessed, the specific impact on verified PubMed-indexed publications (PMIDs) has not been assessed. No study has quantified what proportion of self-reported research items reported in National Resident Match Program (NRMP) data is actually PubMed-indexed. Addressing these gaps is essential to understanding how research output is evolving and represented in residency applications.
    OBJECTIVES: The objective of this study is to evaluate how the Step 1 pass/fail transition affected pre-residency research output among matched orthopedic surgery residents and whether medical school National Institutes of Health (NIH) funding independently predicts research productivity.
    METHODS: This retrospective cohort study included 1,441 matched orthopedic surgery residents across two cycles: pre-transition (class of 2026) and post-transition (class of 2029). PubMed was used to identify total, first-author, in-specialty publications, and citation rates. Residents were categorized by medical school NIH funding and program tier. Mann-Whitney U tests compared groups, and negative binomial regression identified independent predictors.
    RESULTS: Research productivity increased significantly following the Step 1 transition. Post-transition residents published nearly twice as many PubMed-indexed articles as their pre-transition peers (IRR = 2.13, p < 0.001), with similar gains in first-author and in-specialty work. NIH funding and program tier were independent predictors across all metrics. Citation rates did not differ. Only 12-15% of reported abstracts, presentations, and publications (APPs) were PMIDs.
    CONCLUSION: This study provides the first validated analysis of PubMed-indexed research output before and after the Step 1 transition. These findings can inform future studies across specialties as research output becomes increasingly central to residency selection.
    Keywords:  orthopedic surgery; publications; pubmed; research productivity; residency
    DOI:  https://doi.org/10.7759/cureus.90388
  57. J Thorac Dis. 2025 Aug 31. 17(8): 5417-5428
    The global status and trends of local ablation for lung malignancies: a bibliometric and visualization analysis.
    Yi-Nuo Wei, Ya-Shi Yin, Hou-Fa Ning, Xi-Zhen Wang, Wei-Guang Shao, Peng Dong, Ke-De Yuan, Guang-Zhi Wang.
       Background: Lung cancer remains the leading cause of cancer-related mortality globally. In recent years, the advent of image-guided percutaneous ablation techniques has led to a gradual increase in the application of local ablation therapy (LAT) for both primary and secondary lung malignancies. Despite this progress, a systematic summary of the research trends and current clinical applications in this field is still lacking. Bibliometric analysis, a powerful statistical and visualization tool, can provide valuable insights into the evolving landscape of this therapeutic modality. This study aimed to examine the utilization of LAT for both primary and metastatic lung cancers, while exploring current research focuses and potential future directions in this field.
    Methods: By leveraging the Web of Science (WOS) core collection database, this study employed VOSviewer and bibliometrix tools to analyze current research trends and future development directions of LAT for both primary and metastatic lung cancers.
    Results: The study findings revealed a steady increase in annual publication volume between 2008 and 2023. Research output was predominantly contributed by China, the United States, and Japan. Among institutions, Memorial Sloan Kettering Cancer Center led in publication count, with Shandong University and Okayama University following closely. The Journal of Vascular and Interventional Radiology emerged as the most prominent journal in this research domain. Through keyword analysis, five major research clusters were identified: (I) therapeutic technologies for lung cancer; (II) ablation methodologies for non-small cell lung cancer (NSCLC); (III) interventional approaches and strategies for lung cancer; (IV) ablation techniques for metastatic lung tumors; and (V) innovative technologies in lung cancer treatment.
    Conclusions: Local ablation combined with other treatments are expected to improve therapeutic effects and become future trend in the treatment of lung malignancies.
    Keywords:  Lung; ablation; bibliometric; cancer
    DOI:  https://doi.org/10.21037/jtd-2025-287
  58. Front Vet Sci. 2025 ;12 1627981
    One welfare: bibliometric review of world literature.
    Sara Platto, Simona Normando, Agathe Serres, Xavier Manteca, Deborah Temple.
      The One Welfare framework emphasizes the interconnection between animal, human, and environmental well-being, extending One Health principles to address broader welfare dimensions. Despite its relevance, One Welfare remains underexplored. This study investigates global research trends and thematic priorities in One Welfare literature published from 2013 to 2024. A bibliometric review was conducted using PubMed, Elsevier, Springer, Web of Science, Scopus, and CABI databases. A literature search was conducted using keywords translated into five of the world's most widely spoken languages: Hindi, Chinese, Spanish, English, and French. A total of 111 publications were identified and categorized into four main domains-Policy, Governance, Economy (PGE); Applied Human-Animal Sciences (AHAS); Societal, Economic, Environmental Dimensions (SEED); and Human-Animal Bond and Mental Health (HAB-MH)-and eight subcategories: Legal Framework and Economy (LFE); Education and Philosophy (EP); Sustainable Resource Management (SRM); Traditional Knowledge and Societal Impact (TKSI); Animal Management (AM); Human-Animal Diseases (HAD); Human-Animal Interaction (HAI); and Psychology (PSY). The analysis also considered animal types-companion animals (CA), production animals (PA), wild animals (WA), working/sport animals (WS), and general (GE)-and divided data into two time periods (2013-2018, 2019-2024). Most publications (78) emerged after 2018, with Animal Management (AM) subcategory as the dominant theme, particularly in relation to PA reflecting their significance in food security. Human-Animal Interaction (HAI) was the second most represented theme among the subcategories, particularly in relation to CA underlining their significance in human lives. Conversely, wild animals (WA), climate change, and working/sport animals (WS) remain underrepresented. Education and Philosophy was the least addressed subcategory, exposing a critical gap in integrating One Welfare into veterinary and animal science education. Given the limited number of publications identified over the past 11 years, there is a clear need to promote increased interdisciplinary research, policy development, and educational reform to fully implement the One Welfare framework and align it with global sustainability goals.
    Keywords:  animal management; animal welfare; environmental welfare; human welfare; human-animal interaction; one welfare
    DOI:  https://doi.org/10.3389/fvets.2025.1627981
  59. Int J Surg. 2025 Sep 17.
    Bibliometric insights into breast cancer organoid chips: trends and emerging areas - a commentary.
    Zengwei Kou.
      
    DOI:  https://doi.org/10.1097/JS9.0000000000003512
  60. Arch Razi Inst. 2025 Feb;80(1): 11-18
    Manufacturing Technology and Effectiveness of Corona Vaccines: A Bibliometric Review.
    S Rashki Ghalenoo, K Azhdari, F Khosravi, S Hamzeh, Z Bayat, M Talebi Mehrdar, N Dahmardeh, M Hassanshahian.
      The etiology of "Covid-19," a respiratory illness, was first identified in late 2019 as the causative agent of the novel coronavirus. The conclusion of the pandemic was declared in 2023, and during this interval, a range of vaccines employing diverse strategies were developed. The effectiveness and other immunological characteristics of these vaccines have been thoroughly evaluated. The publication of documents related to the vaccines has persisted even after the conclusion of the pandemic. This study was conducted to investigate the research process and published documents related to the manufacturing technology and effectiveness of the vaccines. The documents published in the Scopus database in early 2024 were collected using restrictions in four subject areas and the English language. The bibliographic analysis was conducted using the Bibliometrix package in Rstudio and VOSviewer. A total of 2,810 documents were reviewed. The majority of these documents were articles and reviews, with 2,320 and 394 documents falling into these categories, respectively. Peptides and capillary electrophoresis emerged as prominent subjects in 2024. Furthermore, elasomeran, covilo, and tozinameran emerged as more recent than other keywords based on their temporal distribution. This study examines the documents published in one of the most reliable databases of vaccines against the novel strain of severe acute respiratory syndrome (SARS-CoV-2) from a bibliometric perspective. The findings of this study are expected to provide valuable insights and direction for future research initiatives, opportunities, and challenges in this field.
    Keywords:   2019-nCov; Bibliometric; COVID-19; SARS-CoV-2; Vaccine
    DOI:  https://doi.org/10.32592/ARI.2025.80.1.11
  61. OTO Open. 2025 Jul-Sep;9(3):9(3): e70158
    Evaluating the Clarity of Retractions and the Spread of Misinformation in Otolaryngology.
    Andrew R Cunningham, Adam J Kimple, M Sean Peach.
       Objective: To evaluate the clarity of retraction notices in otolaryngology journals and examine the relationship between retraction notice clarity and improper post-retraction citations.
    Study Design: A retrospective analysis of retracted articles in otolaryngology journals from journal inception to August 1, 2024.
    Setting: Articles were selected from leading otolaryngology journals with citation data retrieved from major academic databases.
    Methods: Retracted articles were identified using the Retraction Watch Database. Citation patterns were analyzed through Google Scholar and Scopus. Retraction notices were evaluated for adherence to Committee on Publication Ethics (COPE) guidelines. The study included 80 retracted articles, with 1398 citations in Google Scholar and 714 in Scopus. Primary outcomes included the proportion of retraction notices meeting COPE guidelines and the rate of improper post-retraction citations.
    Results: Retraction notices adhered to COPE guidelines in 52.5% of cases (N = 42). Among 80 retracted articles, only 42.5% were labeled as retracted across all platforms. Alarmingly, 98.2% of citations that occurred after articles were retracted did not acknowledge their retracted status. Clearer retraction notices correlated with fewer improper citations. Proper labeling across all platforms led to a 52.89% reduction in citation rates, whereas any missing labels resulted in only a 28.72% reduction.
    Conclusion: Clarity in retraction notices significantly impacts improper citation rates. Standardized, prominently displayed retraction notices adhering to ethical guidelines can reduce misinformation. Strengthening retraction practices and improving database integration are recommended to enhance the effectiveness of retractions and maintain scientific integrity.
    Keywords:  ethical publishing; ethics; misinformation; otolaryngology; retractions
    DOI:  https://doi.org/10.1002/oto2.70158
  62. Aging Dis. 2025 Sep 11.
    The Clinical Relevance of FTO as a Demethylase Beyond Cancer: Molecular Mechanisms and Therapeutic Opportunities.
    Cun-Yang Guo, Yi-Fei Du, Hui-Cong Yan, Xin-Ming Fan, Fang-Qi Tian, Ping Xu.
      The fat mass and obesity-associated (FTO) gene is a key gene that has been linked to obesity and metabolic regulation. FTO single nucleotide polymorphisms (SNPs) significantly contribute to the pathophysiology of various multisystem diseases via epigenetic mechanisms. Although FTO has been extensively reviewed in the context of cancer, a comprehensive evaluation of its role in non-malignant diseases is currently lacking. This review aimed to systematically assess the molecular functions of FTO in the context of diseases other than cancer based on recent insights from the literature. Relevant studies were retrieved by systematically searching the PubMed database to explore the mechanisms through which FTO acts as a mediator of demethylation, its biological activities, and its functional roles in a spectrum of non-oncologic diseases. To explore pharmacological interactions, AutoDockTools 1.5.7 was used to simulate binding interactions between FTO and conventional therapeutic agents. Additionally, we conducted a bibliometric analysis using VOSviewer to visualize the frequency and co-occurrence of FTO-related terms, thereby helping to map research trends and knowledge gaps in the field. FTO regulates gene expression by modulating RNA methylation, particularly through the demethylation of N6-methyladenosine (m6A), thereby influencing RNA splicing, stability, and translation. This regulatory activity plays a major role in processes such as inflammation and fibrosis. Dysregulation of FTO has been implicated in several non-malignant diseases, including metabolic disorders, neurological diseases, and cardiovascular conditions. Computational docking studies showed that FTO exhibited strong binding affinity with two drugs and moderate affinity with eight others. Bibliometric analysis revealed high-frequency keywords and visualized research hotspots pertaining to FTO, providing valuable insight into current areas of scientific interest and potential future directions of study. FTO functions as a key epigenetic regulator in non-cancerous diseases and represents a promising biomarker and therapeutic target. Our findings underscore the importance of FTO-drug interactions and suggest that small-molecule FTO modulators may hold therapeutic value for managing a variety of non-oncologic conditions.
    DOI:  https://doi.org/10.14336/AD.2025.0916
  63. Aesthetic Plast Surg. 2025 Sep 18.
    Letter to The Rise of Intelligent Plastic Surgery: A 10-Year Bibliometric Journey Through AI Applications, Challenges, and Transformative Potential.
    Rong Zhang.
      This correspondence appraises "The Rise of Intelligent Plastic Surgery: A 10-Year Bibliometric Journey Through AI Applications, Challenges, and Transformative Potential." First, apparent "explosive" growth may reflect hype cycles, duplication, and editorial dynamics; impact should be triangulated with field-weighted citation impact, citation half-life, and distributions of study designs, including rates of external validation. Second, topic clusters derived from VOSviewer/CiteSpace risk conflating lexical proximity with practical centrality; calibration with expert Delphi panels and structured content analyses is needed to verify whether detected "hotspots"-shaped surgical decision making. Third, despite enthusiasm for workflow integration, many surgical AI models remain proof of concept without prospective, real-world evaluation, external validation, or post-deployment surveillance, raising concerns about generalizability and bias. Overall, the reviewed article offers a valuable quantitative foundation. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
    DOI:  https://doi.org/10.1007/s00266-025-05261-5
  64. Cureus. 2025 Aug;17(8): e90105
    Increasing Female Representation Among Presenters at the Arthroscopy Association of North America Annual Meetings From 2015 to 2023.
    Edward J Modica, Allison Lewis, Kathryn Persin, Joshua Gruber, Brandon Klein, Randy Cohn, Nicholas A Sgaglione.
      Purpose The purpose of this study was to analyze the representation of female presenters across various roles at the Arthroscopy Association of North America (AANA) annual meetings held between 2015 and 2023. Methods Conference programs from the 2015-2023 AANA annual meetings were reviewed. Meeting presenters were categorized by presenter gender (male and female) and role type (academic or invited). Academic roles were subdivided into paper presentation moderators and paper presentations. Invited roles were further subdivided into symposium moderators, symposium lecturers, panel moderators, and panel members. The content presented was categorized into eight areas: shoulder, elbow, hand, hip, knee, foot and ankle, biologics, and presentations encompassing multiple categories. Female representation among roles and content categories was analyzed using means, proportions, and statistical tests such as two-tailed z-tests and the Pearson correlation coefficient. A p-value <0.05 was considered significant. All statistics were performed on Microsoft Excel (Microsoft Corporation, Redmond, WA). Results There were 1562 total presenters from 2015 to 2023. Overall, there was an average of 22 female presenters each year, with the highest number of female presenters in 2022 (n = 49). The proportion of female presenters over the study period increased (p < 0.01). While there was no trend in the proportion of female presenters in academic roles (r = 0.20, p = 0.66), there was an increase in the proportion of female presenters in invited roles (r = 0.99, p < 0.01). Among academic roles, there was an increase in female representation among paper presentation moderators (r = 0.93, p < 0.01) and panel members (r = 0.97, p < 0.01). In addition, there was increasing female representation among presentations on the knee (r = 0.83, p = 0.02), biologics (r = 0.83, p = 0.04), and topics encompassing multiple categories (r = 0.89, p < 0.01). Conclusion This study highlights a significant increase in female representation among presenters at the AANA annual meetings from 2015 to 2023, particularly in invited roles and certain content categories like knee, biologics, and multi-category presentations. Collaborations with the Ruth Jackson Orthopaedic Society (RJOS) and the FORUM have had a positive impact on female representation. The increasing trend suggests that ongoing diversity initiatives by AANA, such as the Diversity & Inclusion Task Force, may be contributing to this progress.
    Keywords:  annual meeting; female orthopedic surgeon; gender representation; orthopedic sports medicine; orthopedic sugery
    DOI:  https://doi.org/10.7759/cureus.90105
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