bims-evares Biomed News
on Evaluation of research
Issue of 2025–10–05
fifty-one papers selected by
Thomas Krichel, Open Library Society



  1. Orthop Rev (Pavia). 2025 ;17 144737
       Background: Osteogenesis Imperfecta (OI) is a rare genetic bone disorder that has attracted increasing scientific attention. Bibliometric analysis offers insights into the intellectual structure and evolution of this field. This study aimed to identify and evaluate the most highly cited articles on OI to highlight influential contributors, leading journals, and major research trends.
    Methods: A bibliometric search was conducted in the Web of Science Core Collection using the terms "Osteogenesis Imperfecta" and "Brittle Bone Disease." The search was restricted to English- language original and review articles published between 2000 and 2024. The 50 most cited articles were selected and analyzed based on citation metrics, journal impact factors, author contributions, institutional affiliations, and collaboration patterns. Statistical analyses were performed using SPSS version 25.0.
    Results: The United States produced the highest number of publications, followed by the United Kingdom and Germany. The most cited article, published by Rauch et al. (2004), received 950 citations. The Journal of Bone and Mineral Research and The American Journal of Human Genetics were the most prolific journals in this domain. Observational studies and genetic investigations dominated the top-cited works. Collaboration networks revealed strong interconnections among North American and European institutions, while keyword analysis highlighted growing research interest in gene therapy, molecular diagnostics, and precision medicine.
    Conclusion: This bibliometric analysis identified the most influential contributions in OI research, underscoring the role of key authors, journals, and international collaborations. It also revealed major trends in genetic and clinical studies while highlighting emerging areas such as gene therapy and precision medicine as promising directions for future research.
    Keywords:  Bibliometrics; bone diseases; collagen type I; genetic diseases; osteogenesis imperfecta; rare diseases
    DOI:  https://doi.org/10.52965/001c.144737
  2. J Craniofac Surg. 2025 Oct 02.
       OBJECTIVES: This study aims to conduct a comprehensive bibliometric evaluation of the Journal of Craniofacial Surgery based on the Journal Citation Reports (JCR) 2025 data, and to assess its current standing and performance trends within the "Surgery" category.
    METHODS: The analysis was carried out using bibliometric indicators published by Clarivate Analytics in JCR 2025. Key metrics such as the 2024 impact factor, total citations, open access ratio, and citable item percentage were extracted and compared with the journal's data from previous years to evaluate longitudinal changes.
    RESULTS: In 2024, the Journal of Craniofacial Surgery had an Impact Factor of 1.0 and an Impact Factor excluding self-citations of 0.9. It ranked 221st out of 312 journals in the "Surgery" category, positioning it in the third quartile (Q3). The journal achieved a record-high total citation count of 12,617. The proportion of open-access articles was relatively low at 6.64%, whereas the percentage of citable items was remarkably high at 99.76%.
    CONCLUSIONS: Although currently in the third quartile, the journal shows a positive trend in its impact factor ranking over recent years. Increasing open-access publications and promoting editorials and letters could enhance its citation potential and bibliometric visibility. These strategies may support the journal's academic growth and elevate its position within international surgical literature.
    Keywords:  Bibliometric evaluation; citable items; citation indicator; impact factor; journal citation reports; open access; quartile ranking; total citations
    DOI:  https://doi.org/10.1097/SCS.0000000000012053
  3. Int J Womens Health. 2025 ;17 3241-3257
       Background: Egg freezing, also known as oocyte cryopreservation, has become an increasingly significant topic in reproductive medicine. A large number of articles have been published on egg freezing; however, there is still a lack of studies that use visualization methods for bibliometric analysis of relevant literature. This study aimed to explore the publication landscape and identify key trends, influential authors, institutions, and emerging topics in egg freezing research using bibliometric analysis.
    Methods: Publications related to egg freezing from 1979 to 2024 were retrieved from the Web of Science Core Collection. A bibliometric analysis was conducted using Excel 365, VOSviewer (version 1.6.20), CiteSpace (version 6.3.R1), and R 4.3.3 to map co-authorship networks, institutional collaborations, and keyword co-occurrence patterns.
    Results: A total of 1072 publications were identified, with an annual growth rate of 9.68%. The research was contributed by 4392 authors and originated from 1380 institutions in 59 countries. The United States leads with 337 publications accounting for 31.4%, followed by Italy and China. The Royal Women's Hospital in Australia was prominent institutional contributors. Oktay Kutluk. ranks first with 18 articles published and a 18 H-index. The leading journals included Fertility and Sterility, Reproductive Biomedicine Online, and Human Reproduction. Keywords analysis identified three clusters, including egg freezing technology, fertility preservation for young women scheduled for chemotherapy, and social recognition on egg freezing. The most recent occurring keywords were "outcome", "infertility", and "knowledge", indicating core areas of research focus in the future.
    Conclusion: This bibliometric analysis provides valuable insights into the global trends and research hotspots in egg freezing. The research highlights a growing focus on the technological aspects of egg freezing. Moving forward, researchers should focus on the social aspects of egg freezing, such as public education and awareness regarding egg freezing options.
    Keywords:  VOSviewer; bibliometrics; citespace; egg freezing; trends
    DOI:  https://doi.org/10.2147/IJWH.S529541
  4. J Contemp Dent Pract. 2025 Jun 01. 26(6): 615-622
       AIM: Xerostomia and hyposalivation represent a global health burden, affecting a considerable proportion of adults worldwide. This study explored the trends of the scientific production on xerostomia and hyposalivation in the dental literature using the Scopus database.
    METHODOLOGY: Records related to the topic of xerostomia/hyposalivation, published since inception up to December 31, 2024, were searched on May 5, 2025 in Scopus, using the following search terms: "xerostomia," "hyposalivation," "dry mouth,"  "salivary hypofunction," "salivary dysfunction." The following categories were considered: Keywords, documents published on this topic; contributing authors, contributing countries, and contributing organizations; and authors, references, and sources cited. The bibliometric analyses were performed using the Biblioshiny app and VOS Viewer.
    RESULTS: A total of 3,401 documents were published in 232 dental journals, representing 7% of the total publications in all fields and journals. Of these, 2,875 (84.5%) were original articles, and 526 (15.5%) were reviews. These documents were cited 1,00,949 times, with an average of 32.46 citations per document. There were 11,532 authors, the majority of whom were from the developed world. The top journal was "Oral Diseases," with 224 documents, followed by "Oral Oncology," with 177 documents. In terms of research impact, "Journal of Dental Research" ranked first with 56.09 citations per document, followed by "Oral Surgery, Oral Medicine, Oral Pathology" with 51.27. Epstein JB and Scully C were the most prolific authors with 37 and 34 articles each, respectively.
    CONCLUSION: The present study reveals a notable shortage in impactful original research on xerostomia/hyposalivation and highlights selective citation from dental journals.
    CLINICAL SIGNIFICANCE: Xerostomia and hyposalivation represent a symptom and a sign, respectively, of many oral and systemic diseases. Hence, assessment of the relevant scientific production may help highlighting whether the topic received what it deserves or a shortage is still there. How to cite this article: Halboub E. A Bibliometric Analysis of Dental Research on Xerostomia and Hyposalivation. J Contemp Dent Pract 2025;26(6):615-622.
    Keywords:  Dry mouth; Hyposalivation; Saliva Xerostomia.
    DOI:  https://doi.org/10.5005/jp-journals-10024-3909
  5. Indian J Community Med. 2025 Sep-Oct;50(5):50(5): 801-807
       Background: To determine the characteristics of scientific production related to exclusive breastfeeding during the coronavirus disease 2019 (COVID-19) pandemic.
    Materials and Methods: The Scopus database was used to extract metadata. Data on the number of papers and citations were extracted for countries, public and private institutions, journal metrics, most productive authors, and collaboration patterns. VOSviewer was used to visually represent the geographic distribution of global research.
    Results: A total of 1529 papers were obtained from the Scopus database, and 258 papers were excluded. Publications published in 2020 are mainly found in Q2. They also had higher national collaboration (38.90%) and citation rate per publication of 15.7. Among the universities that published scientific papers on the subject, the University of Milan had the highest number of scientific publications according to the top 10 institutions (n = 8), but University College London had a greater impact (n = 258). Similarly, for the review according to article production, the Journal of Human Lactation ranked first with a total of 19 publications. However, The Lancet, despite its position in the ninth place among the top ten countries, had higher citation potential and impact (13.1 and 179, respectively).
    Conclusions: According to the productivity index in the top ten categories of most productive authors, Marienelli stood out the most, unlike Mosca, who had a higher publication influence and citations per publication (219 and 43.8, respectively). Most of the publications on this subject were published in high-impact Q2 journals. Europe (Italy) has been the leading country in this field of research.
    Keywords:  COVID-19; exclusive breastfeeding; scientometric
    DOI:  https://doi.org/10.4103/ijcm.ijcm_153_23
  6. Front Robot AI. 2025 ;12 1605682
      Research organizations and academics often seek to map the development of scientific fields, identify research gaps, and guide the direction of future research. In cobot-related research, the scientific literature consulted does not propose any comprehensive research agenda. Moreover, cobots, industrial robots inherently designed to collaborate with humans, bring with them emerging issues. To solve them, interdisciplinary research is often essential (e.g., combination of engineering, ergonomics and biomechanics expertise to handle safety challenges). This paper proposes an exhaustive study that employs a scoping review and bibliometric analysis to provide a structured macro perspective on the developments, key topics, and trends in cobot research for industry. A total of 2,195 scientific publications were gained from the Web of Science database, and a thorough selection process narrowed them down to 532 papers for comprehensive analysis. Descriptive statistics were employed to analyze bibliometric measures, highlighting publication trends, leading journals, the most productive institutions, engaged countries, influential authors, and prominent research topics. Co-authorship and bibliographic couplings were also examined. Through a co-occurrence analysis of terms, the content and research objectives of the papers were systematically reviewed and lead to a univocal categorization framework. That categorization can support organizations or researchers in different cobotics (collaborative robotics) fields by understanding research developments and trends, identifying collaboration opportunities, selecting suitable publication venues, advancing the theoretical and experimental understanding of automatic collaborative systems, and identifying research directions and predicting the evolution of publication quantity in cobotics.
    Keywords:  bibliometric analysis; cobot; cobotics research trends; collaborative robotics; safety; scoping review
    DOI:  https://doi.org/10.3389/frobt.2025.1605682
  7. Front Neurosci. 2025 ;19 1593188
       Background: The pathogenesis of Alzheimer's disease (AD) is closely linked to astrocytes. This study conducts a bibliometric analysis of data from a wide range of literature in this field to enhance the in-depth understanding of this area.
    Methods: Publications were retrieved from the 2000-2025 Web of Science Core Collection on January 21, 2025. Bibliometrix-package of R, VOSviewer and CiteSpace were used to visualize the research focus and trends.
    Results: The number of citations for the top 100 articles ranged from 208 to 602 citations, with a median of 293 and an average of 331.67 citations per article. The author with the most contributions to this collection was Holtzman David M, who authored 7 papers. Most articles originated in the United States (n = 69), while Washington University was the institution with the most cited manuscripts (n = 40). The Journal of Neuroscience contributed the most publications (n = 15), followed by Nature Neuroscience (n = 7). Co-occurrence of keywords analysis unveiled earlier studies focusing on "messenger RNA," and "IFN-γ," recent studies concentrated on "mechanisms," and "activation." Moreover, keywords burst analysis indicated that the most recent prominent keywords were "Aβ," "activation" and "association" since 2016.
    Conclusion: This is the first bibliometric analysis of the top 100 cited research on astrocytes and AD from 2000 to 2025, underscoring that the United States is a prominent leader in this field. Our analysis highlighted the growing interest in the pathogenesis of astrocytes in AD. Future studies on the mechanisms underlying astrocytes in AD will facilitate further research on new therapeutic approaches.
    Keywords:  Alzheimer’s disease; CiteSpace; VOSviewer; astrocytes; bibliometric analysis
    DOI:  https://doi.org/10.3389/fnins.2025.1593188
  8. Front Psychiatry. 2025 ;16 1659792
      [This corrects the article DOI: 10.3389/fpsyt.2025.1440755.].
    Keywords:  CiteSpace; acceptance and commitment therapy; bibliometric analysis; hotspots; mental disorders
    DOI:  https://doi.org/10.3389/fpsyt.2025.1659792
  9. J Contemp Dent Pract. 2025 Jun 01. 26(6): 608-614
       AIM: This study aimed to explore global research patterns, collaboration networks, and thematic evolution related to mouthwashes and cancer. Through a bibliometric analysis, the study aimed to identify the most influential authors, institutions, and sources, as well as to examine trends within this specific research domain from January 2019 to April 2025.
    MATERIALS AND METHODS: The bibliometric analysis followed the RAMIBS framework. A systematic search was conducted in the Scopus database on April 8, 2025, using a comprehensive formula combining terms related to mouthwash and cancer. From the 357 initially identified records, 92 articles met the inclusion criteria and were analyzed. Data extraction encompassed information on publication type, citations, keywords, authorship, and collaboration. The SciVal and Bibliometrix tools were employed for data analysis, enabling advanced network visualization, thematic mapping, and impact evaluation.
    RESULTS: The analysis revealed a 6.12% annual growth in scientific output, with 92 articles published in 76 sources. Collaboration was significant, involving 581 authors with an average of 7.02 co-authors per document and 11.96% international collaborations. The key contributors included Nagasaki University, Japan, and Saveetha Institute of Medical and Technical Sciences, India. Influential journals such as Supportive Care in Cancer and Journal of Evidence-based Dental Practice were identified. Thematic evolution revealed a shift from broader topics like "oral hygiene" to more specific areas such as "oral mucositis" and "cancer therapy."
    CONCLUSION: Academic output has been steadily growing, there have been changing collaboration patterns within the field, and a small number of institutions and authors are responsible for the majority of work. There are prominent hubs of academia with several "leading" academic journals that, while still diverse in different regions, have huge impacts on productivity and citations across regions. The study, in addition, captures a clear thematic progression from generic oral hygiene topics to more clinical topics such as mucositis and cancer treatment.
    CLINICAL SIGNIFICANCE: This study holds clear clinical significance by shedding light on global trends and key collaborations in the field of mouthwash and cancer research. Its findings can support the development of more evidence-based clinical guidelines, help optimize product use in oncology patients, and encourage preventive strategies against side effects like oral mucositis. By doing so, it contributes to improving the quality of oral care in cancer therapy settings and enhances overall patient well-being. How to cite this article: Espinoza-Carhuancho F, Huaman-De la Cruz M, Lozano-Castro F, et al. Global Patterns, Impact, and Networking in Mouthwash and Cancer: A Scientometric Analysis. J Contemp Dent Pract 2025;26(6):608-614.
    Keywords:  Bibliometrics; Cancer Mouthwash.
    DOI:  https://doi.org/10.5005/jp-journals-10024-3905
  10. Ibrain. 2025 ;11(3): 319-331
      Hydrocephalus is the most common and devastating condition affecting the fetus. The aim of this study was to provide a comprehensive overview of the relevant literature through bibliometric analysis. The survey covers the articles related to congenital hydrocephalus published in the Web of Science Core Collection (WoSCC) database from January 1, 2003 to December 31, 2022. In addition to repeated literature, reviews and articles are included. We visualized the annual publication number, citation frequency, country/region, institution, author, periodical, and keywords with a range of software such as VOSviewer (1.6.18), Microsoft Excel 2019 (Redmond) and online analysis platform (https://bibliometric.com/ document). The results showed that the United States made the most important contribution to the research on fetal hydrocephalus. China's contribution has grown and developed strongly in recent years. The key words were mainly divided into four categories: basic research, epidemiology, treatment, and diagnostics. The number of publications related to fetal hydrocephalus has increased significantly, and it has a good development prospect in prenatal diagnosis and treatment.
    Keywords:  bibliometric analysis; congenital; human fetus; hydrocephalus
    DOI:  https://doi.org/10.1002/ibra.12171
  11. J Oral Maxillofac Surg. 2025 Sep 11. pii: S0278-2391(25)00762-1. [Epub ahead of print]
       BACKGROUND: Mandibular condyle fractures represent 16.5 to 56% of mandibular injuries and remain controversial in management. This bibliometric analysis evaluates the top 50 most-cited studies to identify research trends and gaps. We systematically searched the Web of Science for mandibular condyle fracture studies, analyzing the top most-cited 50 articles by citation counts, authorship, institutions, journals, and keywords using the VOSviewer for bibliometric coupling.
    FINDINGS: Studies (citations: 42 to 243) peaked in the 1990s to 2000s, declining after 2015. Germany 22% and the USA 12% led contributions, with the Journal of Oral and Maxillofacial Surgery publishing most articles (17 of 50). Dominant keywords included "open reduction" and "osteosynthesis," yet 84% of studies were low-level evidence (levels III to IV). Key contributors were Eckelt U and Lindqvist C, with the Technical University of Dresden as the top institution.
    CONCLUSION AND RELEVANCE: The field relies on older, lower-quality studies with stagnant high-impact research since 2015. Future work should prioritize prospective studies to resolve management controversies.
    DOI:  https://doi.org/10.1016/j.joms.2025.09.006
  12. Eur J Pharmacol. 2025 Sep 26. pii: S0014-2999(25)00941-0. [Epub ahead of print]1006 178187
       BACKGROUND: Lecanemab, a monoclonal antibody that targets amyloid-beta aggregates, has emerged as a promising therapeutic for Alzheimer's disease (AD). AD is a progressive neurodegenerative disorder characterized by cognitive decline and amyloid pathology. Research on the use of lecanemab in treating AD has increased; however, no relevant bibliometric analyses have been conducted. To address this gap, this study employed bibliometric methods to search for the relevant literature and analyze research trends investigating AD and lecanemab.
    METHODS: We performed a literature search of the Web of Science core database for studies investigating AD and lecanemab, published from database inception up to April 3rd, 2025. After rigorous screening, Excel, VOSviewer, and CiteSpace were used to perform a bibliometric analysis of publications, citations, and collaboration networks among countries, institutions, and authors, along with cluster and burst analyses of keywords. Coremine was used for text mining entries significantly related to AD and lecanemab.
    RESULTS: The number of studies published on AD and lecanemab has increased annually. The countries with the highest publication output were the United States, the United Kingdom, and China. The leading institutions that produced the most articles were Eisai Inc. (Bunkyo City, Tokyo, Japan), Uppsala University (Uppsala, Sweden), and Harvard Medical School (Boston, MA, USA). The top three authors were Lars Lannfelt, Shobha Dhadda, and Michio Kanekiyo. The most prolific journals included The Journal of Alzheimer's Disease, Alzheimer's and Dementia, and Ageing Research Reviews. The most cited article was "Lecanemab in Early Alzheimer's Disease," by Van Dyck et al., published in The New England Journal of Medicine in 2023, which has accrued 172 citations. The 10 most frequently occurring keywords were Alzheimer's disease, lecanemab, dementia, aducanumab, amyloid-beta, immunotherapy, tau, a-beta, mouse model, and donanemab. Text mining revealed that drugs, anatomical structures, chemical molecules, genes, diseases, and procedures were significantly associated with both AD and lecanemab.
    CONCLUSION: The bibliometric and text mining analysis revealed trends in research investigating the correlation between lecanemab and AD. It analyzed the cooperation among countries, regions, and authors, highlighting recent research hotspots. These data offer objective insights for scientific research and clinical practice on lecanemab and AD. These findings provide a roadmap for prioritizing clinical trials, optimizing drug development strategies, and addressing knowledge gaps in amyloid-targeted therapies.
    Keywords:  Alzheimer; Author; Bibliometric analysis; Lecanemab; Publication
    DOI:  https://doi.org/10.1016/j.ejphar.2025.178187
  13. J Multidiscip Healthc. 2025 ;18 5961-5976
       Objective: Depression is a chronic disorder that affects a considerable population worldwide. Exercise has been proposed as an effective adjunct for depression. Although there has been a significant amount of research on exercise for depression, there is a lack of reviews analyzing current state and frontier of the research. This study aims to identify current hot topics and tendencies in the field of exercise for depression.
    Methods: Articles and reviews on the topic of exercise for depression published in English between January 2010 and December 2023 were screened from the Web of Science Core Collection. The qualified records were evaluated quantitatively and visualized using CiteSpace software. The analysis contains information on authors, institutions, journals, publications, and countries/regions, as well as subject categories and keywords.
    Results: A total of 2405 records were analyzed. The number of related publications has been growing rapidly from 2010 to 2023. The Journal of Affective Disorders published the most articles (n = 137). The USA leads in terms of the number of publications (n = 684) and citations (n =19688). The most productive institution and author were King's College London (n = 69) and Stubbs B (n = 31), respectively. Psychiatry (n = 783) was definitely the first research hotspot category. The keywords analysis revealed that the group of interest was older adults, and the form of exercise of interest was Hatha yoga in the area.
    Conclusion: The topic of exercise for depression is an expanding field of research, with the expectation that it will remain a focus of investigation. The findings of our study indicate the key areas and potential avenues for further investigation in this field. More research is required to investigate potential mechanisms of exercise and to develop more personalized exercise prescriptions in order to effectively improve depression in specific populations.
    Keywords:  CiteSpace; bibliometrics; depression; exercise; global trend
    DOI:  https://doi.org/10.2147/JMDH.S529339
  14. Medicine (Baltimore). 2025 Sep 26. 104(39): e44784
       AIM: This article aims to explore the hotspots and frontiers in global digital literacy research to help global digital literacy researchers identify potential collaborators and research topics.
    METHODS: A total of 5252 literatures were retrieved from the web of science core collection database (SSCI and SCI-E). A bibliometric analysis is conducted to study the publications, countries, collaborations, institutions, authors, hotspots and frontiers in global digital literacy research. Softwares of CiteSpace, VOSviewer and bibliometric online analysis platform are used together for visualization.
    RESULTS: USA, UK, Australia, and China are the main forces with close cooperation in digital literacy research, but international cooperation needs to strengthen. The most prominent institutions and authors in global digital literacy research are University of Sydney, City University London, Journal of Adolescent & Adult Literacy, New Media & Society, Journal of Medical Internet Research, Okan Orkan, etc. The frontiers mainly focus on #0 digital literacy, #1 health literacy, #2 media literacies, #3 emergent literacy, #4 service learning, and #5digital libraries. Among them, the S value of #2 with 72 papers is 0.953, indicating a tendency to generate new topics. Digital literacy has great potential in improving digital health literacy, electronic health literacy, media literacy, especially in service learning and digital library construction. Interdisciplinary international cooperation should be the trend of digital research in the future.
    CONCLUSIONS: This study is the first multi-technology and multidimensional visualization of global digital literacy literatures, provides a comprehensive overview of global cooperation and research trends in digital literacy, outlines the definition and development of digital literacy, and provides hotspots and frontiers for global digital literacy researchers identifying potential collaborators and topics.
    Keywords:  bibliometric; digital literacy; frontier; hotspots; web of science
    DOI:  https://doi.org/10.1097/MD.0000000000044784
  15. Lasers Med Sci. 2025 Oct 04. 40(1): 406
       PURPOSE: Research related to pediatric bone age has gained substantial scholarly attention over recent decades, given its critical importance in monitoring growth and guiding clinical decision-making in children. This study aims to identify research hotspots and forecast future trends in the field of bone age assessment through bibliometric and visualization analyses.
    METHOD: A comprehensive bibliometric analysis was conducted using the Web of Science Core Collection to retrieve publications related to pediatric bone age from 1965 to 2024. Visualization analyses were performed utilizing VOSviewer (version 1.6.20), CiteSpace (version 6.3.R1), and the R package "bibliometrix."
    RESULTS: A total of 4,652 publications on pediatric bone age were subjected for analysis, with an annual growth rate of 8.09%. The United States emerged as the leading contributor, accounting for 27.7% of the total publications, followed by China and Italy. Harvard University was identified as the most productive institution, with 328 publications, and the Journal of Clinical Endocrinology & Metabolism was the most influential journal in the field. The top three frequently occurring keywords included "growth," "age," and "therapy." Keyword bursts revealed emerging keywords such as "deep learning" and "artificial intelligence."
    CONCLUSION: This bibliometric analysis identified that the future research within this area is expected to focus on integrating deep learning and artificial intelligence to improve diagnostic accuracy and clinical applications.
    CLINICAL TRIAL NUMBER: Not applicable.
    Keywords:  Artificial Intelligence; Bibliometric Analysis; Bone Age; Children; Dual-energy X-ray absorptiometry
    DOI:  https://doi.org/10.1007/s10103-025-04643-0
  16. J Multidiscip Healthc. 2025 ;18 6187-6203
       Background: Distinguishing between asthma and chronic obstructive pulmonary disease (COPD) remains a clinical challenge due to overlapping symptoms and pulmonary function test (PFT) results. Accurate differentiation is crucial for effective treatment and optimal patient care. This study employs bibliometric analysis to assess research trends, impact, and emerging areas in the use of PFTs for differentiating asthma from COPD.
    Methods: A systematic search was conducted in the Web of Science Core Collection, including both asthma- and COPD-related terms to reflect clinical overlap, identifying publications from 1989 to November 2024. Data were analyzed using VOSviewer, CiteSpace, Excel, and Biblioshiny to evaluate publication trends, influential authors, key research themes, and international collaboration networks.
    Results: The analysis included 241 original research and review articles. Research activity increased significantly after 2006, peaking in 2022. The United States and England were the leading contributors, with major academic institutions and AstraZeneca playing key roles. Keywords such as "spirometry", "diagnosis", and "bronchodilator response" emerged as major research trends. Co-citation analysis identified the European Respiratory Journal as the most influential source.
    Conclusion: Bibliometric analysis highlights a growing body of research emphasizing the role of PFTs in differentiating asthma from COPD. While spirometry remains the gold standard, recent trends show increasing interest in novel diagnostic approaches. Further studies are needed to refine diagnostic criteria and improve clinical decision-making. Our findings underscore the novelty of this bibliometric analysis in mapping global research dynamics and highlight potential clinical implications for refining diagnostic strategies in asthma and COPD.
    Keywords:  asthma; bibliometric analysis; chronic obstructive pulmonary disease; pulmonary function testing; trends
    DOI:  https://doi.org/10.2147/JMDH.S539721
  17. Discov Oncol. 2025 Sep 30. 16(1): 1794
      Hepatocellular carcinoma (HCC) is a prevalent cancer globally with a poor prognosis. Nanomedicine applications are expected to enhance early detection, improve cytotoxic drug utilization, and improve HCC prognosis. This study aims to conduct a comprehensive bibliometric analysis of research on nanomedicines in HCC, focusing on current hotspots and exploring future development directions. By searching Web of Science, we collected 4,372 English-language articles from January 1, 2012 to October 31, 2022. China emerged as the leading contributor with 2,473 publications (55.6%), followed by the US (299, 6.8%) and India (284, 6.5%). Sun Yat-sen University had the highest number of publications. The most cited journal was the INTERNATIONAL JOURNAL OF NANOMEDICINE, and BIOMATERIALS was the most influential based on H/g/m indices. Key research areas included NANOPARTICLES (11% of keyword occurrences), HEPATOCELLULAR-CARCINOMA (8% ), and DRUG-DELIVERY (6%). in-vitro drug-delivery research remains a potential area. This study reveals that nanomedicines have significant potential in improving HCC early detection, drug-use efficiency, and prognosis. Encapsulating cytotoxic drugs in nanoparticles is a predominant research hotspot, while nanoparticle toxicity's impact on human systems may be a promising future direction. These findings provide valuable insights for guiding future research and clinical translation in HCC nanomedicine.
    Keywords:  Bibliometrics; Drug delivery; Hepatocellular carcinoma; Nanotechnology; Targeted therapy; Visual analytics
    DOI:  https://doi.org/10.1007/s12672-025-03603-y
  18. Pain Res Manag. 2025 ;2025 1141767
      Background: Opioids are a class of potent analgesics extensively utilized for the management of moderate to severe pain. They are integral to postoperative analgesia, effectively mitigating pain following surgical interventions. The present study aims to undertake a comprehensive bibliometric analysis to evaluate research trends and focal areas within the domain of opioid use and postoperative analgesia. Methods: A bibliometric analysis was conducted using the Web of Science Core Collection to gather literature from 2014 to 2024. Analysis of publication trends, research hotspots, and collaboration networks was conducted using VOSviewer, CiteSpace, and the R package "bibliometrix." Results: The search yielded 5383 relevant articles, indicating a consistent upward trend in research volume, with a significant increase commencing in 2019. The USA emerged as the leading contributor, with Harvard University identified as the foremost institution. The journal Anesthesia and Analgesia was recognized as the most prominent publication in this field, while the influential author was Meissner Winfried. Analyses of keyword identified four clusters, such as complications management, nonopioid analgesics, clinical validation of opioid-free anesthesia (OFA) and pharmacokinetics of opioids. Keywords burst analysis showed emerging interests in "enhanced recovery after surgery," "prescription," and "erector spinae plane block." Conclusion: This bibliometric analysis mapped the scientific landscape of opioids in postoperative analgesia. The research hotspots included importance of complications management, nonopioid analgesics, clinical validation of OFA, and pharmacokinetics of opioids. Future studies should improve patient outcomes through individual-based multimodal analgesia with more efficacy and safety.
    Keywords:  bibliometric analysis; opioids; postoperative analgesia; research trends
    DOI:  https://doi.org/10.1155/prm/1141767
  19. Medicine (Baltimore). 2025 Sep 26. 104(39): e43936
       BACKGROUND: Chronic pain persists as a significant global health challenge, underscoring the necessity for effective, evidence-based treatment strategies. This study aims to assess publication trends and identify research hotspots within randomized controlled trials (RCTs) pertaining to chronic pain therapy.
    METHODS: We conducted a bibliometric analysis utilizing data from Web of Science Core Collection, covering the period from January 1989 to September 2024. Eligible studies were extracted from, and analysis was performed by VOSviewer, CiteSpace, and R 4.3.3.
    RESULTS: Our analysis encompassed a total of 4206 publications sourced from 939 journals, authored by 20,068 individuals across 86 countries. The most cited document was "Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale." The USA led in both publication volume and citation frequency, followed by the UK and Canada. Harvard University emerged as the most prolific institution, with significant contributions from journals such as Pain and Pain Medicine. Notable authors included Moore R. Andrew and Manchikanti Laxmaiah. Keyword analysis revealed research hotspots in "low back pain," "management," and "double blind," while emerging research frontiers included "guidelines" and "hip," indicating areas for future inquiry.
    CONCLUSION: This bibliometric analysis of RCTs pertaining to chronic pain therapy elucidated trends and emergent themes within the field. The findings yield significant insights for clinical applications and serve as a reference for prospective research directions in chronic pain management. This analysis reveals a paradigm shift from pharmacological trials to multimodal interventions incorporating psychological outcomes.
    Keywords:  CiteSpace; RCTs; VOSviewer; bibliometric analysis; chronic pain; therapy
    DOI:  https://doi.org/10.1097/MD.0000000000043936
  20. Medicine (Baltimore). 2025 Sep 26. 104(39): e44757
      Cancer is a growing health burden in Saudi Arabia, necessitating targeted research to improve its prevention, diagnosis, and treatment. This study aims to map Saudi Cancer Research (SCR) trends, productivity, thematic evolution, collaboration patterns, and emerging research areas. A cross-sectional bibliometric analysis based on Strengthening the Reporting of Observational Studies in Epidemiology guidelines was conducted using the Scopus database. A multistep Medical Subject Headings-based keyword strategy identified cancer-related publications affiliated with Saudi institutions. The study comprised 4 parts: (1) global cancer research involving Saudi affiliations (N = 40,180; 1961-2024), (2) collaborative Saudi-international articles (N = 18,145; 2020-2024), (3) Saudi-only research outputs (N = 9319; 1961-2024), and (4) original articles produced independently by Saudi institutions (N = 4240; 2020-2024). Data were analyzed using Bibliometrix, VOSviewer, and SPSS for productivity, keyword co-occurrence, author impact (h-index, m-index, and g-index), and thematic clustering. Between 1961 and 2024, SCR exhibited exponential growth, increasing from single-digit annual publications to 5707 in 2024. Original research dominated (80.2%), and collaboration spanned 124 countries, with Egypt, India, and the United States as top partners. King Saud University led the output and funding. Thematic mapping has revealed a shift from foundational topics (e.g., chemotherapy and inflammation) to advanced themes such as molecular docking, deep learning, and drug discovery. From 2020 to 2024, over 58% of SCR was produced, reflecting strong national prioritization and increasing engagement in cutting-edge, multidisciplinary, and collaborative cancer research. Cancer research in Saudi Arabia has grown substantially over the decades, both in terms of volume and thematic diversity. This multilayered bibliometric assessment highlights key contributors, evolving research directions, and gaps to inform future national cancer research priorities and innovation strategies.
    Keywords:  Saudi Arabia; bibliometric analysis; cancer research; research growth; thematic trends
    DOI:  https://doi.org/10.1097/MD.0000000000044757
  21. Front Radiol. 2025 ;5 1634165
       Background: The incidence of Non-alcoholic Fatty Liver Disease (NAFLD) continues to rise, becoming one of the major causes of chronic liver disease globally and posing significant challenges to healthcare systems worldwide. Artificial intelligence (AI) technology, as an emerging tool, is gradually being integrated into clinical practice for NAFLD, providing innovative approaches to improve diagnostic efficiency, personalized treatment plans, and disease prognosis assessment. However, current research remains fragmented, lacking systematic and comprehensive analysis.
    Objective: This study conducts a bibliometric analysis of artificial intelligence applications in Non-alcoholic Fatty Liver Disease (NAFLD), aiming to identify research trends, highlight key areas, and provide comprehensive and objective insights into the current state of research in this field. We expect that these research results will provide valuable references for guiding further research directions and promoting the effective application of AI in liver disease healthcare.
    Methods: This study used the Web of Science Core Collection database as the data source, searching the Science Citation Index Expanded (SCI-Expanded) and Current Chemical Reactions (CCR-Expanded) citation indexes. The search timeframe was set to include all relevant literature from 2010 to March 25, 2025. The research methodology adopted a multi-software joint analysis strategy: First, HistCite Pro 2.1 was used to analyze the historical evolution and citation relationships of literature in this field. The tables generated by the tool systematically recorded the development process of the literature, clearly depicting the evolution of the research field over time. Second, Scimago Graphica was used to create a country/region collaboration network view, intuitively showing academic collaboration among countries/regions (SCImago Lab, 2022). VOSviewer 1.6.20 was used to analyze collaboration networks and visualize keyword co-occurrences to identify main research themes and clusters. CiteSpace was used for deeper scientific literature analysis, precisely capturing the dynamic changes of research hotspots and the evolution of frontier trends through Burst Detection algorithms and Timezone View.
    Results: A total of 655 papers were retrieved from 60 countries, 1462 research institutions, and 4,744 authors published in 279 journals. The number of papers surged dramatically during 2019-2024, with papers from these six years accounting for approximately 83.8% (549/655) of the total. Country-level analysis showed that the United States and China are the major contributors to this field; journal analysis indicated that Scientific Reports and Diagnostics are the journals with the highest publication volumes. In-depth analysis of 655 publications revealed four major research clusters: non-invasive assessment methods for liver fibrosis, imaging-based diagnosis (magnetic resonance imaging, CT, and ultrasound), disease progression prediction model construction, and biomarker screening genes. Recent research trends indicate that deep learning algorithms and multimodal data fusion have become research hotspots in AI applications for NAFLD diagnosis and treatment. Particularly, MRI-based liver fat quantification and fibrosis assessment, combined with deep learning technologies for non-invasive diagnostic methods, show potential to replace liver biopsy.
    Conclusion: This study comprehensively outlines the development trajectory and knowledge structure of artificial intelligence technology in NAFLD research through systematic bibliometric analysis. The findings suggest that although the field faces challenges such as data standardization and model interpretability, AI technology shows broad prospects in NAFLD disease management and risk prediction. Future research should focus on multimodal data fusion, clinical translation, and evaluation of practical application value to promote the realization of AI-assisted precision medicine for NAFLD. This study not only depicts the current landscape of artificial intelligence applications in NAFLD but also provides a reference basis for future development in this field.
    Keywords:  artificial intelligence; bibliometric analysis; hepatology; liver disease; metabolic dysfunction-associated steatotic liver disease; metabolic-associated fatty liver disease; non-alcoholic fatty liver disease
    DOI:  https://doi.org/10.3389/fradi.2025.1634165
  22. J Korean Med Sci. 2025 Sep 29. 40(38): e243
       BACKGROUND: Methotrexate (MTX) is a frequently used antifolate agent in rheumatology, oncology, and dermatology. Retractions are crucial for preserving scientific integrity by fixing the literature when errors, ethical violations, or data falsification are detected. This study seeks to comprehensively examine retracted MTX publications, detecting trends, reasons, and potential ramifications.
    METHODS: A descriptive cross-sectional study was performed by searching PubMed for retracted MTX publications without temporal constraints. Bibliometric data were retrieved, encompassing publication details, journal indexing, citation metrics, and Altmetric Attention Scores (AAS). Reasons for retraction were categorized.
    RESULTS: Thirty-six retracted papers were identified. The predominant cause for retraction encompassed data concerns (n = 15), fraudulent activity (n = 11), and manipulation of the peer review process (n = 10). China recorded the most retractions (n = 14), followed by the USA (n = 6) and Egypt (n = 3). The median period until retraction was 712 (91-9,893) days. Most retracted articles were published in non-rheumatology journals. Citation analysis showed a median of 5 (0-105) citations. Additionally, the median AAS was 1 (0-14).
    CONCLUSION: Data integrity concerns, fraudulent activities, and manipulation of peer review processes constitute major obstacles in MTX-related research. The considerable number of retractions in certain countries underscores the need to promote research ethics and measures to protect scientific integrity. Enhancing peer review, implementing more intense data transparency, and promoting post-publication evaluation are essential measures to protect scientific integrity and uphold confidence in clinical recommendations.
    Keywords:  Antirheumatic Agents; Ethics; Fraud; Methotrexate; Peer Review; Retraction of Publication
    DOI:  https://doi.org/10.3346/jkms.2025.40.e243
  23. Front Microbiol. 2025 ;16 1641967
       Introduction: The integration of artificial intelligence (AI) into bacteriology has marked a pivotal advancement by enabling the analysis of large-scale microbiological datasets. Despite growing adoption, significant research gaps persist, hindering the full exploitation of AI's potential in bacterial research and diagnostics.
    Objective: To analyze global scientific production on the application of AI techniques in bacteriology and propose a future research agenda based on bibliometric trends.
    Methods: This study conducts a bibliometric analysis of artificial intelligence (AI) applications in bacteriology, explicitly guided by the PRISMA 2020 framework. Unlike traditional reviews, this approach combines PRISMA's methodological rigor with bibliometric techniques to map scientific production. Metadata were retrieved from Scopus and Web of Science using predefined search strategies. Quantitative indicators, co-occurrence networks, and thematic mapping were applied to examine the field's temporal evolution and conceptual structure. The findings provide an evidence-based overview of research trends and gaps, supporting the design of a future research agenda on AI integration in bacteriology.
    Results: The findings reveal exponential growth in scientific output, especially between 2022 and 2024. Leading authors include Singh and Waegeman, with high-impact journals such as Frontiers in Microbiology and MSystems. The United States and China are the most productive countries. Thematic evolution shows a shift from early topics like microbial spoilage toward advanced applications including bacterial classification and diagnostic modeling. Key conceptual clusters were identified around microbiomes, classification, and bioinformatics. Emerging terms such as "diagnosis," "metagenomics," and "transfer learning" indicate future research directions.
    Conclusion: AI applications in bacteriology are expanding rapidly yet still rely heavily on traditional machine learning methods. There is a need to incorporate advanced approaches such as deep learning and transformer-based models. The findings support a strategic agenda for promoting interdisciplinary collaboration and technological innovation in bacteriological research.
    Keywords:  artificial intelligence; bacterial classification; bacteriology; bibliometric analysis; machine learning; metagenomics
    DOI:  https://doi.org/10.3389/fmicb.2025.1641967
  24. Plast Surg (Oakv). 2025 Sep 29. 22925503251379894
      Introduction: Capsular contracture (CC) is the most common complication following breast augmentation and reconstruction. Although numerous risk factors and preventive strategies have been proposed, the etiology remains poorly understood. This study employs bibliometric analysis to evaluate global research trends, collaboration networks, and emerging hotspots in CC research. Methods: We queried the Web of Science Core Collection using keywords related to breast implants and CC, including publications through December 31, 2024. Data including publication year, author, institution, citations(C), and keywords were analyzed using VOSviewer, Microsoft Excel, and Scimago Graphica to visualize trends, collaboration networks, and research foci. Results: A total of 2065 publications(P) were included. The United States led in both total publication output and citation count (P = 800, C = 27 984), with Harvard (P = 48, C = 1688) and Georgetown Universities (P = 45, C = 2750) being key contributors. Emerging contributions from Asian institutions were noted, though citation impact remained lower. Plastic and Reconstructive Surgery was the most prolific and cited journal (P = 473, C = 23 113). Recent research hotspots identified through keyword analysis include Biofilm, Acellular Dermal Matrix (ADM), Implant placement, contamination, and inflammation. Most top-cited studies were of Level IV or V evidence. Conclusion: Research on CC is increasing, with a shift toward exploring biological mechanisms like biofilm formation and preventative measures such as ADM and implant positioning. Despite growing international interest, most evidence remains low quality. Future work should prioritize clinical studies that generate higher level of evidence and foster broader global collaboration to improve patient outcomes and refine surgical practices.
    Keywords:  Capsular contracture; bibliometric analysis; breast implant; research hotspots
    DOI:  https://doi.org/10.1177/22925503251379894
  25. J Multidiscip Healthc. 2025 ;18 6103-6114
       Background: Cardiac electrophysiology research has expanded rapidly, yet its global distribution, collaborative dynamics, and thematic evolution have never been quantified across the full history of the field. Mapping these patterns is crucial for guiding funding and designing impactful studies.
    Methods: A scientometrics analysis was conducted on articles indexed in Scopus, Web of Science, and PubMed (1959-2025). After screening, 3766 peer-reviewed papers were analyzed. Publication trends, citation-based indicators (h-index, which reflects productivity and impact; g-index, which highlights highly cited work; and m-index, which adjusts for time), journal quartiles, World Bank income-levels, and WHO regions were quantified. Co-authorship networks mapped institutional and national partnerships, while text-mining tracked keyword trajectories to identify emerging research fronts.
    Results: Annual publications increased from 3 in 1959 to 268 in 2021. Articles averaged six co-authors, with 25% showing international collaboration. High-income countries produced 86.7% of output and dominated journals' impact (mean h-index = 155). In contrast, lower-middle-income nations contributed only 1.9%. The University of California and the United States were central collaboration hubs, while Africa and Latin America remained peripheral. Keyword analysis showed a shift from pharmacology and in-vitro biophysics to newer areas such as implantable devices, artificial intelligence-guided risk scoring, and stem cell-based models. Emerging concepts such as Bayes theorem (for probabilistic modeling) and quantitative trait locus (for linking genetics to arrhythmia risk) are beginning to appear, though still scarcely represented. Cross-continental papers received the highest citation density.
    Conclusion: Cardiac electrophysiology knowledge is concentrated in high-income regions and in teams with strong collaboration. This map highlights geographic blind spots and emerging themes, offering a practical guide for building north-south consortia, focusing on neglected pathologies, and investing in artificial intelligence and stem-cell-based strategies likely to drive the next breakthroughs.
    Keywords:  bibliometrics; cardiac electrophysiology; electrophysiology; knowledge discovery; research
    DOI:  https://doi.org/10.2147/JMDH.S538851
  26. Front Microbiol. 2025 ;16 1585809
       Introduction: Bacterial extracellular vesicles (BEVs) are nanoscale biological vesicles secreted by bacteria that carry unique cargo and membrane structures derived from their parental bacteria. In recent years, BEVs have been shown to significantly contribute to the pathogenesis and progression of various diseases, with promising potential as immunotherapeutic agents, drug delivery systems, and nano-vaccines.
    Methods: This study aims to comprehensively evaluate the research status and development trends of BEVs using bibliometric approaches. A total of 2,836 publications indexed in the Web of Science Core Collection by 30 November 2024 were included in this study. The R package "Bibliometric" and CiteSpace software were employed for bibliometric analysis and visualization of authors, countries/regions, institutions, journals, subject categories, keywords, and references.
    Results: From 2006 to 2024, the number of publications exhibited a steady upward trend, with an annual growth rate of 15.01%. The USA and the Chinese Academy of Sciences were identified as the most productive country and institution, respectively. Gho, Yong Song emerged as the most prolific and influential researcher. Cluster analysis of references revealed that outer membrane vesicles, immunotherapy and probiotics are the three largest research clusters. Keyword burst detection identified cancer immunotherapy, the tumor microenvironment, and drug delivery as promising research directions.
    Conclusion: Our study highlights that BEV-based drug delivery systems are a major focus of current research, with tremendous potential. Future research on BEVs is expected to focus on tumor immunotherapies and remodeling of the tumor immune microenvironment. With the advancements in nanotechnology, biomedicine, and industry, BEVs are anticipated to make remarkable strides and greatly contribute to solving challenging clinical issues.
    Keywords:  bacterial extracellular vesicles; bibliometric; drug delivery; immunotherapy; nano-materials; outer membrane vesicles
    DOI:  https://doi.org/10.3389/fmicb.2025.1585809
  27. J Multidiscip Healthc. 2025 ;18 6037-6050
       Objective: To investigate the progress and status of the application of artificial intelligence (AI) in orthopedics and highlight the current hot research areas.
    Methods: A comprehensive literature search was conducted in the PubMed database, covering the period from 2010 to 2024. The R software (version 4.2.0) was used for the bibliometric analysis.
    Results: A total of 112 articles related to AI and orthopedics have been published, demonstrating a consistent upward trend in research output. Hot keywords, such as "machine learning", "deep learning", "ChatGPT", "3D printing", and "arthroplasty", were frequent occurring terms. While most countries engaged in extensive collaborative networks, the frequency of these partnerships remained relatively limited.
    Conclusion: The influence of AI in the field of orthopedics has been growing. This impact may signify the historic onset of the AI era in orthopedics, with milestones being set along the path from precision diagnostics to targeted treatments.
    Keywords:  artificial intelligence; bibliometric analysis; orthopedics; visualization
    DOI:  https://doi.org/10.2147/JMDH.S536633
  28. Cureus. 2025 Aug;17(8): e91262
      Ulcerative colitis (UC) is a chronic idiopathic inflammatory bowel disease characterized by mucosal ulceration and inflammation confined to the colonic epithelium. While colonoscopy remains the diagnostic gold standard, fecal calprotectin (FC) is a validated non-invasive biomarker. Therapeutic management encompasses immunosuppressive agents including anti-TNF biologics such as infliximab, vedolizumab, and ustekinumab for severe disease manifestations, whereas mild-to-moderate UC is managed with variable dosing regimens of 5-aminosalicylates administered via oral or rectal routes. This bibliometric analysis utilized the Web of Science (WoS) database to extract publication data spanning from January 1, 2021, to June 14, 2025, with subsequent exportation of tab-delimited datasets to VOSviewer (version 1.6.20) for comprehensive bibliometric visualization and analysis. Bibliometric analysis demonstrated that the People's Republic of China exhibited the highest publication output with predominantly recent scholarly contributions. Therapeutic research predominantly focused on biologic agents, specifically infliximab (677 publications), vedolizumab (269 publications), and ustekinumab (234 publications) over the five-year study period. Temporal analysis utilizing the WoS Core Collection revealed consistent publication growth, with 2024 demonstrating peak research output. Categorical distribution analysis indicated "Gastroenterology Hepatology" as the predominant research domain.
    Keywords:  bibliometric analysis; gastroenterology; global research trends; inflammatory bowel disease; treatments; ulcerative colitis (uc)
    DOI:  https://doi.org/10.7759/cureus.91262
  29. Support Care Cancer. 2025 Oct 04. 33(10): 906
      Cancer is among the significant immune diseases with a rapidly increasing prevalence worldwide. Cancer rehabilitation and physiotherapy approaches play crucial roles in the treatment process. This bibliometric analysis compiles research on cancer rehabilitation and cancer physiotherapy. The Scopus search engine was preferred for this purpose, and 1769 documents were examined. The data from the relevant search engine were downloaded on October 24, 2023. These data were analysed via the VOSviewer and Biblioshiny programs. While the United States leads in terms of article publications, Canada takes the lead in international collaboration. The most referenced article, with 1197 citations, is "Early palliative care for patients with advanced cancer: a cluster-randomized controlled trial" published in "THE LANCET" by Zimmeran et al. (2014). The study also identifies the The top three journals with the most citations were "Supportive Care In Cancer," "Rehabilitation Oncology," and "Pm and R Journal." In particular, the University of Southern Denmark stands out as the most involved institution in this field with productive research output. The most prolific author, with 31 articles, is 'Fu Jb.' Among the most frequently used keywords are "human', 'female', and 'cancer 'rehabilitation'. The findings of this study are valuable not only for researchers and practitioners interested in cancer rehabilitation and physiotherapy but also for anyone seeking insights into practical applications and potential future developments. Ultimately, this research contributes to the ongoing dialogue surrounding the importance of cancer and cancer rehabilitation in the field of immune system disorders and creates a roadmap for future research efforts in this area.
    Keywords:  Bibliometric analysis; Biblioshiny; Cancer physiotherapy; Cancer rehabilitation; VOSviewer
    DOI:  https://doi.org/10.1007/s00520-025-09958-w
  30. Front Plant Sci. 2025 ;16 1644092
      Drought stress is a major abiotic constraint limiting plant growth and ornamental quality. Despite the importance of ornamental species in global horticulture, they remain underrepresented in drought-related research compared to food and industrial crops. This study presents a bibliometric and network-based analysis of drought stress research in ornamentals from 1995 to 2025, based on 1,387 records from Web of Science and 1,212 from Scopus. After screening, 383 WoS and 436 Scopus records were retained, yielding 819 articles. Keyword analysis showed dominant themes in gas exchange, photosynthesis, stomatal conductance, proline, and antioxidant activity. Recent inclusion of transcription factors, RNA-seq, and proteomics suggests a growing molecular focus. Salt tolerance, evapotranspiration, and floral traits under drought were also highlighted. Microbial strategies, such as PGPR and mycorrhizae, appeared infrequently. China, the USA, and Spain were the leading contributors, supported by international collaborations. Core journals included HortScience, Scientia Horticulturae and Frontiers in Plant Science. This work outlines the field's thematic structure and evolution, underscoring the need to integrate physiological, molecular, and ecological tools to strengthen drought resilience in ornamentals. This study conducts a longitudinal and network-based bibliometric analysis of drought stress research in ornamental plants, drawing from peer-reviewed literature published between 1995 and 2025 across the Web of Science Core Collection and Scopus databases.
    Keywords:  climate-resilient horticulture; collaboration networks flowering; drought stress; floriculture; omics; physiological responses
    DOI:  https://doi.org/10.3389/fpls.2025.1644092
  31. Int Heart J. 2025 ;66(5): 829-840
      Cardiac rehabilitation (CR) is a comprehensive intervention aimed at improving recovery, reducing mortality, and enhancing the quality of life in myocardial infarction patients. Despite its proven benefits, its global implementation remains inconsistent, warranting further exploration of research trends and challenges. This study explores hot topics and frontiers in research on cardiac rehabilitation after myocardial infarction over the past 23 years. We aim to map the development trajectory of this field and provide references for related research. Literature on cardiac rehabilitation of myocardial infarction patients from 2000 to 2023 was gathered from the Web of Science core database. VOSviewer and CiteSpace were used to create knowledge maps of authors, institutions, and countries. We used Scimago Graphica to create a world map of publications by country. A total of 9,471 papers on cardiac rehabilitation after myocardial infarction were identified. We found a gradual increase in the annual number of publications over the years. The United States produced the highest number of publications, with significant contributions from higher education institutions, which engaged in extensive collaborations. Recent research hotspots and frontiers include physical activity, secondary prevention, risk management, quality of life, mortality, depression, management, high-intensity interval training (HIIT), systematic reviews, resistance exercise, position papers, and barriers to rehabilitation. Over the past 23 years, the annual global publication output on cardiac rehabilitation of myocardial infarction patients has steadily increased. However, the implementation of cardiac rehabilitation continues to face challenges worldwide. Experts from around the world need to make concerted efforts to conduct more in-depth clinical studies of the research hotspots and frontiers identified in this paper. This is vital to ongoing improvements in the quality of cardiac rehabilitation after myocardial infarction.
    Keywords:  Bibliometric analysis; Quality of life; Research trends
    DOI:  https://doi.org/10.1536/ihj.25-064
  32. J Multidiscip Healthc. 2025 ;18 6127-6149
       Background: Ergothioneine (EGT) is a natural antioxidant with multiple cellular protective properties. Recently, due to the improvement of production efficiency, EGT-related products have been more widely used. This paper studies the present situation of global research trends and hotspots of EGT to better grasp the direction of EGT research in biology and medical.
    Methods: We searched for relevant literature on EGT in the Web of Science Core Collection (WOSCC) and SciFinder databases on August 16, 2025. CiteSpace, VOSviewer, Tableau Desktop, Microsoft Excel, Bibliometrix program package and Biorender software are used for statistical analysis and visualisation.
    Results: A total of 800 articles were collected. It is found that the average growth rate of EGT's publications in biology and medicine from 1996 to 2025 was 17.33%. Based on the statistical results by country/region, it is evident that the primary focal areas of research activity within this domain exhibit concentrated distribution across the Americas, Asia, and Europe. Among the top ten authors in terms of publication volume, six are from Asia, three are from Poland in Europe, and one is from the United States (USA) in the Americas. The highest H-index ranking author is Halliwell B (169).
    Conclusion: Based on the keyword visualisation results, the current research hotspots are mainly divided into three clusters: 1) The absorption, distribution, anti-inflammatory and antioxidant biological molecular mechanisms of EGT in vivo. 2) The impact of EGT's antioxidant and anti-inflammatory effects on various diseases; 3) The source of EGT, the antioxidant potential of edible fungi in vitro, and its influencing factors. At present, research on EGT in biology and medicine mainly focuses on basic theories, so we believe that clinical trial research will become a hot trend in the future.
    Keywords:  bibliometric analysis; ergothioneine; fungi; health; mushroom
    DOI:  https://doi.org/10.2147/JMDH.S547548
  33. Front Oncol. 2025 ;15 1614484
       Background: Exosomes have emerged as pivotal players in the pathogenesis, progression, and treatment of hepatocellular carcinoma (HCC), establishing them as a major research focus in recent years. This bibliometric analysis maps the knowledge evolution and quantifies research trends in exosome-associated HCC studies from 2014 to 2024.
    Methods: We retrieved relevant publications (2014-2024) from the Web of Science Core Collection (WoSCC) database and conducted bibliometric analyses using CiteSpace, VOSviewer, and R software.
    Results: The analysis encompassed 1,120 publications (714 research articles and 406 reviews), originating from 60 countries/regions and 4,035 institutions, published in 388 journals, and authored by 6,989 authors. China emerged as the most productive country, followed by the United States. The most prolific journals were the International Journal of Molecular Sciences and Frontiers in Oncology, while Fudan University ranked as the most productive institution. Trend analysis indicates that future HCC exosome research will concentrate on: the development and application of exosomes as HCC biomarkers, optimizing exosomes as drug delivery vehicles, investigating tumor treatment resistance, and exploring exosome-mediated immunotherapeutic strategies for HCC to facilitate their clinical application.
    Conclusion: Current evidence demonstrates that the field of HCC exosome research is in a phase of rapid development, with its potential in both basic research and clinical translation continually being explored. Through bibliometric analysis, this study identifies key trends and emerging directions in HCC exosome research from 2014 to 2024, offering insights into current research priorities and potential innovations.
    Keywords:  bibliometric analysis; exosomes; hepatocellular carcinoma; hotspot; research trends
    DOI:  https://doi.org/10.3389/fonc.2025.1614484
  34. Cureus. 2025 Aug;17(8): e91155
      Over the decade from 2014 to 2024, extensive research has investigated the relationship between endoplasmic reticulum (ER) stress and obesity. Consequently, reviewing and analyzing the emerging trends and focal points in this field is of paramount importance. We retrieved publications on the association between obesity and ER stress from the Web of Science (WoS) Core Collection, limiting the time range to 2014-2024 and restricting the research types to "Articles" and "Reviews" and utilized CiteSpace software (Chen et al., College of Computing and Informatics, Drexel University, Philadelphia, PA) for visual analysis to identify hot topics and emerging trends. A total of 3,847 publications were retrieved, revealing a consistent upward trend in annual publication numbers. The majority of these publications originate from China and the United States. The top three most prolific authors are Jung Tae Woo, Abd El-Aty AM, and Jeong Ji Hoon. Keywords such as "endoplasmic reticulum stress," "insulin resistance," "oxidative stress," "obesity," and "unfolded protein response" have emerged as frequently used terms. These topics have garnered significant attention in recent years. Keyword cluster analysis identified the top three clusters as "follicular dysfunction," "energy homeostasis," and "activating transcription factor." Timeline analysis of keywords indicates that themes such as "energy homeostasis," "palmitic acid-induced stress," "metabolic syndrome," "endothelial cell dysfunction," and "diet-induced nonalcoholic steatohepatitis" span the entire data acquisition period. The analysis of ER stress in obesity from 2014 to 2024 suggests a focus on molecular mechanism analysis, disease association studies, and the development of therapeutic targets. These advancements may lead to revolutionary breakthroughs in the prevention, diagnosis, and treatment of obesity-related diseases.
    Keywords:  citespace; endoplasmic reticulum stress; obesity; unfolded protein response; visual analysis
    DOI:  https://doi.org/10.7759/cureus.91155
  35. Discov Oncol. 2025 Sep 29. 16(1): 1770
       BACKGROUND: Glioblastoma (GBM) is the most aggressive and lethal primary malignant brain tumor in adults, characterized by extensive heterogeneity and a profoundly immunosuppressive microenvironment. Despite advances in surgery, radiotherapy, and chemotherapy, therapeutic outcomes remain poor. Chimeric antigen receptor (CAR)-T cell therapy has shown remarkable efficacy in hematologic malignancies and is now being explored for solid tumors such as GBM. Given the expanding research landscape, a systematic understanding of global trends and hotspots in this domain is urgently needed.
    METHODS: We conducted a comprehensive bibliometric and visualized analysis of publications related to CAR-T cell therapy in GBM from inception to December 31, 2024, using the Web of Science Core Collection. CiteSpace was used to analyze publication trends, country and institutional collaboration, author impact, journal co-citation, reference networks, and keyword co-occurrence, clustering, and bursts.
    RESULTS: A total of 303 relevant publications were included. Annual outputs showed rapid growth beginning in 2015, with the United States and China leading in productivity and collaboration. Influential authors such as Christine E. Brown and Donald M. O'Rourke were identified as core contributors. Neuro-Oncology and Clinical Cancer Research emerged as key publishing and co-cited journals. Co-citation and keyword analysis revealed a shift from early focus on single-antigen CAR designs (e.g., IL13Rα2, EGFRvIII) toward dual-target constructs, "armored" CAR-T cells, and combinatorial immunotherapies. Recent research hotspots included immunomodulation, precision medicine, and novel delivery platforms such as nanoparticles and oncolytic viruses.
    CONCLUSIONS: This study maps the evolving scientific landscape of CAR-T cell therapy in GBM, highlighting key contributors, institutional collaboration, and emerging research frontiers. The transition from basic antigen targeting to multifunctional, immune-enhancing strategies reflects a maturing field with increasing translational focus. Our findings offer valuable insights that can inform strategic funding allocation by identifying high-impact institutions and authors, optimize clinical trial design by highlighting emerging combinatorial and delivery strategies, and guide novel target discovery through analysis of co-cited references and keyword bursts. By revealing global collaboration networks and thematic shifts, this study also supports the development of interdisciplinary research frameworks in CAR-T therapy for GBM.
    Keywords:  Bibliometric analysis; CAR-T cell therapy; Glioblastoma; Immunotherapy; Research trends
    DOI:  https://doi.org/10.1007/s12672-025-03285-6
  36. Gynecol Oncol. 2025 Sep 30. pii: S0090-8258(25)01010-8. [Epub ahead of print]202 87-92
       OBJECTIVE: Research productivity is a key metric for evaluating gynecologic oncology fellowship candidates, but competitive benchmarks are unclear. We aimed to assess the pre-fellowship publication output of successfully matched gynecologic oncology fellows and trends over time.
    METHODS: A cross-sectional study was conducted of trainees entering gynecologic oncology fellowship from 2018 to 2023. Trainee data were collected using online sources and communication with programs. PubMed was used to identify trainee publications, with publication year recorded relative to fellowship matriculation. Trends and differences in publication counts by matriculation year were assessed using Kruskal-Wallis and Cochran-Armitage tests. Multivariable Poisson regression assessed factors associated with total publications.
    RESULTS: We identified 455 trainees. By the year of fellowship matriculation, 400 (87.9 %) trainees had at least one publication and 307 (67.5 %) had at least one first-author publication. The median number of total publications was 3 (IQR 1-6) and first-author publications was 1 (IQR 0-2). In assessing trends over time, median total publications increased from 2 (IQR 1-4) in 2018 to 4 (IQR 2-7) in 2023 (p < 0.01). Higher publication counts were associated with holding an additional advanced degree (incidence rate ratio [IRR] 1.44, 95 % CI 1.28-1.61) and training at university-based (IRR 2.43, 95 % CI 1.53-4.18) or community-based university affiliated residencies (IRR 2.31, 95 % CI 1.43-3.99) compared to community-based programs.
    CONCLUSIONS: Most trainees entering gynecologic oncology have published research prior to fellowship, with median publications increasing significantly over time. These findings suggest a growing competitiveness in the field and offer useful benchmarks for fellowship applicants and programs.
    Keywords:  Fellowship; Fellowship applicants; Match; Publications; Research productivity
    DOI:  https://doi.org/10.1016/j.ygyno.2025.09.013
  37. Electromagn Biol Med. 2025 Oct 03. 1-14
      With the rapid development of communication technology, the potential health risk of electromagnetic radiation (EMR) to the nervous system has aroused widespread concern. This study systematically reviews the research progress in the field of EMR-neurological interactions during 2013-2024, revealing its research hotspots and future trends. Based on WOS database, this study adopts bibliometric method combined with visualization technology for multidimensional analysis. The construction of visual maps of countries, institutions, authors, keywords and other elements is realized through CiteSpace and VOSviewer software, which systematically reveals the developmental lineage and knowledge structure of the research field. The study reveals that the field has been growing continuously, with China, Iran and the United States as the core research countries, the Chinese Academy of Military Medical Sciences and other organizations contributing prominently, and Environment International leading the list with an impact factor of 21.90. High-frequency keywords include "adolescents,"hippocampus" and "synaptic plasticity", reflecting the focus of research on neurodevelopmental and functional impairments. The study points out that although the mechanism of the neurological effects of electromagnetic radiation has been achieved, its molecular mechanisms and therapeutic interventions still need to be further explored. This study provides a systematic reference for scholars around the world, helps to promote the development of the field of neural effects of electromagnetic radiation, and provides a scientific basis for public health protection.
    Keywords:  Bibliometrics; electromagnetic radiation; nervous system; research hotspots; visualization
    DOI:  https://doi.org/10.1080/15368378.2025.2568667
  38. J Dent Sci. 2025 Oct;20(4): 2467-2471
       Background/purpose: Halitosis is a condition characterized by unpleasant odors originating from the oral cavity. The purpose of this study was to analyze the scientometric characteristics and research trends of halitosis.
    Materials and methods: All the papers on halitosis were comprehensively retrieved from the Scopus database. The years of publication were divided into before 2015 and after 2015 in the analysis of research trends.
    Results: There were 1252 papers on halitosis, with total citations of 26,932 and the h index of 76. Poor oral hygiene, periodontitis, periodontal disease, gingivitis, dental caries, xerostomia, periodontics, and smoking were halitosis-related conditions. The trend of clinical investigations has changed to prospective study, single blind procedure, tongue coating, complication, sensation, and quality of life after 2015. The trend of treatment, mainly drug therapy such as antiinfective agent, cetylpyridinium salt, chewing gum, zinc, and triclosan before 2015, has changed to photodynamic therapy, plant extract, and probiotic agent after 2015. Moreover, the trend of laboratory investigation has changed to biological marker, genetics, microbiome, and microflora after 2015. There have always been common keywords such as controlled study, mouth hygiene, sulfur compounds, hydrogen sulfide, microbiology, breath analysis, mouthwash, questionnaire, breath tests, and gas chromatography.
    Conclusion: This scientometric study elucidated the current scenario and research trends of halitosis, and would help in improving in reciprocal collaboration and communication for investigations on this condition.
    Keywords:  Bibliometrics; Halitosis; Oral malodor; Periodontal disease; Treatment strategy
    DOI:  https://doi.org/10.1016/j.jds.2025.03.020
  39. Int J Radiat Oncol Biol Phys. 2025 Sep 30. pii: S0360-3016(25)06152-8. [Epub ahead of print]
       PURPOSE: Studies discussing radiation for hematologic malignancies are perceived to face significant hardship getting published in high-impact nonradiation oncology journals. This study reports on the trend of "lymphoma radiation" publications in terms of journal type, topic and authors' specialty.
    METHODS AND MATERIALS: A SCOPUS review of published papers between 2020 and 2024 was performed. Studies included were those that had "radiation OR radiotherapy AND lymphoma" in their title. Articles were assessed for their topic, authors' specialty, journal type and impact factor (IF), and number of citations. Papers were categorized into 2 groups: published in radiation oncology (RO) versus non-RO journals.
    RESULTS: A total of 402 papers were published between 2020 and 2024 and met our inclusion criteria; 108 papers were published in RO and 294 were published in non-RO journals. RO journals had lower IF (0% vs 13% with IF ≥ 10, P < .001), however, papers published in RO journals were significantly more cited compared with those in non-RO journals (median, 2 vs 1; P = .002). Non-RO journals published more papers on radiation negative clinical outcomes (23%) compared with RO journals (10%), (P = .005). Among studies reporting radiation negative clinical outcomes, 15 (19%) were published in high IF (≥10) journals. In contrast, 19 (7%) of studies reporting positive clinical outcomes appeared in high IF journals (P = .001). Compared with RO, non-RO authors were more likely to publish on radiation therapy negative outcomes (36% vs 10%, P < .001), in high IF ≥ 10 (17% vs 5%, P < .001) and non-RO journals (91% vs 62%, P < .001).
    CONCLUSIONS: "Radiation OR Radiotherapy AND lymphoma" studies that are published in RO journals are better cited, despite lower IF. Lymphoma studies reporting on radiation negative clinical outcomes are more likely to be published in non-RO and higher IF journals, and by non-RO authors.
    DOI:  https://doi.org/10.1016/j.ijrobp.2025.08.018
  40. J Water Health. 2025 Sep;23(9): 1055-1077
      Although disinfection has been successful in ensuring microbiological safety, there are growing concerns regarding the potential carcinogenic effects linked to exposure to disinfection by-products (DBPs). Research on the formation, toxicity, and prevalence of DBPs is still limited for many compounds. Consequently, this study seeks to utilize bibliometric analysis of literature on the associations between DBPs and cancer to elucidate the current research landscape and highlight areas of focus for future studies. A total of 1,045 publications were identified through an extensive search of the Scopus database spanning the years 1976-2023. The United States led with 345 publications (33.0%), followed by China with 236 publications (22.6%) and Canada with 69 publications (6.6%). The identified hot topics were categorized into three clusters: (i) mechanisms of DBPs formation resulting from the use of various disinfectants to treat water contaminated with emerging pollutants; (ii) the identification of different types of cancers associated with DBPs; and (iii) research on the genotoxicity and toxicity evaluation associated with DBPs. It would be wise to develop interdisciplinary research within international horizons. Moreover, the drinking and wastewater treatment standards need revision to include DBP limits.
    Keywords:  cancer; disinfection by-products; genotoxicity; organic matter; visualization analysis
    DOI:  https://doi.org/10.2166/wh.2025.058
  41. Front Med (Lausanne). 2025 ;12 1600915
       Background: Recently, considerable progress has been made in the quality of clinical trials conducted in China. However, the number of clinical trials conducted in China still falls below the global average standard. This study aims to identify research hotspots, collaborative networks, and evolutionary trends in the field of clinical trial quality management (CTQM) in China through bibliometrics and visual analyses to provide theoretical support and practical references for the optimization of domestipolicies.
    Methods: A systematic literature search was performed across the CNKI, Wanfang, and VIP databases to clinical trial quality management CTQM-related publications. Bibliometric analysis was conducted using CiteSpace 6.1.R6 and Co-Occurrence 20.5 (COOC 20.5), with key metrics including: annual output, active institutions, core journals, main authors, keywords, and thematic evolution. To capture internationally published works, supplementary searches were executed in Scopus, Web of Science, and PubMed for CTQM publications authored by Chinese scholars. Owing to the limited number of results (6 records), these documents were only included only in the discussion analysis.
    Results: A total of 528 articles were retrieved from the field of CTQM. The research process was divided into three periods: the basic standardization period (2003-2012), technology convergence period (2013-2019), and the intelligent transformation period (2020-2024). The theme shifted from the localization of the system to risk management, data management, and ethical governance driven by emerging technologies. The issuing organizations are primarily national-level administrative bodies, showing strong political-academic collaboration but limited cross-system partnerships. Artificial intelligence (AI)-based clinical trial quality management enhances quality control (QC) efficiency; however, it raises concerns about data privacy and ethical disparities.
    Conclusion: China's research in the field of CTQM has led to the innovative integration of traditional quality control methods with new technologies. However, insufficient interdisciplinary cooperation and the absence of a data governance system pose ongoing challenges. In the future, it is necessary to build a three-dimensional ecosystem of "policy guidance, technological breakthroughs, and ethical synergy" to promote the rapid development of drug research in China.
    Keywords:  China; collaborative networks; drug clinical trial; evolutionary trends; quality management; visual analysis
    DOI:  https://doi.org/10.3389/fmed.2025.1600915
  42. Int J Radiat Oncol Biol Phys. 2025 Sep 26. pii: S0360-3016(25)06271-6. [Epub ahead of print]
       PURPOSE: This study assesses gender composition among invitees at the American Association of Physicists in Medicine (AAPM) annual meeting.
    METHODS AND MATERIALS: A cross-sectional analysis was conducted using data from the 2017 AAPM Annual Meeting. Gender was determined using AAPM member public profiles and data. Statistical analysis of gender representation was performed using the Mann-Whitney-Wilcoxon U test, with a p-value <0.05 considered significant. Speaker and moderator characteristics, including academic impact metrics (h-index, m-index, and publication history), were analyzed. Gender representation for 2012 and 2021 was also calculated to provide a comparative reference.
    RESULTS: In 2017, women comprised 25% of invited speakers and 19.9% of moderators, while AAPM membership was 23% women. A significant gender difference was observed in h-index values (median: men 18, women 13; p=0.003), but no significant differences were found in presenter evaluation scores. Only 30 states were represented among the invitees, highlighting the need for improved geographic diversity. As a secondary analysis, gender representation among invitees was found to have increased from 17% in 2012 to 25% in 2017 and 39% in 2021.
    CONCLUSION: Gender disparities in speaker selection persisted at the 2017 AAPM Annual Meeting, with women underrepresented among both invited speakers and moderators relative to gender parity. While no gender-based differences were observed in presenter evaluations, disparities in academic impact metrics highlight structural challenges in achieving equal representation. These findings provide a baseline for evaluating future initiatives within AAPM, with secondary data suggesting positive trends over time.
    Keywords:  AAPM Annual Meeting; DE; Diversity in Science; Equity, Diversity, and Inclusion (EDI); Gender Balance; Gender Disparities; Gender Equity; Invited Speakers; Medical Physics; Representation Trends; Scientific Conferences; Speaker Composition; Temporal Trends
    DOI:  https://doi.org/10.1016/j.ijrobp.2025.08.067
  43. JMIR Ment Health. 2025 Sep 27.
       BACKGROUND: Depression is a highly prevalent and debilitating mental disorder, yet its diagnosis heavily relies on subjective assessments, leading to challenges in accuracy and consistency. The rapid advancements in Artificial Intelligence (AI) offer promising avenues for more objective and efficient diagnostic approaches. Understanding the evolving landscape of AI applications in depression diagnosis is crucial for guiding future research and clinical translation.
    OBJECTIVE: This study aims to provide a comprehensive bibliometric and visual analysis of the global research trends, intellectual structure, and emerging frontiers in the application of AI for depression detection and diagnosis from 2015 to 2024.
    METHODS: A systematic literature search was conducted on the Web of Science Core Collection (WoSCC) database to identify relevant publications on AI applications in depression diagnosis from January 1, 2015, to December 31, 2024. A total of 2304 articles were retrieved and analyzed using bibliometric software CiteSpace. The analysis encompassed temporal trends, keyword dynamics, author collaboration networks, institutional influence, country contributions, and intellectual foundations through co-citation analysis of journals and references.
    RESULTS: The field exhibited exponential growth in publications and citations, particularly after 2018, reflecting increasing academic and clinical interest. Key thematic shifts were observed from traditional machine learning to advanced deep learning, multimodal fusion, and the integration of objective biomarkers (e.g., EEG, facial expressions). Leading contributors included institutions from China and the United States, with forming collaborative bridges from countries like Canada and Singapore. The intellectual base is highly interdisciplinary, drawing heavily from computer science, neuroscience, and psychiatry, with a notable surge in engineering and translational research.
    CONCLUSIONS: The integration of AI in depression diagnosis is a rapidly maturing and diversifying field, transitioning from theoretical exploration to clinically relevant applications focusing on objective, data-driven approaches. The identified trends underscore the need for enhanced interdisciplinary and international collaboration, ethical framework development, and a focus on translating technological innovations into accessible and equitable mental health solutions. These findings offer valuable insights for researchers, clinicians, and policymakers to strategically advance AI-assisted depression diagnostics globally.
    CLINICALTRIAL:
    DOI:  https://doi.org/10.2196/79293
  44. Reprod Fertil. 2025 Sep 30. pii: RAF-25-0022. [Epub ahead of print]
      Ovarian tissue transplantation is vital for preserving fertility in female cancer survivors. Since its first human ovarian tissue transplantation in 2000, and the first live-birth in 2004, it is receiving much more attention. However, the research scale, core research teams, and publication quality have not been systematically documented. This lack of foundational data hinders researchers' ability to assess the maturity and prevailing trends within the domain, potentially leading to duplicated efforts and suboptimal resource allocation. Our study addresses this gap by analyzing ovarian tissue transplantation research from 2000 to 2023 to map academic performance and collaboration networks. Key findings reveal Belgium and the USA as leading contributors, with robust international collaboration driving progress. The Université Catholique Louvain emerged as the most productive institution, while Dolmans M.M. stood out as a pivotal researcher. Human Reproduction ranked as the top journal for disseminating OTT advancements. Research trends highlight sustained focus on "tissue cryopreservation", "activation", and "live-birth" through 2023, with disease indications shifting from "breast cancer" and "chemotherapy" toward "infertility", "leukemia", and "premature ovarian failure". This study offers crucial insights and understanding for the collaboration work of researchers in the field of ovarian tissue transplantation, as well as recommendations for pioneering authors and journal submissions.
    Keywords:  bibliometrics; fertility preservation; ovarian tissue transplantation; ovary; surgery
    DOI:  https://doi.org/10.1530/RAF-25-0022
  45. Korean J Community Nutr. 2024 Dec;29(6): 445-454
       Objectives: Obesity rates are rapidly rising in Korea. Weight control is highly involved in obesity treatment. This study aimed to explore research trends related to weight control through keyword network analysis. By focusing on journals indexed in the Korea Citation Index (KCI), this study highlights trends specific to Korea, offering insights that reflect the country's unique cultural and policy contexts in weight control research.
    Methods: This study collected keywords from weight control-related papers published in the KCI journal over the past 20 years. Keywords were cleaned through Textom (2024), and the relationships between key research issue frequency analysis, structural characteristics, and keywords were identified using Textom, UCINET6, and NetDraw.
    Results: Over the past 20 years, 40 to 50 studies related to weight control have been conducted each year. The Korean Journal of Community Nutrition had the largest number of published articles. Keyword frequency analysis showed that 'obesity' had the highest frequency. And the analysis of degree centrality and betweenness centrality, the keyword 'obesity' ranked the highest. CONCOR analysis identified four clusters: preventive health care, health management, physical health, and personal development.
    Conclusion: The results of this study showed that weight control research reflecting the characteristics of the times has been steadily progressing in relation to the rapidly increasing obesity in Korea, and when developing policies or setting research directions related to weight loss in the future, research should be conducted in a prospective manner by subdividing it according to groups and interests.
    Keywords:  big data; body weight; journal article
    DOI:  https://doi.org/10.5720/kjcn.2024.00269
  46. Can J Ophthalmol. 2025 Sep 25. pii: S0008-4182(25)00379-5. [Epub ahead of print]
       BACKGROUND: To quantify the prevalence and trends of artificial intelligence (AI)-generated content in ophthalmology manuscripts, particularly following the public release of OpenAI's ChatGPT on November 30, 2022.
    METHODS: A retrospective bibliographic analysis was conducted on 1 036 manuscripts from 30 ophthalmology journals, divided into pre-December 2022 (519 manuscripts) and post-December 2022 (517 manuscripts) periods. AI-generated content was evaluated using the Originality Standard 2.0.0 model, which calculates AI probability scores (AIPS) ranging from 0% to 100%. Readability metrics (e.g., Flesch-Kincaid Score) and journal impact metrics (e.g., impact factor) were analyzed.
    RESULTS: AIPS remained stable from 2014 to 2022 but increased significantly after December 2022 (p < 0.001). The mean AIPS rose from 4.95% in 2022 to 11.2% by mid-2024, with projections estimating 17.51% by mid-2026. Editorials exhibited the highest mean AIPS (12.8%), while surgical technique studies had the lowest (4.33%). Higher AIPS were associated with lower journal impact factors (Spearman's ρ = -0.54; p < 0.001) and simpler language, as reflected by lower Automated Readability Index scores (Spearman's ρ = -0.12; p < 0.005). None of the included manuscripts disclosed AI usage, including 44 manuscripts with AIPS exceeding 25%.
    CONCLUSIONS: AI-generated content in ophthalmology has risen significantly since ChatGPT's release. Higher AIPS correlates with lower journal impact factors and reduced literary complexity. The lack of AI usage disclosure raises ethical concerns and emphasizes the need for transparent reporting and guidelines to ensure the integrity of scientific research.
    DOI:  https://doi.org/10.1016/j.jcjo.2025.09.004
  47. J Vitreoretin Dis. 2025 Sep 25. 24741264251367101
      Purpose: To evaluate the impact of personal, professional, and academic experiences on the publication productivity of academically affiliated female retina specialists in the United States. Methods: Between April and July 2023, a survey was distributed to academically affiliated female retina specialists in the US whose emails were found on public faculty webpages of ophthalmology departments at academic institutions. The survey gathered demographic information and the timing of personal, professional, and academic life experiences. H-indexes and most productive years were obtained from Scopus. Quantitative data were analyzed using Excel (Microsoft Corp). Results: A total of 59 responses were recorded, yielding a 38.6% response rate. The mean h-index of the cohort was 17.2 ± 15.7 (range, 0-74; IQR, 2.2-32.2). Of the 17 respondents (28.8%) who completed a research year during medical school, 16 (94.1%) reported that it was productive owing to their choice of mentor, who was male in 82.4% of cases. Of the 48 respondents (81.4%) with children, 19 (39.6%) delayed childbearing until after their fellowship, while 16 (33.3%) had children during their fellowship. The most productive year corresponded with the years of residency graduation (P < .05) and fellowship graduation (P < .05). Conclusions: Academically affiliated female retina specialists in the US experience male-dominated mentorship and tend to complete residency and fellowship before childbearing. Their average h-index is higher compared to some colleagues. Peaks in productivity correspond with the completion of training, specifically the years of residency and fellowship graduation.
    Keywords:  demographics; female retina specialist; publication productivity
    DOI:  https://doi.org/10.1177/24741264251367101
  48. Gynecol Oncol Rep. 2025 Oct;61 101958
       Objectives: To characterize the scholarly accomplishments and attitudes regarding scholarly productivity among recent gynecologic oncology (GYO) fellowship graduates and identify factors which may influence academic productivity.
    Methods: A 21-item web-based survey was distributed to individuals who had graduated from GYO fellowship within the past five years (2020-2024). Data on demographics, fellowship program characteristics, and scholarly accomplishments were collected. Descriptive statistics and univariate logistic regression were performed.
    Results: 115 individuals participated in the survey yielding a response rate of 31.2 %. The median number (min, max) of first-author published manuscripts was 4 (0, 18), conference posters was 4 (0, 30), and oral plenaries was 1 (0, 10). Graduates from programs with larger GYO clinical divisions were more likely to publish 4 or more first-author manuscripts compared to those from smaller divisions (OR 2.50; 95 % CI 1.09-5.74). The factors most frequently cited as supporting scholarly productivity were positive mentorship (65.4 %), access to existing databases (33.7 %), and timing of research year(s) (32.7 %). Reported barriers included clinical volume (63.5 %), inadequate technical support (36.5 %), and lack of mentorship (29.8 %). Fellows who had a clinical year prior to their dedicated research time were more likely to view timing of their research year(s) as contributory to their scholarly productivity (OR 2.89; 95 % CI 1.19-7.02).
    Conclusions: This study provides valuable descriptive data on the scholarly accomplishments of recent GYO fellows. Clinical division size and timing of research year(s) seem to positively impact scholarly productivity.
    Keywords:  Academic productivity; Fellowship research; Graduate medical education; Gynecologic oncology fellowship
    DOI:  https://doi.org/10.1016/j.gore.2025.101958
  49. Eur J Gen Pract. 2025 Dec;31(1): 2561685
       BACKGROUND: Primary care providers deliver the majority of medical care serving as essential first points of contact and care coordinators. Despite the significant challenges they face, primary care research seems to lag behind and stay low-funded. Since the mid-1990s, academic reforms have emphasised metrics like third-party funding and high-impact publications. Medical schools were encouraged to develop distinct research profiles and to compete both internally and externally, leading to shifts in how research areas were prioritised, potentially disadvantaging primary care research.
    OBJECTIVES: To investigate the thematic priorities in German medical schools' research, assess the diversification of these priorities, and examine the role of primary care research.
    METHODS: We conducted an analysis of the research priorities of all 39 German medical schools associated with the German Association of Medical Faculties. Data was extracted from medical school websites in October 2023. Research priorities were categorised and analysed using descriptive statistics and relationship mapping.
    RESULTS: Research profile topics per medical school ranged from 1 to 7 (mean 3.51, SD 1.41). The most common research priorities were 'Neuroscience & Neurology' (69.2%), 'Immunology/Infectiology/Immunotherapy' (59.0%), and 'Oncology' (51.3%). Only a few institutions, primarily those in rural areas or recently established medical schools, prioritised adjacent primary care research fields such as health services research or community medicine.
    CONCLUSION: Our analysis reveals a significant concentration of research priorities in a few biomedical fields across German medical schools, with an underrepresentation of primary care research. This suggests a potential misalignment between academic focus and societal healthcare needs.
    Keywords:  Germany; Research priorities; academic medicine; primary care research; research funding allocation
    DOI:  https://doi.org/10.1080/13814788.2025.2561685