Endometriosis and infertility: a bibliometric analysis of the 100 most cited articles from 2000 to 2023.

Torres JPV ，Eulálio EC ，Oliveira FDC ，Ximenes GF ，Feitosa Filho HN ，de Souza LB ，Araujo Júnior E ，Cavalcante M ... -  《-》

Research hotspots and frontiers of machine learning in renal medicine: a bibliometric and visual analysis from 2013 to 2024.

The kidney, an essential organ of the human body, can suffer pathological damage that can potentially have serious adverse consequences on the human body and even affect life. Furthermore, the majority of kidney-induced illnesses are frequently not readily identifiable in their early stages. Once they have progressed to a more advanced stage, they impact the individual's quality of life and burden the family and broader society. In recent years, to solve this challenge well, the application of machine learning techniques in renal medicine has received much attention from researchers, and many results have been achieved in disease diagnosis and prediction. Nevertheless, studies that have conducted a comprehensive bibliometric analysis of the field have yet to be identified. This study employs bibliometric and visualization analyses to assess the progress of the application of machine learning in the renal field and to explore research trends and hotspots in the field. A search was conducted using the Web of Science Core Collection database, which yielded articles and review articles published from the database's inception to May 12, 2024. The data extracted from these articles and review articles were then analyzed. A bibliometric and visualization analysis was conducted using the VOSviewer, CiteSpace, and Bibliometric (R-Tool of R-Studio) software. 2,358 papers were retrieved and analyzed for this topic. From 2013 to 2024, the number of publications and the frequency of citations in the relevant research areas have exhibited a consistent and notable increase annually. The data set comprises 3734 institutions in 91 countries and territories, with 799 journals publishing the results. The total number of authors contributing to the data set is 14,396. China and the United States have the highest number of published papers, with 721 and 525 papers, respectively. Harvard University and the University of California System exert the most significant influence at the institutional level. Regarding authors, Cheungpasitporn, Wisit, and Thongprayoon Charat of the Mayo Clinic organization were the most prolific researchers, with 23 publications each. It is noteworthy that researcher Breiman I had the highest co-citation frequency. The journal with the most published papers was "Scientific Reports," while "PLoS One" had the highest co-citation frequency. In this field of machine learning applied to renal medicine, the article "A Clinically Applicable Approach to Continuous Prediction of Future Acute Kidney Injury" by Tomasev N et al., published in NATURE in 2019, emerged as the most influential article with the highest co-citation frequency. A keyword and reference co-occurrence analysis reveals that current research trends and frontiers in nephrology are the management of patients with renal disease, prediction and diagnosis of renal disease, imaging of renal disease, and development of personalized treatment plans for patients with renal disease. "Acute kidney injury," "chronic kidney disease," and "kidney tumors" are the most discussed diseases in medical research. The field of renal medicine is witnessing a surge in the application of machine learning. On one hand, this study offers a novel perspective on applying machine learning techniques to kidney-related diseases based on bibliometric analysis. This analysis provides a comprehensive overview of the current status and emerging research areas in the field, as well as future trends and frontiers. Conversely, this study furnishes data on collaboration and exchange between countries, regions, institutions, journals, authors, keywords, and reference co-citations. This information can facilitate the advancement of future research endeavors, which aim to enhance interdisciplinary collaboration, optimize data sharing and quality, and further advance the application of machine learning in the renal field.

Li F ，Hu C ，Luo X 《-》

Global Highly Cited Publication Trends and Research Hotspots in Osteoporosis and Bone Metabolic Cells: A Bibliometric and Visualization Analysis from 2013 to 2023.

Bone metabolic diseases such as osteoporosis are caused by disruption of the metabolic balance between osteoblasts and osteoclasts. Thousands of papers have been published on osteoporosis and bone metabolizing cells. The purpose of this study is to draw the publication trend of highly cited literature in this field through bibliometrics and to explore the research hotspot analysis. This paper provides a comprehensive analysis of the impact of countries/regions, research institutions, authors, keywords, relevant journals, and references in the field of osteoporosis and bone metabolic cells research, with a specific focus on the theme of "Osteoporosis and bone metabolic cells". Furthermore, utilizing bibliometric methods, the study aims to offer valuable insights and references for future research endeavors, as well as clinical prevention and treatment strategies in this domain. The Web of Science [WOS] Core Collection database was examined in order to identify articles with high citation counts from 2013 to 31 October 2023. The citation counts, authors, year of publication, source, journal, geographical origin, subject, article type, and level of evidence were further analyzed using the R bibliometric package. The VOSviewer software was utilized to visualize word co-occurrence in a total of 251 articles. Our search strategy included 251 highly cited articles published between 2013 and 2023 in the field of osteoporosis and bone metabolic cells. The number of publications in this field remains consistently high, indicating ongoing research interest. Notably, the United States has made significant achievements and contributions in this area. Xie Hui, Cao Xu, and Goodman, Stewart are among the main contributors to these advancements. NATURE MEDICINE has the highest journal impact factor of 82.9, highlighting its prominence. The JOURNAL OF BONE AND MINERAL RESEARCH ranks first with 1,322 citations. Keyword research topics in this field include osteoclast differentiation, osteoblast differentiation, and mesenchymal stem cells. Through citation analysis, we found that 195 articles have been cited more than 100 times, demonstrating their significance and impact. This study analyzed the relationship between osteoporosis and bone metabolic cells using a bibliometric method. The results of these analyses can help researchers gain a more direct and scientific understanding of trends in the field. Additionally, it can provide guidance in identifying hot research directions and offer new ideas for the prevention and treatment of osteoporosis.

Ye L ，Hua Z ，Ding X ，Wang J ... -  《-》

Bibliometric analysis of laryngeal cancer treatment literature (2003-2023).

Despite advancements in medical science, the 5-year survival rate for laryngeal squamous cell carcinoma remains low, posing significant challenges in clinical management. This study explores the evolution of key topics and trends in laryngeal cancer research. Bibliometric and knowledge graph analysis are utilized to assess contributions in treating this carcinoma and to forecast emerging research hotspots that may enhance future clinical outcomes. The findings aim to guide researchers by identifying new areas, providing valuable insights and innovative perspectives. Data were extracted from the Web of Science Core Collection database on December 1, 2023. Bibliometric and knowledge mapping analyses were conducted using software tools such as R-Studio 4.1.3, CiteSpace 6.1.R6, VOSviewer 1.6.18, and http://bibliometre.com.(Both CiteSpace 6.1.R6 and VOSviewer 1.6.18 are widely used bibliometric analysis software tools, each with distinct features and applications. CiteSpace primarily focuses on analyzing literature citation relationships and generating knowledge graphs to visualize research hotspots, trends, and knowledge structures. Its data sources include platforms such as Web of Science. While CiteSpace excels in presenting knowledge structures through its advanced visualization capabilities, it is relatively complex to operate and less efficient in processing large-scale datasets. As a result, it is frequently employed in exploring research trends across multiple disciplines. On the other hand, VOSviewer is designed to construct various types of bibliometric networks and is characterized by its intuitive and user-friendly interface. It supports a wide range of data sources and produces visually appealing and clear visualizations, making it particularly suitable for multi-disciplinary bibliometric research. Additionally, VOSviewer provides valuable insights that can inform scientific research decision-making. Overall, the two tools differ in terms of functionality, data sources, visualization effects, and operational complexity, offering researchers complementary options for bibliometric analysis based on their specific needs.) From this database, 800 papers were extracted using specific criteria. After narrowing the scope to English-language publications, this number was reduced to 775. To ensure data quality, conference papers, letters, and editorial materials were excluded, focusing only on original research papers and review articles. The analysis showed that 760 theoretical works and review papers were published in 96 academic journals by 4210 authors from 1148 institutions across 60 countries/regions. The United States emerged as the most significant contributor to laryngeal cancer research. The Croatian Rudjer Boskovic Institute was notable for having the highest publication and citation counts. Among individual researchers, Osmak, M was identified as the most prolific and cited. Predominant international collaborations occurred between European and American countries. The Head and Neck Science Journal was the most frequently co-cited publication. Major research themes encompassed morphological aspects, chemotherapy, and molecular pathway mechanisms in laryngeal cancer treatment. Current research hotspots include disease prognosis, models, clinical trials, tumor recurrence, and surveillance. Notably, targeted therapy and immunotherapy are rapidly advancing fields. There is an urgent need to enhance global scholarly communication as the pursuit of effective laryngeal cancer treatment progresses. Focused research on targeting indicators for this type of cancer remains vital. An impending surge in research is driven by investigations into biomarkers, microenvironmental genetic mechanisms, alternatives to systemic chemotherapy, minimally invasive surgery, and herbal medicine explorations.

Zhao Y ，Xue J 《Heliyon》

Trends and Most-Cited Articles on Hemispheric Surgery: A Bibliometric Analysis and Historical Review.

Hemispheric surgery is a multistep, highly effective, and radical surgical procedure in the treatment of drug-resistant epilepsy due to extensive unilateral hemispheric disease. The procedure ranges from a resective procedure (hemispherectomy) to disconnection (hemispherotomy) and has developed substantially over the last century from morbid to elegant, minimally invasive, and routinely practiced procedures. Bearing in mind the numerous articles that have been published on hemispherectomy and hemispherotomy, we aimed to highlight the top 100 cited and impactful articles to create familiarity with the topic. We anticipate that this will be a helpful guide for clinicians and academics navigating the literature on this subject. A Scopus title-based search on the top 100 most-cited articles on "hemispherectomy" and "hemispherotomy" was performed in September 2023 with no restrictions. The top 100 most-cited articles were then retrieved. The article title, first author, first author's specialty, country of origin, first author's institution at the time of publication, journal of publication, year of publication, citation count, and citations per year were collected. The Google Scholar database citation count for each paper was added for correlation and comprehensive coverage. The top 100 most-cited articles were cited 92 times per paper on average. The publication dates ranged from 1949 to 2016. The most frequently cited article "Clinical outcomes of hemispherectomy for epilepsy in childhood and adolescence" with 307 citations was published by A.M. Devlin et al. (2003) in the journal Brain. The USA was the highest publishing country (41 articles). The highest-publishing journal was Neurology. The most prolific first authors were A. Smith, J. Schramm, and J. Villemure, each with four publications. The institution with the most contributions was McGill University and its affiliated Health Centers, with nine publications in total. Neurosurgery was the most common specialty among the first authors. Most of the included studies were cohort studies or case series. We identified the top 100 cited articles on hemispherectomy and hemispherotomy using the Scopus database and supplemented our results with Google Scholar. We highlighted the most prominent authors, institutions, countries, journals, and study designs and illuminated the historical development of hemispherectomy and hemispherotomy procedures, in addition to landmark and currently trending papers.

Basalamah AA ，Saleh T ，Albloushi M ，Alotaibi F ... -  《-》