Most-cited Articles Research Articles

The composition of choroid plexus tumor research: a bibliometric analysis of the 100 most impactful studies to date.

Choroid plexus tumors (CPT) are relatively rare CNS tumors that primarily occur in children. They are classified as low-grade choroid plexus papilloma, including atypical ones, and high-grade choroid plexus carcinoma based on histological characteristics. There has been extensive academic research regarding these complex tumors. The goal of this work was to identify the 100 most-cited articles pertaining to CPTs in order to better understand the most impactful studies to date. In August 2023, Elsevier's Scopus database was searched for the 100 most-cited articles about CPT. To look for trends, articles were classified as either basic science or clinical, and the earliest 50 articles were separated from the latest 50 articles and then were compared. Various bibliometric parameters were summarized and compared using Pearson's chi-square exact test and Wilcoxon rank sum test/Mann-Whitney U test. The 100 most-cited articles were published between 1955 and 2016 in 53 different scientific journals, originating from 16 distinct countries. Over 75% of the articles were clinical in nature, and overall mean (range) values were as follows: citation count 78.5 (42-371), citation rate per year 3.4 (0.9-12), number of authors 6.2 (1-28). Newer articles had statistically higher citation rate (P < 0.01) and number of authors (P < 0.01) compared to their older counterparts. Additionally, while there was no significant difference in article focus (P = 0.64), there was a difference in study design (P < 0.01). This study used citation number as a surrogate for article impact and identified the 100 most-cited CPT articles. New mutational analyses have allowed for further subgrouping and positive trends in collaboration shine hope for improvement in treatment outcomes and long-term survival.

A Bibliometric Analysis of the Rise of ChatGPT in Medical Research.

The rapid emergence of publicly accessible artificial intelligence platforms such as large language models (LLMs) has led to an equally rapid increase in articles exploring their potential benefits and risks. We performed a bibliometric analysis of ChatGPT literature in medicine and science to better understand publication trends and knowledge gaps. Following title, abstract, and keyword searches of PubMed, Embase, Scopus, and Web of Science databases for ChatGPT articles published in the medical field, articles were screened for inclusion and exclusion criteria. Data were extracted from included articles, with citation counts obtained from PubMed and journal metrics obtained from Clarivate Journal Citation Reports. After screening, 267 articles were included in the study, most of which were editorials or correspondence with an average of 7.5 +/- 18.4 citations per publication. Published articles on ChatGPT were authored largely in the United States, India, and China. The topics discussed included use and accuracy of ChatGPT in research, medical education, and patient counseling. Among non-surgical specialties, radiology published the most ChatGPT-related articles, while plastic surgery published the most articles among surgical specialties. The average citation number among the top 20 most-cited articles was 60.1 +/- 35.3. Among journals with the most ChatGPT-related publications, there were on average 10 +/- 3.7 publications. Our results suggest that managing the inevitable ethical and safety issues that arise with the implementation of LLMs will require further research exploring the capabilities and accuracy of ChatGPT, to generate policies guiding the adoption of artificial intelligence in medicine and science.

A Bibliometric Analysis of Platelet Derivate Uses in Oral and Maxillofacial Surgery

Concentrated platelet derivatives (PDs) such as platelet-rich plasma (PRP) and platelet-rich fibrin (PRF) have been extensively applied in tissue engineering, and particularly in various fields of regenerative dentistry. The purpose of the present citation analysis was to compile the 100 top-cited articles on the PDs uses in oral and maxillofacial surgery. A cross-sectional search of the relevant studies in the Web of Science citation database was conducted to identify the 100 most-cited articles. All the included papers consisted of independent variables of this analysis. Covariates that were further considered were basic bibliometric indexes, such as publication year, publishing journal, authorship, institution and country of origin, study design, and field of study. The primary outcome variables were citation counts and citation density. A descriptive analysis of secondary outcome variables, namely bibliographic data such as keyword, abstract, title term co-occurrence analysis, thematic map and wordcloud analysis, was performed using the bibliometrix R and VOSviewer software. The total citation count for the 100 most-cited articles ranged from 85 to 1821, with 2002 being the most productive year. With 15 articles, the Journal of Periodontology was the most represented journal, followed closely by the Journal of Oral and Maxillofacial Surgery and Clinical Oral Implants Research. The United States published the largest number of papers. Original basic science research studies on implantology and biology dominated the top-cited list. Randomized clinical trials and systematic reviews were adequately represented in the top-cited list. Platelet-derived growth factor and osteoprotegerin represented emerging minimally developed themes, while PRP, growth factors and fibrin, along with the applications of PRF in gingival recession and intra bony defects, were considered important motor themes. The current study provides a complete list and in-depth analysis of the 100 most-cited publications relevant to PDs use in oral and maxillofacial surgery, identifying the most important research topics, most impactful authors, institutions, and countries. Though PRP studies were leading the top-cited list, publications focusing on PRF pesented higher citation density values, indicating a continuously increasing citation rate.

Analysis of the 50 Most Cited Articles on Dabigatran: A Bibliometric Study

Objective: Atrial fibrillation (AF) is the most common cardiac arrhythmia in adults. Anticoagulation significantly reduces stroke and related mortality in AF patients. This study conducted a bibliometric analysis of the top 50 most-cited articles in the literature on dabigatran, the first new-generation oral anticoagulant. Methods: We searched the Web of Science for articles with dabigatran in the title. The top 50 most cited articles (T50) were selected. Characteristics of the articles (such as author, source, institution, country, scientific category, number of citations, citation density, and citations per article) were analyzed. Results: T50 had a total of 33,301 citations. The average number of citations per article was 666. The United States of America (USA) was the most prolific country in T50, with 36 papers and 26,043 citations. Wallentin Lars from Uppsala University was the most prolific author, with 14 articles and 13,532 citations. Circulation was the most prolific journal, with 11 articles. Conclusions: We analyzed the classic publications on dabigatran, the first new-generation oral anticoagulant. The most prolific country was the USA, author was Wallentin, and journal was Circulation. Researchers and clinicians can easily access influential publications by reviewing our study.

Bibliometric and Subject Analysis of 100 Most-Cited Articles in the Field of Art Therapy

ABSTRACT Bibliometric citation analyses have been widely used in medicine to help researchers gain foundational knowledge about a topic. The purpose of this study is to analyze the 100 most-cited articles in art therapy to determine their characteristics and to reveal the influential articles in this field. This applied and scientometric study was conducted using retrospective bibliometric and co-occurrence analysis (by VOSviewer software). One hundred of the most-cited articles in the field of art therapy were retrieved from Scopus and analyzed. In this article, the most productive journals, authors, countries, and institutions in producing the 100 most-cited articles were introduced. The co-occurrence maps showed that keywords including cancer, Alzheimer’s, schizophrenia, dementing disorders, and Post-Traumatic Stress Disorder had larger nodes. Moreover, depression, life quality, anxiety, and stress were among other studied concepts. This finding indicates the positive effect of art therapy in the treatment of various diseases, particularly cancers and mental disorders.

Identification and analysis of communication barriers for construction projects with time uncertainties

PurposeThe purpose of this study is to improve communication success through barrier identification and analysis so that the identified barriers can help project teams establish effective information-exchange strategies.Design/methodology/approachThe recent publications on construction communication about time management are reviewed. Then, the semi-structured interviews are performed with both questionnaires and audio recordings (n1 = 18). Next, the collected data are analyzed using both statistical measures on the questionnaire survey and qualitative coding analysis on the text transcripts from an audio recording. Particularly, the identified barriers are substantiated using a scientometrics approach based on the published articles (2011–2020, n2 = 52,915) for purposeful information-sharing solutions in construction time management. Furthermore, the intervention strategies from the top 10 most-cited articles are analyzed and validated by comparisons with the results from construction surveys and relevant studies.FindingsBased on the discussed communication difficulties, five main barriers were identified during time-cost risk management: probability and statistical concepts, availability of data from external resources, details of team member experiences, graphics (and graphical presentation skills), and spatial and temporal (a.k.a. 4D) simulation skills. For the improvement of communication skills and presentation quality regarding probability and statistical concepts, project teams should emphasize context awareness, case studies and group discussions. Details of communication techniques can be adjusted based on the backgrounds, experiences and expectations of team members.Research limitations/implicationsThe dataset n1 has both size and duration limits because of the availability of the invited industry professionals. The dataset n2 considers the literature from 2011 to 2020. Any before-the-date and unpublished studies are not included in the study.Practical implicationsA thorough comprehension of communication barriers can help project teams develop speaking, writing and analytical thinking skills that will enable the teams to better deliver ideas, thoughts and meanings. Additionally, the established discussion on barrier-removal strategies may enhance time management effectiveness, reduce project delays, avoid confusion and misunderstanding and save rework costs.Social implicationsThis research calls for the awareness of communication barriers in construction project execution and team collaboration. The identified barriers and the established solutions enrich the approaches of construction companies to share information with communities and society.Originality/valueThis is the first identification model for communication barriers in the time management of the construction industry to the authors' knowledge. The influencing factors and the countermeasures of communication difficulties highlighted by the research were not examined systematically and holistically in previous studies. The findings provide a new approach to facilitate the development of powerful communication strategies and to improve project execution.

Welcome to the New Issue (Vol: 29, No: 3, 2023) and Current News of the European Journal of Therapeutics

Welcome to the New Issue (Vol: 29, No: 3, 2023) and Current News of the European Journal of Therapeutics

Artificial intelligence in orthodontics and orthognathic surgery: a bibliometric analysis of the 100 most-cited articles

BackgroundThe application of artificial intelligence (AI) in orthodontics and orthognathic surgery has gained significant attention in recent years. However, there is a lack of bibliometric reports that analyze the academic literature in this field to identify publishing and citation trends. By conducting an analysis of the top 100 most-cited articles on AI in orthodontics and orthognathic surgery, we aim to unveil popular research topics, key authors, institutions, countries, and journals in this area.MethodsA comprehensive search was conducted in the Web of Science (WOS) electronic database to identify the top 100 most-cited articles on AI in orthodontics and orthognathic surgery. Publication and citation data were obtained and further analyzed and visualized using R Biblioshiny. The key domains of the 100 articles were also identified.ResultsThe top 100 most-cited articles were published between 2005 and 2022, contributed by 458 authors, with an average citation count of 22.09. South Korea emerged as the leading contributor with the highest number of publications (28) and citations (595), followed by China (16, 373), and the United States (7, 248). Notably, six South Korean authors ranked among the top 10 contributors, and three South Korean institutions were listed as the most productive. International collaborations were predominantly observed between the United States, China, and South Korea. The main domains of the articles focused on automated imaging assessment (42%), aiding diagnosis and treatment planning (34%), and the assessment of growth and development (10%). Besides, a positive correlation was observed between the testing sample size and citation counts (P = 0.010), as well as between the time of publication and citation counts (P < 0.001).ConclusionsThe utilization of AI in orthodontics and orthognathic surgery has shown remarkable progress, particularly in the domains of imaging analysis, diagnosis and treatment planning, and growth and development assessment. This bibliometric analysis provides valuable insights into the top-cited articles and the trends of AI research in this field.

The 100 most-cited and 100 most-mentioned COVID-19-related radiological articles: a comparative bibliometric analysis.

This study aimed to identify the 100 most-cited and 100 most-mentioned coronavirus disease-2019 (COVID-19)-related radiological articles and compare their characteristics. We searched the Web of Science and Altmetric.com using the search terms "COVID," "COVID-19," "Coronavirus," "SARS-CoV-2," "nCoV," and "pandemic" to identify the most-cited and most-mentioned COVID-19-related articles. We identified the top 100 most-cited and 100 most-mentioned articles in the field of radiology, regardless of their publication journal. We extracted the information from the listed articles and compared the characteristics between the most-cited and most-mentioned. Thirty (30%) articles were featured in the lists of the most-cited and most-mentioned articles. The comparison of the 100 most-cited and most-mentioned articles on each list showed that the most frequently cited articles were published in November 2020 and before (p < .001), originated from China (p < .001), covered the topic of diagnosis of COVID-19 (p < .001), and were related to the subspecialty of pulmonary imaging (p < .001); the most frequently mentioned articles were published in December 2020 and after (p < .001), originated from the USA (p < .001), covered the topic of diagnosis of sequelae of COVID-19 (p = .013) and post-vaccination complications (p < .001), and were related to the subspecialties of cardiac imaging (p < .001) and neuroradiology (p < .013). Significant differences were observed in publication date, country of origin, topic, and subspecialty of scientific knowledge related to COVID-19 in the field of radiology, between citation and public dissemination. This bibliometric analysis compares the 100 most-cited and 100 most-mentioned COVID-19-related radiologic articles, aiming to provide valuable insights into the patterns of knowledge dissemination during the pandemic era. • Thirty articles were featured on the lists of the 100 most-cited and 100 most-mentioned COVID-19-related articles. • The 70 unique most-cited articles more frequently originated from China (48.6%), while the unique most-mentioned articles more frequently originated from the USA (51.4%) (p < 0.001). • The 70 unique most-mentioned articles were more frequently related to cardiac imaging (25.7% vs.0%, p < 0.001) and neuroradiology (15.7% vs. 1.4%, p < 0.005) compared to the unique most-mentioned articles.

A bibliometric study of the top 100 most cited papers on aging and cancer.

Cancer has been the major and increasing cause of premature death and years of life lost. Various studies suggested the correlation between the aging process and cancer genesis. To evaluate the performance of the articles and to identify and compare the top-cited articles on aging and cancer, a cross-sectional bibliometric analysis was performed. Top-cited articles that were indexed in the Core databases in Web of Science were utilized to identify articles published from inception to September 3, 2022. The top 100 most-cited articles on aging and cancer were evaluated for their specific characteristics. Both Microsoft Office Excel and Visual Basic for Applications were used to analyze the number of publications and scientific cooperations among authors over time. The query identified the top 100 most-cited articles from the 368,504 articles. The top cited articles accumulated 308,106 citations. The citations per article ranged from 39,141 to 1040. Thirty journals published these 100 articles, with the Ca-A Cancer Journal for Clinicians publishing the largest number. Most articles have focused on the trend analysis of incidence, survival outcomes, and prognosis of cancer from different origins. Co-authorship analysis revealed intense collaborative activity between United States authoritative academic institutions and scholars. The present study is the first to analyze most cited papers in "aging and cancer." The historical trends, current status, and future direction in the field of older patients with cancer are systematically summarized. The occurrence and development of cancer is correlated with aging.

Current knowledge and future research directions of medical tourism: insights from a bibliometric analysis

ABSTRACT The increasing number of published articles indicate the growth in the literature on medical tourism (MT). Using the performance analysis, we identify publication trends, most-cited articles, and analysis of methodologies used. Moreover, the current knowledge of MT is also synthesized using a keyword co-occurrence network, indicating 5 clusters and themes. These include the tourism market, health tourism, health services, medical tourism, and tourism. We also highlight 5 major research fronts or themes currently in focus and expanding. We aim to help academics and practitioners increase their understanding of MT and provide directions for future research.

Global Research Trends and Hotspots Analysis of the Scientific Production of Amitriptyline: A Bibliometric Approach.

Amitriptyline was first introduced as a medication to treat depression. Over time, this substance has been used to treat other conditions, such as gastrointestinal disorders, fibromyalgia, neuropathic pain, and analgesia, among others. However, there are no published studies that provide a broad view of the possible motivations that have led to changes in the use of amitriptyline. In this study, we have identified the landscape of use for amitriptyline based on knowledge mapping of the 100 most-cited articles about this drug. We searched Web of Science Core Collection without time and language restrictions. We obtained 14,446 results, but we only used the 100 most-cited articles that had amitriptyline as the object of study. We collected the following information from each article: authors, country of the corresponding authors, year of publication, citation count, citation density (number of citations per year), and keywords. In addition, we seek to map in the chosen articles study design and research findings. We found that since 1980, the use of amitriptyline has expanded beyond depression, moving to off-label use to treat a variety of diseases and conditions, including post-herpetic neuralgia, neuropathic pain, primary fibrosis, fibromyalgia, and migraine, can be considered a drug with more clinical applicability than its original clinical indication.

Bibliometric and visualized analysis of the top-100 highly cited articles on immunotherapy for endometrial cancer.

Immunotherapy is a promising method for the treatment of endometrial cancer (EC). We aimed to conduct a comprehensive bibliometric study of the top 100 most-cited publications on immunotherapy for EC and provide a reference for future research. Global publications on immunotherapy for EC published from 1985 to the present in the Web of Science core database were retrieved. We focused on the study of the top 100 most-cited articles by extracting information such as year, country, journal, author, institution, literature, and keywords. Microsoft Excel, VOSviewer, and R were used to perform descriptive statistics and visual analyses. The top 100 most-cited articles were published between 2002 and 2022, including 70 original papers and 30 reviews. The total frequency of citations per article ranges from 15 to 287. Developed countries dominated these publications, with the United States contributing the most (50 articles). According to Bradford Law, 6 journals, including Gynecologic Oncology and the Journal of Clinical Oncology, are highly recommended. Santin A. D. from Yale University and Makker.V. from Memorial Sloan Kettering Cancer Center have made positive contributions. Among the top ten most-cited articles, 7 focused on clinical trials exploring the efficacy of immunotherapy drugs, of which 4 were lenvatinib combined with pembrolizumab for the treatment of advanced EC. The immune-microenvironment, immune antitumor mechanisms, immunomodulatory drugs, especially anti-pd-1/pd-l1 checkpoint inhibitors, and their clinical trials are the focus of current research. The attention of researchers from different countries to EC immunotherapy, especially immunosuppressants, has brought a breakthrough in this field. A large number of clinical trials have evaluated the efficacy and safety of immune agents, and immune combination therapy (especially targeted therapy) shows positive therapeutic promise. Immunodrug sensitivity and adverse events remain urgent issues. The key to promoting the development of EC immunotherapy is to select the best patients according to the molecular classification and immunophenotype such as tumor mutation load, MMR status, pd-l1 expression, tumor infiltrating immune cells to truly achieve accurate and personalized treatment. More new and influential EC immunotherapies, such as adoptive cell immunotherapy, still need to be explored in future clinical practice.

Analyzing the Evolution of Medical Ethics Education: A Bibliometric Analysis of the Top 100 Cited Articles.

Ethics education plays a pivotal role in healthcare by providing professionals and students with the essential competencies to navigate intricate ethical challenges. This study conducts a comprehensive bibliometric analysis of the most-cited articles on ethics education, investigating parameters such as citation count, document types, geographical origin, journal analysis, publication year, author analysis, and keyword usage. The findings reveal a substantial impact characterized by high citation counts and the influence of a prominent publication focusing on the hidden curriculum and structure of medical education. Moreover, the analysis demonstrates a discernible increase in research output since 2000, signaling a growing recognition of the significance of ethics education in the healthcare domain. Notably, specific journals, particularly those dedicated to medical education and ethics, emerge as major contributors in this field, publishing many articles. Renowned authors have made noteworthy contributions, and emerging themes encompass the ethical implications of virtual reality and artificial intelligence in healthcare education. Additionally, undergraduate medical education garners significant attention, emphasizing the importance of establishing ethical values and professionalism early. Overall, this study highlights the imperative of interdisciplinary collaboration and the necessity for effective ethics education programs to equip healthcare professionals with the requisite skills to navigate complex ethical challenges. The findings inform educators, curriculum developers, and policymakers about enhancing ethics education and ensuring the ethical competence of future healthcare practitioners.

Characteristics and Research Trends of the 100 Most-Cited Flatfoot Articles.

Bibliometric studies in the field of orthopedics have increased because of the large volume of the available literature that prevents understanding the general status of the related field. This study aimed to identify and analyze the 100 most-cited articles related to flatfoot to reveal their characteristics and research trends. Available literature on the Web of Science database until the end of 2020 were analyzed, and the 100 most-cited articles were determined. The characteristics of articles including publication year, authors, institutions, country, journal, number of pages, number of references, study design, level of evidence, main topic, age group, the specialty of the first author, and availability of funding were extracted and statistically analyzed for any association with the number of citations or citation density. The average citation number was 63.1 ± 43.8 (range, 30-278). The average citation density was 3.4 ± 1.8 (range, 0.8-12.6). The United States was the leading country with 65 articles, followed by Taiwan and the United Kingdom with five articles from each. Twenty-six papers had Level III evidence and 36 papers had Level IV evidence. Only three studies had Level I evidence and three had Level II evidence. The majority of articles (43 papers) were published in Foot & Ankle International. Citation density was positively correlated with publication year (P < .001) and the number of references (P = .004). The available data provide general characteristics of the 100 most influential papers about flatfoot. The vast majority of papers had a low level of evidence, indicating the need for higher quality research.

Sürdürülebilir Ticaret ve Yeşil Lojistik Konusunda Web of Science (WoS) Veritabanında Yayınlanan Makalelerin Bibliyometrik Analizi

Abstract The purpose of this study to examine the articles regarding the sustainability trade and green logistics and to ensure insight for the state and development of academic research in the relevant fields using bibliometrics analysis. The data were gathered from WoS database to observe the publication trends in the period of 2007-2022. A total of 528 articles were reviewed within the scope of this study. The visualization of the data was carried out through the MAXQDA Analytics Pro. The articles were analyzed under the following sub-headings: distribution of articles by years, frequency of keywords, productivity of institutions and country, performance of the publishers and journals, most preferred research method and top 5 most-cited articles. The findings indicated that the number of publications on relevant fields have increased significantly since 2015. The most publications relevant fields are released and recorded by Asian institutions, which is then followed by European institutions. The most publications on relevant fields are released and supported by Elsevier and MDPI publishing companies. The most publications on relevant fields are released in the Sustainability and Journal of Cleaner Production. Researchers in Europe have already started to pay attention and investigate trade and logistics in the context of sustainability since 2010. Academicians have mostly preferred to utilize quantitative methods during the scientific research. Keywords: Sustainable Trade, Green Logistics, Bibliometrics, WoS, MAXQDA Jel Codes: F10, M10, Q56

The 100 top-cited articles in the field of Wilson’s disease from 1990 to 2022: A bibliometric study

ObjectivesTo characterize the 100 most-cited articles in the field of Wilson’s Disease (WD) to provide a general overview and reveal the historical developments classical studies, and new findings. DesignWD-related articles were searched on the Web of Science database. The 100 most-cited articles were retrieved and their descriptive statistics were analyzed. Data extraction and synthesisThe 100 most-cited articles in the field of WD were selected and several parameters, including citation count, citation density, first author, corresponding author, journal, country, institution, and keywords were extracted to assess the overall quality and impact of the articles. ResultsMost of the selected 100 articles were published in the 1990s and 2000s, with the highest number of articles published in 2005. Citations per paper ranged from 100 to 1,631, with a mean number of citations of 199.03. The top 100 articles were published in 38 journals, and the majority were published in the Journal of Biological Chemistry. The most prominent research themes were clinical presentations, clinical trials, copper transport mechanisms, and dysregulation of copper metabolism. Prof. Svetlana Lutsenko, Prof. Peter Ferenci, Prof. George J. Brewer, and Prof. Diane W. Cox were among the most influential researchers in this field, while Euro-American countries were the most dominant in terms of research output. Keywords network analysis identified "Transporting ATPase," "ATP7B," and “Menkes disease” as the most influential keywords. Moreover, disease management, WD clinical phenotype, ATP7B function, and copper metabolism are potential hotspots in future WD research. ConclusionsThis study reveals the most influential articles in the field of WD research. In addition, the major research themes and technological innovations in the field of WD worldwide are presented.

The following article for this Special Issue were previously published and can be found in its respective issue online.

Tooth auto‐transplantation: A bibliometric analysis of the top 100 most‐cited articles (39.1) https://onlinelibrary.wiley.com/doi/epdf/10.1111/edt.12779

#6843 CITATION CLASSICS IN LUPUS NEPHRITIS: A BIBLIOMETRIC ANALYSIS

Abstract Background and Aims Lupus nephritis is an important risk factor for morbidity and mortality in systemic lupus erythematosus. During the past three decades, extensive research has been done to address this important complication and devise better management strategies. In this article we aimed to perform a thorough assessment of the research productivity in lupus nephritis by identifying the 100 most-cited articles in lupus nephritis. Methods The top 100 most-cited English language articles on lupus nephritis from 1990 were examined by bibliometric analysis from the Google Scholar database of ‘Harzing's Publish or Perish’ software. These articles were subsequently analysed in detail and the chief characteristics are presented here. Results From 1990-2022, there were 111358 citations with 3480 cites/year and an average of 111 cites/paper. Thirty articles had greater than 400 citations, with 9 having more than1000 citations. Majority of the publications were from the United States of America (46%) with maximum publications from the National Institute of Health (NIH), Bethesda. Among these 100 most-cited articles, there were a median of 7 (5-12) authors per article with a mean of 9.6 authors. Twenty-six percent of the top-100 most-cited articles were randomized controlled trials while cohort and in-vivo studies addressing pathophysiology and biopsy related data accounted for one-fourth each. Among rheumatology journals, ‘Arthritis Rheum’, ‘Ann Rheum Dis’ and ‘Lupus’ were the most preferred journals for researchers working on lupus nephritis. Conclusion This article gives an overview of the research productivity, landmark publications and emerging trends in lupus nephritis. Increased emphasis on high-quality data from randomized controlled trials is revolutionising the management of lupus nephritis.

The 100 Top-Cited Articles on Robotic Neurosurgery: A Bibliometric Analysis

Robotic neurosurgery is a rapidly advancing field with numerous applications in various subspecialties, including spine, functional, skull base, and cerebrovascular. This study aims to provide a comprehensive analysis of the most-cited articles on robotic neurosurgery. The Web of Science database was used to collect data, and bibliometric analysis was performed using VOSviewer and RStudio. Network analysis techniques such as co-occurrence, coauthorship, bibliographic coupling, and thematic mapping analyses were used to identify the top 100 most cited articles, major contributors, emerging trends, and noteworthy themes in the field. The results showed that there has been a steady increase in the number of publications on robotic neurosurgery since 1991, with an exponential growth in the number of citations. The United States was the most common country of origin for articles, followed by Canada. The most productive authors in this field were Burton S.A. and Gerszten P.C., while the University of Pittsburgh was the most productive institution, and Neurosurgery was the most productive journal. Themes such as robotics, back pain, and prostate cancer, as well as trends in developing new technologies and improving the precision of surgical procedures, were identified. This study provides a comprehensive analysis of the most-cited articles on robotic neurosurgery. The broad range of topics and techniques explored emphasize the importance of continued innovation and investigation. Ultimately, the study's findings provide valuable guidance for future research and contribute to advancing our understanding of this critical area of study.