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Application of Machine Learning and Emerging Health Technologies in the Uptake of HIV Testing: Bibliometric Analysis of Studies Published From 2000 to 2024

The articles used for this bibliometric analysis were gathered from the Web of Science (Wo S) database. The Wo S is one of the world’s top databases for scientific research and citation data, encompassing a wide range of areas such as medicine and health care [18-20]. It has been recognized as a legitimate platform for bibliometric analysis [19-23].

Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Lateef Babatunde Amusa, Hossana Twinomurinzi, Refilwe Nancy Phaswana-Mafuya

Interact J Med Res 2025;14:e64829

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Exploring 97 Years of Aedes aegypti as the Vector for Dengue, Yellow Fever, Zika, and Chikungunya (Diptera: Culicidae): Scientometric Analysis

The United States together with Brazil published the most study on Aedes aegypti aligning with other worldwide dengue bibliometric studies, showing these countries were the most productive countries [77], given that Aedes aegypti is the main vector for dengue disease in the countries. Authors from neighboring countries tended to collaborate more within their regions. International coauthorship has a strong positive effect on the number of articles and citations a country produces [78,79].

Yoon Ling Cheong, Sumarni Mohd Ghazali, Mohd Hazilas Mat Hashim, Mohd Khairuddin Che Ibrahim, Afzufira Amran, Tsye Yih Tiunh, Hui Li Lim, Yong Kang Cheah, Balvinder Singh Gill, Kuang Hock Lim

Interact J Med Res 2025;14:e65844

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Current Status and Future Directions of Ferroptosis Research in Breast Cancer: Bibliometric Analysis

However, the literature concerning breast cancer and ferroptosis currently appears highly fragmented, and a systematic bibliometric analysis to consolidate this information is lacking, making it difficult to accurately summarize the research status and future direction of this field. In response, this study aims to use bibliometric methods to conduct a comprehensive and objective analysis of the current status and future trends in breast cancer and ferroptosis research.

Jia-Yuan Luo, Yu-Long Deng, Shang-Yi Lu, Si-Yan Chen, Rong-Quan He, Di-Yuan Qin, Bang-Teng Chi, Gang Chen, Xia Yang, Wei Peng

Interact J Med Res 2025;14:e66286

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Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis

No bibliometric analysis has ever been conducted to assess medical education, which is essential for medical talent reserve. Therefore, a comprehensive analysis of current scientific literature is imperative for the continued advancement of AIME. Bibliometrics uses mathematical and statistical methodologies to evaluate scholarly productivity and publication patterns within a specific discipline.

Rui Li, Tong Wu

Interact J Med Res 2025;14:e63775

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Gender Representation in Authorship of Academic Dermatology Publications During the COVID-19 Pandemic: Cross-Sectional Study

Reference 7: Top authors in dermatology by h-index: a bibliometric analysis of 1980-2020bibliometric

Mindy D Szeto, Melissa R Laughter, Mayra B C Maymone, Payal M Patel, Torunn E Sivesind, Colby L Presley, Steven M Lada, Kayd J Pulsipher, Henriette De La Garza, Robert P Dellavalle

JMIR Dermatol 2024;7:e50396

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Twenty-Five Years of Progress—Lessons Learned From JMIR Publications to Address Gender Parity in Digital Health Authorships: Bibliometric Analysis

bibliometric bibliometric analysisProgress—Lessons Learned From JMIR Publications to Address Gender Parity in Digital Health Authorships: Bibliometric

Annika Meyer, Thomas Streichert

J Med Internet Res 2024;26:e58950

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Chinese Health Insurance in the Digital Era: Bibliometric Study

We analyzed the hot spots extracted from high-quality publications and articles based on a bibliometric methodology. We also linked them with future comprehensive studies to illustrate the research frontiers and future roadmap of Chinese health insurance in telemedicine and IPHC service enhancement in the digital era.

Zhiyuan Hu, Xiaoping Qin, Kaiyan Chen, Yu-Ni Huang, Richard Szewei Wang, Tao-Hsin Tung, Yen-Ching Chuang, Bing-Long Wang

Interact J Med Res 2024;13:e52020

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Research Trends and Evolution in Radiogenomics (2005-2023): Bibliometric Analysis

Therefore, the aim of this study was to summarize the research status and dynamic changes of research hot spots in radiogenomics over time using bibliometric methods, thus providing a comprehensive understanding of the emerging trends in this field. The published literature on radiogenomics was retrieved from the Web of Science Core Collection (Wo SCC), which is the most widely used database in bibliometric analysis, on March 1, 2024 [15].

Meng Wang, Yun Peng, Ya Wang, Dehong Luo

Interact J Med Res 2024;13:e51347

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Inverted Classroom Teaching of Physiology in Basic Medical Education: Bibliometric Visual Analysis

A recent bibliometric analysis on ICT revealed its ability to reallocate the teaching content taught in traditional classrooms outside the classroom for students to study on their own before the class. The resulting saved classroom time is then used for various student-centered learning activities such as problem-based and inquiry-based learning [4,7,8].

Zonglin He, Botao Zhou, Haixiao Feng, Jian Bai, Yuechun Wang

JMIR Med Educ 2024;10:e52224

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Global Trends in mHealth and Medical Education Research: Bibliometrics and Knowledge Graph Analysis

Bibliometric analysis is a quantitative analysis method combining mathematics and statistics that focuses on the bibliometric characteristics of a research field to help researchers better understand the development trends in the field for guiding more in-depth research [5-7]. As research on m Health continues to deepen, there have been an increasing number of articles published in the field.

Yuanhang He, Zhihong Xie, Jiachen Li, Ziang Meng, Dongbo Xue, Chenjun Hao

JMIR Med Educ 2024;10:e52461

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