Mapping research fronts of reproductive medicine using the NHANES database: A bibliometric and thematic analysis

Jie Yang Obaseki, Jun Liao, Yan Gao, Yue Gu, Yun-Xiang Chen, Ling-Yun Zhao, Qiu-Yi Yan, Hui-Min Li

Abstract

Reproductive health, infertility, and perinatal diseases significantly challenge human health development and continuity, requiring multidisciplinary approaches for enhanced academic understanding and practical solutions. This study used bibliometric analysis to examine related articles in the  web of science (WoS) database, employing tools including bibliometrix and VOSviewer for systematic literature analysis. To capture the broader context of high-impact research, we first analyzed 1,026 highly-cited and hot papers in reproductive medicine, which revealed evolving thematic trends and global collaboration patterns. Then we examined 232 literatures using NHANES datasets for reproductive health research to identify research gaps and opportunities for further research in this field. The analysis revealed key trends, areas of concentration, and potential knowledge gaps in the literature, while the thematic analysis of reproductive health studies utilizing the NHANES database further underscored the wealth of data amenable to multidisciplinary investigation. Future research directions to explore new dimensions of reproductive health, improving health policies and clinical practices in this field using NHANES database are also suggested. The study concludes that multidisciplinary research using comprehensive datasets like NHANES is crucial for advancing understanding of reproductive health, infertility, and perinatal outcomes.

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