Bibliometric Analysis of the Research on Anti-Müllerian Hormone and Polycystic Ovary Syndrome: Current Status, Hotspots, and Trends

Bingqing Ran ¹ Cai Liu ² Yajun He ² Lizhu Ma ³ Fang Wang ^3*

• ¹ Gansu University of Chinese Medicine, Lanzhou, Gansu, China
• ² Lanzhou University, Lanzhou, Gansu Province, China
• ³ Lanzhou University Second Hospital, Lanzhou, China

Background： Polycystic Ovary Syndrome (PCOS) is a common endocrine and metabolic disorder affecting women of reproductive age. Over the past 30 years, significant efforts have been devoted to exploring its various pathogenic mechanisms, physiological and pathological characteristics, and biomarkers. Among these, Anti-Müllerian Hormone (AMH), as a biomarker for PCOS, is a significant biomarker for diagnosing, treating, and monitoring. However, the individual key information extracted from numerous studies is difficult to apply in clinical practice. Therefore, this article employs bibliometric analysis to summarize the current state of knowledge and offer future perspectives. Methods： The Science Citation Index Expanded (SCI-E) within the Web of Science Core Collection database has been identified as the material source for obtaining articles related to AMH and PCOS. Software such as Origin, Microsoft Excel, Pajek, VOSviewer, and CiteSpace were used for bibliometric analysis and statistical assessment, evaluating countries, institutions, journals, references, and authors, as well as for constructing visual knowledge network maps. Results: From 1994 to 2024, a total of 1,082 articles were included in the bibliometric analysis of research on AMH and PCOS. The number of publications in this field has consistently increased, with contributions from 70 countries, 1,363 institutions, and 5,144 researchers worldwide. Among them, the United States and China are the two countries with the highest number of publications. Zhejiang University, Monash University, and Peking University rank among the top three institutions exhibiting explosive citation bursts. The author with the highest publication volume is Didier Dewailly. The predictive keywords associated with these articles include "consensus," "morphology," "criteria," "prevalence," and "Müllerian hormone." Conclusions： Through bibliometric analysis, this study has identified the primary research hotspots in the field of AMH and PCOS as follows: (1) Refining the diagnostic criteria for PCOS by using AMH as a biomarker; (2) Exploring the molecular role of AMH in the pathophysiological processes of various PCOS phenotypes and its potential as a therapeutic target; (3) Analyzing the impact of baseline AMH levels on female reproductive health and other biomarkers; (4) Investigating the signalling mechanisms of AMH in PCOS and its role in disease progression.