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ORIGINAL RESEARCH article

Front. Aging Neurosci.

Sec. Parkinson’s Disease and Aging-related Movement Disorders

Volume 17 - 2025 | doi: 10.3389/fnagi.2025.1535861

This article is part of the Research Topic Integrating Technology into Advanced Parkinson's Disease Management: From Screening and Evaluation to Treatment and Prevention View all 4 articles

Research Hotspots and Future Trends of Insomnia in Parkinson's Disease: A Bibliometric and Visualization Analysis from 1973 to 2024

Provisionally accepted
Xianghong Guo Xianghong Guo *Tianye Wang Tianye Wang Dan Wang Dan Wang Jingjing Zhou Jingjing Zhou Xin Lai Xin Lai
  • Suzhou Industrial Park Xinghai Hospital,, Suzhou, Liaoning Province, China

The final, formatted version of the article will be published soon.

    Background and Objective: Despite the growing body of research on Parkinson's disease (PD) and insomnia, comprehensive analysis of overall research trends remains limited. This study aims to evaluate these trends and identify research hot spots using bibliometric analysis.Methods: Publications on PD and insomnia from 1973 to 2024 were extracted from the Web of Science Core Collection. Analytical tools such as VOSviewer, CiteSpace, and R 4.3.3 were employed for evaluation.Results: A total of 610 publications are analyzed, demonstrating a consistent upward trend. The United States leads the field with 150 articles, representing 24.59% of total output, followed by China with 79 publications. Harvard University is the top contributing institution with 44 articles. Movement Disorders ranks as the leading journal, publishing 28 papers (4.59% of the total) and also securing the top spot in total citations. The most prolific author is Lima Marcelo M. S., with 15 publications and 50 recorded collaborations. Burst keyword analysis revealed increasing interest in terms such as "validation," "index," and "scale" since 2019.Research on PD and insomnia exhibits a clear upward trend, reflecting increasing academic interest. Future studies are expected to focus on the validation of diagnostic tools, the development of scales, and the integration of artificial intelligence and personalized medicine for improved treatment precision.

    Keywords: bibliometric analysis, Parkinson's disease, insomnia, VOSviewer, Citespace

    Received: 28 Nov 2024; Accepted: 17 Mar 2025.

    Copyright: © 2025 Guo, Wang, Wang, Zhou and Lai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xianghong Guo, Suzhou Industrial Park Xinghai Hospital,, Suzhou, Liaoning Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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