Global research trends on subtypes of Parkinson's disease: A visual bibliometric analysis

Parkinson's disease (PD) is a neurodegenerative disease with different subtypes. More accurate subtype classification is significant for understanding the pathogenesis of PD, predicting disease progression, and selecting effective treatment methods. A bibliometric analysis of relevant research on PD subtypes is presented in this study. Original research and review articles related to PD subtypes from January 1, 2015 to December 31, 2024 were retrieved from the Web of Science Core Collection (WOSCC) database. After screening, 2213 articles were obtained. Statistical analysis and visualization of country, institution, author, journal, and keyword information contained in the studies were performed using CiteSpace (v6.2. R4) and VOSviewer (v1.6.20.0) software to identify research hotspots and trends in the field. The 2213 articles used in this study were from 11740 authors from 3117 institutions in 93 countries and published in 481 journals. From the analysis, it was found that the number of annual publications in this field has been increasing year by year in the past 10 years. The United States contributed the most to this research direction, with the largest number of publications (604) and citations (31, 284), and the strongest connection with other countries. 'Motor disorder ' is the most frequently cited journal, and ' Parkinson 's disease-related disorder ' is the most frequently published journal. "Parkinson's Disease", "Dementia", "Subtypes", and "Progress" are frequently used keywords, while "Rem sleep", "networs", and "machine learning" are the focus of research in recent years. The bibliometric analysis offers a comprehensive insight into present research focal points and evolving patterns associated with PD subtypes. High-frequency keywords pinpointed underscore dynamic research fields encompassing methodologies, mechanisms, and engaged populations. These findings can provide guidance for future research on PD subtypes.

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Publication Details

Journal
Archives of Gerontology and Geriatrics Plus
Published
2025-05-08
DOI
https://doi.org/10.1016/j.aggp.2025.100166
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Global research trends on subtypes of Parkinson's disease: A visual bibliometric analysis

Xianwen Chen, Su Yan, Sheng Cai, Yang Xu
Archives of Gerontology and Geriatrics Plus
Parkinson's Disease Mechanisms and Treatments
article

Global research trends on subtypes of Parkinson's disease: A visual bibliometric analysis

Xianwen Chen, Su Yan, Sheng Cai, Yang Xu
article en

Abstract

Parkinson's disease (PD) is a neurodegenerative disease with different subtypes. More accurate subtype classification is significant for understanding the pathogenesis of PD, predicting disease progression, and selecting effective treatment methods. A bibliometric analysis of relevant research on PD subtypes is presented in this study. Original research and review articles related to PD subtypes from January 1, 2015 to December 31, 2024 were retrieved from the Web of Science Core Collection (WOSCC) database. After screening, 2213 articles were obtained. Statistical analysis and visualization of country, institution, author, journal, and keyword information contained in the studies were performed using CiteSpace (v6.2. R4) and VOSviewer (v1.6.20.0) software to identify research hotspots and trends in the field. The 2213 articles used in this study were from 11740 authors from 3117 institutions in 93 countries and published in 481 journals. From the analysis, it was found that the number of annual publications in this field has been increasing year by year in the past 10 years. The United States contributed the most to this research direction, with the largest number of publications (604) and citations (31, 284), and the strongest connection with other countries. 'Motor disorder ' is the most frequently cited journal, and ' Parkinson 's disease-related disorder ' is the most frequently published journal. "Parkinson's Disease", "Dementia", "Subtypes", and "Progress" are frequently used keywords, while "Rem sleep", "networs", and "machine learning" are the focus of research in recent years. The bibliometric analysis offers a comprehensive insight into present research focal points and evolving patterns associated with PD subtypes. High-frequency keywords pinpointed underscore dynamic research fields encompassing methodologies, mechanisms, and engaged populations. These findings can provide guidance for future research on PD subtypes.

Archives of Gerontology and Geriatrics PlusVol. 2(3)
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China, Foundation for Innovative Research Groups of the National Natural Science Foundation of China
Quality Education
Openalex Percentile: Top 84%
Parkinson's Disease Mechanisms and Treatments
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