AUTHOR=Lu Yangguang , Chen Yiqun , Jiang Zihan , Ge Yaoying , Yao Ruotong , Geng Shangze , Zhang Jinxiu , Chen Feng , Wang Yukai , Chen Guangyong , Yang Dehao TITLE=Research progress of ferroptosis in Parkinson’s disease: a bibliometric and visual analysis JOURNAL=Frontiers in Aging Neuroscience VOLUME=15 YEAR=2023 URL=https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2023.1278323 DOI=10.3389/fnagi.2023.1278323 ISSN=1663-4365 ABSTRACT=Background

In recent years, the role of ferroptosis in Parkinson’s disease (PD) has become a research hotspot based on evidence of abnormal iron deposition and lipid peroxidation damage in the brains of PD patients. This study aims to examine the relevant research on ferroptosis and PD from a bibliometric perspective.

Methods

Original research and review articles related to ferroptosis and PD were retrieved from the Web of Science Core Collection (WOSCC) database. Statistical analysis and visualization of information including countries, institutions, authors, journals, and keywords of the included studies were conducted using the R software package “bibliometrix.”

Results

A total of 414 articles met the inclusion criteria, averaging 37.86 citations per article. From 2012 to 2022, the average annual growth rate of research in this area was 63.44%. The corresponding authors of published articles were mainly affiliated with institutions in China, the United States, and Australia. Shanghai Jiao Tong University in China and the University of Melbourne in Australia emerged as the most active and influential institutions. The journal with the highest H-index and publication output was Free Radical Biology and Medicine. “Ferroptosis,” “immunotherapy,” “prognosis” and “microenvironment” were identified as high-frequency keywords, indicating current and future research directions in this field.

Conclusion

This bibliometric study provides insights into current research hotspots and emerging trends in the growing field of ferroptosis research related to PD. The high-frequency keywords identified highlight active areas of investigation involving methods, mechanisms, and populations of interest.