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Knowledge mapping of biomarkers in amyotrophic lateral sclerosis: a comprehensive bibliometric and visual analysis
Yan Huang1, Yantong Wan2, Jie Chen3
1School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Background:
Amyotrophic Lateral Sclerosis (ALS) is a severe neurodegenerative disease, and there is currently an urgent need to identify valuable biomarkers to accelerate diagnosis, optimize treatment and prognosis.
Methods:
To conduct a bibliometric analysis of publications related to "ALS biomarker" over the past 20 years, utilizing the subject search feature of the Web of Science Core Collection along with CiteSpace, VOSviewer, and Bibliometrix.
Results:
This review presents a 20-year bibliometric analysis of ALS biomarker research (2004-2024), analyzing 2535 publications showing rising trends. The United States led contributions, with Turner, Martin R as the most productive/cited author. Key research hotspots included cerebrospinal fluid, tdp-43, clinical trial, and neuroinflammation. Topics such as neurofilament light chain, machine learning, and exosomes could potentially represent the cutting edge of future research.
Conclusion:
In summary, this study uses bibliometric analysis of ALS biomarker research to provide a forward-looking perspective on its future limitations and potential.
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