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Bibliometrics and Visualization Analysis of Neuromuscular Junction Model
Xincheng Du1, Wenwen Liu2, Jin Geng2
1School of Sports and Health Engineering, Hebei University of Engineering, Handan, P.R. China.
Neurology India
|May 23, 2025
Summary
This scientometric analysis reveals a rapid increase in research on neuromuscular junction models (NMJM) over two decades. The field is expanding from basic establishment to disease mechanisms, indicating future research directions.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Scientific Visualization
Background:
- Neuromuscular junctions are critical for voluntary motor control, representing the synapse between motor neurons and muscle fibers.
- Understanding these junctions is vital for addressing neuromuscular disorders.
- Neuromuscular junction models (NMJM) are increasingly utilized to study these complex biological systems.
Purpose of the Study:
- To conduct a scientometric analysis of research on neuromuscular junction models (NMJM).
- To construct and visualize networks related to NMJM using bibliometric methods.
- To identify trends and key contributors in the field of NMJM.
Main Methods:
- A comprehensive literature survey was performed using the Web of Science Core Collection (WoSCC).
- The search query "TS= (neuromuscular junction model)" was applied to titles, abstracts, and keywords.
- Bibliometric analysis included document citation, source journals, authors, highly cited documents, countries, organizations, and impact factors.
Main Results:
- A total of 2046 articles published over the past two decades were analyzed.
- Publication output on NMJM has shown a significant and rapid increase.
- Thomas H. Gillingwater (University of Miami) was the most prolific author, with 27 publications.
- The USA dominated the geographic distribution of research.
- Research focus has evolved from NMJM establishment to mechanistic disease studies.
Conclusions:
- This bibliometric analysis offers a comprehensive overview of the historical development of NMJM research.
- It highlights current research hotspots and identifies emerging trends.
- The study provides valuable insights for future research directions and collaborations in the field of neuromuscular junction modeling.
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