Bibliometric Analysis of Global Research on Transient Receptor Potential Vanilloid 1 in the Field of Pain

Abstract

Background

Transient Receptor Potential Vanilloid 1 (TRPV1) is a heat-activated cation channel modulated by inflammatory mediators, which is closely related to pain and serves as a potential analgesic target. However, the bibliometric analyses summarizing TRPV1 in the field of pain are scarce. This study aims to summarize the current status of TRPV1 in pain and the potential research direction.

Methods

Articles regarding TRPV1 in the pain field between 2013 and 2022 were extracted from the Web of Science core collection database on 31 December 2022. Scientometric software (VOSviewer and CiteSpace 6.1.R6) were used to perform bibliometric analysis. This study provided data on the trend of the annual outputs, countries/regions, institutions, journals, authors, co-cited references and keywords.

Results

A total of 2462 publications related to TRPV1 in the field of pain were extracted from 2013 to 2022, which were written by 12,005 authors of 2304 institutions, 68 countries/regions in 686 journals, with 48,723 citations totally. The number of publications has grown rapidly over the past 10 years. Most publications were from the USA and China; the Seoul Natl Univ was the most active institution; Tominaga M published the most papers and Caterina MJ was the most productive co-cited author; The top-contributing journal was Pain; The most cited references was the article authored by Julius D. “Neuropathic pain”, “inflammatory pain”, “visceral pain” and “migraine” were the most common types of pain in this field. The mechanism of TRPV1 in pain was one of the main research directions.

Conclusion

This study presented an overview of the major research directions of TRPV1 in the pain field by bibliometric methods over the past decade. The results could reveal the research trends and the hotspots in the field and provide helpful information for clinical treatments of pain.

Keywords:

• TRPV1
• pain
• VOSviewer
• CiteSpace
• bibliometric analysis

Data Sharing Statement

The raw data can be directly obtained from the Web of Science core collection database.

Acknowledgments

We are grateful to all study participants for their cooperation. This study was supported by the Zhejiang Provincial Natural Science Foundation [China] (No. LQ22H270014) and the “Seed” Fund of Zhejiang Provincial People’s Hospital (No. ZRY2022J018).

Disclosure

The authors report no conflicts of interest in this work.