Bibliometric analysis of research trends and topic areas in traditional Chinese medicine therapy for lymphoma

Abstract

Context

Traditional Chinese Medicine (TCM) is effective as a cancer treatment modality. However, this is the first bibliometric analysis of TCM in lymphoma treatment.

Objective

This study explores the current trends and research topics of TCM in treating lymphoma from 2000 to 2023.

Materials and methods

We searched within the Web of Science Core Collection (WoSCC) for publications on TCM in lymphoma treatment, spanning 2000 to 2023. Subsequently, we employed a comprehensive approach utilizing CiteSpace software and VOSviewer to visually analyze research trends, authors, institutions, co-cited references, and keywords.

Results

From January 1, 2000, to August 31, 2023, annual scientific publications on TCM for lymphoma treatment have steadily increased. Among the leading institutions in this field, the Beijing University of Chinese Medicine and the Fujian Medical University occupied the top positions. Regarding the authors, Jun Peng, Jiumao Lin, and Hongwei Chen emerged as the top three contributors. In the co-citation analysis of references, the top three co-cited references were authored by Hanahan D, Elmore S, and Livak KJ with citations numbered 13, 14, and 17, respectively. In particular, keywords reflecting current emerging trends included ‘pathway’, ‘traditional Chinese medicine’, ‘oxidative stress’, and ‘macrophage polarization’.

Discussion and conclusions

This bibliometric analysis provides a comprehensive overview of TCM for lymphoma treatment. This analysis identified the predominant trends and research topics in the field. The findings are expected to be of significant value for researchers who focus on TCM in lymphoma treatment, helping them better understand the development of this field.

Keywords:

• Co-occurrence analysis
• co-citation analysis
• keywords analysis
• trends
• CiteSpace

Acknowledgments

The authors thank everyone who contributed to the writing and all the publications and their authors involved in this study.

Author contributions

Ww Zhang designed the study and revised the manuscript. X Chen helped Ww Zhang designed the study and revised the manuscript. Ym Qin and Sb Liu performed the analysis and normalized the pictures. Gf Zhang analyzed the data, interpreted the results, and edited the manuscript. All authors read and approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.