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

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

2023

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:62

Enthalten in:

Pharmaceutical biology - 62(2023), 1 vom: 13. Dez., Seite 13-21

Sprache:

Englisch

Beteiligte Personen:

Zhang, Gaofeng [VerfasserIn]
Qin, Yanmei [VerfasserIn]
Liu, Shaobing [VerfasserIn]
Chen, Xi [VerfasserIn]
Zhang, Wenwen [VerfasserIn]

Links:

Volltext

Themen:

CiteSpace
Co-citation analysis
Co-occurrence analysis
Journal Article
Keywords analysis
Trends

Anmerkungen:

Date Revised 13.12.2023

published: Print-Electronic

Citation Status In-Process

doi:

10.1080/13880209.2023.2288697

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365790869