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Review
. 2023 Sep 22;9(10):e20142.
doi: 10.1016/j.heliyon.2023.e20142. eCollection 2023 Oct.

Hotspots and future trends of autophagy in Traditional Chinese Medicine: A Bibliometric analysis

Jun Zhao  1 , Guang-Wei Liu  2 , Cheng Tao  3
Affiliations
Review

Hotspots and future trends of autophagy in Traditional Chinese Medicine: A Bibliometric analysis

Jun Zhao et al. Heliyon. .

Abstract

Objective: To discuss the hotspots and future trends of autophagy in traditional Chinese medicine (TCM) and provide a reference for researchers in this field.

Method: Using visual analysis tools, metrological statistics and visual research on the pertinent literature in the area of autophagy use in TCM were undertaken in the core collection database of the Web of Science. By examining the authors, keywords, research circumstances, research hotspots, and trends of linked research, the use of autophagy in TCM was investigated.

Results and conclusions: A total of 916 studies were included, among which Beijing University Chinese Medicine was the largest number of advantageous research institutions, followed by Shanghai University Traditional Chinese Medicine and Guangzhou University Chinese Medicine.The keywords of literature research primarily comprise apoptosis, activation, inhibition, pathway, mechanism, oxidative stress, proliferation, NF-κB, cancer, mtor, etc. At present, the research on autophagy in the field of TCM is increasing on a year-to-year basis. The research has focused on the role played by TCM in malignant tumors, atherosclerosis, Alzheimer's disease through autophagy, and the regulation of autophagy signaling pathways (e.g., PI3K/AKT/mTOR signaling pathway, TLR4 signaling pathway,nrf2 signaling pathway and NF-κB signaling pathway). In the future, the therapeutic effect of TCM on chemotherapy-resistant tumor cells through autophagy pathway, the role of TCM mediating mitophagy and activating autophagy function, and the therapeutic effect of TCM components represented by luteolin on tumors, asthma, myocardial injury and other diseases through autophagy mechanism will be the research hotspots in the future.

Keywords: Autophagy; Bibliometrics analysis; CiteSpace; Traditional Chinese Medicine (TCM); Visualized Analysis.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Annual distribution of published studies on the application of autophagy in TCM research.
Fig. 2
Fig. 2
Core author collaboration atlas of autophagy application in TCM research.
Fig. 3
Fig. 3
Display of autophagy application in the cooperation network of TCM research literature institutions.
Fig. 4
Fig. 4
Keywords co-occurrence network diagram based on CiteSpace.
Fig. 5
Fig. 5
Network visualization of keyword co-occurrence. (A) Keyword cluster map based on different research fields; (B) A chronological overview of keywords based on the average publication year.
Fig. 6
Fig. 6
Research status of autophagy in TCM Keyword analysis.
Fig. 7
Fig. 7
Emergent map of keywords.
Fig. 8
Fig. 8
Keyword timeline.
Fig. 9
Fig. 9
Document Co-citation network.
Fig. 10
Fig. 10
Diagrams of the highest co-cited literature pennants.
Fig. 11
Fig. 11
(A) Co-citation network diagram of journals, (B) Co-citation density of journal.
Fig. 12
Fig. 12
Overlay of double spectra of literatures.
See this image and copyright information in PMC

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