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Review
. 2020 Jan 20:15:7.
doi: 10.1186/s13020-020-0288-z. eCollection 2020.

The status of and trends in the pharmacology of berberine: a bibliometric review [1985-2018]

Affiliations
Review

The status of and trends in the pharmacology of berberine: a bibliometric review [1985-2018]

Yu Gao et al. Chin Med. .

Abstract

Berberine has significant antibacterial and antipyretic effects and is a commonly used drug for treating infectious diarrhoea. The current research data show that the pharmacological effects of berberine are numerous and complex, and researchers have been enthusiastic about this field. To allow researchers to quickly understand the field and to provide references for the direction of research, using bibliometrics, we analysed 1426 articles, dating from 1985 to 2018, in the field of berberine pharmacology. The research articles we found came from 69 countries/regions, 1381 institutions, 5675 authors, and 325 journals; they contained 3794 key words; they were written in 7 languages; and they were of 2 article types. This study summarizes and discusses the evolution of the historical themes of berberine pharmacology as well as the status quo and the future development directions from a holistic perspective.

Keywords: Berberine; Bibliometrics; CiteSpace; Evolutionary trend; Pharmacology; Web of Science.

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Conflict of interest statement

Competing interestsThe authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
The structure of berberine
Fig. 2
Fig. 2
Research flow chart of the study
Fig. 3
Fig. 3
Yearly output and score
Fig. 4
Fig. 4
Distribution of global publications in the field of berberine pharmacology
Fig. 5
Fig. 5
The percentage of articles in the top ten countries
Fig. 6
Fig. 6
Map of cooperative networks among countries, researchers and institutions. a Academic cooperation networks between countries/regions. b Academic cooperation networks between authors. c Academic cooperation networks between institutions
Fig. 7
Fig. 7
Timeline view for document co-citation clusters
Fig. 8
Fig. 8
Word cloud of the top 50 words
Fig. 9
Fig. 9
The words from the burst detection

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