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[The influence of Beijing TCM society on the development of TCM in Beijing].

Authors: Ze-Hong, Dong;

[The influence of Beijing TCM society on the development of TCM in Beijing].

Abstract

Being a medical institution with the longest history and most influential TCM academic group, Beijing TCM Learned Society had a 3-stage history in Beijing area. in the Republican period of China in the 1920s, it was set up and organized by the imperial physicians and compiled History of Imperial Physicians in the Qing Dynasty and Yi Tong Zheng Mai (Orthodox Medical Heritage). In the 1930s, the number of its members and achievements reach its zenith. It started to publish China Medical Monthly, compiled many TCM books and extended its influence nationwide. In the 1940s, it was renamed China Medicine Research Association, then joined the International Science Organization. After that it held many academic activities and exchanged many valuable articles. These three phases promoted the development of TCM in Beijing in varying degrees.

Keywords

China, Beijing, Physicians, Humans, History, 20th Century, Medicine, Chinese Traditional

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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