Traditional Chinese Medicine Studies
Traditional Chinese Medicine Studies is a research topic within Complementary and alternative medicine. Science Explorer counts 43k research works in it since 1950. 9.6% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the integration of traditional medicine, such as Traditional Chinese Medicine and Ayurveda, with modern scientific approaches. It covers topics such as syndrome differentiation, herbal formulae, tongue diagnosis, constitutional typology, genomic analysis, and precision medicine. The focus is on understanding the principles and applications of traditional medicine in the context of contemporary healthcare.
- Traditional Chinese Medicine
- Ayurveda
- Syndrome Differentiation
- Herbal Formulae
- Integrative Medicine
- Tongue Diagnosis
- Constitutional Typology
- Genomic Analysis
- Precision Medicine
- Health Maintenance
- Research works
- 43k fractional, since 1950
- In the world top 10%
- 4.1k per year above
- Top-10% rate
- 9.6% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +50% the tick is no change
- Largest producer
China
58% of the 10 largest, 2022-now
This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.
Which countries lead Traditional Chinese Medicine Studies research?
By volume, China and India publish the most (3.2k and 1.1k works in 2022-now).
By volume, 2022-now
- 1
China 3.2k works
- 2
India 1.1k works
- 3
United States 443 works
- 4
South Korea 293 works
- 5
Japan 122 works
- 6
Indonesia 105 works
- 7
Taiwan 77 works
- 8
United Kingdom 71 works
- 9
Türkiye 59 works
- 10
Iran 43 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Traditional Chinese Medicine Studies research?
By volume in 2022-now, Beijing University of Chinese Medicine publishes the most Traditional Chinese Medicine Studies research, followed by Chinese Academy of Medical Sciences & Peking Union Medical College and Align Technology (United States).
By volume, 2022-now
- 1
Beijing University of Chinese Medicine
China 143 works
- 2
Chinese Academy of Medical Sciences & Peking Union Medical College
China 114 works
- 3
Align Technology (United States)
United States 113 works
- 4
Shaanxi University of Chinese Medicine
China 108 works
- 5
Shanghai University of Traditional Chinese Medicine
China 91 works
- 6
Guangzhou University of Chinese Medicine
China 70 works
- 7
National Institute of Ayurveda
India 62 works
- 8
Chengdu University of Traditional Chinese Medicine
China 62 works
- 9
Tianjin University of Traditional Chinese Medicine
China 62 works
- 10
Nanjing University of Chinese Medicine
China 57 works
Who are the leading researchers in Traditional Chinese Medicine Studies?
The most-cited researchers publishing on Traditional Chinese Medicine Studies include David Moher, Douglas G. Altman and Zhong Lin Wang.
- 1
David Moher
Canada 898k citations
- 2
Douglas G. Altman
United Kingdom 862k citations
- 3
Zhong Lin Wang
United States 491k citations
- 4
Rob Knight
United States 468k citations
- 5
Jun Wang
China 340k citations
- 6
Gordon Henry Guyatt
Canada 315k citations
- 7
Luigi Ferrucci
United States 281k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Traditional Chinese Medicine Studies research done?
The largest centres of Traditional Chinese Medicine Studies research in 2022-now are Beijing (China), Shanghai (China), Guangzhou (China) and Xianyang (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xianyang, Amloh and Malappuram.
Largest cities, 2022-now
Where it is the local speciality
- XianyangCN · 143.5 works107×
- AmlohIN · 50.0 works94×
- MalappuramIN · 49.2 works57×
- San JoseUS · 113.9 works56×
- NandedIN · 53.5 works52×
Location quotient: how much more of its research is in Traditional Chinese Medicine Studies than the world average.
Where is the best place to study Traditional Chinese Medicine Studies?
Among universities, judged by research, Shanghai University of Traditional Chinese Medicine, Chinese University of Hong Kong and Tianjin University of Traditional Chinese Medicine score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Traditional Chinese Medicine Studies, country by countryIs Traditional Chinese Medicine Studies research growing?
Output in 2022-2025 was 50% higher than in 2018-2021, peaking in 2011. The fastest-growing topics are Traditional Chinese Medicine Studies.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Traditional Chinese Medicine Studies as a percentage of every work published that year, 0.026% in 2024.
Fractional works of Traditional Chinese Medicine Studies over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.
Discussion
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