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Topic · Complementary and alternative medicine

Traditional Chinese Medicine Analysis

Traditional Chinese Medicine Analysis is a research topic within Complementary and alternative medicine. Science Explorer counts 28k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the use of Traditional Chinese Medicine (TCM) in modern science, focusing on herbal medicine, phytochemistry, quality control, and the pharmacological effects of specific TCM components. It also delves into the application of TCM in treating cardiovascular diseases, with a particular emphasis on Astragalus membranaceus and Salvia miltiorrhiza. The research covers the chemical analysis of TCM components such as tanshinones and their potential therapeutic benefits.

  • Traditional Chinese Medicine
  • Herbal Medicine
  • Phytochemistry
  • Quality Control
  • Pharmacological Effects
  • Cardiovascular Disease
  • Chemical Analysis
  • Astragalus membranaceus
  • Salvia miltiorrhiza
  • Tanshinones
Research works
28k
fractional, since 1950
In the world top 10%
2.7k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+28%
the tick is no change
Largest producer
China
87% of the 10 largest, 2022-now
Traditional Chinese Medicine Analysis

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Traditional Chinese Medicine Analysis research?

By volume, China and South Korea publish the most (3.8k and 127 works in 2022-now).

By volume, 2022-now

  1. 1 China 3.8k works
  2. 2 South Korea 127 works
  3. 3 India 127 works
  4. 4 United States 94 works
  5. 5 Taiwan 47 works
  6. 6 Türkiye 43 works
  7. 7 Japan 42 works
  8. 8 Iran 41 works
  9. 9 Thailand 29 works
  10. 10 Vietnam 28 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.

China: 86.8%South Korea: 2.9%India: 2.9%United States: 2.1%6 others listed: 5.3%87%largest
China3,790 · 86.8%South Korea127 · 2.9%India127 · 2.9%United States94 · 2.1%6 others listed230 · 5.3%

Shares of the rows listed above, not of the whole node.

Which institutions lead Traditional Chinese Medicine Analysis research?

By volume in 2022-now, Beijing University of Chinese Medicine publishes the most Traditional Chinese Medicine Analysis research, followed by Chinese Academy of Medical Sciences & Peking Union Medical College and Shanghai University of Traditional Chinese Medicine.

By volume, 2022-now

  1. 1 Beijing University of Chinese MedicineChina 125 works
  2. 2 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 121 works
  3. 3 Shanghai University of Traditional Chinese MedicineChina 94 works
  4. 4 Tianjin University of Traditional Chinese MedicineChina 89 works
  5. 5 Nanjing University of Chinese MedicineChina 81 works
  6. 6 Chengdu University of Traditional Chinese MedicineChina 79 works
  7. 7 Guangzhou University of Chinese MedicineChina 76 works
  8. 8 Zhejiang Chinese Medical UniversityChina 75 works
  9. 9 Chinese Academy of SciencesChina 74 works
  10. 10 Heilongjiang University of Chinese MedicineChina 55 works

Who are the leading researchers in Traditional Chinese Medicine Analysis?

The most-cited researchers publishing on Traditional Chinese Medicine Analysis include Jun Wang, Heng Li and Xiaogang Wang.

  1. 1 Jun Wang China 340k citations
  2. 2 Heng Li United States 270k citations
  3. 3 Xiaogang Wang China 260k citations
  4. 4 Amirhossein Sahebkar Iran 258k citations
  5. 5 Narayanaswamy Venketasubramanian Singapore 252k citations
  6. 6 Peter John Barnes United Kingdom 225k citations
  7. 7 Kai You Wang China 224k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Traditional Chinese Medicine Analysis?

The most cited paper in Traditional Chinese Medicine Analysis is "TCMSP: a database of systems pharmacology for drug discovery from herbal medicines" (Jinlong Ru, Peng Li, Jinan Wang et al., 2014), with 5,188 citations. Next come "FiehnLib: Mass Spectral and Retention Index Libraries for Metabolomics Based on Quadrupole and Time-of-Flight Gas Chromatography/Mass Spectrometry" (1,544) and "Danshen: An Overview of Its Chemistry, Pharmacology, Pharmacokinetics, and Clinical Use" (1,283).

Most cited papers
#PaperReleasedCitations
1 TCMSP: a database of systems pharmacology for drug discovery from herbal medicines Jinlong Ru, Peng Li, Jinan Wang et al. · Journal of Cheminformatics Open access 15 Apr 2014 5,188
2 FiehnLib: Mass Spectral and Retention Index Libraries for Metabolomics Based on Quadrupole and Time-of-Flight Gas Chromatography/Mass Spectrometry Tobias Kind, Gert Wohlgemuth, Do Yup Lee et al. · Analytical Chemistry Open access 23 Nov 2009 1,544
3 Danshen: An Overview of Its Chemistry, Pharmacology, Pharmacokinetics, and Clinical Use Limin Zhou, Zhong Zuo, Moses S. S. Chow · The Journal of Clinical Pharmacology 15 Nov 2005 1,283
4 Global metabolic profiling procedures for urine using UPLC–MS Elizabeth J. Want, Ian D. Wilson, Helen Gika et al. · Nature Protocols 6 May 2010 1,170
5 Ferulic acid: pharmaceutical functions, preparation and applications in foods Shiyi Ou, Kin‐Chor Kwok · Journal of the Science of Food and Agriculture 28 Jul 2004 871
All 98 most cited papers, with filters and sorting

Where is Traditional Chinese Medicine Analysis research done?

The largest centres of Traditional Chinese Medicine Analysis research in 2022-now are Beijing (China), Shanghai (China), Guangzhou (China) and Hangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xianyang, Kaifeng and Shijiazhuang.

Largest cities, 2022-now

  1. 1 BeijingChina 547 works
  2. 2 ShanghaiChina 206 works
  3. 3 GuangzhouChina 203 works
  4. 4 HangzhouChina 178 works
  5. 5 NanjingChina 177 works
  6. 6 ChengduChina 147 works
  7. 7 TianjinChina 136 works
  8. 8 JinanChina 114 works
  9. 9 ChangshaChina 99 works
  10. 10 ShenyangChina 92 works

Where it is the local speciality

  1. XianyangCN · 59.5 works59×
  2. KaifengCN · 44.5 works21×
  3. ShijiazhuangCN · 57.8 works12×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Traditional Chinese Medicine Analysis than the world average.

See Traditional Chinese Medicine Analysis on the map

Where is the best place to study Traditional Chinese Medicine Analysis?

Among universities, judged by research, Chengdu University of Traditional Chinese Medicine, University of Macau and Zhejiang Chinese Medical University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%10%20%mean 13.63%fractional works in this field (log) →share of work in the world top 10% →Chengdu University o…University of MacauZhejiang Chinese Med…Macau University of …
above the meannear itbelow it

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.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Chengdu University of Traditional Chinese MedicineChina 70.919.3%77.9×79 +57.2%
2University of MacauChina 66.816.9%9.1×12 -7.4%
3Zhejiang Chinese Medical UniversityChina 65.116.0%75.6×75 +91.1%
4Macau University of Science and TechnologyChina 64.913.7%13.6×12 +77.3%
5Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 64.611.5%28.7×121 +5.0%
6Tianjin University of Traditional Chinese MedicineChina 62.711.0%150.3×90 +29.1%
7Shanghai University of Traditional Chinese MedicineChina 62.511.3%85.7×94 +39.5%
8Nanjing University of Chinese MedicineChina 62.312.8%80.5×81 +21.0%
9Heilongjiang University of Chinese MedicineChina 61.211.8%157.0×55 +151.0%
10Guangzhou University of Chinese MedicineChina 58.412.0%79.8×76 +38.4%

Universities only. The score blends 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 Analysis, country by country

Is Traditional Chinese Medicine Analysis research growing?

Output in 2022-2025 was 28% higher than in 2018-2021, peaking in 2011. The fastest-growing topics are Traditional Chinese Medicine Analysis.

still counting19801990200020102020
grewheldshrank

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 Analysis as a percentage of every work published that year, 0.017% in 2024.

still counting0.020%0.040%0.060%Traditional Chinese Medicine Analysis0.020% in 202519801990200020102020

Fractional works of Traditional Chinese Medicine Analysis 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.

still counting5%10%15%Traditional Chinese Medicine Analysis9.8% in 2025200020102020

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.

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