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Topic · Pharmacology

Biological and pharmacological studies of plants

Biological and pharmacological studies of plants is a research topic within Pharmacology. Science Explorer counts 7k research works in it since 1950. 17.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the traditional uses, pharmacological activities, and therapeutic potential of medicinal orchids, particularly focusing on Dendrobium and Gastrodia species. The research covers a wide range of topics including neuroprotective effects, anti-inflammatory and antioxidant activities, ethnopharmacology, and the identification of bioactive compounds such as phenanthrenes and bibenzyl derivatives. These studies provide valuable insights into the potential applications of medicinal orchids in traditional medicine.

  • Dendrobium
  • Gastrodia
  • Phenanthrenes
  • Traditional Medicine
  • Neuroprotective
  • Ethnopharmacology
  • Bibenzyl Derivatives
  • Anti-inflammatory
  • Antioxidant
  • Therapeutic Potential
Research works
7k
fractional, since 1950
In the world top 10%
1.2k
per year above
Top-10% rate
17.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+22%
the tick is no change

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

Which countries lead Biological and pharmacological studies of plants research?

By volume, China and India publish the most (844 and 174 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 844 works
  2. 2 India 174 works
  3. 3 Indonesia 71 works
  4. 4 United States 41 works
  5. 5 South Korea 33 works
  6. 6 Thailand 26 works
  7. 7 Vietnam 26 works
  8. 8 Taiwan 19 works
  9. 9 Malaysia 19 works
  10. 10 Türkiye 18 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: 66.4%India: 13.7%Indonesia: 5.6%United States: 3.3%6 others listed: 11.1%66%largest
China844 · 66.4%India174 · 13.7%Indonesia71 · 5.6%United States41 · 3.3%6 others listed141 · 11.1%

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

Which institutions lead Biological and pharmacological studies of plants research?

By volume in 2022–2025, Zunyi Medical University publishes the most Biological and pharmacological studies of plants research, followed by Chinese Academy of Medical Sciences & Peking Union Medical College and Botanical Survey of India.

Where is Biological and pharmacological studies of plants research done?

The largest centres of Biological and pharmacological studies of plants research in 2022–2025 are Beijing (China), Kunming (China), Hangzhou (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Zunyi, Guiyang and Kunming.

Largest cities, 2022–2025

  1. 1 Beijing China 115 works
  2. 2 Kunming China 58 works
  3. 3 Hangzhou China 56 works
  4. 4 Guangzhou China 44 works
  5. 5 Guiyang China 39 works
  6. 6 Chengdu China 31 works
  7. 7 Zunyi China 29 works
  8. 8 Shanghai China 29 works
  9. 9 Kolkata India 26 works
  10. 10 Nanjing China 26 works

Where it is the local speciality

  1. ZunyiCN · 29.4 works97×
  2. GuiyangCN · 38.6 works20×
  3. KunmingCN · 57.9 works19×
  4. KolkataIN · 25.9 works8.6×
  5. FuzhouCN · 24.0 works7.6×
← less than its size predictsmore →

Location quotient: how much more of its research is in Biological and pharmacological studies of plants than the world average.

See Biological and pharmacological studies of plants on the map

Where is the best place to study Biological and pharmacological studies of plants?

Among universities, judged by research, Zunyi Medical University, Chinese Academy of Medical Sciences & Peking Union Medical College and Guizhou 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%20%40%mean 34.5625%fractional works in this node (log) →share in the world top 10% →Zunyi Medical University: 27, 38.6%Chinese Academy of Medical Sciences & Peking Union Medical College: 22, 30.0%Guizhou University: 17, 42.5%Anhui University of Traditional Chinese Medicine: 11, 37.2%Zhejiang Chinese Medical University: 16, 41.7%Fujian Agriculture and Forestry University: 12, 20.9%Chengdu University of Traditional Chinese Medicine: 11, 39.5%Beijing University of Chinese Medicine: 9, 26.1%Guizhou UniversityZunyi Medical Univer…Anhui University of …Chinese Academy of M…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Zunyi Medical UniversityChina 79.638.6%120.2×27 -10.0%
2 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 73.130.0%15.5×22 -15.2%
3 Guizhou UniversityChina 71.342.5%21.4×17 -48.8%
4 Anhui University of Traditional Chinese MedicineChina 70.337.2%79.2×11 +58.0%
5 Zhejiang Chinese Medical UniversityChina 68.741.7%43.8×16 -40.7%
6 Fujian Agriculture and Forestry UniversityChina 67.120.9%35.1×12 +67.9%
7 Chengdu University of Traditional Chinese MedicineChina 63.239.5%35.2×11 -19.0%
8 Beijing University of Chinese MedicineChina 53.026.1%35.4×9 +2.6%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Biological and pharmacological studies of plants research growing?

Output in 2018–2022 was 22% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Biological and pharmacological studies of plants.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

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.