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Topic · Pharmacology

Alkaloids: synthesis and pharmacology

Alkaloids: synthesis and pharmacology is a research topic within Pharmacology. Science Explorer counts 12k research works in it since 1950. 19.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the pharmacology, synthesis, and effects of kratom alkaloids, particularly those derived from Mitragyna speciosa. It covers topics such as opioid withdrawal, neuropharmacological effects, total synthesis of alkaloids, traditional medicine usage, and toxicological studies.

  • Kratom
  • Alkaloids
  • Mitragyna Speciosa
  • Opioid Withdrawal
  • Indole Alkaloids
  • Total Synthesis
  • Pharmacological Effects
  • Traditional Medicine
  • Neuropharmacology
  • Toxicology
Research works
12k
fractional, since 1950
In the world top 10%
2.4k
per year above
Top-10% rate
19.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+13%
the tick is no change

Which countries lead Alkaloids: synthesis and pharmacology research?

By volume, China and the United States publish the most (572 and 236 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 572 works
  2. 2 United States 236 works
  3. 3 India 140 works
  4. 4 Japan 97 works
  5. 5 Indonesia 96 works
  6. 6 Germany 45 works
  7. 7 Brazil 43 works
  8. 8 France 37 works
  9. 9 Thailand 35 works
  10. 10 Malaysia 33 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: 42.9%United States: 17.7%India: 10.5%Japan: 7.3%6 others listed: 21.6%43%largest
China572 · 42.9%United States236 · 17.7%India140 · 10.5%Japan97 · 7.3%6 others listed289 · 21.6%

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

Which institutions lead Alkaloids: synthesis and pharmacology research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Alkaloids: synthesis and pharmacology research, followed by Chinese Academy of Medical Sciences & Peking Union Medical College and University of Florida.

By volume, 2022–2025

  1. 1 Chinese Academy of Sciences China 18 works
  2. 2 Chinese Academy of Medical Sciences & Peking Union Medical College China 15 works
  3. 3 University of Florida United States 15 works
  4. 4 Andalas University Indonesia 13 works
  5. 5 Universiti Sains Malaysia Malaysia 11 works
  6. 6 Sichuan University China 9 works
  7. 7 Hunan Agricultural University China 8 works
  8. 8 Tanjungpura University Indonesia 8 works
  9. 9 China Pharmaceutical University China 8 works
  10. 10 Chiba University Japan 8 works

Who are the leading researchers in Alkaloids: synthesis and pharmacology?

The most-cited researchers publishing on Alkaloids: synthesis and pharmacology include Barry M. Trost, E. J. Corey and K. N. Houk.

  1. 1 Barry M. Trost 3.8k citations
  2. 2 E. J. Corey 3.6k citations
  3. 3 K. N. Houk 2.8k citations

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

Where is Alkaloids: synthesis and pharmacology research done?

The largest centres of Alkaloids: synthesis and pharmacology research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Kunming (China). Among places with at least 20 works in it, it is an unusually large share of all research in Kunming.

Largest cities, 2022–2025

  1. 1 Beijing China 82 works
  2. 2 Shanghai China 39 works
  3. 3 Guangzhou China 30 works
  4. 4 Kunming China 30 works
  5. 5 Tokyo Japan 28 works
  6. 6 Chengdu China 24 works
  7. 7 Nanjing China 21 works
  8. 8 Changsha China 19 works
  9. 9 Tianjin China 16 works
  10. 10 Padang Indonesia 16 works

Where it is the local speciality

  1. KunmingCN · 29.9 works8.2×
← less than its size predictsmore →

Location quotient: how much more of its research is in Alkaloids: synthesis and pharmacology than the world average.

See Alkaloids: synthesis and pharmacology on the map

Where is the best place to study Alkaloids: synthesis and pharmacology?

Among universities, judged by research, University of Florida, Chinese Academy of Medical Sciences & Peking Union Medical College and Universiti Sains Malaysia 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 16.4429%fractional works in this node (log) →share in the world top 10% →University of Florida: 15, 38.5%Chinese Academy of Medical Sciences & Peking Union Medical College: 15, 16.1%Universiti Sains Malaysia: 11, 15.2%Hunan Agricultural University: 8, 21.4%Andalas University: 13, 4.9%Tanjungpura University: 8, 0.0%Sichuan University: 9, 19.0%University of FloridaHunan Agricultural U…Chinese Academy of M…Universiti Sains Mal…
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
1University of Florida United States 83.038.5%8.1×15 +545.3%
2Chinese Academy of Medical Sciences & Peking Union Medical College China 57.316.1%8.8×15 +60.4%
3Universiti Sains Malaysia Malaysia 54.815.2%10.8×11 +9.8%
4Hunan Agricultural University China 50.721.4%30.1×8
5Andalas University Indonesia 42.34.9%14.0×13 +11.5%
6Tanjungpura University Indonesia 28.30.0%9.2×8
7Sichuan University China 21.719.0%3.0×9 +10.4%

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 Alkaloids: synthesis and pharmacology research growing?

Output in 2018–2022 was 13% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Alkaloids: synthesis and pharmacology.

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.