Science Explorer Interactive view Map
Topic · Pharmacology

Pharmacogenetics and Drug Metabolism

Pharmacogenetics and Drug Metabolism is a research topic within Pharmacology. Science Explorer counts 44k research works in it since 1950. 27.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the study of drug metabolism, particularly the role of Cytochrome P450 enzymes, genetic variations impacting enzyme activities, pharmacogenetics, personalized medicine, and the influence of polymorphisms on drug response and pharmacokinetics. It also explores the impact of these factors on warfarin dose estimation and xenobiotic metabolism.

  • Cytochrome P450
  • Pharmacogenetics
  • Drug Metabolism
  • Genetic Variation
  • Enzyme Activities
  • Pharmacokinetics
  • Polymorphisms
  • Personalized Medicine
  • Warfarin Dose
  • Xenobiotic Metabolism
Research works
44k
fractional, since 1950
In the world top 10%
12k
per year above
Top-10% rate
27.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-5%
the tick is no change

Which countries lead Pharmacogenetics and Drug Metabolism research?

By volume, the United States and China publish the most (998 and 719 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 998 works
  2. 2 China 719 works
  3. 3 India 264 works
  4. 4 Japan 195 works
  5. 5 United Kingdom 171 works
  6. 6 Germany 168 works
  7. 7 Canada 103 works
  8. 8 South Korea 96 works
  9. 9 Russia 90 works
  10. 10 France 90 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.

United States: 34.5%China: 24.9%India: 9.1%Japan: 6.7%6 others listed: 24.8%34%largest
United States998 · 34.5%China719 · 24.9%India264 · 9.1%Japan195 · 6.7%6 others listed717 · 24.8%

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

Which institutions lead Pharmacogenetics and Drug Metabolism research?

By volume in 2022–2025, Pfizer (United States) publishes the most Pharmacogenetics and Drug Metabolism research, followed by University of Michigan and University of North Carolina at Chapel Hill.

By volume, 2022–2025

  1. 1 Pfizer (United States)United States 25 works
  2. 2 University of MichiganUnited States 16 works
  3. 3 University of North Carolina at Chapel HillUnited States 16 works
  4. 4 University of WashingtonUnited States 14 works
  5. 5 University of FloridaUnited States 14 works
  6. 6 China Pharmaceutical UniversityChina 13 works
  7. 7 Shenyang Pharmaceutical UniversityChina 12 works
  8. 8 University of PittsburghUnited States 12 works
  9. 9 University of AlbertaCanada 12 works
  10. 10 Vanderbilt UniversityUnited States 12 works

Where is Pharmacogenetics and Drug Metabolism research done?

The largest centres of Pharmacogenetics and Drug Metabolism research in 2022–2025 are Beijing (China), Shanghai (China), Tokyo (Japan) and New York (United States). Among places with at least 20 works in it, it is an unusually large share of all research in Basel.

Largest cities, 2022–2025

  1. 1 Beijing China 102 works
  2. 2 Shanghai China 66 works
  3. 3 Tokyo Japan 64 works
  4. 4 New York United States 50 works
  5. 5 Moscow Russia 44 works
  6. 6 London United Kingdom 44 works
  7. 7 Guangzhou China 43 works
  8. 8 Seoul South Korea 42 works
  9. 9 Hangzhou China 39 works
  10. 10 Paris France 36 works

Where it is the local speciality

  1. BaselCH · 28.7 works11×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Pharmacogenetics and Drug Metabolism than the world average.

See Pharmacogenetics and Drug Metabolism on the map

Where is the best place to study Pharmacogenetics and Drug Metabolism?

Among universities, judged by research, Washington State University Spokane, Vanderbilt University and Karolinska Institutet 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 28.06%fractional works in this node (log) →share in the world top 10% →Washington State University Spokane: 10, 32.8%Vanderbilt University: 12, 41.0%Karolinska Institutet: 9, 34.7%University of Florida: 14, 33.9%China Pharmaceutical University: 13, 13.9%Wenzhou Medical University: 11, 13.4%The University of Adelaide: 8, 30.4%University of Liverpool: 8, 38.1%Showa Pharmaceutical University: 11, 16.0%University of Washington: 14, 26.4%Vanderbilt UniversityKarolinska InstitutetUniversity of FloridaWashington State Uni…
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 Washington State University SpokaneUnited States 68.632.8%83.2×10 +322.1%
2 Vanderbilt UniversityUnited States 57.941.0%7.5×12 -32.0%
3 Karolinska InstitutetSweden 49.434.7%5.3×9 -28.2%
4 University of FloridaUnited States 48.233.9%3.3×14 +36.9%
5 China Pharmaceutical UniversityChina 47.713.9%15.4×13 +9.2%
6 Wenzhou Medical UniversityChina 47.613.4%8.1×11 +144.0%
7 The University of AdelaideAustralia 47.330.4%4.9×8 +89.1%
8 University of LiverpoolUnited Kingdom 46.438.1%4.3×8 -3.6%
9 Showa Pharmaceutical UniversityJapan 46.216.0%272.6×11 -0.2%
10 University of WashingtonUnited States 44.726.4%3.6×14 +31.3%

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 Pharmacogenetics and Drug Metabolism research growing?

Output in 2018–2022 was 5% lower than in 2013–2017, peaking in 2013. The fastest-growing topics are Pharmacogenetics and Drug Metabolism.

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.