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ETO Research Almanac
Between 2018 and 2023, researchers published roughly
5,000
English-language articles on AI + pharmacology
The global AI + pharmacology literature grew
243%
between 2018 and 2023
Articles on AI + pharmacology made up
<1%
of all articles on artificial intelligence
Authors from private companies contributed to
9%
of AI + pharmacology articles
What counts as "AI + pharmacology" research?How precise are these numbers?What are the other caveats?
Explore relevant research in the Map of Science
Data last updated October 13, 2025

Vital signs

  1. 4,795
    AI + pharmacology articles were released between 2018 and 2023 (estd.)
  2. 243%
    growth in research between 2018 and 2023
  3. <1%
    of all artificial intelligence articles focused on AI + pharmacology

Citation impact

  1. 25
    citations for the average AI + pharmacology article
  2. 20
    citations for the average artificial intelligence article

Countries

  1. 22%
    of AI + pharmacology articles have American authors
  2. 28%
    have Chinese authors
  3. 15%
    have European authors
Country
Articles (2018-2023)
Growth (2018-2023)
Global share
Citations per article
China1,326302%28%27.9
United States1,050145%22%40.3
India517573%11%18.8

Top-cited articles

Research organizations

  • #1 Chinese Academy of Sciences (China)
  • #2 Central South University (China)
  • #3 Hunan University (China)
Organization
Articles
(2018-2023
Citations per article
Country
Chinese Academy of Sciences10839China
Central South University7763.1China
Hunan University5992.6China

Patents and industry

  1. 9%
    of AI + pharmacology articles are cited in patents
  2. 7%
    of artificial intelligence articles are cited in patents
  3. 9%
    of AI + pharmacology articles had authors from private companies (vs 6% of artificial intelligence articles in general)

Top industry organizations by publication count

Company
Articles
(2018-2023)
Citations per article
Country
AstraZeneca33128.2United Kingdom
Microsoft1634.9United States
Tencent16167.4China
Research subject classifications are based on work supported in part by the Alfred P. Sloan Foundation under Grant No. G-2023-22358. For details on our sourcing, methodology, and limitations, see the tool documentation.
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