AI + genetics – ETO Research Almanac

ETO Research Almanac

Between 2018 and 2023, researchers published roughly

6,000

English-language articles on AI + genetics

The global AI + genetics literature grew

80%

between 2018 and 2023

Articles on AI + genetics made up

<1%

of all articles on artificial intelligence

Authors from private companies contributed to

of AI + genetics articles

What counts as "AI + genetics" 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

5,508
AI + genetics articles were released between 2018 and 2023 (estd.)
80%
growth in research between 2018 and 2023
<1%
of all artificial intelligence articles focused on AI + genetics

Citation impact

17
citations for the average AI + genetics article
20
citations for the average artificial intelligence article

Countries

24%
of AI + genetics articles have American authors
27%
have Chinese authors
14%
have European authors

Country	Articles (2018-2023)	Growth (2018-2023)	Global share	Citations per article
China	1,493	150%	27%	17.9
United States	1,317	81%	24%	30.8
India	554	58%	10%	9.1

Top-cited articles

Improved protein structure prediction using potentials from deep learning
2020: Nature. 3,108 citations
Predicting Splicing from Primary Sequence with Deep Learning
2019: Cell. 2,058 citations
SignalP 6.0 predicts all five types of signal peptides using protein language models
2022: Nature biotechnology. 1,914 citations
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
2020: bioRxiv (Cold Spring Harbor Laboratory). 894 citations
Large language models generate functional protein sequences across diverse families
2023: Nature biotechnology. 825 citations
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
2021: Nature methods. 709 citations
Disease variant prediction with deep generative models of evolutionary data
2021: Nature. 626 citations
Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk
2018: Nature genetics. 523 citations
High-resolutionde novostructure prediction from primary sequence
2022: bioRxiv (Cold Spring Harbor Laboratory). 502 citations
Identifying viruses from metagenomic data using deep learning
2020: Quantitative biology (Beijing, China). 495 citations

Research organizations

Top producers of AI + genetics research (by article count)

#1 Chinese Academy of Sciences (China)
#2 Harvard University (United States)
#3 Shanghai Jiao Tong University (China)

Organization	Articles (2018-2023)	Citations per article	Country
Chinese Academy of Sciences	98	23.3	China
Harvard University	63	93	United States
Shanghai Jiao Tong University	58	15.3	China

Patents and industry

7%
of AI + genetics articles are cited in patents
7%
of artificial intelligence articles are cited in patents
4%
of AI + genetics 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
Google	15	315.1	United States
Microsoft	13	34.3	United States
Alibaba Group	7	45.9	China

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.