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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

DNA language models are powerful predictors of genome-wide variant effects
Gonzalo Benegas, Sanjit Singh Batra, Yun S. Song
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 44
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Nucleotide Transformer: building and evaluating robust foundation models for human genomics
Hugo Dalla-Torre, Liam Gonzalez, Javier Mendoza‐Revilla, et al.
Nature Methods (2024)
Open Access | Times Cited: 41
Advances in AI for Protein Structure Prediction: Implications for Cancer Drug Discovery and Development
Xinru Qiu, H. Li, Greg Ver Steeg, et al.
Biomolecules (2024) Vol. 14, Iss. 3, pp. 339-339
Open Access | Times Cited: 27
Multimodal Large Language Models in Healthcare: Applications, Challenges, and Future Outlook (Preprint)
Rawan AlSaad, Alaa Abd‐Alrazaq, Sabri Boughorbel, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e59505-e59505
Open Access | Times Cited: 27
Self-supervised learning on millions of primary RNA sequences from 72 vertebrates improves sequence-based RNA splicing prediction
Ken Chen, Yue Zhou, Maolin Ding, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 17
A DNA language model based on multispecies alignment predicts the effects of genome-wide variants
Gonzalo Benegas, Carlos Albors, Alan J. Aw, et al.
Nature Biotechnology (2025)
Closed Access | Times Cited: 6
Genomic language models: opportunities and challenges
Gonzalo Benegas, Chengzhong Ye, Carlos Albors, et al.
Trends in Genetics (2025)
Open Access | Times Cited: 5
Scientific Large Language Models: A Survey on Biological & Chemical Domains
Qiang Zhang, Keyan Ding, Tingting Lv, et al.
ACM Computing Surveys (2025)
Closed Access | Times Cited: 4
Large language models in plant biology
Hilbert Yuen In Lam, Xing Er Ong, Marek Mutwil
Trends in Plant Science (2024) Vol. 29, Iss. 10, pp. 1145-1155
Open Access | Times Cited: 16
Large language models for science and medicine
Amalio Telenti, Michael Auli, Brian Hie, et al.
European Journal of Clinical Investigation (2024) Vol. 54, Iss. 6
Closed Access | Times Cited: 15
Species-aware DNA language models capture regulatory elements and their evolution
Alexander Karollus, Johannes Hingerl, Dennis Gankin, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 14
Evaluating the representational power of pre-trained DNA language models for regulatory genomics
Ziqi Tang, Nikunj V. Somia, Yiyang Yu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 13
Large language models in bioinformatics: applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 12
A foundational large language model for edible plant genomes
Javier Mendoza‐Revilla, Evan Trop, Liam Gonzalez, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 12
A long-context language model for deciphering and generating bacteriophage genomes
Bin Shao, Jiawei Yan
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Genome modeling and design across all domains of life with Evo 2
Garyk Brixi, Matthew G. Durrant, Ja‐Lok Ku, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Transformers and genome language models
Micaela E. Consens, C Dufault, Michael Wainberg, et al.
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 1
Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models
Tianwei Yue, Yuanxin Wang, Longxiang Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 21, pp. 15858-15858
Open Access | Times Cited: 22
Cross-species plant genomes modeling at single nucleotide resolution using a pre-trained DNA language model
Jingjing Zhai, Aaron Gokaslan, Yair Schiff, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors
Yu-Jen Lin, Arul S. Menon, Zhiqiang Hu, et al.
Human Genomics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 6
SuPreMo: a computational tool for streamlining in silico perturbation using sequence-based predictive models
Ketrin Gjoni, Katherine S. Pollard
Bioinformatics (2024) Vol. 40, Iss. 6
Open Access | Times Cited: 5
Confronting The Data Deluge: How Artificial Intelligence Can Be Used in the Study of Plant Stress
Eugene Koh, Rohan Shawn Sunil, Hilbert Yuen In Lam, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3454-3466
Open Access | Times Cited: 5
Designing realistic regulatory DNA with autoregressive language models
Avantika Lal, David Garfield, Tommaso Biancalani, et al.
Genome Research (2024) Vol. 34, Iss. 9, pp. 1411-1420
Closed Access | Times Cited: 5
This population does not exist: learning the distribution of evolutionary histories with generative adversarial networks
William W. Booker, Dylan D. Ray, Daniel R. Schrider
Genetics (2023) Vol. 224, Iss. 2
Open Access | Times Cited: 13
GPN-MSA: an alignment-based DNA language model for genome-wide variant effect prediction
Gonzalo Benegas, Carlos Albors, Alan J. Aw, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13
Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations
Joshua G. Schraiber, Michael D. Edge, Matt Pennell
PLoS Biology (2024) Vol. 22, Iss. 10, pp. e3002847-e3002847
Open Access | Times Cited: 4
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