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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:

Large language models generate functional protein sequences across diverse families
Ali Madani, Ben Krause, Eric R. Greene, et al.
Nature Biotechnology (2023) Vol. 41, Iss. 8, pp. 1099-1106
Open Access | Times Cited: 514

Showing 1-25 of 514 citing articles:

Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 1930-1940
Closed Access | Times Cited: 1195
Scaffolding protein functional sites using deep learning
Jue Wang, Sidney Lyayuga Lisanza, David Juergens, et al.
Science (2022) Vol. 377, Iss. 6604, pp. 387-394
Open Access | Times Cited: 295
Welcome to the Era of ChatGPT et al.
Timm Teubner, Christoph M. Flath, Christof Weinhardt, et al.
Business & Information Systems Engineering (2023) Vol. 65, Iss. 2, pp. 95-101
Open Access | Times Cited: 176
From nature to industry: Harnessing enzymes for biocatalysis
Rebecca Buller, Stefan Lutz, Romas J. Kazlauskas, et al.
Science (2023) Vol. 382, Iss. 6673
Open Access | Times Cited: 168
Algorithm for optimized mRNA design improves stability and immunogenicity
He Zhang, Liang Zhang, Ang Lin, et al.
Nature (2023) Vol. 621, Iss. 7978, pp. 396-403
Open Access | Times Cited: 167
ProGen2: Exploring the boundaries of protein language models
Erik Nijkamp, Jeffrey A. Ruffolo, Eli N. Weinstein, et al.
Cell Systems (2023) Vol. 14, Iss. 11, pp. 968-978.e3
Open Access | Times Cited: 162
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
Jeffrey A. Ruffolo, Lee‐Shin Chu, Sai Pooja Mahajan, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 154
The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research
Tariq Alqahtani, Hisham A. Badreldin, Mohammed Alrashed, et al.
Research in Social and Administrative Pharmacy (2023) Vol. 19, Iss. 8, pp. 1236-1242
Open Access | Times Cited: 153
The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly Activities in Information Systems
Anjana Susarla, Ram D. Gopal, Jason Bennett Thatcher, et al.
Information Systems Research (2023) Vol. 34, Iss. 2, pp. 399-408
Open Access | Times Cited: 90
Mechanisms and pathology of protein misfolding and aggregation
Nikolaos Louros, Joost Schymkowitz, Frédéric Rousseau
Nature Reviews Molecular Cell Biology (2023) Vol. 24, Iss. 12, pp. 912-933
Closed Access | Times Cited: 83
Improving Protein Expression, Stability, and Function with ProteinMPNN
Kiera H. Sumida, Reyes Núñez‐Franco, Indrek Kalvet, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 3, pp. 2054-2061
Open Access | Times Cited: 78
Soil microbiome engineering for sustainability in a changing environment
Janet Jansson, Ryan McClure, Robert G. Egbert
Nature Biotechnology (2023) Vol. 41, Iss. 12, pp. 1716-1728
Open Access | Times Cited: 76
Simulating 500 million years of evolution with a language model
Thomas Hayes, Roshan Rao, Halil Akin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 69
Regression Transformer enables concurrent sequence regression and generation for molecular language modelling
Jannis Born, Matteo Manica
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 432-444
Open Access | Times Cited: 68
Machine learning for functional protein design
Pascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 216-228
Closed Access | Times Cited: 66
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 65
De novo protein design—From new structures to programmable functions
Tanja Kortemme
Cell (2024) Vol. 187, Iss. 3, pp. 526-544
Open Access | Times Cited: 63
ChatGPT, GPT-4, and Other Large Language Models: The Next Revolution for Clinical Microbiology?
Adrian Egli
Clinical Infectious Diseases (2023) Vol. 77, Iss. 9, pp. 1322-1328
Open Access | Times Cited: 62
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
Bo Chen, Xingyi Cheng, Li Pan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 52
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 51
Protein generation with evolutionary diffusion: sequence is all you need
Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 49
IgLM: Infilling language modeling for antibody sequence design
Richard W. Shuai, Jeffrey A. Ruffolo, Jeffrey J. Gray
Cell Systems (2023) Vol. 14, Iss. 11, pp. 979-989.e4
Open Access | Times Cited: 49
Sequence modeling and design from molecular to genome scale with Evo
Éric Nguyen, Michael Poli, Matthew G. Durrant, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 47
ChatGPT in ophthalmology: the dawn of a new era?
Darren Shu Jeng Ting, Ting Fang Tan, Daniel Shu Wei Ting
Eye (2023) Vol. 38, Iss. 1, pp. 4-7
Open Access | Times Cited: 43
BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio‐Inspired Materials
Rachel K. Luu, Markus J. Buehler
Advanced Science (2023) Vol. 11, Iss. 10
Open Access | Times Cited: 42
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