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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:

AbLang: an antibody language model for completing antibody sequences
Tobias Hegelund Olsen, Iain H. Moal, Charlotte M. Deane
Bioinformatics Advances (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Efficient evolution of human antibodies from general protein language models
Brian Hie, Varun R. Shanker, Duo Xu, et al.
Nature Biotechnology (2023) Vol. 42, Iss. 2, pp. 275-283
Open Access | Times Cited: 229
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: 195
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: 171
Computational and artificial intelligence-based methods for antibody development
Ji‐Sun Kim, Matthew McFee, Qiao Fang, et al.
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 3, pp. 175-189
Open Access | Times Cited: 90
Advances in computational structure-based antibody design
Alissa Hummer, Brennan Abanades, Charlotte M. Deane
Current Opinion in Structural Biology (2022) Vol. 74, pp. 102379-102379
Open Access | Times Cited: 71
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 65
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: 61
Evaluation of AlphaFold antibody–antigen modeling with implications for improving predictive accuracy
Rui Yin, Brian G. Pierce
Protein Science (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 52
Unsupervised evolution of protein and antibody complexes with a structure-informed language model
Varun R. Shanker, Theodora U. J. Bruun, Brian Hie, et al.
Science (2024) Vol. 385, Iss. 6704, pp. 46-53
Closed Access | Times Cited: 32
Fine-tuning protein language models boosts predictions across diverse tasks
Robert Schmirler, Michael Heinzinger, Burkhard Rost
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 25
Improving antibody language models with native pairing
Sarah Burbach, Bryan Briney
Patterns (2024) Vol. 5, Iss. 5, pp. 100967-100967
Open Access | Times Cited: 22
Addressing the antibody germline bias and its effect on language models for improved antibody design
Tobias Hegelund Olsen, Iain H. Moal, Charlotte M. Deane
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 18
Disease diagnostics using machine learning of B cell and T cell receptor sequences
Maxim Zaslavsky, Erin Craig, Jackson Michuda, et al.
Science (2025) Vol. 387, Iss. 6736
Closed Access | Times Cited: 3
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery
Wiktoria Wilman, Sonia Wróbel, Weronika Bielska, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 60
Linguistically inspired roadmap for building biologically reliable protein language models
Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 5, pp. 485-496
Closed Access | Times Cited: 35
The RESP AI model accelerates the identification of tight-binding antibodies
Jonathan Parkinson, Ryan Hard, Wei Wang
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 31
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
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
Large scale paired antibody language models
Henry Kenlay, Frédéric A. Dreyer, Aleksandr Kovaltsuk, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 12, pp. e1012646-e1012646
Open Access | Times Cited: 10
nanoBERT: a deep learning model for gene agnostic navigation of the nanobody mutational space
Johannes Thorling Hadsund, Tadeusz Satława, Bartosz Janusz, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 9
An explainable language model for antibody specificity prediction using curated influenza hemagglutinin antibodies
Yiquan Wang, Huibin Lv, Qi Wen Teo, et al.
Immunity (2024) Vol. 57, Iss. 10, pp. 2453-2465.e7
Open Access | Times Cited: 9
The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures
Brennan Abanades, Tobias Hegelund Olsen, Matthew I. J. Raybould, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D545-D551
Open Access | Times Cited: 22
A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties
Andrew B. Waight, David Příhoda, Rojan Shrestha, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 20
AI models for protein design are driving antibody engineering
Michael Chungyoun, Jeffrey J. Gray
Current Opinion in Biomedical Engineering (2023) Vol. 28, pp. 100473-100473
Open Access | Times Cited: 18
Innovations and trends in antibody repertoire analysis
Douglas R. Townsend, Dalton M. Towers, Jason J. Lavinder, et al.
Current Opinion in Biotechnology (2024) Vol. 86, pp. 103082-103082
Closed Access | Times Cited: 7
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