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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:

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning
Derek M. Mason, Simon Friedensohn, Cédric R. Weber, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 600-612
Closed Access | Times Cited: 216

Showing 1-25 of 216 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: 201
Designing antibodies as therapeutics
Paul J. Carter, Arvind Rajpal
Cell (2022) Vol. 185, Iss. 15, pp. 2789-2805
Open Access | Times Cited: 124
BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning
David Příhoda, Jad Maamary, Andrew B. Waight, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 102
Deciphering the language of antibodies using self-supervised learning
Jinwoo Leem, L. Mitchell, James H. R. Farmery, et al.
Patterns (2022) Vol. 3, Iss. 7, pp. 100513-100513
Open Access | Times Cited: 95
Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space
Emily K. Makowski, Patrick C. Kinnunen, Jie Huang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 91
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: 83
Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain
Joseph M. Taft, Cédric R. Weber, Beichen Gao, et al.
Cell (2022) Vol. 185, Iss. 21, pp. 4008-4022.e14
Open Access | Times Cited: 78
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Rahmad Akbar, Habib Bashour, Puneet Rawat, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 75
Development of therapeutic antibodies for the treatment of diseases
Zeng Wang, Guoqing Wang, Huaqing Lu, et al.
Molecular Biomedicine (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 71
In silico proof of principle of machine learning-based antibody design at unconstrained scale
Rahmad Akbar, Philippe A. Robert, Cédric R. Weber, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 70
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
Accelerated rational PROTAC design via deep learning and molecular simulations
Shuangjia Zheng, Youhai Tan, Zhenyu Wang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 9, pp. 739-748
Closed Access | Times Cited: 64
Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries
Lin Li, Esther Gupta, John Spaeth, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 37
DLAB: deep learning methods for structure-based virtual screening of antibodies
Constantin Schneider, Andrew Buchanan, Bruck Taddese, et al.
Bioinformatics (2021) Vol. 38, Iss. 2, pp. 377-383
Open Access | Times Cited: 64
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires
Milena Pavlović, Lonneke Scheffer, Keshav Motwani, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 11, pp. 936-944
Open Access | Times Cited: 56
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: 56
Computational Models for Clinical Applications in Personalized Medicine—Guidelines and Recommendations for Data Integration and Model Validation
Catherine Bjerre Collin, Tom Gebhardt, Martin Golebiewski, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 166-166
Open Access | Times Cited: 53
Non-specificity as the sticky problem in therapeutic antibody development
Hannes Ausserwöger, Matthias M. Schneider, Therese W. Herling, et al.
Nature Reviews Chemistry (2022) Vol. 6, Iss. 12, pp. 844-861
Closed Access | Times Cited: 50
Directed Evolution of Aptamer Discovery Technologies
Diana Wu, Chelsea K. L. Gordon, John H. Shin, et al.
Accounts of Chemical Research (2022) Vol. 55, Iss. 5, pp. 685-695
Open Access | Times Cited: 46
Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness
Sharrol Bachas, Goran Rakočević, David A. Spencer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 36
Unlockingde novoantibody design with generative artificial intelligence
Amir Shanehsazzadeh, Matt McPartlon, George W. Kasun, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 32
Animal-derived products in science and current alternatives
Ana Catarina Duarte, Elisabete C. Costa, Hugo A. L. Filipe, et al.
Biomaterials Advances (2023) Vol. 151, pp. 213428-213428
Open Access | Times Cited: 31
Predicting the antigenic evolution of SARS-COV-2 with deep learning
Wenkai Han, Ningning Chen, Xinzhou Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 30
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: 26
Toward real-world automated antibody design with combinatorial Bayesian optimization
Asif Khan, Alexander I. Cowen-Rivers, Antoine Grosnit, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 1, pp. 100374-100374
Open Access | Times Cited: 25
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