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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 26-50 of 216 citing articles:

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
Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features
Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 25
Approaches to expand the conventional toolbox for discovery and selection of antibodies with drug-like physicochemical properties
Hristo L. Svilenov, Paolo Arosio, Tim Menzen, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 23
Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction
Li Tong, Yupeng Li, Xiaoyi Zhu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 50-69
Closed Access | Times Cited: 21
Artificial intelligence-driven drug development against autoimmune diseases
Philippe Moingeon
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 7, pp. 411-424
Open Access | Times Cited: 21
Generative models for protein sequence modeling: recent advances and future directions
Mehrsa Mardikoraem, Zirui Wang, Nathaniel Pascual, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 19
Adaptive immune receptor repertoire analysis
Vanessa Mhanna, Habib Bashour, Khang Lê Quý, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 11
Systematic multi-trait AAV capsid engineering for efficient gene delivery
Fatma-Elzahraa Eid, Albert T. Chen, Ken Y. Chan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Advancing Antibody Engineering through Synthetic Evolution and Machine Learning
Edward B. Irvine, Sai T. Reddy
The Journal of Immunology (2024) Vol. 212, Iss. 2, pp. 235-243
Closed Access | Times Cited: 7
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions
Doo Nam Kim, Andrew McNaughton, Neeraj Kumar
Bioengineering (2024) Vol. 11, Iss. 2, pp. 185-185
Open Access | Times Cited: 7
De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model
Haohuai He, Bing He, Lei Guan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Enhancing Antibody Language Models with Structural Information
Justin Barton, Jacob D. Galson, Jinwoo Leem
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
Habib Bashour, Eva Smorodina, Matteo Pariset, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning
Maria Chernigovskaya, Milena Pavlović, Chakravarthi Kanduri, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 3
Open Access
Rapid restoration of potent neutralization activity against the latest Omicron variant JN.1 via AI rational design and antibody engineering
Yunji Liao, Hang Ma, Zhenyu Wang, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 6
Open Access
Design of Biopharmaceutical Formulations Accelerated by Machine Learning
Harini Narayanan, Fabian Dingfelder, Itzel Condado Morales, et al.
Molecular Pharmaceutics (2021) Vol. 18, Iss. 10, pp. 3843-3853
Open Access | Times Cited: 51
Polyreactivity and polyspecificity in therapeutic antibody development: risk factors for failure in preclinical and clinical development campaigns
Orla Cunningham, M.J. Scott, Zhaohui Sunny Zhou, et al.
mAbs (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 48
Machine-Learning-Guided Library Design Cycle for Directed Evolution of Enzymes: The Effects of Training Data Composition on Sequence Space Exploration
Yutaka Saitô, Misaki Oikawa, Takumi Sato, et al.
ACS Catalysis (2021) Vol. 11, Iss. 23, pp. 14615-14624
Open Access | Times Cited: 46
The evolutionary and functional significance of germline immunoglobulin gene variation
Matt Pennell, Oscar L. Rodriguez, Corey T. Watson, et al.
Trends in Immunology (2022) Vol. 44, Iss. 1, pp. 7-21
Open Access | Times Cited: 34
Antibody variable region engineering for improving cancer immunotherapy
Hantao Lou, Xuetao Cao
Cancer Communications (2022) Vol. 42, Iss. 9, pp. 804-827
Open Access | Times Cited: 32
Predicting antibody binders and generating synthetic antibodies using deep learning
Yoong Wearn Lim, Adam S. Adler, David S. Johnson
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 27
Efficient evolution of human antibodies from general protein language models and sequence information alone
Brian Hie, Duo Xu, Varun R. Shanker, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 26
Electrostatic Features for the Receptor Binding Domain of SARS-COV-2 Wildtype and Its Variants. Compass to the Severity of the Future Variants with the Charge-Rule
Fernando Luís Barroso da Silva, Carolina Corrêa Giron, Aatto Laaksonen
The Journal of Physical Chemistry B (2022) Vol. 126, Iss. 36, pp. 6835-6852
Open Access | Times Cited: 26
Accelerating therapeutic protein design with computational approaches toward the clinical stage
Zhidong Chen, Xinpei Wang, Xu Chen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2909-2926
Open Access | Times Cited: 17
Optimization of therapeutic antibodies for reduced self-association and non-specific binding via interpretable machine learning
Emily K. Makowski, Tiexin Wang, Jennifer M. Zupancic, et al.
Nature Biomedical Engineering (2023) Vol. 8, Iss. 1, pp. 45-56
Closed Access | Times Cited: 17

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