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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:

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

Showing 1-25 of 91 citing articles:

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
Assessing developability early in the discovery process for novel biologics
Monica L. Fernández‐Quintero, Anne Ljungars, Franz Waibl, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 42
Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV
Aubin Ramon, Montader Ali, Misha Atkinson, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 1, pp. 74-91
Open Access | Times Cited: 24
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: 24
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
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: 33
Self-play reinforcement learning guides protein engineering
Yi Wang, Hui Tang, Lichao Huang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 8, pp. 845-860
Closed Access | Times Cited: 31
Blueprint for antibody biologics developability
Carl Mieczkowski, Xuejin Zhang, Dana Lee, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 28
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
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: 22
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
Prospects for the computational humanization of antibodies and nanobodies
G. Gordon, Matthew I. J. Raybould, Chi Yan Wong, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 9
Neural network extrapolation to distant regions of the protein fitness landscape
Chase R. Freschlin, Sarah A. Fahlberg, Pete Heinzelman, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
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
Reduction of monoclonal antibody viscosity using interpretable machine learning
Emily K. Makowski, Hsin-Ting Chen, Tiexin Wang, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 7
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
Navigating the landscape: A comprehensive overview of computational approaches in therapeutic antibody design and analysis
Amar Jeet Yadav, Khushboo Bhagat, Arpana Sharma, et al.
Advances in protein chemistry and structural biology (2025)
Closed Access
An in silico method to assess antibody fragment polyreactivity
Edward P. Harvey, Jung-Eun Shin, Meredith A. Skiba, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 27
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
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: 16
Deep learning in preclinical antibody drug discovery and development
Yuwei Zhou, Ziru Huang, Wenzhen Li, et al.
Methods (2023) Vol. 218, pp. 57-71
Closed Access | Times Cited: 16
Affinity maturation of antibody fragments: A review encompassing the development from random approaches to computational rational optimization
Jiaqi Li, Guangbo Kang, Jiewen Wang, et al.
International Journal of Biological Macromolecules (2023) Vol. 247, pp. 125733-125733
Open Access | Times Cited: 15
Investigating the Volume and Diversity of Data Needed for Generalizable Antibody-Antigen ∆∆G Prediction
Alissa Hummer, Constantin Schneider, Lewis Chinery, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 14
Accelerating antibody discovery and design with artificial intelligence: Recent advances and prospects
Ganggang Bai, Chuance Sun, Ziang Guo, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 13-24
Closed Access | Times Cited: 14
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