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:

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: 66

Showing 1-25 of 66 citing articles:

A new age in protein design empowered by deep learning
Hamed Khakzad, Ilia Igashov, Arne Schneuing, et al.
Cell Systems (2023) Vol. 14, Iss. 11, pp. 925-939
Open Access | Times Cited: 40

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: 57

Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens
Federica Guarra, Giorgio Colombo
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 16, pp. 5315-5333
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

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

Do antibody CDR loops change conformation upon binding?
C.T. Liu, Lilian Denzler, Oliver E.C. Hood, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 7

A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
Xiangru Tang, Howard Dai, Elizabeth Knight, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
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

RosettaHDX: Predicting antibody-antigen interaction from hydrogen-deuterium exchange mass spectrometry data
Minh H. Tran, Cristina E. Martina, Rocco Moretti, et al.
Journal of Structural Biology (2025) Vol. 217, Iss. 1, pp. 108166-108166
Closed Access

PAbFold: Linear Antibody Epitope Prediction using AlphaFold2
Jacob DeRoo, James S. Terry, Ning Zhao, et al.
(2025)
Open Access

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

Prediction of protein assemblies by structure sampling followed by interface‐focused scoring
Kliment Olechnovič, Lukas Valančauskas, Justas Dapkūnas, et al.
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 12, pp. 1724-1733
Open 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

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: 16

A new era of antibody discovery: an in-depth review of AI-driven approaches
Jin Cheng, Tianjian Liang, Xiang‐Qun Xie, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 6, pp. 103984-103984
Closed Access | Times Cited: 5

De novo design of high-affinity single-domain antibodies
Rob van der Kant, Zhongyao Zhang, Iva Marković, et al.
(2024)
Closed Access | Times Cited: 5

Integrating Dynamic Network Analysis with AI for Enhanced Epitope Prediction in PD-L1:Affibody Interactions
Diego E. B. Gomes, Byeongseon Yang, Rosario Vanella, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 34, pp. 23842-23853
Open Access | Times Cited: 5

Cryo-electron microscopy-based drug design
Ecenur Cebi, Joohyun Lee, Vinod Kumar Subramani, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 4

Broadly neutralizing antibodies for HIV prevention: a comprehensive review and future perspectives
Sharana Mahomed
Clinical Microbiology Reviews (2024) Vol. 37, Iss. 2
Closed Access | Times Cited: 4

Antibody design using deep learning: from sequence and structure design to affinity maturation
Sara Joubbi, Alessio Micheli, Paolo Milazzo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4

Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions
Michael Mullin, James McClory, Winston Haynes, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3

Understanding and controlling the molecular mechanisms of protein aggregation in mAb therapeutics
Kuin Tian Pang, Yuansheng Yang, Wei Zhang, et al.
Biotechnology Advances (2023) Vol. 67, pp. 108192-108192
Open Access | Times Cited: 10

Structural trends in antibody-antigen binding interfaces: a computational analysis of 1833 experimentally determined 3D structures
Andreas V. Madsen, Oscar Mejias-Gomez, Lasse Ebdrup Pedersen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 23, pp. 199-211
Open Access | Times Cited: 10

Integrating Dynamic Network Analysis with AI for Enhanced Epitope Prediction in PD-L1:Affibody Interactions
Diego E. B. Gomes, Byeongseon Yang, Rosario Vanella, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

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