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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:

NanoNet: Rapid and accurate end-to-end nanobody modeling by deep learning
Tomer Cohen, Matan Halfon, Dina Schneidman‐Duhovny
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

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: 154
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
Brennan Abanades, Wing Ki Wong, Fergus Boyles, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 143
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
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
Can AlphaFold’s breakthrough in protein structure help decode the fundamental principles of adaptive cellular immunity?
Benjamin McMaster, Christopher J. Thorpe, Graham S. Ogg, et al.
Nature Methods (2024) Vol. 21, Iss. 5, pp. 766-776
Closed 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: 6
Computational and Machine Learning Approaches for Optimizing Anti-CD3ε Nanobody: Humanization and Characterization for Enhanced Therapeutic Efficacy
Ali Rahmati Bonab, Hannaneh Jalilzadeh Ghahi, Mahmoud Hassani, et al.
Research Square (Research Square) (2025)
Closed Access
Unveiling the new chapter in nanobody engineering: advances in traditional construction and AI-driven optimization
Ji‐Wei Liu, Lei Wu, Anqi Xie, et al.
Journal of Nanobiotechnology (2025) Vol. 23, Iss. 1
Open Access
INDI—integrated nanobody database for immunoinformatics
Piotr Deszyński, Jakub Młokosiewicz, Adam Volanakis, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1273-D1281
Open Access | Times Cited: 40
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
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
Structural Modeling of Nanobodies: A Benchmark of State-of-the-Art Artificial Intelligence Programs
Mario S. Valdés‐Tresanco, Mario E. Valdés‐Tresanco, Daiver E. Jiménez-Gutiérrez, et al.
Molecules (2023) Vol. 28, Iss. 10, pp. 3991-3991
Open Access | Times Cited: 15
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
Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery
Igor Jaszczyszyn, Weronika Bielska, Tomasz Gawłowski, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 14
Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen
Mark R. Hutchinson, Jeffrey A. Ruffolo, Nantaporn Haskins, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Benchmarking antibody clustering methods using sequence, structural, and machine learning similarity measures for antibody discovery applications
Dawid Chomicz, Jarosław Kończak, Sonia Wróbel, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 4
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
Brennan Abanades, Wing Ki Wong, Fergus Boyles, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 21
Epitope Identification of an mGlu5 Receptor Nanobody Using Physics-Based Molecular Modeling and Deep Learning Techniques
Floriane Eshak, Léo Pion, Pauline Scholler, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 11, pp. 4436-4461
Closed Access | Times Cited: 3
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
SARS-CoV-2 Specific Nanobodies Neutralize Different Variants of Concern and Reduce Virus Load in the Brain of h-ACE2 Transgenic Mice
María F. Pavan, Marina Bok, Rafael Betanzos San Juan, et al.
Viruses (2024) Vol. 16, Iss. 2, pp. 185-185
Open Access | Times Cited: 3
tFold-Ab: Fast and Accurate Antibody Structure Prediction without Sequence Homologs
Jiaxiang Wu, Fandi Wu, Biaobin Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 17
Nanobody engineering: computational modelling and design for biomedical and therapeutic applications
Nehad S. El Salamouni, Jordan H. Cater, Lisanne M. Spenkelink, et al.
FEBS Open Bio (2024) Vol. 15, Iss. 2, pp. 236-253
Open Access | Times Cited: 2
Accurate prediction of CDR-H3 loop structures of antibodies with deep learning
Hedi Chen, Xiaoyu Fan, Shuqian Zhu, et al.
eLife (2024) Vol. 12
Open Access | Times Cited: 2
Advancements in nanobody generation: Integrating conventional, in silico, and machine learning approaches
D. Jagadeeswara Reddy, Girijasankar Guntuku, Mary Sulakshana Palla
Biotechnology and Bioengineering (2024) Vol. 121, Iss. 11, pp. 3375-3388
Open Access | Times Cited: 2
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