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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:

Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies
Sarah A. Robinson, Matthew I. J. Raybould, Constantin Schneider, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 12, pp. e1009675-e1009675
Open Access | Times Cited: 42

Showing 1-25 of 42 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: 167
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: 163
ABlooper: fast accurate antibody CDR loop structure prediction with accuracy estimation
Brennan Abanades, Guy Georges, Alexander Bujotzek, et al.
Bioinformatics (2022) Vol. 38, Iss. 7, pp. 1877-1880
Open Access | Times Cited: 110
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: 99
Functional antibodies exhibit light chain coherence
David B. Jaffe, Payam Shahi, Bruce A. Adams, et al.
Nature (2022) Vol. 611, Iss. 7935, pp. 352-357
Open Access | Times Cited: 70
SAbDab in the age of biotherapeutics: updates including SAbDab-nano, the nanobody structure tracker
Constantin Schneider, Matthew I. J. Raybould, Charlotte M. Deane
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D1368-D1372
Open Access | Times Cited: 100
Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics
Rahul Khetan, Robin Curtis, Charlotte M. Deane, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 68
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: 59
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: 38
Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling
Matthew I. J. Raybould, Oliver M. Turnbull, Annabel Suter, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 15
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction
Philippe A. Robert, Rahmad Akbar, Robert Frank, et al.
Nature Computational Science (2022) Vol. 2, Iss. 12, pp. 845-865
Open Access | Times Cited: 35
The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures
Brennan Abanades, Tobias Hegelund Olsen, Matthew I. J. Raybould, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D545-D551
Open Access | Times Cited: 22
NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model
Shangru Li, Xiangpeng Meng, Rui Li, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 7
Comparative Binding Ability of Human Monoclonal Antibodies against Omicron Variants of SARS-CoV-2: An In Silico Investigation
Nabarun Chandra Das, Pritha Chakraborty, Jagadeesh Bayry, et al.
Antibodies (2023) Vol. 12, Iss. 1, pp. 17-17
Open 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
Insights into next generation sequencing guided antibody selection strategies
M. Frank Erasmus, Fortunato Ferrara, Sara D’Angelo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Improved computational epitope profiling using structural models identifies a broader diversity of antibodies that bind to the same epitope
Fabian C. Spoendlin, Brennan Abanades, Matthew I. J. Raybould, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 13
Rapid discovery of monoclonal antibodies by microfluidics-enabled FACS of single pathogen-specific antibody-secreting cells
Katrin Fischer, Aleksei Lulla, Tsz Y. So, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 5
Current strategies for detecting functional convergence across B-cell receptor repertoires
Matthew I. J. Raybould, Anthony R. Rees, Charlotte M. Deane
mAbs (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 31
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
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
T-cell receptor structures and predictive models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity
Nele P. Quast, Brennan Abanades, Bora Guloglu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Contrastive Learning Enables Epitope Overlap Predictions for Targeted Antibody Discovery
Clinton Holt, Alexis K. Janke, Parastoo Amlashi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
T-cell receptor structures and predictive models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity
Nele P. Quast, Brennan Abanades, Bora Guloglu, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Primary exposure to SARS-CoV-2 variants elicits convergent epitope specificities, immunoglobulin V gene usage and public B cell clones
Noemia S. Lima, Maryam Musayev, Timothy S. Johnston, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 18
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