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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:

Deep Generative Design of Epitope-Specific Binding Proteins by Latent Conformation Optimization
Raphael R. Eguchi, Christian A. Choe, Udit Parekh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 14

Showing 14 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: 88
De novo protein design—From new structures to programmable functions
Tanja Kortemme
Cell (2024) Vol. 187, Iss. 3, pp. 526-544
Open Access | Times Cited: 85
Atomically accurate de novo design of single-domain antibodies
Nathaniel R. Bennett, Joseph L. Watson, Robert J. Ragotte, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 67
Sparks of function by de novo protein design
Alexander E. Chu, Tianyu Lu, Po‐Ssu Huang
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 203-215
Closed Access | Times Cited: 31
An all-atom protein generative model
Alexander E. Chu, Jinho Kim, Lucy Cheng, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 27
Open Access | Times Cited: 18
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: 18
An all-atom protein generative model
Alexander E. Chu, Lucy Cheng, Gina El Nesr, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 17
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
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
How generative AI is building better antibodies
Ewen Callaway
Nature (2023)
Closed Access | Times Cited: 8
An outlook on structural biology after AlphaFold: tools, limits and perspectives
Serena Rosignoli, M Pacelli, Francesca Manganiello, et al.
FEBS Open Bio (2024) Vol. 15, Iss. 2, pp. 202-222
Open Access | Times Cited: 2
Cytometry Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper
Jae‐Sik Kim, Matei Ionita, Matthew Lee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Learning antibody sequence constraints from allelic inclusion
Milind Jagota, Chloe Hsu, Thomas Mazumder, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Cytometry masked autoencoder: An accurate and interpretable automated immunophenotyper
Jae‐Sik Kim, Matei Ionita, Matthew Lee, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 11, pp. 101808-101808
Open Access
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