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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:

Generative power of a protein language model trained on multiple sequence alignments
Damiano Sgarbossa, Umberto Lupo, Anne‐Florence Bitbol
eLife (2023) Vol. 12
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 54
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
Computational scoring and experimental evaluation of enzymes generated by neural networks
Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 19
Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks
Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 22
Pairing interacting protein sequences using masked language modeling
Umberto Lupo, Damiano Sgarbossa, Anne‐Florence Bitbol
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 27
Open Access | Times Cited: 7
Harnessing AI for Enhanced Screening of Antimicrobial Bioactive Compounds in Food Safety and Preservation
Mengyue Zhou, Juliana Pinto de Lima, Hefei Zhao, et al.
Trends in Food Science & Technology (2025), pp. 104887-104887
Closed Access
Direct coupling analysis and the attention mechanism
F. Caredda, Andrea Pagnani
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Are protein language models the new universal key?
Konstantin Weißenow, Burkhard Rost
Current Opinion in Structural Biology (2025) Vol. 91, pp. 102997-102997
Open Access
Protein language models trained on multiple sequence alignments learn phylogenetic relationships
Umberto Lupo, Damiano Sgarbossa, Anne‐Florence Bitbol
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 29
Latent generative landscapes as maps of functional diversity in protein sequence space
Cheyenne Ziegler, Jonathan Martin, Claude Sinner, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Context-aware geometric deep learning for protein sequence design
Lucien F. Krapp, Fernando A. Meireles, Luciano A. Abriata, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
G–PLIP: Knowledge graph neural network for structure-free protein–ligand bioactivity prediction
Simon Crouzet, Anja Maria Lieberherr, Kenneth Atz, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2872-2882
Open Access | Times Cited: 3
AI-Predicted Protein Deformation Encodes Energy Landscape Perturbation
J. Michael McBride, Tsvi Tlusty
Physical Review Letters (2024) Vol. 133, Iss. 9
Closed Access | Times Cited: 3
Machine learning in biological physics: From biomolecular prediction to design
Jonathan Martin, M. Mateos, José N. Onuchic, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 27
Open Access | Times Cited: 3
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
Pascal Notin, Ruben Weitzman, Debora S. Marks, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8
ProtMamba: a homology-aware but alignment-free protein state space model
Damiano Sgarbossa, Cyril Malbranke, Anne‐Florence Bitbol
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
AI-predicted protein deformation encodes energy landscape perturbation
J. Michael McBride, Tsvi Tlusty
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
Pseudo-perplexity in One Fell Swoop for Protein Fitness Estimation
Pranav Kantroo, Günter P. Wagner, Benjamin B. Machta
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Designing host-associated microbiomes using the consumer/resource model
Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, et al.
mSystems (2024)
Closed Access | Times Cited: 1
Funneling modulatory peptide design with generative models: Discovery and characterization of disruptors of calcineurin protein-protein interactions
Jérôme Tubiana, Lucia Adriana-Lifshits, Michael Nissan, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 2, pp. e1010874-e1010874
Open Access | Times Cited: 4
Pairing interacting protein sequences using masked language modeling
Umberto Lupo, Damiano Sgarbossa, Anne‐Florence Bitbol
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Context-aware geometric deep learning for protein sequence design
Lucien F. Krapp, Fernando A. Meireles, Luciano A. Abriata, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Generative Artificial Intelligence-Assisted Protein Design Must Consider Repurposing Potential
Sean Ekins, Maximilian Brackmann, Cédric Invernizzi, et al.
GEN Biotechnology (2023) Vol. 2, Iss. 4, pp. 296-300
Closed Access | Times Cited: 3
OpenProteinSet: Training data for structural biology at scale.
Gustaf Ahdritz, Nazim Bouatta, Sachin Kadyan, et al.
PubMed (2023)
Closed Access | Times Cited: 2
G-PLIP: Knowledge graph neural network for structure-free protein-ligand bioactivity prediction
Simon Crouzet, Anja Maria Lieberherr, Kenneth Atz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
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