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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:

Mega-scale experimental analysis of protein folding stability in biology and design
Kotaro Tsuboyama, Justas Dauparas, Jonathan H. Chen, et al.
Nature (2023) Vol. 620, Iss. 7973, pp. 434-444
Open Access | Times Cited: 171

Showing 1-25 of 171 citing articles:

Rapid protein stability prediction using deep learning representations
Lasse M. Blaabjerg, Maher M. Kassem, Lydia L. Good, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 101
ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction
Pascal Notin, Aaron W. Kollasch, Daniel P. Ritter, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 88
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 86
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: 83
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: 80
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: 64
Sequence modeling and design from molecular to genome scale with Evo
Eric Nguyen, Michael Poli, Matthew G. Durrant, et al.
Science (2024) Vol. 386, Iss. 6723
Open Access | Times Cited: 55
Sequence modeling and design from molecular to genome scale with Evo
Éric Nguyen, Michael Poli, Matthew G. Durrant, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 52
Discovering functionally important sites in proteins
Matteo Cagiada, Sandro Bottaro, Søren Lindemose, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 49
Transfer learning to leverage larger datasets for improved prediction of protein stability changes
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z. Randolph, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 6
Open Access | Times Cited: 40
Opportunities and challenges in design and optimization of protein function
Dina Listov, Casper A. Goverde, Bruno E. Correia, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 25, Iss. 8, pp. 639-653
Closed Access | Times Cited: 40
Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing
Yan He, Xibin Zhou, C.-H. Chang, et al.
Molecular Cell (2024) Vol. 84, Iss. 7, pp. 1257-1270.e6
Open Access | Times Cited: 27
Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations
Daniel J. Diaz, Chengyue Gong, Jeffrey Ouyang-Zhang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 21
A mutational atlas for Parkin proteostasis
Lene Clausen, Vasileios Voutsinos, Matteo Cagiada, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 20
Molecular basis of proton sensing by G protein-coupled receptors
Matthew K. Howard, Nick Hoppe, Xi‐Ping Huang, et al.
Cell (2025)
Open Access | Times Cited: 6
Site-saturation mutagenesis of 500 human protein domains
Antoni Beltran, Xuege Jiang, Yue Shen, et al.
Nature (2025)
Open Access | Times Cited: 4
MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays
Alan F. Rubin, Jeremy Stone, Aisha Haley Bianchi, et al.
Genome biology (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 2
The genetic architecture of protein stability
André J. Faure, Aina Martí-Aranda, Cristina Hidalgo-Carcedo, et al.
Nature (2024)
Open Access | Times Cited: 14
Fluorescence-Based Protein Stability Monitoring—A Review
Negin Gooran, Kari Kopra
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1764-1764
Open Access | Times Cited: 13
The Role of Force Fields and Water Models in Protein Folding and Unfolding Dynamics
Anna-Lena M. Fischer, Anna Tichy, Janik Kokot, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 5, pp. 2321-2333
Open Access | Times Cited: 13
Zero-shot prediction of mutation effects with multimodal deep representation learning guides protein engineering
Peng Cheng, Cong Mao, Jin Tang, et al.
Cell Research (2024) Vol. 34, Iss. 9, pp. 630-647
Open Access | Times Cited: 11
Molecular basis of proton-sensing by G protein-coupled receptors
Matthew K. Howard, Nick Hoppe, Xi‐Ping Huang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9
A combinatorially complete epistatic fitness landscape in an enzyme active site
Kadina E. Johnston, Patrick J. Almhjell, Ella J. Watkins‐Dulaney, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 32
Open Access | Times Cited: 9
An end-to-end framework for the prediction of protein structure and fitness from single sequence
Yinghui Chen, Yunxin Xu, Ди Лю, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Improving the prediction of protein stability changes upon mutations by geometric learning and a pre-training strategy
Yunxin Xu, Ди Лю, Haipeng Gong
Nature Computational Science (2024) Vol. 4, Iss. 11, pp. 840-850
Closed Access | Times Cited: 9
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