Open Access Helper

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:

Transfer learning to leverage larger datasets for improved prediction of protein stability changes
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z. Randolph, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13

Showing 13 citing articles:

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: 63
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction
Devlina Chakravarty, Myeongsang Lee, Lauren L. Porter
Current Opinion in Structural Biology (2025) Vol. 90, pp. 102973-102973
Open Access
DDGemb: predicting protein stability change upon single- and multi-point variations with embeddings and deep learning
Castrense Savojardo, Matteo Manfredi, Pier Luigi Martelli, et al.
Bioinformatics (2025)
Open Access
Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning
Gabriella O. Estevam, Edmond M. Linossi, J. N. K. Rao, et al.
(2025)
Open Access
Assessing computational tools for predicting protein stability changes upon missense mutations using a new dataset
Feifan Zheng, Yang Liu, Yan Yang, et al.
Protein Science (2023) Vol. 33, Iss. 1
Closed Access | Times Cited: 10
Deep-Learning Structure Elucidation from Single-Mutant Deep Mutational Scanning
Zachary C. Drake, Elijah Day, Paul D. Toth, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
ProBASS: a language model with sequence and structural features for predicting the effect of mutations on binding affinity
Sagara N.S. Gurusinghe, Yibing Wu, William F. DeGrado, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning
Gabriella O. Estevam, Edmond M. Linossi, J. N. K. Rao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Cross-species vs species-specific models for protein melting temperature prediction
Secundino López, Jesper Salomon, Wouter Boomsma
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning
Gabriella O. Estevam, Edmond M. Linossi, J. N. K. Rao, et al.
(2024)
Open Access
Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning
Gabriella O. Estevam, Edmond M. Linossi, J. N. K. Rao, et al.
(2024)
Open Access
Protein Structure Modeling and Refinement
Harvinder Singh, Parampal Singh, Gajendra Chaudhary, et al.
Elsevier eBooks (2024)
Closed Access
A joint embedding of protein sequence and structure enables robust variant effect predictions
Lasse M. Blaabjerg, Nicolas Jonsson, Wouter Boomsma, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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