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:

Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins
Moritz Ertelt, Vikram Khipple Mulligan, Jack B. Maguire, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 3, pp. e1011939-e1011939
Open Access | Times Cited: 11

Showing 11 citing articles:

Combining Rosetta Sequence Design with Protein Language Model Predictions Using Evolutionary Scale Modeling (ESM) as Restraint
Moritz Ertelt, Jens Meiler, Clara T. Schoeder
ACS Synthetic Biology (2024) Vol. 13, Iss. 4, pp. 1085-1092
Open Access | Times Cited: 5

Tying the Knot: In Silico Design of Foldable Lasso Peptides
John D. Nguyen, Gabriel C. A. da Hora, Marcus C. Mifflin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Enzymes and Natural Products
Bryan Hanley
(2025), pp. 177-198
Closed Access

Engineering nitrogen and carbon fixation for next-generation plants
Zhengang Zhao, Alisdair R. Fernie, Youjun Zhang
Current Opinion in Plant Biology (2025) Vol. 85, pp. 102699-102699
Closed Access

Rational Design for Enhancing Cellobiose Dehydrogenase Activity and Its Synergistic Role in Straw Degradation
Zhengfen Wu, Pengfei Li, Yong Chen, et al.
Journal of Agricultural and Food Chemistry (2024)
Closed Access | Times Cited: 2

Current computational tools for protein lysine acylation site prediction
Zhaohui Qin, Haoran Ren, Pei Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 1

Artificial Intelligence Transforming Post-Translational Modification Research
Doo Nam Kim, Tianzhixi Yin, Tong Zhang, et al.
Bioengineering (2024) Vol. 12, Iss. 1, pp. 26-26
Open Access | Times Cited: 1

Self-supervised machine learning methods for protein design improve sampling, but not the identification of high-fitness variants
Moritz Ertelt, Rocco Moretti, Jens Meiler, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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