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:

Stabilization of the SARS-CoV-2 receptor binding domain by protein core redesign and deep mutational scanning
Alison C. Leonard, Jonathan J. Weinstein, Paul J. Steiner, et al.
Protein Engineering Design and Selection (2022) Vol. 35
Open Access | Times Cited: 11

Showing 11 citing articles:

Repertoire of Computationally Designed Peroxygenases for Enantiodivergent C–H Oxyfunctionalization Reactions
Patricia Gómez de Santos, Ivan Mateljak, Manh Dat Hoang, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 6, pp. 3443-3453
Open Access | Times Cited: 35

Structural engineering of stabilized, expanded epitope nanoparticle vaccines for HPV
Michaela Helble, Xizhou Zhu, Pratik Bhojnagarwala, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access

Deep mutational scanning of proteins in mammalian cells
Stefanie Maes, Nick Deploey, Frank Peelman, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 11, pp. 100641-100641
Open Access | Times Cited: 9

Addressing epistasis in the design of protein function
Rosalie Lipsh‐Sokolik, Sarel J. Fleishman
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 34
Open Access | Times Cited: 2

Prediction of antibody binding to SARS-CoV-2 RBDs
Eric Wang
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 6

Topological deep learning based deep mutational scanning
Jiahui Chen, Daniel Woldring, Faqing Huang, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107258-107258
Open Access | Times Cited: 6

From De Novo Design to Redesign: Harnessing Computational Protein Design for Understanding SARS-CoV-2 Molecular Mechanisms and Developing Therapeutics
Aditya K. Padhi, Parismita Kalita, Shweata Maurya, et al.
The Journal of Physical Chemistry B (2023) Vol. 127, Iss. 41, pp. 8717-8735
Closed Access | Times Cited: 4

Epistasis meets pleiotropy in shaping biophysical protein subspaces associated with antimicrobial resistance
C. Brandon Ogbunugafor, Rafael F. Guerrero, Eugene I. Shakhnovich, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3

Epistasis and pleiotropy shape biophysical protein subspaces associated with drug resistance
C. Brandon Ogbunugafor, Rafael F. Guerrero, Miles D. Miller-Dickson, et al.
Physical review. E (2023) Vol. 108, Iss. 5
Open Access | Times Cited: 2

Unraveling the Dynamics of SARS-CoV-2 Mutations: Insights from Surface Plasmon Resonance Biosensor Kinetics
Devi Taufiq Nurrohman, Nan‐Fu Chiu
Biosensors (2024) Vol. 14, Iss. 2, pp. 99-99
Open Access

Potent neutralization of SARS-CoV-2 variants by RBD nanoparticle and prefusion-stabilized spike immunogens
Marcos C. Miranda, Elizabeth Kepl, Mary Jane Navarro, et al.
npj Vaccines (2024) Vol. 9, Iss. 1
Open Access

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