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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:

Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain
Joseph M. Taft, Cédric R. Weber, Beichen Gao, et al.
Cell (2022) Vol. 185, Iss. 21, pp. 4008-4022.e14
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Deep mutational scans for ACE2 binding, RBD expression, and antibody escape in the SARS-CoV-2 Omicron BA.1 and BA.2 receptor-binding domains
Tyler N. Starr, Allison J. Greaney, Cameron Stewart, et al.
PLoS Pathogens (2022) Vol. 18, Iss. 11, pp. e1010951-e1010951
Open Access | Times Cited: 159
An AsCas12f-based compact genome-editing tool derived by deep mutational scanning and structural analysis
T Hino, Satoshi N. Omura, Ryoya Nakagawa, et al.
Cell (2023) Vol. 186, Iss. 22, pp. 4920-4935.e23
Open Access | Times Cited: 43
Deep-learning-enabled protein–protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution
Guangyu Wang, Xiaohong Liu, Kai Wang, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 2007-2018
Closed Access | Times Cited: 39
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: 33
Deep mutational scans of XBB.1.5 and BQ.1.1 reveal ongoing epistatic drift during SARS-CoV-2 evolution
Ashley L. Taylor, Tyler N. Starr
PLoS Pathogens (2023) Vol. 19, Iss. 12, pp. e1011901-e1011901
Open Access | Times Cited: 27
Exploring and Learning the Universe of Protein Allostery Using Artificial Intelligence Augmented Biophysical and Computational Approaches
Steve Agajanian, Mohammed Alshahrani, Fang Bai, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 5, pp. 1413-1428
Closed Access | Times Cited: 19
Adaptive immune receptor repertoire analysis
Vanessa Mhanna, Habib Bashour, Khang Lê Quý, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 11
Leveraging artificial intelligence in vaccine development: A narrative review
David B. Olawade, Jennifer Teke, Oluwaseun Fapohunda, et al.
Journal of Microbiological Methods (2024) Vol. 224, pp. 106998-106998
Open Access | Times Cited: 10
Advancing Antibody Engineering through Synthetic Evolution and Machine Learning
Edward B. Irvine, Sai T. Reddy
The Journal of Immunology (2024) Vol. 212, Iss. 2, pp. 235-243
Closed Access | Times Cited: 7
Deep mutational scanning of SARS-CoV-2 Omicron BA.2.86 and epistatic emergence of the KP.3 variant
Ashley L. Taylor, Tyler N. Starr
Virus Evolution (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
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: 6
The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access
Unveiling the ghost: machine learning’s impact on the landscape of virology
Sebastian Bowyer, David J. Allen, Nicholas Furnham
Journal of General Virology (2025) Vol. 106, Iss. 1
Closed Access
Predicting antibody binders and generating synthetic antibodies using deep learning
Yoong Wearn Lim, Adam S. Adler, David S. Johnson
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 27
A biophysical model of viral escape from polyclonal antibodies
Timothy C. Yu, Zorian Thornton, William W. Hannon, et al.
Virus Evolution (2022) Vol. 8, Iss. 2
Open Access | Times Cited: 27
Learning protein fitness landscapes with deep mutational scanning data from multiple sources
Lin Chen, Zehong Zhang, Zhenghao Li, et al.
Cell Systems (2023) Vol. 14, Iss. 8, pp. 706-721.e5
Open Access | Times Cited: 19
Accelerating therapeutic protein design with computational approaches toward the clinical stage
Zhidong Chen, Xinpei Wang, Xu Chen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2909-2926
Open Access | Times Cited: 16
Leveraging deep learning to improve vaccine design
Andrew P. Hederman, Margaret E. Ackerman
Trends in Immunology (2023) Vol. 44, Iss. 5, pp. 333-344
Open Access | Times Cited: 13
Insights into next generation sequencing guided antibody selection strategies
M. Frank Erasmus, Fortunato Ferrara, Sara D’Angelo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering
Mason Minot, Sai T. Reddy
Cell Systems (2024)
Open Access | Times Cited: 3
Fast-Track Discovery of SARS-CoV-2-Neutralizing Antibodies from Human B Cells by Direct Functional Screening
Matthias Hillenbrand, Christoph Esslinger, Jemima Seidenberg, et al.
Viruses (2024) Vol. 16, Iss. 3, pp. 339-339
Open Access | Times Cited: 3
Synthetic coevolution reveals adaptive mutational trajectories of neutralizing antibodies and SARS-CoV-2
Roy A. Ehling, Mason Minot, Max D. Overath, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Deep mutational scanning of SARS-CoV-2 Omicron BA.2.86 and epistatic emergence of the KP.3 variant
Ashley Taylor, Tyler N. Starr
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Computational design of vaccine immunogens
Karla M. Castro, Andreas Scheck, Shuhao Xiao, et al.
Current Opinion in Biotechnology (2022) Vol. 78, pp. 102821-102821
Open Access | Times Cited: 19
SARS-CoV-2 receptor-binding domain deep mutational AlphaFold2 structures
Oz Kilim, Anikó Mentes, Balázs Pál, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10
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