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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:

Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness
Sharrol Bachas, Goran Rakočević, David A. Spencer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

The Dawn of a New Era: Targeting the “Undruggables” with Antibody-Based Therapeutics
Linghui Qian, Xuefen Lin, Xue Gao, et al.
Chemical Reviews (2023) Vol. 123, Iss. 12, pp. 7782-7853
Closed Access | Times Cited: 68
IgLM: Infilling language modeling for antibody sequence design
Richard W. Shuai, Jeffrey A. Ruffolo, Jeffrey J. Gray
Cell Systems (2023) Vol. 14, Iss. 11, pp. 979-989.e4
Open Access | Times Cited: 61
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
Bo Chen, Xingyi Cheng, Li Pan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 59
Assessing developability early in the discovery process for novel biologics
Monica L. Fernández‐Quintero, Anne Ljungars, Franz Waibl, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 51
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
Yuchi Qiu, Guo‐Wei Wei
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 43
Therapeutic Antibodies in Medicine
Prerna Sharma, Rahul V. Joshi, Robert C. Pritchard, et al.
Molecules (2023) Vol. 28, Iss. 18, pp. 6438-6438
Open Access | Times Cited: 29
Toward real-world automated antibody design with combinatorial Bayesian optimization
Asif Khan, Alexander I. Cowen-Rivers, Antoine Grosnit, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 1, pp. 100374-100374
Open Access | Times Cited: 27
De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model
Haohuai He, Bing He, Lei Guan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
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: 12
Prospects for the computational humanization of antibodies and nanobodies
G. Gordon, Matthew I. J. Raybould, Chi Yan Wong, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 11
Generative language modeling for antibody design
Richard W. Shuai, Jeffrey A. Ruffolo, Jeffrey J. Gray
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 44
AI models for protein design are driving antibody engineering
Michael Chungyoun, Jeffrey J. Gray
Current Opinion in Biomedical Engineering (2023) Vol. 28, pp. 100473-100473
Open Access | Times Cited: 18
Perspective on the challenges and opportunities of accelerating drug discovery with artificial intelligence
John P. Santa Maria, Yuan Wang, Luiz Miguel Camargo
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 14
Learning the Language of Antibody Hypervariability
Rohit Singh, Chiho Im, Yu Qiu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 14
Applying artificial intelligence to accelerate and de-risk antibody discovery
Astrid Musnier, Christophe Dumet, Saheli Mitra, et al.
Frontiers in Drug Discovery (2024) Vol. 4
Open Access | Times Cited: 6
Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning
Thomas A. Clark, Vidya Subramanian, Akila Jayaraman, et al.
Communications Chemistry (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 12
Deep learning-based codon optimization with large-scale synonymous variant datasets enables generalized tunable protein expression
David A. Constant, Jahir M. Gutierrez, Anand V. Sastry, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 11
Pareto-optimal sampling for multi-objective protein sequence design
Jiaqi Luo, Kerr Ding, Yunan Luo
iScience (2025) Vol. 28, Iss. 3, pp. 112119-112119
Open Access
How well do contextual protein encodings learn structure, function, and evolutionary context?
Sai Pooja Mahajan, Fátima A. Dávila-Hernández, Jeffrey A. Ruffolo, et al.
Cell Systems (2025) Vol. 16, Iss. 3, pp. 101201-101201
Closed Access
AI-enhanced profiling of phage-display-identified anti-TIM3 and anti-TIGIT novel antibodies
Astrid Musnier, Yannick Corde, A. Verdier, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Engineering highly active nuclease enzymes with machine learning and high-throughput screening
Neil Thomas, David Belanger, Chenling Xu, et al.
Cell Systems (2025) Vol. 16, Iss. 3, pp. 101236-101236
Open Access
Flycodes enable simultaneous preclinical analysis for dozens of antibodies in single cassette–dosed mice
Justin D. Walter, Michał Beffinger, Pascal Egloff, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 12
Open Access
Protein sequence modelling with Bayesian flow networks
Timothy Atkinson, Thomas D. Barrett, Scott Cameron, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Accelerating antibody discovery and optimization with high-throughput experimentation and machine learning
Ryo Matsunaga, Kouhei Tsumoto
Journal of Biomedical Science (2025) Vol. 32, Iss. 1
Open Access
Extracellular vesicles for developing targeted hearing loss therapy
Xiaoshu Pan, Yanjun Li, Peixin Huang, et al.
Journal of Controlled Release (2024) Vol. 366, pp. 460-478
Closed Access | Times Cited: 3
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