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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:

Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries
Lin Li, Esther Gupta, John Spaeth, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

Production Technologies for Recombinant Antibodies: Insights into Eukaryotic, Prokaryotic, and Transgenic Expression Systems
Muhammad Saleem, Ghulam Zahra Jahangir, Ammara Saleem, et al.
Biochemical Genetics (2024)
Closed Access
High-throughput and multimodal profiling of antigen-specific T cells with a droplet-based cell-cell interaction screening platform
Shiyu Wang, Yan Zhou, Ke Ding, et al.
Biosensors and Bioelectronics (2024) Vol. 267, pp. 116815-116815
Closed Access
AlphaBind, a Domain-Specific Model to Predict and Optimize Antibody-Antigen Binding Affinity
Aditya Agarwal, James Harrang, David Noble, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A systematic review of deep learning chemical language models in recent era
Hector Flores-Hernandez, Emmanuel Martínez-Ledesma
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
Evaluating predictive patterns of antigen-specific B cells by single-cell transcriptome and antibody repertoire sequencing
Lena Erlach, Raphael Kuhn, Andreas Agrafiotis, et al.
Cell Systems (2024)
Closed Access
The Application of Machine Learning on Antibody Discovery and Optimization
Jiayao Zheng, Yu Wang, Qin Liang, et al.
Molecules (2024) Vol. 29, Iss. 24, pp. 5923-5923
Open Access
Predicting adaptive immune receptor specificities by machine learning is a data generation problem
Derek M. Mason, Sai T. Reddy
Cell Systems (2024) Vol. 15, Iss. 12, pp. 1190-1197
Open Access
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
Timothy J O'Donnell, Chakravarthi Kanduri, Giulio Isacchini, et al.
Cell Systems (2024) Vol. 15, Iss. 12, pp. 1168-1189
Open Access
Novel Bio-Engineering Techniques for Construction of Next-Generation Monoclonal Antibodies in the Framework of Personalized Medicine
Mahdi Barazesh, Shiva Mohammadi, Sajad Jalili
IntechOpen eBooks (2024)
Closed Access
Engineering antibodies with cancer‐associated binding sites
Yulong Tian, Yun Pan, Yingchun Zhang, et al.
BMEMat (2024)
Open Access
Improving antibody optimization ability of generative adversarial network through large language model
Wenbin Zhao, Xiaowei Luo, Fan Tong, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 5839-5850
Open Access | Times Cited: 1
Safeguarding Mail-Order DNA Synthesis in the Age of Artificial Intelligence
Stephanie Batalis, Caroline Schuerger, Gigi Kwik Grönvall, et al.
Applied Biosafety (2023) Vol. 29, Iss. 2, pp. 79-84
Closed Access | Times Cited: 1
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