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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:

Deciphering the language of antibodies using self-supervised learning
Jinwoo Leem, L. Mitchell, James H. R. Farmery, et al.
Patterns (2022) Vol. 3, Iss. 7, pp. 100513-100513
Open Access | Times Cited: 95

Showing 1-25 of 95 citing articles:

ProGen2: Exploring the boundaries of protein language models
Erik Nijkamp, Jeffrey A. Ruffolo, Eli N. Weinstein, et al.
Cell Systems (2023) Vol. 14, Iss. 11, pp. 968-978.e3
Open Access | Times Cited: 162
Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
Jeffrey A. Ruffolo, Lee‐Shin Chu, Sai Pooja Mahajan, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 154
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Rahmad Akbar, Habib Bashour, Puneet Rawat, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 76
In silico proof of principle of machine learning-based antibody design at unconstrained scale
Rahmad Akbar, Philippe A. Robert, Cédric R. Weber, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 72
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 58
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: 49
Development and use of machine learning algorithms in vaccine target selection
Barbara Bravi
npj Vaccines (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 22
Improving antibody language models with native pairing
Sarah Burbach, Bryan Briney
Patterns (2024) Vol. 5, Iss. 5, pp. 100967-100967
Open Access | Times Cited: 19
Addressing the antibody germline bias and its effect on language models for improved antibody design
Tobias Hegelund Olsen, Iain H. Moal, Charlotte M. Deane
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 13
Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery
Wiktoria Wilman, Sonia Wróbel, Weronika Bielska, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 57
Linguistically inspired roadmap for building biologically reliable protein language models
Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 5, pp. 485-496
Closed Access | Times Cited: 30
The RESP AI model accelerates the identification of tight-binding antibodies
Jonathan Parkinson, Ryan Hard, Wei Wang
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 26
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: 25
Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features
Ameya Harmalkar, Roshan Rao, Yuxuan Richard Xie, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 25
Approaches to expand the conventional toolbox for discovery and selection of antibodies with drug-like physicochemical properties
Hristo L. Svilenov, Paolo Arosio, Tim Menzen, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 23
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
Innovations and trends in antibody repertoire analysis
Douglas R. Townsend, Dalton M. Towers, Jason J. Lavinder, et al.
Current Opinion in Biotechnology (2024) Vol. 86, pp. 103082-103082
Closed Access | Times Cited: 7
Fine-tuning protein language models boosts predictions across diverse tasks
Robert Schmirler, Michael Heinzinger, Burkhard Rost
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Enhancing Antibody Language Models with Structural Information
Justin Barton, Jacob D. Galson, Jinwoo Leem
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
nanoBERT: a deep learning model for gene agnostic navigation of the nanobody mutational space
Johannes Thorling Hadsund, Tadeusz Satława, Bartosz Janusz, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 6
Automated optimisation of solubility and conformational stability of antibodies and proteins
Angelo Rosace, Anja Bennett, Marc Oeller, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
On Pre-trained Language Models for Antibody
Danqing Wang, Fei Ye, Hao Zhou
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 16
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: 16
Deep learning in preclinical antibody drug discovery and development
Yuwei Zhou, Ziru Huang, Wenzhen Li, et al.
Methods (2023) Vol. 218, pp. 57-71
Closed Access | Times Cited: 16
A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties
Andrew B. Waight, David Příhoda, Rojan Shrestha, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 16
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