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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:

Unsupervised evolution of protein and antibody complexes with a structure-informed language model
Varun R. Shanker, Theodora U. J. Bruun, Brian Hie, et al.
Science (2024) Vol. 385, Iss. 6704, pp. 46-53
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 72
Sequence modeling and design from molecular to genome scale with Evo
Eric Nguyen, Michael Poli, Matthew G. Durrant, et al.
Science (2024) Vol. 386, Iss. 6723
Open Access | Times Cited: 64
Rapid in silico directed evolution by a protein language model with EVOLVEpro
Kaiyi Jiang, Zhaoqing Yan, Matteo Di Bernardo, et al.
Science (2024)
Closed Access | Times Cited: 23
Enabling the immune escaped etesevimab fully-armed against SARS-CoV-2 Omicron subvariants including KP.2
Chao Su, Juanhua He, Yufeng Xie, et al.
hLife (2025)
Open Access | Times Cited: 2
FASTIA: A rapid and accessible platform for protein variant interaction analysis demonstrated with a single‐domain antibody
Ryo Matsunaga, Kouhei Tsumoto
Protein Science (2025) Vol. 34, Iss. 3
Open Access | Times Cited: 1
Pretrainable geometric graph neural network for antibody affinity maturation
Huiyu Cai, Zuobai Zhang, Mingkai Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Rapid protein evolution by few-shot learning with a protein language model
Kaiyi Jiang, Zhaoqing Yan, Matteo Di Bernardo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
The Nobel Prize in Chemistry: past, present, and future of AI in biology
Luciano A. Abriata
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
Fast and accurate modeling of TCR-peptide-MHC complexes using tFold-TCR
Fandi Wu, Yu Zhao, Yang Xiao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Physical-aware model accuracy estimation for protein complex using deep learning method
Haodong Wang, Meng Sun, Lei Xie, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access
AI in SERS sensing moving from discriminative to generative
Steven M. Quarin, Der Vang, Ruxandra I. Dima, et al.
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
De Novo Design of Large Polypeptides Using a Lightweight Diffusion Model Integrating LSTM and Attention Mechanism Under Per-Residue Secondary Structure Constraints
S. A. Liao, Gang Xu, Jin Li, et al.
Molecules (2025) Vol. 30, Iss. 5, pp. 1116-1116
Open Access
EvoNB: A Protein Language Model-Based Workflow for Nanobody Mutation Prediction and Optimization
Danyang Xiong, Yongfan Ming, Yuting Li, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101260-101260
Open Access
Structural and virological identification of neutralizing antibody footprint provides insights into therapeutic antibody design against SARS-CoV-2 variants
Yuki Anraku, Shunsuke Kita, Taishi Onodera, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
Ella Barkan, I. Siddiqui, Kevin J. Cheng, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access
Artificial intelligence in de novo protein design
J. T. P. Yao, Xiaogang Wang
Medicine in Novel Technology and Devices (2025), pp. 100366-100366
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
Deep learning methods for protein representation and function prediction: A comprehensive overview
Mingqing Wang, Zhiwei Nie, Yonghong He, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 155, pp. 110977-110977
Closed Access
Generative Deep Learning Design of Single-Domain Antibodies Against Venezuelan Equine Encephalitis Virus
Jinny L. Liu, Gabrielle C. Bayacal, Jerome Anthony E. Alvarez, et al.
Antibodies (2025) Vol. 14, Iss. 2, pp. 41-41
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 | Times Cited: 3
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 | Times Cited: 2
ProteinAligner: A Multi-modal Pretraining Framework for Protein Foundation Models
Li Zhang, Han Guo, Leah V. Schaffer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Protein A-like Peptide Design Based on Diffusion and ESM2 Models
Long Zhao, Qiang He, Huijia Song, et al.
Molecules (2024) Vol. 29, Iss. 20, pp. 4965-4965
Open Access | Times Cited: 1
Allosteric antibodies: a novel paradigm in drug discovery
Léxane Fournier, Enrico Guarnera, Harald Kolmar, et al.
Trends in Pharmacological Sciences (2024)
Open Access | Times Cited: 1
Enhancing Enzyme Activity with Mutation Combinations Guided by Few-shot Learning and Causal Inference
Boxue Tian, Lin Guo, Xiaoguang Yan, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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