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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:

Learning the language of viral evolution and escape
Brian Hie, Ellen D. Zhong, Bonnie Berger, et al.
Science (2021) Vol. 371, Iss. 6526, pp. 284-288
Open Access | Times Cited: 260

Showing 1-25 of 260 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1477
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 47-60
Closed Access | Times Cited: 588
Learning the protein language: Evolution, structure, and function
Tristan Bepler, Bonnie Berger
Cell Systems (2021) Vol. 12, Iss. 6, pp. 654-669.e3
Open Access | Times Cited: 330
The language of proteins: NLP, machine learning & protein sequences
Dan Ofer, Nadav Brandes, Michal Linial
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 1750-1758
Open Access | Times Cited: 262
High-resolutionde novostructure prediction from primary sequence
Ruidong Wu, Fan Ding, Rui Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 260
Evolutionary-scale prediction of atomic level protein structure with a language model
Zeming Lin, Halil Akin, Roshan Rao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 251
Efficient evolution of human antibodies from general protein language models
Brian Hie, Varun R. Shanker, Duo Xu, et al.
Nature Biotechnology (2023) Vol. 42, Iss. 2, pp. 275-283
Open Access | Times Cited: 203
Algorithm for optimized mRNA design improves stability and immunogenicity
He Zhang, Liang Zhang, Ang Lin, et al.
Nature (2023) Vol. 621, Iss. 7978, pp. 396-403
Open Access | Times Cited: 167
Predicting the mutational drivers of future SARS-CoV-2 variants of concern
M. Cyrus Maher, István Bartha, Steven Weaver, et al.
Science Translational Medicine (2022) Vol. 14, Iss. 633
Open Access | Times Cited: 156
The Evolution and Biology of SARS-CoV-2 Variants
Amalio Telenti, Emma B. Hodcroft, David L. Robertson
Cold Spring Harbor Perspectives in Medicine (2022) Vol. 12, Iss. 5, pp. a041390-a041390
Open Access | Times Cited: 152
Leveraging artificial intelligence in the fight against infectious diseases
Felix Wong, César de la Fuente‐Núñez, James J. Collins
Science (2023) Vol. 381, Iss. 6654, pp. 164-170
Open Access | Times Cited: 134
ECNet is an evolutionary context-integrated deep learning framework for protein engineering
Yunan Luo, Guangde Jiang, Tianhao Yu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 122
Deep generative molecular design reshapes drug discovery
Xiangxiang Zeng, Fei Wang, Yuan Luo, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 12, pp. 100794-100794
Open Access | Times Cited: 122
A Detailed Overview of Immune Escape, Antibody Escape, Partial Vaccine Escape of SARS-CoV-2 and Their Emerging Variants With Escape Mutations
Chiranjib Chakraborty, Ashish Ranjan Sharma, Manojit Bhattacharya, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 117
Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization
Sisi Shan, Shitong Luo, Ziqing Yang, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 11
Open Access | Times Cited: 96
Machine Learning for Lung Cancer Diagnosis, Treatment, and Prognosis
Yawei Li, Wu Xin, Ping Yang, et al.
Genomics Proteomics & Bioinformatics (2022) Vol. 20, Iss. 5, pp. 850-866
Open Access | Times Cited: 86
Evolutionary velocity with protein language models predicts evolutionary dynamics of diverse proteins
Brian Hie, Kevin Yang, Peter S. Kim
Cell Systems (2022) Vol. 13, Iss. 4, pp. 274-285.e6
Open Access | Times Cited: 85
Contrastive learning in protein language space predicts interactions between drugs and protein targets
Rohit Singh, Samuel Sledzieski, Bryan D. Bryson, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 24
Open Access | Times Cited: 76
Learning from prepandemic data to forecast viral escape
Nicole N. Thadani, Sarah F. Gurev, Pascal Notin, et al.
Nature (2023) Vol. 622, Iss. 7984, pp. 818-825
Open Access | Times Cited: 62
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: 40
Computational scoring and experimental evaluation of enzymes generated by neural networks
Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 19
Using big sequencing data to identify chronic SARS-Coronavirus-2 infections
Sheri Harari, Danielle Miller, Shay Fleishon, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 12
Holistic One Health Surveillance Framework: Synergizing Environmental, Animal, and Human Determinants for Enhanced Infectious Disease Management
Samradhi Singh, Poonam Sharma, Namrata Pal, et al.
ACS Infectious Diseases (2024) Vol. 10, Iss. 3, pp. 808-826
Closed Access | Times Cited: 12
SARS-CoV-2 Quantum Sensor Based on Nitrogen-Vacancy Centers in Diamond
Changhao Li, Rouhollah Soleyman, Mohammad Kohandel, et al.
Nano Letters (2021) Vol. 22, Iss. 1, pp. 43-49
Open Access | Times Cited: 76
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 70
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