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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:

An all-atom protein generative model
Alexander E. Chu, Lucy Cheng, Gina El Nesr, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 17

Showing 17 citing articles:

Machine learning for functional protein design
Pascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 216-228
Closed Access | Times Cited: 88
Protein generation with evolutionary diffusion: sequence is all you need
Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 64
Sparks of function by de novo protein design
Alexander E. Chu, Tianyu Lu, Po‐Ssu Huang
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 203-215
Closed Access | Times Cited: 31
Diffusion models in protein structure and docking
Jason Yim, H. Stärk, Gabriele Corso, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 2
Open Access | Times Cited: 16
Scalable protein design using optimization in a relaxed sequence space
Christopher L. Frank, Ali Khoshouei, Lara Fuβ, et al.
Science (2024) Vol. 386, Iss. 6720, pp. 439-445
Closed Access | Times Cited: 13
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions
Doo Nam Kim, Andrew McNaughton, Neeraj Kumar
Bioengineering (2024) Vol. 11, Iss. 2, pp. 185-185
Open Access | Times Cited: 10
Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency
C.S. Wang, Yannan Qu, Zhangzhi Peng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9
Protein Design Using Structure-Prediction Networks: AlphaFold and RoseTTAFold as Protein Structure Foundation Models
Jue Wang, Joseph L. Watson, Sidney L. Lisanza
Cold Spring Harbor Perspectives in Biology (2024) Vol. 16, Iss. 7, pp. a041472-a041472
Closed Access | Times Cited: 9
Revolutionizing oncology: the role of Artificial Intelligence (AI) as an antibody design, and optimization tools
Varun Dewaker, Vivek Kumar Morya, Yeon-Ju Kim, et al.
Biomarker Research (2025) Vol. 13, Iss. 1
Open Access
An integrative approach to protein sequence design through multiobjective optimization
Lu Hong, Tanja Kortemme
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1011953-e1011953
Open Access | Times Cited: 3
AptaDiff: de novo design and optimization of aptamers based on diffusion models
Zhen Wang, Ziqi Liu, Wei Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 3
FrameDiPT: SE(3) Diffusion Model for Protein Structure Inpainting
Cheng Zhang, Adam Leach, Thomas Makkink, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
An integrative approach to protein sequence design through multiobjective optimization
Hong Lu, Tanja Kortemme
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Scaffold-Lab: Critical Evaluation and Ranking of Protein Backbone Generation Methods in A Unified Framework
Zhuoqi Zheng, Bo Zhang, Bozitao Zhong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Unified Framework of Scaffold-Lab for Critical Assessment of Protein Backbone Generation Methods
Haifeng Chen, Zhuoqi Zheng, Bo Zhang, et al.
Research Square (Research Square) (2024)
Open Access
AI-accelerated therapeutic antibody development: practical insights
Luca Santuari, Marianne Bachmann Salvy, Ioannis Xénarios, et al.
Frontiers in Drug Discovery (2024) Vol. 4
Open Access
De Novo Antibody Design with SE(3) Diffusion
Daniel Cutting, Frédéric A. Dreyer, David Errington, et al.
Journal of Computational Biology (2024)
Closed Access
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