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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:

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: 47

Showing 1-25 of 47 citing articles:

A Survey on Generative Diffusion Models
Hanqun Cao, Cheng Tan, Zhangyang Gao, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 2814-2830
Closed Access | Times Cited: 77
Simulating 500 million years of evolution with a language model
Thomas Hayes, Roshan Rao, Halil Akin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 69
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: 66
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: 51
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: 27
Protein language models are biased by unequal sequence sampling across the tree of life
Frances Ding, Jacob Steinhardt
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 18
Advances in AI for Protein Structure Prediction: Implications for Cancer Drug Discovery and Development
Xinru Qiu, H. Li, Greg Ver Steeg, et al.
Biomolecules (2024) Vol. 14, Iss. 3, pp. 339-339
Open Access | Times Cited: 12
Simulating 500 million years of evolution with a language model
Thomas Hayes, Roshan Rao, Halil Akin, et al.
Science (2025)
Open Access | Times Cited: 1
Assessing the limits of zero-shot foundation models in single-cell biology
Katarzyna Kedzierska, Lorin Crawford, Ava P. Amini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 24
DNA-Diffusion: Leveraging Generative Models for Controlling Chromatin Accessibility and Gene Expression via Synthetic Regulatory Elements
Lucas F. daSilva, Simon Senan, Z. Patel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 11
AMP-Diffusion: Integrating Latent Diffusion with Protein Language Models for Antimicrobial Peptide Generation
Tianlai Chen, Pranay Vure, Rishab Pulugurta, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9
Generative artificial intelligence for de novo protein design
Adam Winnifrith, Carlos Outeiral, Brian Hie
Current Opinion in Structural Biology (2024) Vol. 86, pp. 102794-102794
Open Access | Times Cited: 9
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: 7
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: 7
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: 6
Multistate and functional protein design using RoseTTAFold sequence space diffusion
Sidney Lyayuga Lisanza, Jacob Merle Gershon, S. Tipps, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 6
Assessing Generative Model Coverage of Protein Structures with SHAPES
Tianyu Lu, Melissa Liu, Yilin Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
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: 5
Protein codes promote selective subcellular compartmentalization
Henry R. Kilgore, Itamar Chinn, Peter G. Mikhael, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
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: 2
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
PD-1 Targeted Antibody Discovery Using AI Protein Diffusion
Colby T. Ford
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 1
PD-1 Targeted Antibody Discovery Using AI Protein Diffusion
Colby T. Ford
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Miniaturizing, Modifying, and Augmenting Nature’s Proteins with Raygun
Kapil Devkota, Daichi Shonai, J. G. Mao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
AI-driven antibody design with generative diffusion models: current insights and future directions
Xinheng He, Jun-Rui Li, James Xu, et al.
Acta Pharmacologica Sinica (2024)
Closed Access | Times Cited: 1
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