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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:

Deep generative models for peptide design
Fangping Wan, Daphne Kontogiorgos-Heintz, César de la Fuente‐Núñez
Digital Discovery (2022) Vol. 1, Iss. 3, pp. 195-208
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

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: 154
Antibiotic failure: Beyond antimicrobial resistance
César de la Fuente‐Núñez, Angela Cesaro, Robert E. W. Hancock
Drug Resistance Updates (2023) Vol. 71, pp. 101012-101012
Closed Access | Times Cited: 97
Bacterial resistance to antibacterial agents: Mechanisms, control strategies, and implications for global health
Ting Li, Zhenlong Wang, Jianhua Guo, et al.
The Science of The Total Environment (2022) Vol. 860, pp. 160461-160461
Open Access | Times Cited: 85
Machine learning for antimicrobial peptide identification and design
Fangping Wan, Felix Wong, James J. Collins, et al.
Nature Reviews Bioengineering (2024) Vol. 2, Iss. 5, pp. 392-407
Closed Access | Times Cited: 52
Deep-learning-enabled antibiotic discovery through molecular de-extinction
Fangping Wan, Marcelo D. T. Torres, Jacqueline Peng, et al.
Nature Biomedical Engineering (2024) Vol. 8, Iss. 7, pp. 854-871
Open Access | Times Cited: 44
Mining human microbiomes reveals an untapped source of peptide antibiotics
Marcelo D. T. Torres, Erin F. Brooks, Angela Cesaro, et al.
Cell (2024) Vol. 187, Iss. 19, pp. 5453-5467.e15
Open Access | Times Cited: 41
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides
Montserrat Goles, Anamaria Sanchez–Daza, Gabriel Cabas-Mora, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 30
AI Methods for Antimicrobial Peptides: Progress and Challenges
Carlos A. Brizuela, Gary Liu, J Stokes, et al.
Microbial Biotechnology (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Advanced delivery systems for peptide antibiotics
Angela Cesaro, Shuang‐Zhe Lin, Norbert Pardi, et al.
Advanced Drug Delivery Reviews (2023) Vol. 196, pp. 114733-114733
Open Access | Times Cited: 40
Deep learning tools to accelerate antibiotic discovery
Angela Cesaro, Mojtaba Bagheri, Marcelo D. T. Torres, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1245-1257
Closed Access | Times Cited: 27
Geometric deep learning as a potential tool for antimicrobial peptide prediction
Fabiano C. Fernandes, Marlon H. Cardoso, Abel Gil-Ley, et al.
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 25
Therapeutic Peptide Development Revolutionized: Harnessing the Power of Artificial Intelligence for Drug Discovery
Samaneh Hashemi, Parisa Vosough, Saeed Taghizadeh, et al.
Heliyon (2024) Vol. 10, Iss. 22, pp. e40265-e40265
Open Access | Times Cited: 9
Molecular Dynamics (MD)-Derived Features for Canonical and Noncanonical Amino Acids
Tiffani Hui, Maxim Secor, Minh Ngoc Ho, et al.
Journal of Chemical Information and Modeling (2025)
Open Access | Times Cited: 1
Discovery of antimicrobial peptides with notable antibacterial potency by an LLM-based foundation model
Jike Wang, Jianwen Feng, Yu Kang, et al.
Science Advances (2025) Vol. 11, Iss. 10
Open Access | Times Cited: 1
Emerging Computational Approaches for Antimicrobial Peptide Discovery
Guillermín Agüero‐Chapín, Deborah Galpert Cañizares, Dany Domínguez‐Pérez, et al.
Antibiotics (2022) Vol. 11, Iss. 7, pp. 936-936
Open Access | Times Cited: 32
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences
Jacqueline A. Valeri, Luis R. Soenksen, Katherine M. Collins, et al.
Cell Systems (2023) Vol. 14, Iss. 6, pp. 525-542.e9
Open Access | Times Cited: 22
A Systematic Review of Deep Learning Methodologies Used in the Drug Discovery Process with Emphasis on In Vivo Validation
Nikoletta-Maria Koutroumpa, Konstantinos D. Papavasileiou, Anastasios G. Papadiamantis, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6573-6573
Open Access | Times Cited: 19
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information
Shaherin Basith, Nhat Truong Pham, Minkyung Song, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107386-107386
Closed Access | Times Cited: 19
Artificial intelligence-driven antimicrobial peptide discovery
Paulina Szymczak, Ewa Szczurek
Current Opinion in Structural Biology (2023) Vol. 83, pp. 102733-102733
Open Access | Times Cited: 18
Challenges in computational discovery of bioactive peptides in ’omics data
Luís Pedro Coelho, Célio Dias Santos Júnior, César de la Fuente‐Núñez
PROTEOMICS (2024) Vol. 24, Iss. 12-13
Open Access | Times Cited: 8
Vaccine design and development: Exploring the interface with computational biology and AI
Ananya Ananya, Darshan C. Panchariya, Anandakrishnan Karthic, et al.
International Reviews of Immunology (2024) Vol. 43, Iss. 6, pp. 361-380
Closed Access | Times Cited: 7
Advancements in peptide-based antimicrobials: A possible option for emerging drug-resistant infections
Nitin Yadav, Virander S. Chauhan
Advances in Colloid and Interface Science (2024) Vol. 333, pp. 103282-103282
Closed Access | Times Cited: 6
Machine Learning Guided Discovery of Non‐Hemolytic Membrane Disruptive Anticancer Peptides
E. Yu. Zakharova, Markus Orsi, Alice Capecchi, et al.
ChemMedChem (2022) Vol. 17, Iss. 17
Open Access | Times Cited: 26
Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era
Liwei Chang, Arup Mondal, Bhumika Singh, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 14, Iss. 1
Closed Access | Times Cited: 16
Mining for antimicrobial peptides in sequence space
Fangping Wan, César de la Fuente‐Núñez
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 707-708
Closed Access | Times Cited: 11
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