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:

Machine learning-guided discovery and design of non-hemolytic peptides
Fabien Plisson, Obed Ramírez‐Sánchez, Cristina Martínez-Hernández
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 919

Accelerating antibiotic discovery through artificial intelligence
Marcelo C. R. Melo, Jacqueline R. M. A. Maasch, César de la Fuente‐Núñez
Communications Biology (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 154

Natural product drug discovery in the artificial intelligence era
Fernanda I. Saldívar‐González, Victor Daniel Aldas-Bulos, José L. Medina‐Franco, et al.
Chemical Science (2021) Vol. 13, Iss. 6, pp. 1526-1546
Open Access | Times Cited: 139

Machine learning designs non-hemolytic antimicrobial peptides
Alice Capecchi, Xingguang Cai, Hippolyte Personne, et al.
Chemical Science (2021) Vol. 12, Iss. 26, pp. 9221-9232
Open Access | Times Cited: 115

Synthetic extracellular matrices with function-encoding peptides
Cosimo Ligorio, Álvaro Mata
Nature Reviews Bioengineering (2023) Vol. 1, Iss. 7, pp. 518-536
Open Access | Times Cited: 88

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP
Paulina Szymczak, Marcin Możejko, Tomasz Grzegorzek, et al.
Nature Communications (2023) Vol. 14, Iss. 1
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

Self-assembly of peptides: The acceleration by molecular dynamics simulations and machine learning
Nana Cao, Kang Huang, Jianjun Xie, et al.
Nano Today (2024) Vol. 55, pp. 102160-102160
Closed Access | Times Cited: 16

Toxicity prediction based on artificial intelligence: A multidisciplinary overview
Efrén Pérez‐Santín, Raquel Rodríguez‐Solana, Mariano González García, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2021) Vol. 11, Iss. 5
Closed Access | Times Cited: 97

Traditional and Computational Screening of Non-Toxic Peptides and Approaches to Improving Selectivity
Alberto A. Robles-Loaiza, Edgar A. Pinos-Tamayo, Bruno Mendes, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 3, pp. 323-323
Open Access | Times Cited: 44

Advances in Antimicrobial Peptide Discovery via Machine Learning and Delivery via Nanotechnology
Alexa Sowers, Guangshun Wang, Malcolm Xing, et al.
Microorganisms (2023) Vol. 11, Iss. 5, pp. 1129-1129
Open Access | Times Cited: 27

Prediction of the synergistic effect of antimicrobial peptides and antimicrobial agents via supervised machine learning
Basak Olcay, Gizem Dilara Özdemir, Mehmet Akif Özdemir, et al.
BMC Biomedical Engineering (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 12

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

Classical and emerging approximations for the screening of antimicrobial peptide libraries
Cristian F. Rodríguez, Valentina Quezada, Valentina Andrade-Pérez, et al.
Elsevier eBooks (2025), pp. 195-232
Closed Access | Times Cited: 1

The sequenced genomes of nonflowering land plants reveal the innovative evolutionary history of peptide signaling
Chihiro Furumizu, Anders K. Krabberød, Marta Hammerstad, et al.
The Plant Cell (2021) Vol. 33, Iss. 9, pp. 2915-2934
Open Access | Times Cited: 46

AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning
Milad Salem, Arash Keshavarzi Arshadi, J.S. Yuan
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 37

Synthetic molecular evolution of antimicrobial peptides
Charles H. Chen, Tristan Bepler, Karen Pepper, et al.
Current Opinion in Biotechnology (2022) Vol. 75, pp. 102718-102718
Open Access | Times Cited: 33

Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence
Mariana del Carmen Aguilera‐Puga, Natalia L. Cancelarich, Mariela M. Marani, et al.
Methods in molecular biology (2023), pp. 329-352
Closed Access | Times Cited: 19

Protein-based nanoparticles for therapeutic nucleic acid delivery
Feyisayo Eweje, Michelle L. Walsh, Kiran Ahmad, et al.
Biomaterials (2024) Vol. 305, pp. 122464-122464
Closed Access | Times Cited: 8

Molecular similarity: Theory, applications, and perspectives
Kenneth López‐Pérez, Juan F. Avellaneda-Tamayo, Lexin Chen, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100077-100077
Open Access | Times Cited: 8

Structure-aware machine learning strategies for antimicrobial peptide discovery
Mariana del Carmen Aguilera‐Puga, Fabien Plisson
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7

Synthetic peptide (DP1) functionalized graphene oxide: A biocompatible nanoformulation with broad-spectrum antibacterial and antibiofilm activity
Shubhi Joshi, Jatin Chadha, Kusum Harjai, et al.
FlatChem (2024) Vol. 44, pp. 100626-100626
Closed Access | Times Cited: 6

Peptides in chemical space
Alice Capecchi, Jean‐Louis Reymond
Medicine in Drug Discovery (2021) Vol. 9, pp. 100081-100081
Open Access | Times Cited: 37

Natural antimicrobial peptides as a source of new antiviral agents
Hovakim Zakaryan, Garri Chilingaryan, Erik Arabyan, et al.
Journal of General Virology (2021) Vol. 102, Iss. 9
Open Access | Times Cited: 34

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