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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:

Rational Discovery of Antimicrobial Peptides by Means of Artificial Intelligence
Paola Ruiz Puentes, María C. Henao, Javier Cifuentes, et al.
Membranes (2022) Vol. 12, Iss. 7, pp. 708-708
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Antimicrobial peptides: An alternative to traditional antibiotics
Shuaiqi Ji, Feiyu An, Taowei Zhang, et al.
European Journal of Medicinal Chemistry (2023) Vol. 265, pp. 116072-116072
Closed Access | Times Cited: 47
Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning
Jielu Yan, Jianxiu Cai, Bob Zhang, et al.
Antibiotics (2022) Vol. 11, Iss. 10, pp. 1451-1451
Open Access | Times Cited: 59
Plasma medicine: The era of artificial intelligence
Utku Kürşat Ercan, Gizem Dilara Özdemir, Mehmet Akif Özdemir, et al.
Plasma Processes and Polymers (2023) Vol. 20, Iss. 12
Open Access | Times Cited: 28
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: 23
Heterologous Production of Antimicrobial Peptides: Notes to Consider
Masoumeh Kordi, Parnian Ghaedi Talkhounche, Helia Vahedi, et al.
The Protein Journal (2024) Vol. 43, Iss. 2, pp. 129-158
Closed Access | Times Cited: 8
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
AI-driven antimicrobial peptides for drug development
Y. K. Arora, H. B. Lalwani, Ajay Kumar, et al.
Methods in microbiology (2025)
Closed Access
Artificial intelligence for the discovery of antimicrobial peptides
Paola Ruiz Puentes, Nicolás Aparicio, Pablo Arbeláez
Elsevier eBooks (2025), pp. 59-79
Closed Access
Computational tools for handling large databases of biological relevance
Nicolás Aparicio, Paula Cárdenas, Juanita Puentes, et al.
Elsevier eBooks (2025), pp. 81-96
Closed Access
Statistical analysis and data interpretation
Luis H. Reyes, Juan C. Cruz
Elsevier eBooks (2025), pp. 97-118
Closed Access
Bioinformatic methods for the design of antimicrobial peptides
Luis H. Reyes, Juan C. Cruz
Elsevier eBooks (2025), pp. 3-36
Closed Access
Harnessing AI for Enhanced Screening of Antimicrobial Bioactive Compounds in Food Safety and Preservation
Mengyue Zhou, Juliana Pinto de Lima, Hefei Zhao, et al.
Trends in Food Science & Technology (2025), pp. 104887-104887
Closed Access
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: 4
Deep Learning and Antibiotic Resistance
Stefan‐Lucian Popa, Cristina Pop, Miruna Oana Dita, et al.
Antibiotics (2022) Vol. 11, Iss. 11, pp. 1674-1674
Open Access | Times Cited: 21
Preparation of antimicrobial peptides and their combination with hydrogels for wound healing applications
Yuanyuan Guo, Fengyuan Gao, Muhammad Rafiq, et al.
International Journal of Biological Macromolecules (2024) Vol. 274, pp. 133494-133494
Closed Access | Times Cited: 3
Future Perspective: Harnessing the Power of Artificial Intelligence in the Generation of New Peptide Drugs
Nour Nissan, M. C. ALLEN, David A. Sabatino, et al.
Biomolecules (2024) Vol. 14, Iss. 10, pp. 1303-1303
Open Access | Times Cited: 2
Antimicrobial spectrum against wound pathogens and cytotoxicity of star-arranged poly-l-lysine-based antimicrobial peptide polymers
Aaron Doherty, Robert Murphy, Andreas Heise, et al.
Journal of Medical Microbiology (2024) Vol. 73, Iss. 9
Closed Access | Times Cited: 1
Production and development of novel drug targets through AI
Ghada Abd‐Elmonsef Mahmoud, Omnia Karem M. Riad, Mona Shaban E. M. Badawy
Methods in microbiology (2024), pp. 1-28
Closed Access
deepAMPNet: a novel antimicrobial peptide predictor employing AlphaFold2 predicted structures and a bi-directional long short-term memory protein language model
Fei Zhao, Junhui Qiu, Dongyou Xiang, et al.
PeerJ (2024) Vol. 12, pp. e17729-e17729
Open Access
Antimicrobial activities of casein
Javier Cifuentes, Paola Ruiz Puentes, Pablo Arbeláez, et al.
Elsevier eBooks (2024), pp. 331-353
Closed Access
Deep learning neural network development for the classification of bacteriocin sequences produced by lactic acid bacteria
Lady L. González, Isaac Arias-Serrano, Fernando Villalba-Meneses, et al.
F1000Research (2024) Vol. 13, pp. 981-981
Open Access
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation
Magdalena Wysocka, Oskar Wysocki, Maxime Delmas, et al.
Journal of Biomedical Informatics (2024), pp. 104724-104724
Open Access
AbAMPdb: a database of Acinetobacter baumannii specific antimicrobial peptides
Farha Anwer, Ali Navid, F. A. Faiz, et al.
Database (2024) Vol. 2024
Open Access
Screening and Preparation of a Short Chain Antimicrobial Peptide SFPAS
Yuanyuan Guo, Hailin Cong, Youqing Shen, et al.
Integrated ferroelectrics (2024) Vol. 240, Iss. 2, pp. 383-387
Closed Access
Biopreservation strategies using bacteriocins to control meat spoilage and foodborne outbreaks
Nathália Fernandes, Fouad Achemchem, Úrsula Gonzales-Barrón, et al.
Italian Journal of Food Safety (2024)
Open Access
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