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:

Intelligent De Novo Design of Novel Antimicrobial Peptides against Antibiotic-Resistant Bacteria Strains
Tzu-Tang Lin, Li-Yen Yang, Chung‐Yen Lin, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6788-6788
Open Access | Times Cited: 20

Showing 20 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: 56

Antimicrobial Peptides towards Clinical Application—A Long History to Be Concluded
Laura Cresti, Giovanni Cappello, Alessandro Pini
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 9, pp. 4870-4870
Open Access | Times Cited: 26

Deep learning for advancing peptide drug development: Tools and methods in structure prediction and design
Xinyi Wu, Huitian Lin, Renren Bai, et al.
European Journal of Medicinal Chemistry (2024) Vol. 268, pp. 116262-116262
Closed Access | Times Cited: 9

Antimicrobial Peptides: Potential Alternative to Antibiotics and Overcoming Limitations for Future Therapeutic Applications
Vrushali Somase, Sharav Desai, Vipul Patel, et al.
International Journal of Peptide Research and Therapeutics (2024) Vol. 30, Iss. 4
Closed Access | Times Cited: 7

The Role of Artificial Intelligence and Machine Learning in Predicting and Combating Antimicrobial Resistance
Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 423-439
Open Access

Microbial production systems and optimization strategies of antimicrobial peptides: a review
Mengxue Lou, Shuaiqi Ji, Rina Wu, et al.
World Journal of Microbiology and Biotechnology (2025) Vol. 41, Iss. 2
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: 5

Reviewing on AI‐Designed Antibiotic Targeting Drug‐Resistant Superbugs by Emphasizing Mechanisms of Action
Zafer Yönden, Samira Reshadi, Ahmad Farrokh Hayati, et al.
Drug Development Research (2025) Vol. 86, Iss. 1
Closed Access

Predicting Antimicrobial Class Specificity of Small Molecules Using Machine Learning
Yojana Gadiya, Olga Genilloud, Ursula Bilitewski, et al.
Journal of Chemical Information and Modeling (2025)
Open Access

Antimicrobial Peptides Derived from Bacteria: Classification, Sources, and Mechanism of Action against Multidrug-Resistant Bacteria
Raynichka Mihaylova-Garnizova, Slavena Davidova, Yordan Hodzhev, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 19, pp. 10788-10788
Open Access | Times Cited: 4

Computational Design of Cyclic Peptide Inhibitors of a Bacterial Membrane Lipoprotein Peptidase
Timothy W. Craven, Mark D. Nolan, Jonathan Bailey, et al.
ACS Chemical Biology (2024) Vol. 19, Iss. 5, pp. 1125-1130
Open Access | Times Cited: 3

De novo multi-mechanism antimicrobial peptide design via multimodal deep learning
Yue Wang, Haifan Gong, Xiaojuan Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

An Ensemble Deep Learning Model for Predicting Minimum Inhibitory Concentrations of Antimicrobial Peptides Against Pathogenic Bacteria
Chia‐Ru Chung, Chung-Yu Chien, Yun Tang, et al.
iScience (2024) Vol. 27, Iss. 9, pp. 110718-110718
Open Access | Times Cited: 2

Integrated computational approaches for advancing antimicrobial peptide development
Yanpeng Fang, Yeshuo Ma, Kunqian Yu, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 11, pp. 1046-1060
Closed Access | Times Cited: 1

Discovery of Highly Bioactive Peptides through Hierarchical Structural Information and Molecular Dynamics Simulations
Shu Li, Lü Peng, Liuqing Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 1

Antibiotics-free compounds for managing carbapenem-resistant bacteria; a narrative review
Aref Shariati, Milad Kashi, Zahra Chegini, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access

dsAMP and dsAMPGAN: Deep Learning Networks for Antimicrobial Peptides Recognition and Generation
Min Zhao, Yu Zhang, M.Z. Wang, et al.
Antibiotics (2024) Vol. 13, Iss. 10, pp. 948-948
Open Access

Recent Progress in Terrestrial Biota Derived Antibacterial Agents for Medical Applications
T. Vladkova, Younes Smani, Boris L. Martinov, et al.
Molecules (2024) Vol. 29, Iss. 20, pp. 4889-4889
Open Access

TG-CDDPM: text-guided antimicrobial peptides generation based on conditional denoising diffusion probabilistic model
Junhang Cao, Jun Zhang, Qiyuan Yu, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access

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