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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 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: 22

Showing 22 citing articles:

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: 81
Discovery of antimicrobial peptides in the global microbiome with machine learning
Célio Dias Santos Júnior, Marcelo D. T. Torres, Yiqian Duan, et al.
Cell (2024) Vol. 187, Iss. 14, pp. 3761-3778.e16
Open Access | Times Cited: 75
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: 37
Machine learning in preclinical drug discovery
Denise B. Catacutan, Jeremie Alexander, Autumn Arnold, et al.
Nature Chemical Biology (2024) Vol. 20, Iss. 8, pp. 960-973
Closed Access | Times Cited: 32
Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
Angela Cesaro, Samuel C. Hoffman, Payel Das, et al.
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 6
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: 2
Navigating Antibacterial Frontiers: A Panoramic Exploration of Antibacterial Landscapes, Resistance Mechanisms, and Emerging Therapeutic Strategies
Krittika Ralhan, Kavita A. Iyer, Leilani Lotti Díaz, et al.
ACS Infectious Diseases (2024) Vol. 10, Iss. 5, pp. 1483-1519
Open Access | Times Cited: 14
Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties
Marcelo D. T. Torres, Angela Cesaro, César de la Fuente‐Núñez
Trends in biotechnology (2024)
Open Access | Times Cited: 6
Surfactants produced from carbohydrate derivatives: Part 2. A review on the value chain, synthesis, and the potential role of artificial intelligence within the biorefinery concept
Ronald Márquez, Maria Soledad Ortiz, Nelson Barrios, et al.
Journal of Surfactants and Detergents (2024)
Open Access | Times Cited: 5
Generative latent diffusion language modeling yields anti-infective synthetic peptides
Marcelo D. T. Torres, Tianlai Chen, Fangping Wan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Artificial Intuition and accelerating the process of antimicrobial drug discovery
Giovanni Stelitano, C Bettoni, Jacek Marczyk, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109833-109833
Open Access
Advance in peptide-based drug development: delivery platforms, therapeutics and vaccines
Wen‐Jing Xiao, Wenjie Jiang, Zheng Chen, et al.
Signal Transduction and Targeted Therapy (2025) Vol. 10, Iss. 1
Open Access
How AI can help us beat AMR
Autumn Arnold, Stewart McLellan, Jonathan Stokes
npj Antimicrobials and Resistance (2025) Vol. 3, Iss. 1
Open Access
Reviving the past for a healthier future: ancient molecules and remedies as a solution to the antibiotic crisis
Miguel Díaz‐Guerrero, Israel Castillo‐Juárez, Rimma Zurabián, et al.
Future Microbiology (2025), pp. 1-13
Open Access
Frog-derived synthetic peptides display anti-infective activity against Gram-negative pathogens
Lucía Ageitos, Andreia Boaro, Angela Cesaro, et al.
Trends in biotechnology (2025)
Open Access
Deep learning in the discovery of antiviral peptides and peptidomimetics: databases and prediction tools
Maryam Nawaz, Yao Huiyuan, Fahad Akhtar, et al.
Molecular Diversity (2025)
Closed Access
Recombinant production of antimicrobial peptides in plants
Farhad Nazarian‐Firouzabadi, Marcelo D. T. Torres, César de la Fuente‐Núñez
Biotechnology Advances (2023) Vol. 71, pp. 108296-108296
Closed Access | Times Cited: 9
Artificial intelligence for optimizing benefits and minimizing risks of pharmacological therapies: challenges and opportunities
Salvatore Crisafulli, Francesco Ciccimarra, Chiara Bellitto, et al.
Frontiers in Drug Safety and Regulation (2024) Vol. 4
Open Access | Times Cited: 3
Recent Applications of Artificial Intelligence in Discovery of New Antibacterial Agents
Youcef Bagdad, Maria A. Miteva
Advances and Applications in Bioinformatics and Chemistry (2024) Vol. Volume 17, pp. 139-157
Open Access | Times Cited: 1
An explainable deep learning platform for molecular discovery
Felix Wong, Satotaka Omori, Alicia Li, et al.
Nature Protocols (2024)
Closed Access | Times Cited: 1
Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties
Marcelo D. T. Torres, Angela Cesaro, César de la Fuente‐Núñez
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The Structural and Molecular Mechanisms of Mycobacterium tuberculosis Translational Elongation Factor Proteins
Ning Fang, Lingyun Wu, Shuyan Duan, et al.
Molecules (2024) Vol. 29, Iss. 9, pp. 2058-2058
Open Access
Computational Approaches for Antimicrobial Peptide Delivery
Thuanny Borba Rios, Samilla B. Rezende, Mariana Rocha Maximiano, et al.
Bioconjugate Chemistry (2024)
Closed Access
Design of multimodal antibiotics against intracellular infections using deep learning
Angela Cesaro, Fangping Wan, Marcelo D. T. Torres, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
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