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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:

Antibiotic discovery in the artificial intelligence era
Telmah Lluka, Jonathan Stokes
Annals of the New York Academy of Sciences (2022) Vol. 1519, Iss. 1, pp. 74-93
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii
Gary Liu, Denise B. Catacutan, Khushi Rathod, et al.
Nature Chemical Biology (2023) Vol. 19, Iss. 11, pp. 1342-1350
Closed Access | Times Cited: 188
Antimicrobial resistance crisis: could artificial intelligence be the solution?
Guangyu Liu, Dan Yu, Mei-Mei Fan, et al.
Military Medical Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 43
Implications of Artificial Intelligence in Addressing Antimicrobial Resistance: Innovations, Global Challenges, and Healthcare’s Future
Francesco Branda, Fabio Scarpa
Antibiotics (2024) Vol. 13, Iss. 6, pp. 502-502
Open Access | Times Cited: 21
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 18
Unrealized targets in the discovery of antibiotics for Gram-negative bacterial infections
Ursula Theuretzbacher, Benjamin Blasco, Maëlle Duffey, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 12, pp. 957-975
Closed Access | Times Cited: 43
Interdisciplinary‐Inspired Smart Antibacterial Materials and Their Biomedical Applications
Yuzheng Wu, Pei Liu, Babak Mehrjou, et al.
Advanced Materials (2023) Vol. 36, Iss. 17
Closed Access | Times Cited: 39
Artificial Intelligence in Drug Discovery and Development Against Antimicrobial Resistance: A Narrative Review
Mustafa Ghaderzadeh, Armin Shalchian, Gholamreza Irajian, et al.
Iranian Journal of Medical Microbiology (2024) Vol. 18, Iss. 3, pp. 135-147
Open Access | Times Cited: 9
The Future of AI in Education: 13 Things We Can Do to Minimize the Damage
Arran Hamilton, Dylan Wiliam, John Hattie
(2023)
Open Access | Times Cited: 17
Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects
Yan Li, Xiaoyan Cui, Xiaoyan Yang, et al.
Frontiers in Cellular and Infection Microbiology (2024) Vol. 14
Open Access | Times Cited: 7
Gallium-enabled bactericidal medicine
Yong Liu, Fei Yang, Zixin Pan, et al.
Materials Today (2023) Vol. 67, pp. 548-565
Closed Access | Times Cited: 13
Identification of 6,8-Ditrifluoromethyl Halogenated Phenazine as a Potent Bacterial Biofilm-Eradicating Agent
Qiwen Gao, Hongfen Yang, Jeremy Sheiber, et al.
Organic & Biomolecular Chemistry (2025)
Open Access
Production of bacteriocins by AI: As food preservative
Mudasir Rashid, Amzad Basha Kolar, S. I. Beema Jainab, et al.
Methods in microbiology (2025)
Closed Access
Ein Ausblick in die Zukunft der onkologisch-rekonstruktiven Mund‑, Kiefer- und Gesichtschirurgie: Mensch oder Maschine?
Behrus Puladi, Rainer Röhrig, Frank Hölzle
Die MKG-Chirurgie (2025)
Open Access
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
A Review of In Silico and In Vitro Approaches in the Fight Against Carbapenem‐Resistant Enterobacterales
Muhammad Absar, Abdul Rahman Zaidah, Amer Mahmood, et al.
Journal of Clinical Laboratory Analysis (2025)
Open Access
Novel Antibacterial Approaches and Therapeutic Strategies
Gustavo A. Niño‐Vega, Jorge A. Ortiz-Ramírez, Everardo López-Romero
Antibiotics (2025) Vol. 14, Iss. 4, pp. 404-404
Open Access
The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities – a scoping review
Syed Ali Hussain, Mary Bresnahan, Jie Zhang
Ethnicity and Health (2024), pp. 1-18
Closed Access | Times Cited: 3
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 | Times Cited: 2
A New Insight into Phage Combination Therapeutic Approaches Against Drug-Resistant Mixed Bacterial Infections
Mohammadreza Rahimian, Davoud Jafari-Gharabaghlou, Elham Mohammadi, et al.
PHAGE (2024) Vol. 5, Iss. 4, pp. 203-222
Closed Access | Times Cited: 2
Transfer learning predicts species-specific drug interactions in emerging pathogens
Carolina H. Chung, David C. Chang, Nicole Rhoads, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Sensing of Antibiotic–Bacteria Interactions
Anna A. Baranova, Anton P. Tyurin, Vladimir A. Korshun, et al.
Antibiotics (2023) Vol. 12, Iss. 8, pp. 1340-1340
Open Access | Times Cited: 5
Impact of specific serotonin receptor modulation on restricted repetitive behaviors
Bryan D. Alvarez, Cassandra Cavazos, Cheyenne A. Morales, et al.
Frontiers in Behavioral Neuroscience (2022) Vol. 16
Open Access | Times Cited: 9
Synthetic peptides as valuable and versatile tools for research: our 20 year journey in Chile
Constanza Cárdenas, Paula Santana, Claudio A. Álvarez, et al.
(2024) Vol. 2, Iss. 6, pp. 701-718
Open Access | Times Cited: 1
Detection of multidrug-resistant pathogens as a risk for patients in healthcare settings
Daniele Pantano, Alexander W. Friedrich
Current Opinion in Epidemiology and Public Health (2023) Vol. 2, Iss. 2, pp. 18-24
Open Access | Times Cited: 1
Discovery of antimicrobial peptides targeting Acinetobacter baumannii via a pre-trained and fine-tuned few-shot learning-based pipeline
Jian Ji, Junjie Huang, Wentao Zhang, et al.
Research Square (Research Square) (2024)
Open Access
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