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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:

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

Showing 1-25 of 154 citing articles:

The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Alexandre Blanco-González, Alfonso Cabezón, Alejandro Seco-González, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 6, pp. 891-891
Open Access | Times Cited: 307
Origin of Antibiotics and Antibiotic Resistance, and Their Impacts on Drug Development: A Narrative Review
Ghazala Muteeb, Md Tabish Rehman, Moyad Shahwan, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 11, pp. 1615-1615
Open Access | Times Cited: 299
Discovery of a structural class of antibiotics with explainable deep learning
Felix Wong, Erica J. Zheng, Jacqueline A. Valeri, et al.
Nature (2023) Vol. 626, Iss. 7997, pp. 177-185
Open Access | Times Cited: 179
Leveraging artificial intelligence in the fight against infectious diseases
Felix Wong, César de la Fuente‐Núñez, James J. Collins
Science (2023) Vol. 381, Iss. 6654, pp. 164-170
Open Access | Times Cited: 154
dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data
Jhih-Hua Jhong, Lantian Yao, Yuxuan Pang, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D460-D470
Open Access | Times Cited: 117
Application of Artificial Intelligence in Combating High Antimicrobial Resistance Rates
Ali A. Rabaan, Saad Alhumaid, Abbas Al Mutair, et al.
Antibiotics (2022) Vol. 11, Iss. 6, pp. 784-784
Open Access | Times Cited: 85
Bacterial resistance to antibacterial agents: Mechanisms, control strategies, and implications for global health
Ting Li, Zhenlong Wang, Jianhua Guo, et al.
The Science of The Total Environment (2022) Vol. 860, pp. 160461-160461
Open Access | Times Cited: 85
Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation
Tabish Ali, Sarfaraz Ahmed, Muhammad Aslam
Antibiotics (2023) Vol. 12, Iss. 3, pp. 523-523
Open Access | Times Cited: 73
Deep generative models for peptide design
Fangping Wan, Daphne Kontogiorgos-Heintz, César de la Fuente‐Núñez
Digital Discovery (2022) Vol. 1, Iss. 3, pp. 195-208
Open Access | Times Cited: 71
Antimicrobial peptides: An alternative to traditional antibiotics
Shuaiqi Ji, Feiyu An, Tengxue Zhang, et al.
European Journal of Medicinal Chemistry (2023) Vol. 265, pp. 116072-116072
Closed Access | Times Cited: 71
Scientific novelty beyond the experiment
John E. Hallsworth, Zulema Udaondo, Carlos Pedrós‐Alió, et al.
Microbial Biotechnology (2023) Vol. 16, Iss. 6, pp. 1131-1173
Open Access | Times Cited: 60
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
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics
Kyle Swanson, Gary Liu, Denise B. Catacutan, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 338-353
Closed Access | Times Cited: 50
Antimicrobial peptides: Opportunities and challenges in overcoming resistance
Cezara Bucataru, Corina Ciobănaşu
Microbiological Research (2024) Vol. 286, pp. 127822-127822
Open Access | Times Cited: 45
AI is a viable alternative to high throughput screening: a 318-target study
Izhar Wallach, Denzil Bernard, Kong T. Nguyen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 44
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: 40
Tribulations and future opportunities for artificial intelligence in precision medicine
Claudio Carini, Attila A. Seyhan
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 33
An Overview of the Recent Advances in Antimicrobial Resistance
Manuela Oliveira, Wilson Antunes, Salete Mota, et al.
Microorganisms (2024) Vol. 12, Iss. 9, pp. 1920-1920
Open Access | Times Cited: 25
AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery
Yue Xu, Shihao Ma, Haotian Cui, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 24
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 | Times Cited: 5
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: 3
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
Evolutionary investigations of the biosynthetic diversity in the skin microbiome using lsaBGC
Rauf Salamzade, Jonathan Cheong, Shelby Sandstrom, et al.
Microbial Genomics (2023) Vol. 9, Iss. 4
Open Access | Times Cited: 27
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: 27
Artificial intelligence in accelerating vaccine development - current and future perspectives
Rahul Kaushik, Ravi Kant, Myron Christodoulides
Frontiers in Bacteriology (2023) Vol. 2
Open Access | Times Cited: 26
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