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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:

A Deep Learning Approach to Antibiotic Discovery
Jonathan Stokes, Kevin Yang, Kyle Swanson, et al.
Cell (2020) Vol. 180, Iss. 4, pp. 688-702.e13
Open Access | Times Cited: 1566

Showing 1-25 of 1566 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1539
AI in health and medicine
Pranav Rajpurkar, Emma Chen, Oishi Banerjee, et al.
Nature Medicine (2022) Vol. 28, Iss. 1, pp. 31-38
Closed Access | Times Cited: 1395
A guide to machine learning for biologists
Joe G. Greener, Shaun M. Kandathil, Lewis Moffat, et al.
Nature Reviews Molecular Cell Biology (2021) Vol. 23, Iss. 1, pp. 40-55
Open Access | Times Cited: 1234
The rise of artificial intelligence in healthcare applications
Adam Bohr, Kaveh Memarzadeh
Elsevier eBooks (2020), pp. 25-60
Closed Access | Times Cited: 1027
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 889
Towards the sustainable discovery and development of new antibiotics
Marcus Miethke, Marco Pieroni, Tilmann Weber, et al.
Nature Reviews Chemistry (2021) Vol. 5, Iss. 10, pp. 726-749
Open Access | Times Cited: 811
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 47-60
Closed Access | Times Cited: 702
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 697
Machine Learning: New Ideas and Tools in Environmental Science and Engineering
Shifa Zhong, Kai Zhang, Majid Bagheri, et al.
Environmental Science & Technology (2021)
Closed Access | Times Cited: 652
Antibiotic resistance and persistence—Implications for human health and treatment perspectives
Markus Huemer, Srikanth Mairpady Shambat, Silvio D. Brugger, et al.
EMBO Reports (2020) Vol. 21, Iss. 12
Open Access | Times Cited: 516
Structure-Based Virtual Screening: From Classical to Artificial Intelligence
Eduardo Habib Bechelane Maia, Letícia C. Assis, Tiago Alves de Oliveira, et al.
Frontiers in Chemistry (2020) Vol. 8
Open Access | Times Cited: 455
How Machine Learning Will Transform Biomedicine
Jeremy Goecks, Vahid Jalili, Laura M. Heiser, et al.
Cell (2020) Vol. 181, Iss. 1, pp. 92-101
Open Access | Times Cited: 408
Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment
Hema Sekhar Reddy Rajula, Giuseppe Verlato, Mirko Manchia, et al.
Medicina (2020) Vol. 56, Iss. 9, pp. 455-455
Open Access | Times Cited: 372
The past, present, and future of antibiotics
Michael A. Cook, Gerard D. Wright
Science Translational Medicine (2022) Vol. 14, Iss. 657
Closed Access | Times Cited: 361
DeepPurpose: a deep learning library for drug–target interaction prediction
Kexin Huang, Tianfan Fu, Lucas M. Glass, et al.
Bioinformatics (2020) Vol. 36, Iss. 22-23, pp. 5545-5547
Open Access | Times Cited: 327
Ecology and genomics of Actinobacteria: new concepts for natural product discovery
Doris A. van Bergeijk, Barbara R. Terlouw, Marnix H. Medema, et al.
Nature Reviews Microbiology (2020) Vol. 18, Iss. 10, pp. 546-558
Open Access | Times Cited: 316
Machine Learning Methods in Drug Discovery
Lauv Patel, Tripti Shukla, Xiuzhen Huang, et al.
Molecules (2020) Vol. 25, Iss. 22, pp. 5277-5277
Open Access | Times Cited: 312
A review on machine learning approaches and trends in drug discovery
Paula Carracedo-Reboredo, José Liñares-Blanco, Nereida Rodríguez-Fernández, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4538-4558
Open Access | Times Cited: 312
Identification of antimicrobial peptides from the human gut microbiome using deep learning
Yue Ma, Zhengyan Guo, Binbin Xia, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 6, pp. 921-931
Closed Access | Times Cited: 304
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
Payel Das, Tom Sercu, Kahini Wadhawan, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 613-623
Open Access | Times Cited: 301
Materials design by synthetic biology
Tzu‐Chieh Tang, Bolin An, Yuan‐Yuan Huang, et al.
Nature Reviews Materials (2020) Vol. 6, Iss. 4, pp. 332-350
Closed Access | Times Cited: 284
Plant Natural Flavonoids Against Multidrug Resistant Pathogens
Meirong Song, Ying Liu, Tingting Li, et al.
Advanced Science (2021) Vol. 8, Iss. 15
Open Access | Times Cited: 277
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris, Nils M. Kriege, Franka Bause, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 274
Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions
Sezen Vatansever, Avner Schlessinger, Daniel Wacker, et al.
Medicinal Research Reviews (2020) Vol. 41, Iss. 3, pp. 1427-1473
Open Access | Times Cited: 260
Ethnobotany and the Role of Plant Natural Products in Antibiotic Drug Discovery
Gina Porras, François Chassagne, James T. Lyles, et al.
Chemical Reviews (2020) Vol. 121, Iss. 6, pp. 3495-3560
Open Access | Times Cited: 259
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