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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:

Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning
Jan Wildenhain, Michaela Spitzer, Sonam Dolma, et al.
Cell Systems (2015) Vol. 1, Iss. 6, pp. 383-395
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Machine Learning in Agriculture: A Review
Κωνσταντίνος Λιάκος, Patrizia Busato, Dimitrios Moshou, et al.
Sensors (2018) Vol. 18, Iss. 8, pp. 2674-2674
Open Access | Times Cited: 2194
Drug combinations: a strategy to extend the life of antibiotics in the 21st century
Mike Tyers, Gerard D. Wright
Nature Reviews Microbiology (2019) Vol. 17, Iss. 3, pp. 141-155
Closed Access | Times Cited: 677
Antibiotic Adjuvants: Rescuing Antibiotics from Resistance
Gerard D. Wright
Trends in Microbiology (2016) Vol. 24, Iss. 11, pp. 862-871
Closed Access | Times Cited: 519
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Kristina Preuer, Richard P. Lewis, Sepp Hochreiter, et al.
Bioinformatics (2017) Vol. 34, Iss. 9, pp. 1538-1546
Open Access | Times Cited: 480
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: 379
Species-specific activity of antibacterial drug combinations
Ana Rita Brochado, Anja Telzerow, Jacob Bobonis, et al.
Nature (2018) Vol. 559, Iss. 7713, pp. 259-263
Open Access | Times Cited: 310
Emerging and evolving concepts in gene essentiality
Giulia Rancati, Jason Moffat, Athanasios Typas, et al.
Nature Reviews Genetics (2017) Vol. 19, Iss. 1, pp. 34-49
Closed Access | Times Cited: 260
Antifungal Drugs: The Current Armamentarium and Development of New Agents
Nicole Robbins, Gerard D. Wright, Leah E. Cowen
Microbiology Spectrum (2016) Vol. 4, Iss. 5
Closed Access | Times Cited: 210
Combinatorial strategies for combating invasive fungal infections
Michaela Spitzer, Nicole Robbins, Gerard D. Wright
Virulence (2016) Vol. 8, Iss. 2, pp. 169-185
Open Access | Times Cited: 184
Deep learning identifies synergistic drug combinations for treating COVID-19
Wengong Jin, Jonathan Stokes, Richard T. Eastman, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 39
Open Access | Times Cited: 144
Artificial intelligence for drug discovery: Resources, methods, and applications
Wei Chen, Xuesong Liu, Sanyin Zhang, et al.
Molecular Therapy — Nucleic Acids (2023) Vol. 31, pp. 691-702
Open Access | Times Cited: 127
Machine learning in the prediction of cancer therapy
Raihan Rafique, S. M. Riazul Islam, Julhash U. Kazi
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4003-4017
Open Access | Times Cited: 122
Chemogenomics and orthology‐based design of antibiotic combination therapies
Sriram Chandrasekaran, Melike Cokol‐Cakmak, Nil Özbilüm, et al.
Molecular Systems Biology (2016) Vol. 12, Iss. 5
Open Access | Times Cited: 112
Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects
Heli Julkunen, Anna Cichońska, Prson Gautam, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 104
Antibiotic efficacy — context matters
Jason H. Yang, Sarah C. Bening, James J. Collins
Current Opinion in Microbiology (2017) Vol. 39, pp. 73-80
Open Access | Times Cited: 89
Incorporating Machine Learning into Established Bioinformatics Frameworks
Noam Auslander, Ayal B. Gussow, Eugene V. Koonin
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 6, pp. 2903-2903
Open Access | Times Cited: 87
Machine learning methods, databases and tools for drug combination prediction
Lianlian Wu, Yuqi Wen, Dongjin Leng, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 77
New antifungal strategies: Drug combination and co-delivery
Ping Zhu, Yan Li, Ting Guo, et al.
Advanced Drug Delivery Reviews (2023) Vol. 198, pp. 114874-114874
Closed Access | Times Cited: 29
Confronting antifungal resistance, tolerance, and persistence: Advances in drug target discovery and delivery systems
Lei Chen, Lanyue Zhang, Yuyan Xie, et al.
Advanced Drug Delivery Reviews (2023) Vol. 200, pp. 115007-115007
Closed Access | Times Cited: 26
ARIMA-AdaBoost hybrid approach for product quality prediction in advanced transformer manufacturing
Chun-Hua Chien, Amy J.C. Trappey, Chien-Chih Wang
Advanced Engineering Informatics (2023) Vol. 57, pp. 102055-102055
Closed Access | Times Cited: 24
Piquing artificial intelligence towards drug discovery: Tools, techniques, and applications
Peter Chinedu Agu, Chidiebere Nwiboko Obulose
Drug Development Research (2024) Vol. 85, Iss. 2
Closed Access | Times Cited: 11
A Bayesian active learning platform for scalable combination drug screens
Christopher Tosh, Mauricio Tec, Jessica White, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Antifungal Compounds againstCandidaInfections from Traditional Chinese Medicine
Xin Liu, Zhiming Ma, Jingxiao Zhang, et al.
BioMed Research International (2017) Vol. 2017, pp. 1-12
Open Access | Times Cited: 78
Anticancer drug synergy prediction in understudied tissues using transfer learning
Yejin Kim, Shuyu Zheng, Jing Tang, et al.
Journal of the American Medical Informatics Association (2020) Vol. 28, Iss. 1, pp. 42-51
Open Access | Times Cited: 70
Phytotherapy as an alternative to conventional antimicrobials: combating microbial resistance
Elena Y. Enioutina, Lida Teng, Tatyana V. Fateeva, et al.
Expert Review of Clinical Pharmacology (2017) Vol. 10, Iss. 11, pp. 1203-1214
Closed Access | Times Cited: 68
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