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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:

Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality
Salvatore Benfatto, Özdemirhan Serçin, Francesca R. Dejure, et al.
Molecular Cancer (2021) Vol. 20, Iss. 1
Open Access | Times Cited: 20

Showing 20 citing articles:

Therapeutic Strategies for Targeting CDKN2A Loss in Melanoma
Inger Z. M. Kreuger, Roderick C. Slieker, Tim van Groningen, et al.
Journal of Investigative Dermatology (2022) Vol. 143, Iss. 1, pp. 18-25.e1
Open Access | Times Cited: 40
Targeting the Ubiquitin–Proteasome System and Recent Advances in Cancer Therapy
Daniela Spano, Giuliana Catara
Cells (2023) Vol. 13, Iss. 1, pp. 29-29
Open Access | Times Cited: 25
Computational methods, databases and tools for synthetic lethality prediction
Jing Wang, Qinglong Zhang, Junshan Han, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 29
Benchmarking machine learning methods for synthetic lethality prediction in cancer
Yimiao Feng, Yahui Long, He Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics
Salvatore Benfatto, Martin Sill, David Jones, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Struct2SL: Synthetic lethality prediction based on AlphaFold2 structure information and Multilayer Perceptron
Yurui Huang, M. Yuan, Y. G. Li, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access
SLAYER: a computational framework for identifying synthetic lethal interactions through integrated analysis of cancer dependencies
Ziv Cohen, Ekaterina Petrenko, Alma Sophia Barisaac, et al.
NAR Genomics and Bioinformatics (2025) Vol. 7, Iss. 2
Open Access
ALDH2 mutations and defense against genotoxic aldehydes in cancer and inherited bone marrow failure syndromes
Anthony Yiu-Ho Woo, Lina Jia
Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis (2024) Vol. 829, pp. 111870-111870
Closed Access | Times Cited: 2
Topology-regulated nanocatalysts for ferroptosis-mediated cancer phototherapy
Guobo Chen, Liping Gu, Yongtian Liu, et al.
Journal of Colloid and Interface Science (2023) Vol. 656, pp. 320-331
Closed Access | Times Cited: 5
Methylation synthetic lethality: Exploiting selective drug targets for cancer therapy
B. Hilda Ye, Di‐Fei Li, Xinyun Li, et al.
Cancer Letters (2024) Vol. 597, pp. 217010-217010
Closed Access | Times Cited: 1
GRETTA: an R package for mapping in silico genetic interaction and essentiality networks
Yuka Takemon, Marco A. Marra
Bioinformatics (2023)
Open Access | Times Cited: 3
Exploring the DNA damage response pathway for synthetic lethality
Xin Xu, Somaira Nowsheen, Min Deng
Genome Instability & Disease (2022) Vol. 4, Iss. 2, pp. 98-120
Closed Access | Times Cited: 4
The role of drug-metabolizing enzymes in synthetic lethality of cancer
Zekun Zeng, Wenfang Zheng, Peng Hou
Pharmacology & Therapeutics (2022) Vol. 240, pp. 108219-108219
Closed Access | Times Cited: 3
Benchmarking Machine Learning Methods for Synthetic Lethality Prediction in Cancer
Jie Zheng, Yimiao Feng, Yahui Long, et al.
Research Square (Research Square) (2024)
Open Access
SLAYER: Synthetic Lethality Analysis for Enhanced Targeted Therapy Implicates AhR inhibitor as a Target in RB1-Mutant Bladder Tumors
Ziv Cohen, Ekaterina Petrenko, Alma Sophia Barisaac, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network
Anubha Dey, Suresh B. Mudunuri, Manjari Kiran
PLoS Computational Biology (2024) Vol. 20, Iss. 8, pp. e1012336-e1012336
Open Access
Graph based recurrent network for context specific synthetic lethality prediction
Yuyang Jiang, Jing Wang, Yixin Zhang, et al.
Science China Life Sciences (2024)
Closed Access
GRETA: an R package for mapping in silico genetic interaction and essentiality networks
Yuka Takemon, Marco A. Marra
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Benchmarking Machine Learning Methods for Synthetic Lethality Prediction in Cancer
Yimiao Feng, Yahui Long, He Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Synthetic Lethality Screening with Recursive Feature Machines
Cathy Cai, Adityanarayanan Radhakrishnan, Caroline Uhler
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Network targeting combination therapy (NTCT) of synthetic lethal (SL) vulnerabilities in 9p21 deficient glioblastoma (GBM): a case report
Michael Castro, Kristin Dittmar
Neuro-Oncology Advances (2023)
Open Access
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