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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:

Discovery of Drug Synergies in Gastric Cancer Cells Predicted by Logical Modeling
Åsmund Flobak, Anaı̈s Baudot, Élisabeth Rémy, et al.
PLoS Computational Biology (2015) Vol. 11, Iss. 8, pp. e1004426-e1004426
Open Access | Times Cited: 119

Showing 1-25 of 119 citing articles:

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Michael P. Menden, Dennis Wang, Mike J. Mason, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 304
Logical Modeling and Dynamical Analysis of Cellular Networks
Wassim Abou-Jaoudé, Pauline Traynard, Pedro T. Monteiro, et al.
Frontiers in Genetics (2016) Vol. 7
Open Access | Times Cited: 219
Concepts in Boolean network modeling: What do they all mean?
Julian Schwab, Silke D. Kühlwein, Nensi Ikonomi, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 571-582
Open Access | Times Cited: 198
Patient-specific Boolean models of signalling networks guide personalised treatments
Arnau Montagud, Jonas Béal, Luis Tobalina, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 74
Drug Resistance Mechanisms in Colorectal Cancer Dissected with Cell Type–Specific Dynamic Logic Models
Federica Eduati, Victoria Doldàn-Martelli, Bertram Klinger, et al.
Cancer Research (2017) Vol. 77, Iss. 12, pp. 3364-3375
Open Access | Times Cited: 105
Network Propagation Predicts Drug Synergy in Cancers
Hongyang Li, Tingyang Li, Daniel Quang, et al.
Cancer Research (2018) Vol. 78, Iss. 18, pp. 5446-5457
Open Access | Times Cited: 99
Logical Modeling and Analysis of Cellular Regulatory Networks With GINsim 3.0
Aurélien Naldi, Celine Hernández, Wassim Abou-Jaoudé, et al.
Frontiers in Physiology (2018) Vol. 9
Open Access | Times Cited: 96
Boolean modelling as a logic-based dynamic approach in systems medicine
Ahmed Abdelmonem Hemedan, Anna Niarakis, Reinhard Schneider, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3161-3172
Open Access | Times Cited: 40
Combined mechanistic modeling and machine-learning approaches in systems biology – A systematic literature review
Anna Procopio, Giuseppe Cesarelli, Leandro Donisi, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107681-107681
Open Access | Times Cited: 32
PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks
Miguel Ponce-de-León, Arnau Montagud, Vincent Noël, et al.
npj Systems Biology and Applications (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 28
Boolean network modeling in systems pharmacology
Peter Bloomingdale, Van Anh Nguyen, Jin Niu, et al.
Journal of Pharmacokinetics and Pharmacodynamics (2018) Vol. 45, Iss. 1, pp. 159-180
Open Access | Times Cited: 76
A network embedding framework based on integrating multiplex network for drug combination prediction
Liang Yu, Mingfei Xia, Qi An
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 51
Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects
Kunjie Fan, Lijun Cheng, Lang Li
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 45
Synthetic Lethality in Cancer Therapeutics
Roderick L. Beijersbergen, Lodewyk F.A. Wessels, René Bernards
Annual Review of Cancer Biology (2016) Vol. 1, Iss. 1, pp. 141-161
Open Access | Times Cited: 49
Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancers
Jonas Béal, Lorenzo Pantolini, Vincent Noël, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 1, pp. e1007900-e1007900
Open Access | Times Cited: 37
CCSynergy: an integrative deep-learning framework enabling context-aware prediction of anti-cancer drug synergy
Sayed‐Rzgar Hosseini, Xiaobo Zhou
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 26
Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches
Anna Niarakis, Marek Ostaszewski, Alexander Mazein, et al.
Frontiers in Immunology (2024) Vol. 14
Open Access | Times Cited: 5
Looking beyond the cancer cell for effective drug combinations
Jonathan R. Dry, Mi Yang, Julio Sáez-Rodríguez
Genome Medicine (2016) Vol. 8, Iss. 1
Open Access | Times Cited: 42
Reconstructing phosphorylation signalling networks from quantitative phosphoproteomic data
Brandon M. Invergo, Pedro Beltrão
Essays in Biochemistry (2018) Vol. 62, Iss. 4, pp. 525-534
Open Access | Times Cited: 42
A high-throughput drug combination screen of targeted small molecule inhibitors in cancer cell lines
Åsmund Flobak, Barbara Niederdorfer, Vu To Nakstad, et al.
Scientific Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 41
Logical model specification aided by model-checking techniques: application to the mammalian cell cycle regulation
Pauline Traynard, Adrien Fauré, François Fages, et al.
Bioinformatics (2016) Vol. 32, Iss. 17, pp. i772-i780
Open Access | Times Cited: 39
High-throughput screening reveals higher synergistic effect of MEK inhibitor combinations in colon cancer spheroids
Evelina Folkesson, Barbara Niederdorfer, Vu To Nakstad, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 37
Boolean dynamic modeling of cancer signaling networks: Prognosis, progression, and therapeutics
Shubhank Sherekar, Ganesh A. Viswanathan
Computational and Systems Oncology (2021) Vol. 1, Iss. 2
Open Access | Times Cited: 29
Network and Systems Medicine: Position Paper of the European Collaboration on Science and Technology Action on Open Multiscale Systems Medicine
Blandine Comte, Jan Baumbach, Arriel Benis, et al.
Network and Systems Medicine (2020) Vol. 3, Iss. 1, pp. 67-90
Open Access | Times Cited: 29
In-silico tool based on Boolean networks and meshless simulations for prediction of reaction and transport mechanisms in the systemic administration of chemotherapeutic drugs
Fabián Mauricio Vélez Salazar, Iván David Patiño Arcila
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0315194-e0315194
Open Access
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