Gibin Powathil

1.1k total citations
28 papers, 717 citations indexed

About

Gibin Powathil is a scholar working on Modeling and Simulation, Oncology and Cell Biology. According to data from OpenAlex, Gibin Powathil has authored 28 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Modeling and Simulation, 11 papers in Oncology and 10 papers in Cell Biology. Recurrent topics in Gibin Powathil's work include Mathematical Biology Tumor Growth (15 papers), Cancer Cells and Metastasis (10 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Gibin Powathil is often cited by papers focused on Mathematical Biology Tumor Growth (15 papers), Cancer Cells and Metastasis (10 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Gibin Powathil collaborates with scholars based in United Kingdom, United States and Canada. Gibin Powathil's co-authors include Mark A. J. Chaplain, Mohammad Kohandel, Maciej Swat, S. Sivaloganathan, Michael Milosevic, Douglas Adamson, Amit M. Oza, Perumal Nithiarasu, Sean Lawler and Yangjin Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Gibin Powathil

27 papers receiving 704 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gibin Powathil United Kingdom 15 364 229 193 190 137 28 717
Amanda Tracz United States 10 222 0.6× 283 1.2× 227 1.2× 182 1.0× 66 0.5× 14 679
Ariosto S. Silva United States 12 339 0.9× 479 2.1× 303 1.6× 526 2.8× 60 0.4× 21 1.1k
Sébastien Benzekry France 19 533 1.5× 349 1.5× 545 2.8× 322 1.7× 231 1.7× 57 1.3k
Joseph D. Butner United States 14 335 0.9× 217 0.9× 269 1.4× 142 0.7× 54 0.4× 35 774
Jessica J. Cunningham United States 15 428 1.2× 419 1.8× 227 1.2× 576 3.0× 61 0.4× 31 1.1k
Clare Lamont United States 6 219 0.6× 146 0.6× 146 0.8× 99 0.5× 102 0.7× 8 514
Olivier Saut France 15 162 0.4× 129 0.6× 130 0.7× 87 0.5× 282 2.1× 30 637
Yafei Wang China 13 127 0.3× 264 1.2× 123 0.6× 157 0.8× 31 0.2× 32 586
Hiroshi Haeno Japan 13 142 0.4× 447 2.0× 468 2.4× 310 1.6× 49 0.4× 29 1.0k

Countries citing papers authored by Gibin Powathil

Since Specialization
Citations

This map shows the geographic impact of Gibin Powathil's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gibin Powathil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gibin Powathil more than expected).

Fields of papers citing papers by Gibin Powathil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gibin Powathil. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gibin Powathil. The network helps show where Gibin Powathil may publish in the future.

Co-authorship network of co-authors of Gibin Powathil

This figure shows the co-authorship network connecting the top 25 collaborators of Gibin Powathil. A scholar is included among the top collaborators of Gibin Powathil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gibin Powathil. Gibin Powathil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jones, Rhys D.O., et al.. (2025). Simulations probe the role of space in the interplay between drug-sensitive and drug-resistant cancer cells. Journal of Theoretical Biology. 602-603. 112048–112048. 1 indexed citations
2.
Powathil, Gibin, et al.. (2025). Modelling the Impact of HIF on Metabolism and the Extracellular Matrix: Consequences for Tumour Growth and Invasion. Bulletin of Mathematical Biology. 87(2). 27–27. 1 indexed citations
3.
Williams, Michael E., et al.. (2025). Exploring the role of EMT in ovarian cancer progression using a multiscale mathematical model. npj Systems Biology and Applications. 11(1). 36–36.
4.
Davies, Michael, et al.. (2023). A Mathematical Model to Investigate the Effects of Ceralasertib and Olaparib in Targeting the Cellular DNA Damage Response Pathway. Journal of Pharmacology and Experimental Therapeutics. 387(1). 55–65. 2 indexed citations
5.
Mohammadrezaei, Dorsa, et al.. (2023). Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments. Scientific Reports. 13(1). 1211–1211. 21 indexed citations
6.
Liu, Ruirui, Maciej Swat, James A. Glazier, Gibin Powathil, & Kathryn A. Higley. (2022). Computational Simulation on Radiation-Induced Gastrulation Failure of Chick Embryo. SSRN Electronic Journal. 1 indexed citations
7.
Powathil, Gibin, et al.. (2022). Modeling the role of HIF in the regulation of metabolic key genes LDH and PDH: Emergence of Warburg phenotype. SHILAP Revista de lepidopterología. 2(3). 5 indexed citations
8.
Kohandel, Mohammad, et al.. (2020). Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape. PLoS Computational Biology. 16(8). e1008041–e1008041. 9 indexed citations
9.
Stephanou, Anastasis, et al.. (2020). Hybrid data-based modelling in oncology: successes, challenges and hopes. Mathematical Modelling of Natural Phenomena. 15. 21–21. 7 indexed citations
10.
Powathil, Gibin, et al.. (2019). Role of hypoxia-activated prodrugs in combination with radiation therapy: An <i>in silico</i> approach. Mathematical Biosciences & Engineering. 16(6). 6257–6273. 8 indexed citations
11.
Powathil, Gibin, et al.. (2019). Blackboard to Bedside: A Mathematical Modeling Bottom-Up Approach Toward Personalized Cancer Treatments. JCO Clinical Cancer Informatics. 3(3). 1–11. 32 indexed citations
12.
Mothersill, Carmel, Michael Abend, François Bréchignac, et al.. (2018). When a duck is not a duck; a new interdisciplinary synthesis for environmental radiation protection. Environmental Research. 162. 318–324. 14 indexed citations
13.
Nithiarasu, Perumal, et al.. (2018). What does not kill a tumour may make it stronger: In silico insights into chemotherapeutic drug resistance. Journal of Theoretical Biology. 454. 253–267. 36 indexed citations
14.
Borasi, Giovanni, Alan E. Nahum, Margarethus M. Paulides, et al.. (2016). Fast and high temperature hyperthermia coupled with radiotherapy as a possible new treatment for glioblastoma. Journal of Therapeutic Ultrasound. 4(1). 32–32. 15 indexed citations
15.
Powathil, Gibin, Alastair J. Munro, Mark A. J. Chaplain, & Maciej Swat. (2016). Bystander effects and their implications for clinical radiation therapy: Insights from multiscale in silico experiments. Journal of Theoretical Biology. 401. 1–14. 41 indexed citations
16.
Kim, Yangjin, Gibin Powathil, Dumitru Trucu, et al.. (2015). Strategies of Eradicating Glioma Cells: A Multi-Scale Mathematical Model with MiR-451-AMPK-mTOR Control. PLoS ONE. 10(1). e0114370–e0114370. 42 indexed citations
17.
Powathil, Gibin, Maciej Swat, & Mark A. J. Chaplain. (2014). Systems oncology: Towards patient-specific treatment regimes informed by multiscale mathematical modelling. Seminars in Cancer Biology. 30. 13–20. 53 indexed citations
18.
Powathil, Gibin, Mohammad Kohandel, Michael Milosevic, & S. Sivaloganathan. (2012). Modeling the Spatial Distribution of Chronic Tumor Hypoxia: Implications for Experimental and Clinical Studies. Computational and Mathematical Methods in Medicine. 2012. 1–11. 41 indexed citations
19.
20.
Powathil, Gibin, Mohammad Kohandel, S. Sivaloganathan, Amit M. Oza, & Michael Milosevic. (2007). Mathematical modeling of brain tumors: effects of radiotherapy and chemotherapy. Physics in Medicine and Biology. 52(11). 3291–3306. 100 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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