Gency Gunasingh
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
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- Gene Regulatory Network Analysis 6
- Melanoma and MAPK Pathways 2
- Single-cell and spatial transcriptomics 2
-
- Mathematical Biology Tumor Growth 8
- Co-authors
- Kavitha Sankaranarayanan (1 shared paper)Kotturathu Mammen Cherian (1 shared paper)Nikolas K. Haass (12 shared papers)Matthew J. Simpson (9 shared papers)Sean T. Vittadello (5 shared papers)Scott W. McCue (4 shared papers)Ryan J. Murphy (4 shared papers)Alexander P. Browning (3 shared papers)
- Journals
- Biophysical Journal (3 papers)Journal of The Royal Society Interface (2 papers)Cell Death and Disease (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)Bulletin of Mathematical Biology (1 paper)
- Partner nations
- AustraliaUnited KingdomNew Zealand
In The Last Decade
Gency Gunasingh
14 papers receiving 486 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 73
- Genetics 104
- Urology 37
- Oncology 118
- Biophysics 24
Countries citing papers authored by Gency Gunasingh
This map shows the geographic impact of Gency Gunasingh'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 Gency Gunasingh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gency Gunasingh more than expected).
Fields of papers citing papers by Gency Gunasingh
This network shows the impact of papers produced by Gency Gunasingh. 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 Gency Gunasingh. The network helps show where Gency Gunasingh may publish in the future.
Co-authors
The 25 scholars most cited alongside Gency Gunasingh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 164 | |
| 2 | 2019 | 146 | |
| 3 | 2018 | 42 | |
| 4 | 2022 | 24 | |
| 5 | 2019 | 20 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 1 | |
| 14 | 2023 | 1 |
About Gency Gunasingh
Gency Gunasingh is a scholar working on Molecular Biology, Modeling and Simulation, Oncology, Biophysics and Biomedical Engineering, having authored 14 papers that have together received 491 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (8 papers), Cancer Cells and Metastasis (7 papers), Gene Regulatory Network Analysis (6 papers), Cell Image Analysis Techniques (3 papers), Melanoma and MAPK Pathways (2 papers), Single-cell and spatial transcriptomics (2 papers), 3D Printing in Biomedical Research (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Modeling and Simulation (73 citations), Genetics (104 citations), Urology (37 citations), Oncology (118 citations) and Biophysics (24 citations). Gency Gunasingh has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Kavitha Sankaranarayanan, Kotturathu Mammen Cherian, Nikolas K. Haass, Matthew J. Simpson, Sean T. Vittadello, Scott W. McCue, Ryan J. Murphy, Alexander P. Browning, Leona Rohrbeck and Thomas John. Their work appears in journals such as Biophysical Journal, Journal of The Royal Society Interface, Cell Death and Disease, Physica A Statistical Mechanics and its Applications and Bulletin of Mathematical Biology.
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.