Dilan Pathirana
Impact in
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- Mathematical Biology Tumor Growth
Papers in
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- Gene Regulatory Network Analysis 6
- Microbial Metabolic Engineering and Bioproduction 2
- Protein Structure and Dynamics 2
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- Aortic Disease and Treatment Approaches 2
- Aortic aneurysm repair treatments 1
- Co-authors
- Jan Hasenauer (8 shared papers)Fabian Fröhlich (3 shared papers)Alejandro F. Villaverde (1 shared paper)Julio R. Banga (1 shared paper)Leonard Schmiester (2 shared papers)Paul Stapor (3 shared papers)Simon Merkt (2 shared papers)Daniel Weindl (4 shared papers)
- Journals
- Computer Methods in Biomechanics & Biomedical Engineering (2 papers)Scientific Reports (1 paper)PLoS Computational Biology (1 paper)Nature Communications (1 paper)Bioinformatics (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Dilan Pathirana
11 papers receiving 120 citations
Peers
Comparison fields: 5 of 66
- Modeling and Simulation 10
- Biophysics 7
- Statistics, Probability and Uncertainty 7
- Internal Medicine 3
- Molecular Biology 54
Countries citing papers authored by Dilan Pathirana
This map shows the geographic impact of Dilan Pathirana'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 Dilan Pathirana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilan Pathirana more than expected).
Fields of papers citing papers by Dilan Pathirana
This network shows the impact of papers produced by Dilan Pathirana. 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 Dilan Pathirana. The network helps show where Dilan Pathirana may publish in the future.
Co-authors
The 25 scholars most cited alongside Dilan Pathirana, 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 | 2021 | 42 | |
| 2 | 2019 | 23 | |
| 3 | 2023 | 21 | |
| 4 | 2022 | 19 | |
| 5 | 2023 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2017 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2016 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2024 | 0 |
About Dilan Pathirana
Dilan Pathirana is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Statistical and Nonlinear Physics, Epidemiology and Numerical Analysis, having authored 12 papers that have together received 123 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Congenital Heart Disease Studies (3 papers), Model Reduction and Neural Networks (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein Structure and Dynamics (2 papers), Aortic Disease and Treatment Approaches (2 papers), Numerical methods for differential equations (1 paper) and Aortic aneurysm repair treatments (1 paper). The work is most often cited by research in Modeling and Simulation (10 citations), Biophysics (7 citations), Statistics, Probability and Uncertainty (7 citations), Internal Medicine (3 citations) and Molecular Biology (54 citations). Dilan Pathirana has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Jan Hasenauer, Fabian Fröhlich, Alejandro F. Villaverde, Julio R. Banga, Leonard Schmiester, Paul Stapor, Simon Merkt, Daniel Weindl, Glen M. Boyle and Jonathan Ellis. Their work appears in journals such as Computer Methods in Biomechanics & Biomedical Engineering, Scientific Reports, PLoS Computational Biology, Nature Communications and Bioinformatics.
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.