David Basanta
Impact in
- Modeling and Simulation top 0.2%
- Mathematical Biology Tumor Growth
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Mathematical Biology Tumor Growth 35
-
- Gene Regulatory Network Analysis 8
- Co-authors
- Alexander R.A. Anderson (21 shared papers)Andreas Deutsch (6 shared papers)Haralampos Hatzikirou (3 shared papers)Matthias Simon (2 shared papers)Jacob G. Scott (12 shared papers)Karl Schaller (1 shared paper)Conor C. Lynch (12 shared papers)Robert A. Gatenby (3 shared papers)
- Journals
- Cancer Research (9 papers)PLoS Computational Biology (4 papers)Nature Ecology & Evolution (3 papers)Molecular BioSystems (2 papers)Frontiers in Ecology and Evolution (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David Basanta
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 133
- Modeling and Simulation 721
- Cancer Research 496
- Cell Biology 275
- Oncology 417
- Genetics 125
Countries citing papers authored by David Basanta
This map shows the geographic impact of David Basanta'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 David Basanta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Basanta more than expected).
Fields of papers citing papers by David Basanta
This network shows the impact of papers produced by David Basanta. 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 David Basanta. The network helps show where David Basanta may publish in the future.
Co-authors
The 25 scholars most cited alongside David Basanta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 259 | |
| 2 | 2012 | 110 | |
| 3 | 2019 | 93 | |
| 4 | 2014 | 86 | |
| 5 | 2008 | 81 | |
| 6 | 2013 | 78 | |
| 7 | 2014 | 67 | |
| 8 | 2014 | 62 | |
| 9 | 2008 | 53 | |
| 10 | 2013 | 51 | |
| 11 | 2020 | 51 | |
| 12 | 2021 | 49 | |
| 13 | 2009 | 46 | |
| 14 | 2023 | 42 | |
| 15 | 2011 | 42 | |
| 16 | 2016 | 42 | |
| 17 | 2017 | 42 | |
| 18 | 2009 | 41 | |
| 19 | 2015 | 40 | |
| 20 | 2013 | 37 |
About David Basanta
David Basanta is a scholar working on Modeling and Simulation, Molecular Biology, Oncology, Cell Biology and Cancer Research, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (35 papers), Cancer Cells and Metastasis (14 papers), Cancer Genomics and Diagnostics (12 papers), Evolution and Genetic Dynamics (10 papers), Microtubule and mitosis dynamics (9 papers), Prostate Cancer Treatment and Research (8 papers), Gene Regulatory Network Analysis (8 papers) and Evolutionary Game Theory and Cooperation (6 papers). The work is most often cited by research in Modeling and Simulation (721 citations), Cancer Research (496 citations), Cell Biology (275 citations), Oncology (417 citations) and Genetics (125 citations). David Basanta has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alexander R.A. Anderson, Andreas Deutsch, Haralampos Hatzikirou, Matthias Simon, Jacob G. Scott, Karl Schaller, Conor C. Lynch, Robert A. Gatenby, Leah M. Cook and Andriy Marusyk. Their work appears in journals such as Cancer Research, PLoS Computational Biology, Nature Ecology & Evolution, Molecular BioSystems and Frontiers in Ecology and Evolution.
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.