David Basanta

3.0k total citations
68 papers, 1.8k citations indexed

About

David Basanta is a scholar working on Modeling and Simulation, Molecular Biology and Oncology. According to data from OpenAlex, David Basanta has authored 68 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Modeling and Simulation, 20 papers in Molecular Biology and 20 papers in Oncology. Recurrent topics in David Basanta's work include Mathematical Biology Tumor Growth (35 papers), Cancer Cells and Metastasis (15 papers) and Cancer Genomics and Diagnostics (14 papers). David Basanta is often cited by papers focused on Mathematical Biology Tumor Growth (35 papers), Cancer Cells and Metastasis (15 papers) and Cancer Genomics and Diagnostics (14 papers). David Basanta collaborates with scholars based in United States, United Kingdom and Germany. David Basanta's co-authors include Alexander R.A. Anderson, Andreas Deutsch, Haralampos Hatzikirou, Matthias Simon, Jacob G. Scott, Karl Schaller, Conor C. Lynch, Robert A. Gatenby, Andriy Marusyk and Leah M. Cook and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

David Basanta

65 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Basanta United States 26 731 659 542 463 364 68 1.8k
Philipp M. Altrock United States 19 432 0.6× 668 1.0× 513 0.9× 488 1.1× 598 1.6× 42 2.0k
Philip Gerlee Sweden 19 696 1.0× 501 0.8× 238 0.4× 337 0.7× 197 0.5× 57 1.3k
Benjamin Werner United Kingdom 19 269 0.4× 601 0.9× 727 1.3× 329 0.7× 357 1.0× 43 1.3k
Jessica J. Cunningham United States 15 428 0.6× 419 0.6× 576 1.1× 227 0.5× 285 0.8× 31 1.1k
Jacob G. Scott United States 31 399 0.5× 722 1.1× 704 1.3× 654 1.4× 388 1.1× 138 2.8k
Amy Brock United States 23 345 0.5× 1.4k 2.1× 511 0.9× 502 1.1× 162 0.4× 49 2.7k
Anna Marciniak‐Czochra Germany 29 716 1.0× 870 1.3× 210 0.4× 341 0.7× 193 0.5× 105 2.4k
Katarzyna A. Rejniak United States 24 936 1.3× 588 0.9× 325 0.6× 726 1.6× 89 0.2× 52 2.0k
Russell C. Rockne United States 29 1.0k 1.4× 686 1.0× 592 1.1× 632 1.4× 115 0.3× 97 2.9k
Andrea Sottoriva United Kingdom 30 606 0.8× 2.5k 3.7× 2.9k 5.3× 1.6k 3.4× 814 2.2× 51 5.1k

Countries citing papers authored by David Basanta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Basanta

This figure shows the co-authorship network connecting the top 25 collaborators of David Basanta. A scholar is included among the top collaborators of David Basanta 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 David Basanta. David Basanta 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.
Basanta, David, et al.. (2024). A seven‐step guide to spatial, agent‐based modelling of tumour evolution. Evolutionary Applications. 17(5). e13687–e13687.
2.
Lo, Chen Hao, et al.. (2021). Computational modeling reveals a key role for polarized myeloid cells in controlling osteoclast activity during bone injury repair. Scientific Reports. 11(1). 6055–6055. 7 indexed citations
3.
Brown, Joel S., et al.. (2020). What Is the Storage Effect, Why Should It Occur in Cancers, and How Can It Inform Cancer Therapy?. Cancer Control. 27(3). 1148377232–1148377232. 4 indexed citations
4.
Basanta, David, Omar E. Franco, Yan Gao, et al.. (2020). Stromal reactivity differentially drives tumour cell evolution and prostate cancer progression. Nature Ecology & Evolution. 4(6). 870–884. 33 indexed citations
5.
Bravo, Rafael, Jeffrey West, Ryan O. Schenck, et al.. (2020). Hybrid Automata Library: A flexible platform for hybrid modeling with real-time visualization. PLoS Computational Biology. 16(3). e1007635–e1007635. 50 indexed citations
6.
Manshaei, Mohammad Hossein, et al.. (2017). Evolutionary emergence of angiogenesis in avascular tumors using a spatial public goods game. PLoS ONE. 12(4). e0175063–e0175063. 6 indexed citations
7.
Kaznatcheev, Artem, Jacob G. Scott, & David Basanta. (2015). Edge effects in game-theoretic dynamics of spatially structured tumours. Journal of The Royal Society Interface. 12(108). 20150154–20150154. 20 indexed citations
8.
Cook, Leah M., et al.. (2014). An Integrated Computational Model of the Bone Microenvironment in Bone-Metastatic Prostate Cancer. Cancer Research. 74(9). 2391–2401. 63 indexed citations
9.
Bohl, Katrin, Sarah Werner, David Basanta, et al.. (2014). Evolutionary game theory: molecules as players. Molecular BioSystems. 10(12). 3066–3074. 32 indexed citations
10.
Bohl, Katrin, David Basanta, Andreas Deutsch, et al.. (2014). Evolutionary game theory: cells as players. Molecular BioSystems. 10(12). 3044–3065. 84 indexed citations
11.
Baldock, Anne, Kevin Yagle, Donald E. Born, et al.. (2014). Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status. Neuro-Oncology. 16(6). 779–786. 62 indexed citations
12.
Kim, Eunjung, Vito W. Rebecca, Inna V. Fedorenko, et al.. (2013). Senescent Fibroblasts in Melanoma Initiation and Progression: An Integrated Theoretical, Experimental, and Clinical Approach. Cancer Research. 73(23). 6874–6885. 51 indexed citations
13.
Anderson, Alexander R.A., et al.. (2010). Evolution, regulation and disruption of homeostasis and its role in carcinogenesis. Europe PMC (PubMed Central). 1–30. 3 indexed citations
14.
Strand, Douglas W., Omar E. Franco, David Basanta, Alexander R.A. Anderson, & Simon W. Hayward. (2010). Perspectives on Tissue Interactions in Development and Disease. Current Molecular Medicine. 10(1). 95–112. 26 indexed citations
15.
Hatzikirou, Haralampos, David Basanta, Matthias Simon, Karl Schaller, & Andreas Deutsch. (2010). 'Go or Grow': the key to the emergence of invasion in tumour progression?. Mathematical Medicine and Biology A Journal of the IMA. 29(1). 49–65. 255 indexed citations
16.
Basanta, David, Benjamin Ribba, Emmanuel Watkin, Benoît You, & Andreas Deutsch. (2010). Computational analysis of the influence of the microenvironment on carcinogenesis. Mathematical Biosciences. 229(1). 22–29. 13 indexed citations
17.
Basanta, David, Douglas W. Strand, Omar E. Franco, et al.. (2009). The Role of Transforming Growth Factor-β–Mediated Tumor-Stroma Interactions in Prostate Cancer Progression: An Integrative Approach. Cancer Research. 69(17). 7111–7120. 41 indexed citations
18.
Anderson, Alexander R.A., Mohamed Hassanein, Kevin M. Branch, et al.. (2009). Microenvironmental Independence Associated with Tumor Progression. Cancer Research. 69(22). 8797–8806. 46 indexed citations
19.
Basanta, David, Matthias Simon, Haralampos Hatzikirou, & Andreas Deutsch. (2008). Evolutionary game theory elucidates the role of glycolysis in glioma progression and invasion. Cell Proliferation. 41(6). 980–987. 81 indexed citations
20.
Basanta, David, Mark Miodownik, Elizabeth A. Holm, & Peter J. Bentley. (2005). Evolving 3D Microstructures from 2D Micrographs using a Genetic Algorithm. Research Portal (King's College London). 1643–1652. 1 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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