Robert A. Gatenby

38.7k total citations · 12 hit papers
337 papers, 26.9k citations indexed

About

Robert A. Gatenby is a scholar working on Cancer Research, Molecular Biology and Modeling and Simulation. According to data from OpenAlex, Robert A. Gatenby has authored 337 papers receiving a total of 26.9k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Cancer Research, 102 papers in Molecular Biology and 91 papers in Modeling and Simulation. Recurrent topics in Robert A. Gatenby's work include Mathematical Biology Tumor Growth (91 papers), Cancer Genomics and Diagnostics (89 papers) and Cancer, Hypoxia, and Metabolism (66 papers). Robert A. Gatenby is often cited by papers focused on Mathematical Biology Tumor Growth (91 papers), Cancer Genomics and Diagnostics (89 papers) and Cancer, Hypoxia, and Metabolism (66 papers). Robert A. Gatenby collaborates with scholars based in United States, United Kingdom and France. Robert A. Gatenby's co-authors include Robert J. Gillies, E. T. Gawlinski, Joel S. Brown, B. Roy Frieden, Joel S. Brown, Yoganand Balagurunathan, Alexander R.A. Anderson, Dmitry B. Goldgof, Lawrence Hall and William S. Dalton and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert A. Gatenby

325 papers receiving 26.4k citations

Hit Papers

Why do cancers have high aerobic glycolysis? 1988 2026 2000 2013 2004 2012 2013 1988 2009 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert A. Gatenby United States 75 11.1k 10.2k 5.7k 5.2k 4.2k 337 26.9k
Timothy F. Cloughesy United States 91 10.9k 1.0× 7.8k 0.8× 8.2k 1.4× 6.3k 1.2× 762 0.2× 557 33.6k
Charles Swanton United Kingdom 79 13.0k 1.2× 12.7k 1.2× 3.2k 0.6× 12.8k 2.5× 687 0.2× 325 30.6k
Mark W. Dewhirst United States 105 18.2k 1.6× 13.7k 1.3× 8.9k 1.6× 8.7k 1.7× 665 0.2× 627 48.6k
J. Gregory Cairncross Canada 60 12.5k 1.1× 8.4k 0.8× 5.9k 1.0× 5.9k 1.1× 475 0.1× 169 36.1k
Roger Stupp Switzerland 85 15.7k 1.4× 10.7k 1.0× 8.2k 1.5× 9.5k 1.8× 671 0.2× 376 49.8k
Peter Vaupel Germany 68 10.0k 0.9× 13.6k 1.3× 6.0k 1.1× 4.8k 0.9× 403 0.1× 393 28.2k
Robert J. Gillies United States 108 15.6k 1.4× 11.5k 1.1× 28.0k 4.9× 8.9k 1.7× 1.6k 0.4× 515 57.0k
Martin J. van den Bent Netherlands 92 12.7k 1.1× 9.9k 1.0× 10.3k 1.8× 8.1k 1.6× 595 0.1× 579 51.0k
Patrick Y. Wen United States 102 12.3k 1.1× 8.0k 0.8× 7.3k 1.3× 9.9k 1.9× 505 0.1× 781 43.2k
Douglas A. Lauffenburger United States 98 19.9k 1.8× 2.6k 0.3× 2.7k 0.5× 6.1k 1.2× 1.9k 0.4× 561 39.2k

Countries citing papers authored by Robert A. Gatenby

Since Specialization
Citations

This map shows the geographic impact of Robert A. Gatenby'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 Robert A. Gatenby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Gatenby more than expected).

Fields of papers citing papers by Robert A. Gatenby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Gatenby. 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 Robert A. Gatenby. The network helps show where Robert A. Gatenby may publish in the future.

Co-authorship network of co-authors of Robert A. Gatenby

This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. Gatenby. A scholar is included among the top collaborators of Robert A. Gatenby 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 Robert A. Gatenby. Robert A. Gatenby 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.
Whelan, Christopher J., et al.. (2025). The Hallmarks of Cancer as Eco-Evolutionary Processes. Cancer Discovery. 15(4). 685–701. 2 indexed citations
2.
3.
Hammarlund, Emma U., Nicole R. Posth, Sarah R. Amend, et al.. (2025). Benthic diel oxygen variability and stress as potential drivers for animal diversification in the Neoproterozoic-Palaeozoic. Nature Communications. 16(1). 2223–2223.
4.
Prabhakaran, Sandhya, Chandler Gatenbee, Mark Robertson‐Tessi, et al.. (2022). Mistic: An open-source multiplexed image t-SNE viewer. Patterns. 3(7). 100523–100523.
5.
Saberi, Abbas Ali, et al.. (2021). Superlinear growth reveals the Allee effect in tumors. Physical review. E. 103(4). 42405–42405. 7 indexed citations
6.
Capp, Jean‐Pascal, James DeGregori, Aurora M. Nedelcu, et al.. (2021). Group phenotypic composition in cancer. eLife. 10. 24 indexed citations
7.
Damaghi, Mehdi, Jeffrey West, Mark Robertson‐Tessi, et al.. (2021). The harsh microenvironment in early breast cancer selects for a Warburg phenotype. Proceedings of the National Academy of Sciences. 118(3). 91 indexed citations
8.
West, Jeffrey, You Li, Jingsong Zhang, et al.. (2020). Towards Multidrug Adaptive Therapy. Cancer Research. 80(7). 1578–1589. 122 indexed citations
9.
Gatenby, Robert A. & Joel S. Brown. (2020). Integrating evolutionary dynamics into cancer therapy. Nature Reviews Clinical Oncology. 17(11). 675–686. 134 indexed citations
10.
Robertson‐Tessi, Mark, Kimberly A. Luddy, Philip K. Maini, et al.. (2019). The Goldilocks Window of Personalized Chemotherapy: Getting the Immune Response Just Right. Cancer Research. 79(20). 5302–5315. 27 indexed citations
11.
West, Jeffrey, et al.. (2019). Multidrug Cancer Therapy in Metastatic Castrate-Resistant Prostate Cancer: An Evolution-Based Strategy. Clinical Cancer Research. 25(14). 4413–4421. 65 indexed citations
12.
Gallaher, Jill, Pedro M. Enríquez‐Navas, Kimberly A. Luddy, Robert A. Gatenby, & Alexander R.A. Anderson. (2018). Spatial Heterogeneity and Evolutionary Dynamics Modulate Time to Recurrence in Continuous and Adaptive Cancer Therapies. Cancer Research. 78(8). 2127–2139. 156 indexed citations
13.
Ibrahim‐Hashim, Arig, Mark Robertson‐Tessi, Pedro M. Enríquez‐Navas, et al.. (2017). Defining Cancer Subpopulations by Adaptive Strategies Rather Than Molecular Properties Provides Novel Insights into Intratumoral Evolution. Cancer Research. 77(9). 2242–2254. 89 indexed citations
14.
Robertson‐Tessi, Mark, Robert J. Gillies, Robert A. Gatenby, & Alexander R.A. Anderson. (2015). Impact of Metabolic Heterogeneity on Tumor Growth, Invasion, and Treatment Outcomes. Cancer Research. 75(8). 1567–1579. 211 indexed citations
15.
Estrella, Verónica, Tingan Chen, Mark C. Lloyd, et al.. (2013). Acidity Generated by the Tumor Microenvironment Drives Local Invasion. Cancer Research. 73(5). 1524–1535. 1065 indexed citations breakdown →
16.
Silva, Ariosto S., et al.. (2012). Evolutionary Approaches to Prolong Progression-Free Survival in Breast Cancer. Cancer Research. 72(24). 6362–6370. 111 indexed citations
17.
Lee, Hyung‐Ok, Ariosto S. Silva, Yuesheng Li, et al.. (2011). Evolution of Tumor Invasiveness: The Adaptive Tumor Microenvironment Landscape Model. Cancer Research. 71(20). 6327–6337. 28 indexed citations
18.
Gatenby, Robert A., Ariosto S. Silva, Robert J. Gillies, & B. Roy Frieden. (2009). Adaptive Therapy. Cancer Research. 69(11). 4894–4903. 557 indexed citations breakdown →
19.
Silva, Ariosto S., José Andrés Yunes, Robert J. Gillies, & Robert A. Gatenby. (2009). The Potential Role of Systemic Buffers in Reducing Intratumoral Extracellular pH and Acid-Mediated Invasion. Cancer Research. 69(6). 2677–2684. 171 indexed citations
20.
Frieboes, Hermann B., Mary E. Edgerton, John P. Fruehauf, et al.. (2009). Prediction of Drug Response in Breast Cancer Using Integrative Experimental/Computational Modeling. Cancer Research. 69(10). 4484–4492. 106 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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