Joel S. Brown
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth 30
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 43
- Cancer, Hypoxia, and Metabolism 7
- Oncology top 5%
- Cancer Cells and Metastasis 12
- Genetics top 5%
- Evolution and Genetic Dynamics 24
- Cell Biology top 5%
- Microtubule and mitosis dynamics 9
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- Prostate Cancer Treatment and Research 8
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- Evolutionary Game Theory and Cooperation 5
- Co-authors
- Robert A. GatenbySarah R. AmendKenneth J. PientaEmma U. HammarlundAlexander R.A. AndersonRobert J. GilliesJessica J. CunninghamRobert H. Austin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (3 papers)Nature reviews. Cancer (3 papers)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Joel S. Brown
79 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Modeling and Simulation 656
- Cancer Research 1.2k
- Oncology 686
- Genetics 589
- Cell Biology 307
Countries citing papers authored by Joel S. Brown
This map shows the geographic impact of Joel S. Brown'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 Joel S. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel S. Brown more than expected).
Fields of papers citing papers by Joel S. Brown
This network shows the impact of papers produced by Joel S. Brown. 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 Joel S. Brown. The network helps show where Joel S. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joel S. Brown, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 6 | |
| 6 | Updating the Definition of Cancerbreakdown → | 2023 | 263 |
| 7 | 2023 | 4 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 27 | |
| 13 | 2020 | 122 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 31 | |
| 16 | 2020 | 56 | |
| 17 | 2020 | 134 | |
| 18 | 2020 | 62 | |
| 19 | 2019 | 65 | |
| 20 | Linking consumer-resource theory and digestive physiology: Application to diet shifts | 2000 | 31 |
About Joel S. Brown
Joel S. Brown is a scholar working on Modeling and Simulation, Cancer Research and Genetics, having authored 85 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (43 papers), Mathematical Biology Tumor Growth (30 papers), Evolution and Genetic Dynamics (24 papers), Cancer Cells and Metastasis (12 papers), Microtubule and mitosis dynamics (9 papers), Prostate Cancer Treatment and Research (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Evolutionary Game Theory and Cooperation (5 papers). The work is most often cited by research in Modeling and Simulation (656 citations), Cancer Research (1.2k citations) and Oncology (686 citations). Joel S. Brown has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Robert A. Gatenby, Sarah R. Amend, Kenneth J. Pienta, Emma U. Hammarlund, Alexander R.A. Anderson, Robert J. Gillies, Jessica J. Cunningham, Robert H. Austin, Jingsong Zhang and Robert Axelrod. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nature reviews. Cancer.
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.