Joel S. Brown

5.6k citations
85 papers · 2.9k indexed · 1 hit paper · h-index 30

Joel S. Brown

79 papers receiving 2.8k citations

Hit Papers

Updating the Definition of Cancer2023202620242025202350100150200250

Peers

Joel S. Brown
Comparison fields: 5 of 163
  • Cancer Research 1.2k
  • Molecular Biology 1.1k
  • Oncology 686
  • Modeling and Simulation 656
  • Genetics 589
Replace Maria Chikina with:
Maria Chikina United States
Ulrik B. Nielsen United States
David Axelrod United States
Roland F. Schwarz Germany
Slimane Ben Miled Tunisia
Christian Beisel Switzerland
Mitchell P. Levesque Switzerland
Maik Kschischo Germany
Cheryl L. Jorcyk United States
Asya Stepansky United States
Joel S. Brown relative to Maria Chikina United States Maria Chikina's profile →
Citations per field
00.5×7.3×
Maria Chikina · 1×
Citations per year

Countries citing papers authored by Joel S. Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Joel S. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Joel S. Brown. A scholar is included among the top collaborators of Joel S. Brown 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 Joel S. Brown. Joel S. Brown 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
#WorkIndexed citations
1 0
2 0
3 5
4 8
5 6
6
Updating the Definition of Cancerbreakdown →
263
7 4
8 10
9 5
10 22
11 14
12 27
13 122
14 4
15 31
16 56
17 134
18 62
19 65
20
Linking consumer-resource theory and digestive physiology: Application to diet shifts
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) and Evolution and Genetic Dynamics (24 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.

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