John W. Pepper

53 papers receiving 3.5k citations

John W. Pepper's Hit Papers

Cancer as an evolutionary and ecological process 2006 · 1.3k citations
1.3k0+6+13Years since publication4008001.2k

Peers

John W. Pepper
Comparison fields: 5 of 153
  • Developmental Biology 568
  • Modeling and Simulation 308
  • Cancer Research 705
  • Genetics 1.0k
  • Aging 66
Replace Stuart A. Newman with:
Stuart A. Newman United States
Michael Lachmann United States
Beáta Újvári Australia
Jennifer M. Williams United States
Molly Przeworski United States
Reinhard Bürger Austria
Chung‐I Wu United States
David Scheel United States
Michael Hiller Germany
Fyodor A. Kondrashov United States
John W. Pepper relative to Stuart A. Newman United States Stuart A. Newman's profile →
Citations per field
00.5×2×4×6.7×
Stuart A. Newman · 1×
Citations per year

Countries citing papers authored by John W. Pepper

Since Specialization
Citations

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

Fields of papers citing papers by John W. Pepper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Pepper. 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 John W. Pepper. The network helps show where John W. Pepper may publish in the future.

Co-authors

The 25 scholars most cited alongside John W. Pepper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John W. Pepper Line = papers co-authored together John W. Pepper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cancer as an evolutionary and ecological process
Hit paper breakdown →
20061259
2 1992463
3 2000141
4 2002133
5 1999131
6 1998126
7 2008122
8 2002100
9 199995
10 200980
11 201070
12 201065
13 200959
14 200358
15 200756
16 200756
17 200651
18 201649
19 200048
20 200948

About John W. Pepper

John W. Pepper is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Sociology and Political Science, Molecular Biology and Cancer Research, having authored 53 papers that have together received 3.7k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (18 papers), Evolutionary Game Theory and Cooperation (14 papers), Animal Behavior and Reproduction (10 papers), Plant and animal studies (9 papers), Cancer Genomics and Diagnostics (9 papers), Mathematical Biology Tumor Growth (6 papers), Marine animal studies overview (4 papers) and Wildlife Ecology and Conservation (4 papers). The work is most often cited by research in Developmental Biology (568 citations), Modeling and Simulation (308 citations), Cancer Research (705 citations), Genetics (1.0k citations) and Aging (66 citations). John W. Pepper has collaborated with scholars based in United States, Malaysia and Canada. Frequent co-authors include Carlo C. Maley, Lauren M.F. Merlo, Brian J. Reid, Rachel A. Smolker, Richard C. Connor, Andrew F. Richards, Barbara Smuts, John C. Mitani, David P. Watts and Bernd Heinrich. Their work appears in journals such as Evolution, Journal of Theoretical Biology, Animal Behaviour, Evolution Medicine and Public Health and Behaviour.

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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