C. Scott Wylie

848 citations
9 papers · 516 indexed · h-index 8
Topics
Evolution and Genetic Dynamics (8 papers)Evolutionary Game Theory and Cooperation (4 papers)Mathematical and Theoretical Epidemiology and Ecology Models (4 papers)
Partner nations
United StatesIsrael

In The Last Decade

C. Scott Wylie

9 papers receiving 514 citations

Peers

C. Scott Wylie
Comparison fields: 5 of 64
  • Genetics 388
  • Molecular Biology 309
  • Sociology and Political Science 126
  • Public Health, Environmental and Occupational Health 70
  • Plant Science 40
Replace Hsuan-Chao Chiu with:
Hsuan-Chao Chiu United States
Michael J. Wiser United States
Elena R. Lozovsky United States
Lília Perfeito Portugal
Rutger Hermsen Netherlands
K M Brown United States
Nobuto Takeuchi Japan
Dave van Ditmarsch United States
Michael Manhart United States
Anand Pai United States
C. Scott Wylie relative to Hsuan-Chao Chiu United States Hsuan-Chao Chiu's profile →
Citations per field
00.5×1.6×
Hsuan-Chao Chiu · 1×
Citations per year

Countries citing papers authored by C. Scott Wylie

Since Specialization
Citations

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

Fields of papers citing papers by C. Scott Wylie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Scott Wylie. 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 C. Scott Wylie. The network helps show where C. Scott Wylie may publish in the future.

Co-authorship network of co-authors of C. Scott Wylie

This figure shows the co-authorship network connecting the top 25 collaborators of C. Scott Wylie. A scholar is included among the top collaborators of C. Scott Wylie 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 C. Scott Wylie. C. Scott Wylie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 18
2 26
3 53
4 194
5 20
6 148
7 25
8 27
9 5

About C. Scott Wylie

C. Scott Wylie is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Mathematical Physics, having authored 9 papers that have together received 516 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (8 papers), Evolutionary Game Theory and Cooperation (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). The work is most often cited by research in Genetics (388 citations), Molecular Biology (309 citations) and Molecular Medicine (17 citations). C. Scott Wylie has collaborated with scholars based in United States and Israel. Frequent co-authors include Eugene I. Shakhnovich, Daniel Weinreich, Robert B. Heckendorn, Herbert Levine, David A. Kessler, Daniel L. Hartl, C. Brandon Ogbunugafor, Paul Sniegowski, Yevgeniy Raynes and Cheol-Min Ghim. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genetics.

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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