C. Cannings

4.3k citations
144 papers · 3.5k · h-index 29

Impact in

  • Genetics top 1%
    • Evolution and Genetic Dynamics
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock
    • Game Theory and Applications

Papers in

C. Cannings

142 papers receiving 3.2k citations

Peers

C. Cannings
Comparison fields: 5 of 166
  • Genetics 1.5k
  • Management Science and Operations Research 470
  • Safety Research 212
  • Mathematical Physics 204
  • Sociology and Political Science 889
Replace Thomas L. Vincent with:
Thomas L. Vincent United States
Mauro Mobilia United Kingdom
Cedric A. B. Smith United Kingdom
Natalia L. Komarova United States
Paula Leslie United States
Lorens A. Imhof Germany
Benjamin Allen United States
Lindi M. Wahl Canada
Guillermo Abramson Argentina
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Citations per field
00.5×2×3×4×4.7×
Thomas L. Vincent · 1×
Citations per year

Countries citing papers authored by C. Cannings

Since Specialization
Citations

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

Fields of papers citing papers by C. Cannings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Cannings, 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 C. Cannings Line = papers co-authored together C. Cannings links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978327
2 1978258
3 1977209
4 1974208
5 2001160
6 1997108
7
Genetic linkage between hereditary hemochromatosis and HLA.
197998
8 197897
9 199287
10 197679
11 200367
12 200362
13 199961
14 200361
15
Expected genotypic frequencies in a small sample: deviation from Hardy-Weinberg equilibrium.
196958
16 200358
17 198748
18 199446
19 200943
20 197442

About C. Cannings

C. Cannings is a scholar working on Genetics, Management Science and Operations Research, Statistical and Nonlinear Physics, Safety Research and Sociology and Political Science, having authored 144 papers that have together received 3.5k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (43 papers), Evolutionary Game Theory and Cooperation (32 papers), Game Theory and Applications (26 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Complex Network Analysis Techniques (15 papers), Experimental Behavioral Economics Studies (11 papers), Opinion Dynamics and Social Influence (11 papers) and Genetic diversity and population structure (10 papers). The work is most often cited by research in Genetics (1.5k citations), Management Science and Operations Research (470 citations), Safety Research (212 citations), Mathematical Physics (204 citations) and Sociology and Political Science (889 citations). C. Cannings has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include E. A. Thompson, D. Timothy Bishop, Mark H. Skolnick, G.T. Vickers, Mark Broom, A. W. F. Edwards, Richard J Law, Paul Bennett Marrow, John Maynard Smith and John Haigh. Their work appears in journals such as Journal of Theoretical Biology, Advances in Applied Probability, Annals of Human Genetics, Biometrics 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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