Troy Day

17.0k citations
153 papers · 11.1k indexed · 1 hit paper · h-index 59

Troy Day

152 papers receiving 10.7k citations

Hit Papers

The origins and potential future of SARS-CoV-2 variants o...216202120262022202450100150200

Peers

Troy Day
Comparison fields: 5 of 171
  • Modeling and Simulation 1.0k
  • Genetics 5.5k
  • Ecology, Evolution, Behavior and Systematics 3.4k
  • Aging 268
  • Nature and Landscape Conservation 1.4k
Replace Andrew F. Read with:
Andrew F. Read United Kingdom
Joshua B. Plotkin United States
J.A.J. Metz Netherlands
Sarah P. Otto Canada
Sylvain Gandon France
Sergei L. Kosakovsky Pond United States
Frédéric Thomas France
Dieter Ebert Switzerland
Steven A. Frank United States
Richard E. Lenski United States
Troy Day relative to Andrew F. Read United Kingdom Andrew F. Read's profile →
Citations per field
00.5×1.5×2.2×
Andrew F. Read · 1×
Citations per year

Countries citing papers authored by Troy Day

Since Specialization
Citations

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

Fields of papers citing papers by Troy Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20239
3 202313
4 202219
5 20215
6 20203
7 201753
8 2010126
9 20089
10 2008255
11
An epidemiological context for the consequences of phenotypic plasticity in host-pathogen interactions
20072
12 2006125
13 2006181
14 200630
15 200540
16
Condition-dependent sexual selection can accelerate adaptation
2003230
17
Revisiting the positive correlation between female size and egg size
200369
18
Evolutionary dynamics and stability in discrete and continuous games
200325
19 2003195
20 200079

About Troy Day

Troy Day is a scholar working on Modeling and Simulation, Genetics, Aging, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 153 papers that have together received 11.1k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (89 papers), Evolutionary Game Theory and Cooperation (54 papers), Mathematical and Theoretical Epidemiology and Ecology Models (52 papers), Animal Behavior and Reproduction (28 papers), Plant and animal studies (26 papers), COVID-19 epidemiological studies (22 papers), Genetic diversity and population structure (7 papers) and Evolutionary Psychology and Human Behavior (7 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Genetics (5.5k citations), Ecology, Evolution, Behavior and Systematics (3.4k citations), Aging (268 citations) and Nature and Landscape Conservation (1.4k citations). Troy Day has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Russell Bonduriansky, Locke Rowe, Andrew P. Hendry, Peter Taylor, Sylvain Gandon, Sarah P. Otto, Andrew F. Read, Stephen R. Proulx, Nicole Mideo and Erin K. Cameron. Their work appears in journals such as Evolution, Proceedings of the Royal Society B Biological Sciences, The American Naturalist, Journal of Evolutionary Biology and Journal of The Royal Society Interface.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026