David V. McLeod
Impact in
- Genetics top 10%
- Evolution and Genetic Dynamics
- Insect and Arachnid Ecology and Behavior
- Modeling and Simulation top 10%
Papers in
- Genetics 13
- Evolution and Genetic Dynamics 13
-
- Evolutionary Game Theory and Cooperation 7
- Co-authors
- Troy Day (7 shared papers)Clayton E. Cressler (1 shared paper)Carly Rozins (1 shared paper)Sylvain Gandon (5 shared papers)Geoff Wild (3 shared papers)Yolanda E. Morbey (1 shared paper)Lindi M. Wahl (1 shared paper)Nicole Mideo (1 shared paper)
- Journals
- Evolution (2 papers)Nature Ecology & Evolution (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)Evolution Letters (2 papers)Nature Communications (1 paper)
- Partner nations
- CanadaSwitzerlandFrance
In The Last Decade
David V. McLeod
16 papers receiving 339 citations
Peers
Comparison fields: 5 of 56
- Genetics 192
- Modeling and Simulation 23
- Insect Science 49
- Parasitology 25
- Public Health, Environmental and Occupational Health 100
Countries citing papers authored by David V. McLeod
This map shows the geographic impact of David V. McLeod'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 David V. McLeod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David V. McLeod more than expected).
Fields of papers citing papers by David V. McLeod
This network shows the impact of papers produced by David V. McLeod. 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 David V. McLeod. The network helps show where David V. McLeod may publish in the future.
Co-authors
The 13 scholars most cited alongside David V. McLeod, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 225 | |
| 2 | 2014 | 19 | |
| 3 | 2022 | 13 | |
| 4 | 2017 | 11 | |
| 5 | 2011 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2015 | 9 | |
| 8 | 2013 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2014 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About David V. McLeod
David V. McLeod is a scholar working on Genetics, Sociology and Political Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 344 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (13 papers), Evolutionary Game Theory and Cooperation (7 papers), Plant and animal studies (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Escherichia coli research studies (3 papers), Animal Behavior and Reproduction (3 papers), Evolutionary Psychology and Human Behavior (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Genetics (192 citations), Modeling and Simulation (23 citations), Insect Science (49 citations), Parasitology (25 citations) and Public Health, Environmental and Occupational Health (100 citations). David V. McLeod has collaborated with scholars based in Canada, Switzerland and France. Frequent co-authors include Troy Day, Clayton E. Cressler, Carly Rozins, Sylvain Gandon, Geoff Wild, Yolanda E. Morbey, Lindi M. Wahl, Nicole Mideo, Francisco Úbeda and Bridget N. J. Watson. Their work appears in journals such as Evolution, Nature Ecology & Evolution, Proceedings of the Royal Society B Biological Sciences, Evolution Letters and Nature Communications.
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.