Michael Boots

4.6k citations
63 papers · 3.4k · h-index 35

Impact in

    • Insect symbiosis and bacterial influences
    • Insect and Pesticide Research
  • Genetics top 1%
    • Evolution and Genetic Dynamics

Papers in

Michael Boots

63 papers receiving 3.2k citations

Peers

Michael Boots
Comparison fields: 5 of 118
  • Insect Science 904
  • Genetics 1.6k
  • Public Health, Environmental and Occupational Health 1.4k
  • Modeling and Simulation 165
  • Ecology, Evolution, Behavior and Systematics 663
Replace Nicole Mideo with:
Nicole Mideo Canada
Amy B. Pedersen United Kingdom
Jacobus C. de Roode United States
Courtney C. Murdock United States
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Mark Q. Benedict United States
Dana M. Hawley United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Boots

Since Specialization
Citations

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

Fields of papers citing papers by Michael Boots

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006195
2 1999176
3 2007175
4 2008170
5 1999138
6 2003130
7 2010123
8 2007119
9 201197
10 201292
11 200492
12 200789
13 201580
14 201077
15 202071
16 201771
17 200471
18 200870
19 200069
20 201469

About Michael Boots

Michael Boots is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Insect Science, Sociology and Political Science and Ecology, Evolution, Behavior and Systematics, having authored 63 papers that have together received 3.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (32 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Mosquito-borne diseases and control (18 papers), Evolutionary Game Theory and Cooperation (15 papers), Insect symbiosis and bacterial influences (11 papers), Plant and animal studies (10 papers), Insect and Pesticide Research (8 papers) and Insect Pest Control Strategies (7 papers). The work is most often cited by research in Insect Science (904 citations), Genetics (1.6k citations), Public Health, Environmental and Occupational Health (1.4k citations), Modeling and Simulation (165 citations) and Ecology, Evolution, Behavior and Systematics (663 citations). Michael Boots has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Martin R. Miller, Andrew White, Roger Bowers, Ben Adams, Yoshihiro Haraguchi, Robert J. Knell, Akira Sasaki, Hamady Dieng, Alex Best and Kenneth Wilson. Their work appears in journals such as Journal of Theoretical Biology, Proceedings of the Royal Society B Biological Sciences, Evolution, Journal of Animal Ecology and Journal of the American Mosquito Control Association.

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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