Michael Boots

4.5k total citations
63 papers, 3.1k citations indexed

About

Michael Boots is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Insect Science. According to data from OpenAlex, Michael Boots has authored 63 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Public Health, Environmental and Occupational Health, 38 papers in Genetics and 22 papers in Insect Science. Recurrent topics in Michael Boots's work include Evolution and Genetic Dynamics (32 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers) and Mosquito-borne diseases and control (18 papers). Michael Boots is often cited by papers focused on Evolution and Genetic Dynamics (32 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers) and Mosquito-borne diseases and control (18 papers). Michael Boots collaborates with scholars based in United Kingdom, Japan and United States. Michael Boots's co-authors include Martin R. Miller, Roger Bowers, Andrew White, Ben Adams, Yoshihiro Haraguchi, Robert J. Knell, Akira Sasaki, Hamady Dieng, Alex Best and Kenneth Wilson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Michael Boots

63 papers receiving 3.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Boots United Kingdom 34 1.5k 1.4k 889 660 637 63 3.1k
Nicole Mideo Canada 24 1.2k 0.8× 1.3k 0.9× 360 0.4× 320 0.5× 248 0.4× 64 2.6k
Jacobus C. de Roode United States 43 2.5k 1.7× 1.4k 1.0× 1.8k 2.0× 366 0.6× 1.8k 2.8× 100 5.3k
Amy B. Pedersen United Kingdom 29 1.2k 0.8× 1.1k 0.8× 524 0.6× 208 0.3× 810 1.3× 61 4.9k
Kayla C. King United Kingdom 29 1.2k 0.8× 381 0.3× 739 0.8× 338 0.5× 485 0.8× 95 3.0k
Lori Stevens United States 32 775 0.5× 494 0.3× 1.4k 1.6× 301 0.5× 693 1.1× 86 2.7k
Alex Best United Kingdom 20 1.0k 0.7× 545 0.4× 295 0.3× 457 0.7× 256 0.4× 51 1.7k
Philip Agnew France 26 530 0.3× 920 0.6× 814 0.9× 179 0.3× 325 0.5× 37 2.0k
Scott L. Nuismer United States 40 2.3k 1.5× 536 0.4× 401 0.5× 698 1.1× 2.0k 3.1× 90 4.2k
Lars Råberg Sweden 28 943 0.6× 545 0.4× 561 0.6× 117 0.2× 1.4k 2.1× 61 3.7k
William C. Black United States 29 331 0.2× 1.7k 1.2× 1.1k 1.2× 170 0.3× 462 0.7× 57 2.8k

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-authorship network of co-authors of Michael Boots

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

All Works

20 of 20 papers shown
1.
2.
Bartlett, Lewis J., Carly Rozins, Berry J. Brosi, et al.. (2019). Industrial bees: The impact of apicultural intensification on local disease prevalence. Journal of Applied Ecology. 56(9). 2195–2205. 24 indexed citations
3.
Bartlett, Lewis J., Lena Wilfert, & Michael Boots. (2018). A genotypic trade‐off between constitutive resistance to viral infection and host growth rate. Evolution. 72(12). 2749–2757. 27 indexed citations
4.
Brosi, Berry J., Keith S. Delaplane, Michael Boots, & Jacobus C. de Roode. (2017). Ecological and evolutionary approaches to managing honeybee disease. Nature Ecology & Evolution. 1(9). 1250–1262. 70 indexed citations
5.
Ryder, Jonathan, Michael Bottery, Michael Boots, et al.. (2014). Disease Epidemiology in Arthropods Is Altered by the Presence of Nonprotective Symbionts. The American Naturalist. 183(3). E89–E104. 14 indexed citations
6.
Prajsnar, Tomasz K., Ruth Hamilton, Jorge Garcı́a-Lara, et al.. (2012). A privileged intraphagocyte niche is responsible for disseminated infection ofStaphylococcus aureusin a zebrafish model. Cellular Microbiology. 14(10). 1600–1619. 87 indexed citations
7.
Dieng, Hamady, Abu Hassan Ahmad, Che Salmah Md Rawi, et al.. (2011). Discarded Cigarette Butts Attract Females and Kill the Progeny of Aedes albopictus. Journal of the American Mosquito Control Association. 27(3). 263–271. 35 indexed citations
8.
Ahmad, Abu Hassan, Hamady Dieng, Tomomitsu Satho, et al.. (2011). Cadaver Wrapping and Arrival Performance of Adult Flies in an Oil Palm Plantation in Northern Peninsular Malaysia. Journal of Medical Entomology. 48(6). 1236–1246. 29 indexed citations
9.
Adams, Ben & Michael Boots. (2010). How important is vertical transmission in mosquitoes for the persistence of dengue? Insights from a mathematical model. Epidemics. 2(1). 1–10. 122 indexed citations
10.
Jones, Edward O., Andrew White, & Michael Boots. (2010). THE EVOLUTIONARY IMPLICATIONS OF CONFLICT BETWEEN PARASITES WITH DIFFERENT TRANSMISSION MODES. Evolution. 64(8). no–no. 15 indexed citations
11.
Childs, Dylan Z. & Michael Boots. (2009). The interaction of seasonal forcing and immunity and the resonance dynamics of malaria. Journal of The Royal Society Interface. 7(43). 309–319. 24 indexed citations
12.
Boots, Michael. (2008). Fight or learn to live with the consequences?. Trends in Ecology & Evolution. 23(5). 248–250. 67 indexed citations
13.
Adams, Ben & Michael Boots. (2007). The influence of immune cross-reaction on phase structure in resonant solutions of a multi-strain seasonal SIR model. Journal of Theoretical Biology. 248(1). 202–211. 16 indexed citations
14.
Miller, Martin R., et al.. (2007). The Population Dynamical Implications of Male-Biased Parasitism in Different Mating Systems. PLoS ONE. 2(7). e624–e624. 15 indexed citations
15.
Adams, Ben & Michael Boots. (2006). Modelling the relationship between antibody-dependent enhancement and immunological distance with application to dengue. Journal of Theoretical Biology. 242(2). 337–346. 39 indexed citations
16.
Bowers, Roger, et al.. (2003). Evolutionary branching/speciation: contrasting results from systems with explicit or emergent carrying capacities. Evolutionary ecology research. 5(6). 883–891. 32 indexed citations
17.
Boots, Michael & Roger Bowers. (2003). Baseline criteria and the evolution of hosts and parasites: D0, R0 and competition for resources between strains. Journal of Theoretical Biology. 223(3). 361–365. 6 indexed citations
18.
Boots, Michael & Akira Sasaki. (2002). Parasite‐Driven Extinction in Spatially Explicit Host‐Parasite Systems. The American Naturalist. 159(6). 706–713. 60 indexed citations
19.
Boots, Michael. (2000). Kinship and cannibalism in the Indian meal moth, Plodia interpunctella: No evidence of kin discrimination. Evolutionary ecology research. 2(1). 119–128. 20 indexed citations
20.
Boots, Michael & Roger Bowers. (1999). Three Mechanisms of Host Resistance to Microparasites—Avoidance, Recovery and Tolerance—Show Different Evolutionary Dynamics. Journal of Theoretical Biology. 201(1). 13–23. 132 indexed citations

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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