Emmanuel Milot

2.1k citations
35 papers · 1.4k · h-index 18

Impact in

Papers in

    • Forensic and Genetic Research 8
    • Genetic diversity and population structure 8
    • Genetic and phenotypic traits in livestock 4
    • Evolution and Genetic Dynamics 4
    • Wildlife Ecology and Conservation 6
    • Avian ecology and behavior 4

Emmanuel Milot

32 papers receiving 1.3k citations

Peers

Emmanuel Milot
Comparison fields: 5 of 136
  • Aging 152
  • Geriatrics and Gerontology 172
  • Neuropsychology and Physiological Psychology 40
  • Ecological Modeling 67
  • Genetics 415
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Citations per field
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Citations per year

Countries citing papers authored by Emmanuel Milot

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Milot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014195
2 2013136
3 2000123
4 2015117
5 2012104
6 200887
7 201177
8 201574
9 200761
10 201452
11 201747
12 201543
13 201443
14 201336
15 201633
16 201032
17 200928
18 202021
19 201811
20 20139

About Emmanuel Milot

Emmanuel Milot is a scholar working on Genetics, Ecology, Molecular Biology, Neuropsychology and Physiological Psychology and Health, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Forensic and Genetic Research (8 papers), Genetic diversity and population structure (8 papers), Wildlife Ecology and Conservation (6 papers), Molecular Biology Techniques and Applications (6 papers), Genetic and phenotypic traits in livestock (4 papers), Evolution and Genetic Dynamics (4 papers), Animal Behavior and Reproduction (4 papers) and Avian ecology and behavior (4 papers). The work is most often cited by research in Aging (152 citations), Geriatrics and Gerontology (172 citations), Neuropsychology and Physiological Psychology (40 citations), Ecological Modeling (67 citations) and Genetics (415 citations). Emmanuel Milot has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Alan A. Cohen, Louis Bernatchez, Qing Li, Luigi Ferrucci, Linda P. Fried, Henri Weimerskirch, Tamàs Fülöp, Keith A. Hobson, H. Lisle Gibbs and Véronique Legault. Their work appears in journals such as Molecular Ecology, Mechanisms of Ageing and Development, PLoS ONE, Evolutionary Applications and Forensic Science International Synergy.

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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