Emmanuel Milot

2.1k citations
37 papers · 1.5k · h-index 18

Impact in

Papers in

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

Emmanuel Milot

36 papers receiving 1.4k citations

Peers

Emmanuel Milot
Comparison fields: 5 of 134
  • Aging 162
  • Geriatrics and Gerontology 151
  • Ecological Modeling 72
  • Genetics 427
  • Neuropsychology and Physiological Psychology 21
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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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014222
2 2013151
3 2000125
4 2015123
5 2012107
6 200891
7 201188
8 201582
9 201765
10 200763
11 201453
12 201448
13 201545
14 201340
15 201635
16 201032
17 200928
18 202024
19 201312
20 201811

About Emmanuel Milot

Emmanuel Milot is a scholar working on Genetics, Ecology, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Geriatrics and Gerontology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Forensic and Genetic Research (8 papers), Wildlife Ecology and Conservation (6 papers), Molecular Biology Techniques and Applications (5 papers), Evolution and Genetic Dynamics (4 papers), Genetic and phenotypic traits in livestock (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 (162 citations), Geriatrics and Gerontology (151 citations), Ecological Modeling (72 citations), Genetics (427 citations) and Neuropsychology and Physiological Psychology (21 citations). Emmanuel Milot has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Alan A. Cohen, Louis Bernatchez, Luigi Ferrucci, Qing Li, Linda P. Fried, Henri Weimerskirch, Tamàs Fülöp, Véronique Legault, Keith A. Hobson and H. Lisle Gibbs. Their work appears in journals such as PLoS ONE, Molecular Ecology, Mechanisms of Ageing and Development, 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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