Éric Milot

2.3k citations
38 papers · 1.8k · h-index 24

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • Cancer-related gene regulation

Papers in

    • Genomics and Chromatin Dynamics 11
    • Epigenetics and DNA Methylation 8
    • CRISPR and Genetic Engineering 6
    • Ubiquitin and proteasome pathways 5
    • Cancer-related gene regulation 4
    • Acute Myeloid Leukemia Research 9

Éric Milot

38 papers receiving 1.8k citations

Peers

Éric Milot
Comparison fields: 5 of 86
  • Genetics 215
  • Molecular Biology 1.3k
  • Hematology 165
  • Immunology 236
  • Genetics 301
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David B. Beck United States
Ute Schaeper Germany
Rouslan Kotchetkov Canada
Elspeth M. Beauchamp United States
Kun-Sang Chang United States
Alexander L. Kovalchuk United States
Yu Yao United States
Julian P. Venables United Kingdom
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Countries citing papers authored by Éric Milot

Since Specialization
Citations

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

Fields of papers citing papers by Éric Milot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996286
2 2010208
3 201592
4 200091
5 199884
6 200172
7 201172
8 201368
9 199657
10 200856
11 200353
12 199252
13 199451
14 201250
15 201045
16 200043
17 201440
18 200139
19 200638
20 202335

About Éric Milot

Éric Milot is a scholar working on Molecular Biology, Hematology, Genetics, Genetics and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (11 papers), Acute Myeloid Leukemia Research (9 papers), Epigenetics and DNA Methylation (8 papers), CRISPR and Genetic Engineering (6 papers), Ubiquitin and proteasome pathways (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Cancer-related gene regulation (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Genetics (215 citations), Molecular Biology (1.3k citations), Hematology (165 citations), Immunology (236 citations) and Genetics (301 citations). Éric Milot has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include Frank Grosveld, Peter Fraser, Stefania Bottardi, János G. Filep, Julie Ross, El Bachir Affar, Tolleiv Trimborn, Mark Wijgerde, Ernie de Boer and An Langeveld. Their work appears in journals such as The EMBO Journal, Molecular and Cellular Biology, PLoS Genetics, Nucleic Acids Research and Journal of Biological Chemistry.

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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