Éric Milot
- Genetics top 5%
- Hemoglobinopathies and Related Disorders 4
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics 8
- Epigenetics and DNA Methylation 6
- CRISPR and Genetic Engineering 5
- Ubiquitin and proteasome pathways 5
- RNA modifications and cancer 4
- Hematology top 5%
- Acute Myeloid Leukemia Research 9
- Immunology top 10%
- Genetics top 10%
- Hemoglobinopathies and Related Disorders 4
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- Acute Lymphoblastic Leukemia research 5
- Co-authors
- Frank GrosveldStefania BottardiJános G. FilepJulie RossEl Bachir AffarPeter FraserAn LangeveldSalima Daou
- Cited by
- GeneticsMolecular BiologyHematology
- Journals
- Molecular and Cellular Biology (5 papers)PLoS Genetics (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- CanadaNetherlandsUnited States
In The Last Decade
Éric Milot
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 87
- Genetics 190
- Molecular Biology 1.2k
- Hematology 163
- Immunology 240
- Genetics 262
Countries citing papers authored by Éric Milot
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2023 | 30 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 25 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 10 | |
| 9 | 2013 | 67 | |
| 10 | 2012 | 32 | |
| 11 | 2011 | 27 | |
| 12 | 2010 | 43 | |
| 13 | 2008 | 28 | |
| 14 | 2008 | 56 | |
| 15 | 2007 | 1 | |
| 16 | 2007 | 15 | |
| 17 | 2004 | 6 | |
| 18 | 2000 | 91 | |
| 19 | 1996 | 57 | |
| 20 | 1994 | 51 |
About Éric Milot
Éric Milot is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Genetics, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (6 papers), CRISPR and Genetic Engineering (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Ubiquitin and proteasome pathways (5 papers), RNA modifications and cancer (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Genetics (190 citations), Molecular Biology (1.2k citations), Hematology (163 citations), Immunology (240 citations) and Genetics (262 citations). Éric Milot has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include Frank Grosveld, Stefania Bottardi, János G. Filep, Julie Ross, El Bachir Affar, Peter Fraser, An Langeveld, Salima Daou, Mark Wijgerde and Tolleiv Trimborn. Their work appears in journals such as Molecular and Cellular Biology, PLoS Genetics, Frontiers in Immunology, Trends in Genetics and The EMBO Journal.
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.