Grégory Éot-Houllier
Impact in
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- Microtubule and mitosis dynamics
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- DNA Repair Mechanisms
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- DNA and Nucleic Acid Chemistry
- Ubiquitin and proteasome pathways
Papers in
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- Protein Degradation and Inhibitors 3
- Histone Deacetylase Inhibitors Research 3
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- Ubiquitin and proteasome pathways 3
- DNA and Nucleic Acid Chemistry 2
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- Microtubule and mitosis dynamics 4
- Co-authors
- Laura Magnaghi-Jaulin (6 shared papers)Christian Jaulin (5 shared papers)Géraldine Fulcrand (4 shared papers)Régis Giet (2 shared papers)Évelyne Sage (3 shared papers)Yoshinori Watanabe (1 shared paper)Didier Gasparutto (2 shared papers)Solange Monier (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Genes & Development (1 paper)Cells (1 paper)Cancer Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- FranceJapanUnited States
In The Last Decade
Grégory Éot-Houllier
11 papers receiving 447 citations
Peers
Comparison fields: 5 of 58
- Cell Biology 104
- Molecular Biology 385
- Cancer Research 79
- Oncology 72
- Geriatrics and Gerontology 7
Countries citing papers authored by Grégory Éot-Houllier
This map shows the geographic impact of Grégory Éot-Houllier'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 Grégory Éot-Houllier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Éot-Houllier more than expected).
Fields of papers citing papers by Grégory Éot-Houllier
This network shows the impact of papers produced by Grégory Éot-Houllier. 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 Grégory Éot-Houllier. The network helps show where Grégory Éot-Houllier may publish in the future.
Co-authors
The 18 scholars most cited alongside Grégory Éot-Houllier, 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 | 2008 | 105 | |
| 2 | 2005 | 68 | |
| 3 | 2019 | 57 | |
| 4 | 2008 | 54 | |
| 5 | 2007 | 46 | |
| 6 | 2007 | 43 | |
| 7 | 2007 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2010 | 21 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 3 |
About Grégory Éot-Houllier
Grégory Éot-Houllier is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Plant Science and Oncology, having authored 11 papers that have together received 451 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Protein Degradation and Inhibitors (3 papers), Histone Deacetylase Inhibitors Research (3 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Ubiquitin and proteasome pathways (3 papers), Carcinogens and Genotoxicity Assessment (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Cell Biology (104 citations), Molecular Biology (385 citations), Cancer Research (79 citations), Oncology (72 citations) and Geriatrics and Gerontology (7 citations). Grégory Éot-Houllier has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Laura Magnaghi-Jaulin, Christian Jaulin, Géraldine Fulcrand, Régis Giet, Évelyne Sage, Yoshinori Watanabe, Didier Gasparutto, Solange Monier, Dominique Giorgi and Sylvie Rouquier. Their work appears in journals such as Nucleic Acids Research, Genes & Development, Cells, Cancer Letters and Nature Communications.
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.