Benoît Miotto
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Cancer-related gene regulation
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 18
- Genomics and Chromatin Dynamics 12
- DNA Repair Mechanisms 10
- Cancer-related gene regulation 4
- Histone Deacetylase Inhibitors Research 4
- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 3
- Genetics 5
- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Kevin Struhl (6 shared papers)Zhe Ji (1 shared paper)Claire Marchal (6 shared papers)Pierre‐Antoine Defossez (7 shared papers)Yacine Graba (4 shared papers)Jacques Pradel (3 shared papers)Hélène Bérenger (3 shared papers)Dirk Bohmann (1 shared paper)
- Journals
- Epigenetics (3 papers)BioEssays (3 papers)Genes & Development (2 papers)Nucleic Acids Research (2 papers)Molecular Cell (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Benoît Miotto
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 889
- Aging 22
- Cell Biology 83
- Cancer Research 68
- Genetics 130
Countries citing papers authored by Benoît Miotto
This map shows the geographic impact of Benoît Miotto'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 Benoît Miotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Miotto more than expected).
Fields of papers citing papers by Benoît Miotto
This network shows the impact of papers produced by Benoît Miotto. 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 Benoît Miotto. The network helps show where Benoît Miotto may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Miotto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 205 | |
| 2 | 2008 | 144 | |
| 3 | 2016 | 134 | |
| 4 | 2002 | 67 | |
| 5 | 2006 | 61 | |
| 6 | 2014 | 57 | |
| 7 | 2014 | 49 | |
| 8 | 2014 | 46 | |
| 9 | 2015 | 39 | |
| 10 | 2006 | 38 | |
| 11 | 2011 | 36 | |
| 12 | 2018 | 24 | |
| 13 | 2010 | 21 | |
| 14 | 2021 | 17 | |
| 15 | 2010 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 9 |
About Benoît Miotto
Benoît Miotto is a scholar working on Molecular Biology, Genetics, Cancer Research, Cell Biology and Infectious Diseases, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (18 papers), Genomics and Chromatin Dynamics (12 papers), DNA Repair Mechanisms (10 papers), Genetics and Neurodevelopmental Disorders (4 papers), Cancer-related gene regulation (4 papers), Histone Deacetylase Inhibitors Research (4 papers), RNA modifications and cancer (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Molecular Biology (889 citations), Aging (22 citations), Cell Biology (83 citations), Cancer Research (68 citations) and Genetics (130 citations). Benoît Miotto has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Kevin Struhl, Zhe Ji, Claire Marchal, Pierre‐Antoine Defossez, Yacine Graba, Jacques Pradel, Hélène Bérenger, Dirk Bohmann, Lingqiang Zhang and Ping Xie. Their work appears in journals such as Epigenetics, BioEssays, Genes & Development, Nucleic Acids Research and Molecular Cell.
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.