Benoît Miotto
Impact in
- Aging top 10%
- 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
- RNA Research and Splicing
Papers in ⓘ
-
- Epigenetics and DNA Methylation 17
- Genomics and Chromatin Dynamics 12
- DNA Repair Mechanisms 10
- Histone Deacetylase Inhibitors Research 4
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
- Ubiquitin and proteasome pathways 3
- Co-authors
- Kevin Struhl (6 shared papers)Zhe Ji (1 shared paper)Claire Marchal (6 shared papers)Yacine Graba (4 shared papers)Pierre‐Antoine Defossez (6 shared papers)Hélène Bérenger (3 shared papers)Jacques Pradel (3 shared papers)Dirk Bohmann (1 shared paper)
- Journals
- BioEssays (3 papers)Epigenetics (3 papers)Molecular Cell (2 papers)Genes & Development (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Benoît Miotto
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 80
- Aging 24
- Molecular Biology 888
- Cancer Research 80
- Cell Biology 80
- Genetics 125
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 195 | |
| 2 | 2008 | 139 | |
| 3 | 2016 | 132 | |
| 4 | 2002 | 66 | |
| 5 | 2006 | 60 | |
| 6 | 2014 | 56 | |
| 7 | 2014 | 47 | |
| 8 | 2014 | 42 | |
| 9 | 2015 | 39 | |
| 10 | 2006 | 37 | |
| 11 | 2011 | 35 | |
| 12 | 2018 | 23 | |
| 13 | 2021 | 16 | |
| 14 | 2010 | 16 | |
| 15 | 2010 | 14 | |
| 16 | 2015 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 9 |
About Benoît Miotto
Benoît Miotto is a scholar working on Molecular Biology, Cancer Research, Genetics, Cell Biology and Agronomy and Crop Science, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Genomics and Chromatin Dynamics (12 papers), DNA Repair Mechanisms (10 papers), Histone Deacetylase Inhibitors Research (4 papers), RNA modifications and cancer (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cancer-related gene regulation (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Aging (24 citations), Molecular Biology (888 citations), Cancer Research (80 citations), Cell Biology (80 citations) and Genetics (125 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, Yacine Graba, Pierre‐Antoine Defossez, Hélène Bérenger, Jacques Pradel, Dirk Bohmann, Ping Xie and Lingqiang Zhang. Their work appears in journals such as BioEssays, Epigenetics, Molecular Cell, Genes & Development and Nucleic Acids Research.
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.