Benoît Miotto
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
Papers in
-
- Genomics and Chromatin Dynamics 12
- Epigenetics and DNA Methylation 11
- DNA Repair Mechanisms 8
- Ubiquitin and proteasome pathways 2
- Developmental Biology and Gene Regulation 2
- Cancer therapeutics and mechanisms 1
- RNA Research and Splicing 1
- Co-authors
- Kevin Struhl (5 shared papers)Zhe Ji (1 shared paper)Claire Marchal (6 shared papers)Pierre‐Antoine Defossez (7 shared papers)Yacine Graba (3 shared papers)Maud de Dieuleveult (6 shared papers)Lingqiang Zhang (2 shared papers)Jacques Pradel (2 shared papers)
- Journals
- BioEssays (3 papers)Epigenetics (3 papers)Molecular Cell (2 papers)Nucleic Acids Research (2 papers)Environmental Research (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Benoît Miotto
31 papers receiving 14.2k citations
Benoît Miotto's Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 2k
- Molecular Biology 8.3k
- Genetics 2.7k
- Aging 46
- Developmental Neuroscience 75
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An integrated encyclopedia of DNA elements in the human genome Hit paper breakdown → | 2012 | 13503 |
| 2 | 2010 | 203 | |
| 3 | 2016 | 130 | |
| 4 | 2002 | 63 | |
| 5 | 2014 | 60 | |
| 6 | 2014 | 52 | |
| 7 | 2014 | 46 | |
| 8 | 2011 | 41 | |
| 9 | 2015 | 40 | |
| 10 | 2006 | 36 | |
| 11 | 2018 | 25 | |
| 12 | 2010 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2010 | 14 | |
| 15 | 2015 | 14 | |
| 16 | 2018 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2022 | 11 | |
| 20 | 2024 | 10 |
About Benoît Miotto
Benoît Miotto is a scholar working on Molecular Biology, Pharmacology, Hematology, Cancer Research and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 14.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (11 papers), DNA Repair Mechanisms (8 papers), Ubiquitin and proteasome pathways (2 papers), Developmental Biology and Gene Regulation (2 papers), Cancer therapeutics and mechanisms (1 paper), RNA Research and Splicing (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (2k citations), Molecular Biology (8.3k citations), Genetics (2.7k citations), Aging (46 citations) and Developmental Neuroscience (75 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, Maud de Dieuleveult, Lingqiang Zhang, Jacques Pradel, Sophie Laget and Hang Gyeong Chin. Their work appears in journals such as BioEssays, Epigenetics, Molecular Cell, Nucleic Acids Research and Environmental 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.