Benoit Molinié
Impact in
- Molecular Biology top 1%
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- Circular RNAs in diseases
- Genetics top 1%
- Genetic Associations and Epidemiology
Papers in
-
- RNA modifications and cancer 5
- Genomics and Chromatin Dynamics 4
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 1
- Genetics 5
- Genetic Associations and Epidemiology 4
- Genomic variations and chromosomal abnormalities 1
- Co-authors
- Cosmas C. Giallourakis (9 shared papers)Alan C. Mullen (4 shared papers)Jinkai Wang (3 shared papers)Yi Xing (3 shared papers)Chan Zhou (2 shared papers)Peter C. Dedon (2 shared papers)Alla A. Sigova (2 shared papers)Richard A. Young (2 shared papers)
- Journals
- Cell (2 papers)Nature Genetics (2 papers)Nature Methods (1 paper)Nature Communications (1 paper)Cell stem cell (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Benoit Molinié
17 papers receiving 6k citations
Benoit Molinié's Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 3.5k
- Genetics 1.6k
- Cancer Research 584
- Aging 22
- Psychiatry and Mental health 148
Countries citing papers authored by Benoit Molinié
This map shows the geographic impact of Benoit Molinié'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 Benoit Molinié with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoit Molinié more than expected).
Fields of papers citing papers by Benoit Molinié
This network shows the impact of papers produced by Benoit Molinié. 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 Benoit Molinié. The network helps show where Benoit Molinié may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoit Molinié, 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 | Genetic effects on gene expression across human tissues Hit paper breakdown → | 2017 | 2894 |
| 2 | m6A RNA Modification Controls Cell Fate Transition in Mammalian Embryonic Stem Cells Hit paper breakdown → | 2014 | 1035 |
| 3 | 2011 | 384 | |
| 4 | 2013 | 379 | |
| 5 | 2015 | 379 | |
| 6 | 2017 | 359 | |
| 7 | 2016 | 349 | |
| 8 | 2021 | 104 | |
| 9 | 2020 | 51 | |
| 10 | 2018 | 31 | |
| 11 | 2009 | 30 | |
| 12 | 2017 | 21 | |
| 13 | 2023 | 21 | |
| 14 | 2013 | 13 | |
| 15 | 2009 | 9 | |
| 16 | 2011 | 6 | |
| 17 | 2017 | 1 |
About Benoit Molinié
Benoit Molinié is a scholar working on Molecular Biology, Genetics, Developmental Neuroscience, Gastroenterology and Cancer Research, having authored 17 papers that have together received 6.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Genomics and Chromatin Dynamics (4 papers), Genetic Associations and Epidemiology (4 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Gastrointestinal motility and disorders (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Molecular Biology (3.5k citations), Genetics (1.6k citations), Cancer Research (584 citations), Aging (22 citations) and Psychiatry and Mental health (148 citations). Benoit Molinié has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Cosmas C. Giallourakis, Alan C. Mullen, Jinkai Wang, Yi Xing, Chan Zhou, Peter C. Dedon, Alla A. Sigova, Richard A. Young, Phillip A. Sharp and Nicholas Van Wittenberghe. Their work appears in journals such as Cell, Nature Genetics, Nature Methods, Nature Communications and Cell stem 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.