Mathieu Gabut
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- Genetics top 10%
Papers in
-
- RNA Research and Splicing 10
- RNA modifications and cancer 9
- RNA and protein synthesis mechanisms 5
- Pluripotent Stem Cells Research 3
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 2
- Genomics and Chromatin Dynamics 2
- Genetics 6
- Glioma Diagnosis and Treatment 5
- Co-authors
- Benjamin J. Blencowe (3 shared papers)С. А. Лавров (1 shared paper)Frédéric Bantignies (1 shared paper)Giacomo Cavalli (1 shared paper)Charlotte Grimaud (1 shared paper)Sébastien Durand (5 shared papers)Qun Pan (2 shared papers)Dave O’Hanlon (2 shared papers)
- Journals
- Cell (3 papers)Nature Communications (2 papers)Molecular and Cellular Biology (2 papers)Cells (2 papers)Cancers (2 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Mathieu Gabut
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 1.0k
- Genetics 104
- Cancer Research 138
- Aging 16
- Virology 20
Countries citing papers authored by Mathieu Gabut
This map shows the geographic impact of Mathieu Gabut'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 Mathieu Gabut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Gabut more than expected).
Fields of papers citing papers by Mathieu Gabut
This network shows the impact of papers produced by Mathieu Gabut. 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 Mathieu Gabut. The network helps show where Mathieu Gabut may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Gabut, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 284 | |
| 2 | 2003 | 205 | |
| 3 | 2009 | 179 | |
| 4 | 2005 | 103 | |
| 5 | 2015 | 82 | |
| 6 | 2020 | 60 | |
| 7 | 2005 | 56 | |
| 8 | 2021 | 50 | |
| 9 | 2008 | 49 | |
| 10 | 2006 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2007 | 18 | |
| 14 | 2023 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2018 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 3 |
About Mathieu Gabut
Mathieu Gabut is a scholar working on Molecular Biology, Genetics, Structural Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA modifications and cancer (9 papers), Glioma Diagnosis and Treatment (5 papers), RNA and protein synthesis mechanisms (5 papers), Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers), RNA Interference and Gene Delivery (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Genetics (104 citations), Cancer Research (138 citations), Aging (16 citations) and Virology (20 citations). Mathieu Gabut has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Benjamin J. Blencowe, С. А. Лавров, Frédéric Bantignies, Giacomo Cavalli, Charlotte Grimaud, Sébastien Durand, Qun Pan, Dave O’Hanlon, Johann Soret and Jamal Tazi. Their work appears in journals such as Cell, Nature Communications, Molecular and Cellular Biology, Cells and Cancers.
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.