Mathieu Gabut
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
Papers in
- Genetics 9
- Glioma Diagnosis and Treatment 8
-
- RNA Research and Splicing 11
- RNA modifications and cancer 10
- RNA and protein synthesis mechanisms 5
- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 3
- RNA Interference and Gene Delivery 2
- Co-authors
- Benjamin J. Blencowe (3 shared papers)Sébastien Durand (5 shared papers)Johann Soret (4 shared papers)Dave O’Hanlon (2 shared papers)Qun Pan (2 shared papers)Jamal Tazi (4 shared papers)Hynek Wichterle (1 shared paper)András Nagy (1 shared paper)
- Journals
- Cell (3 papers)Cells (2 papers)Molecular and Cellular Biology (2 papers)Cancers (2 papers)Trends in cancer (2 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Mathieu Gabut
24 papers receiving 1.5k citations
Mathieu Gabut's Hit Papers
Peers
Comparison fields: 5 of 88
- Genetics 208
- Molecular Biology 1.1k
- Cancer Research 220
- Aging 16
- Immunology 115
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 298 | |
| 2 | 2013 | 243 | |
| 3 | Challenges in glioblastoma research: focus on the tumor microenvironment Hit paper breakdown → | 2022 | 217 |
| 4 | 2009 | 180 | |
| 5 | 2005 | 103 | |
| 6 | 2015 | 90 | |
| 7 | 2020 | 64 | |
| 8 | 2021 | 60 | |
| 9 | 2005 | 57 | |
| 10 | 2008 | 51 | |
| 11 | 2021 | 27 | |
| 12 | 2020 | 24 | |
| 13 | 2006 | 23 | |
| 14 | 2007 | 19 | |
| 15 | 2023 | 15 | |
| 16 | 2020 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2023 | 9 | |
| 19 | 2018 | 7 | |
| 20 | 2022 | 7 |
About Mathieu Gabut
Mathieu Gabut is a scholar working on Genetics, Molecular Biology, Immunology, Cancer Research and Structural Biology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers), Glioma Diagnosis and Treatment (8 papers), RNA and protein synthesis mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers), Immune cells in cancer (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (208 citations), Molecular Biology (1.1k citations), Cancer Research (220 citations), Aging (16 citations) and Immunology (115 citations). Mathieu Gabut has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Benjamin J. Blencowe, Sébastien Durand, Johann Soret, Dave O’Hanlon, Qun Pan, Jamal Tazi, Hynek Wichterle, András Nagy, Stéphane Nedelec and Peter W. Zandstra. Their work appears in journals such as Cell, Cells, Molecular and Cellular Biology, Cancers and Trends in cancer.
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.