Mathieu Vernier
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
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- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Genomics and Chromatin Dynamics 4
- Nuclear Structure and Function 3
- Retinoids in leukemia and cellular processes 3
- Epigenetics and DNA Methylation 2
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- Prostate Cancer Treatment and Research 4
- Co-authors
- Vincent Giguère (9 shared papers)Gerardo Ferbeyre (7 shared papers)Étienne Audet‐Walsh (5 shared papers)Véronique Bourdeau (4 shared papers)Olga Moiseeva (4 shared papers)Tracey Yee (3 shared papers)Shawn McGuirk (4 shared papers)Julie St‐Pierre (4 shared papers)
In The Last Decade
Mathieu Vernier
20 papers receiving 962 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 261
- Molecular Biology 656
- Aging 16
- Pulmonary and Respiratory Medicine 201
- Physiology 153
Countries citing papers authored by Mathieu Vernier
This map shows the geographic impact of Mathieu Vernier'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 Vernier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Vernier more than expected).
Fields of papers citing papers by Mathieu Vernier
This network shows the impact of papers produced by Mathieu Vernier. 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 Vernier. The network helps show where Mathieu Vernier may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Vernier, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 124 | |
| 2 | 2009 | 101 | |
| 3 | 2017 | 98 | |
| 4 | 2017 | 85 | |
| 5 | 2020 | 84 | |
| 6 | 2016 | 69 | |
| 7 | 2018 | 60 | |
| 8 | 2016 | 48 | |
| 9 | 2020 | 40 | |
| 10 | 2016 | 38 | |
| 11 | 2023 | 35 | |
| 12 | 2021 | 34 | |
| 13 | 2020 | 31 | |
| 14 | 2011 | 30 | |
| 15 | 2014 | 29 | |
| 16 | 2023 | 19 | |
| 17 | 2015 | 17 | |
| 18 | 2024 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2024 | 4 |
About Mathieu Vernier
Mathieu Vernier is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Physiology, having authored 21 papers that have together received 967 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Prostate Cancer Treatment and Research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Nuclear Structure and Function (3 papers), Retinoids in leukemia and cellular processes (3 papers), Cancer-related Molecular Pathways (3 papers), Estrogen and related hormone effects (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (261 citations), Molecular Biology (656 citations), Aging (16 citations), Pulmonary and Respiratory Medicine (201 citations) and Physiology (153 citations). Mathieu Vernier has collaborated with scholars based in Canada, France and Germany. Frequent co-authors include Vincent Giguère, Gerardo Ferbeyre, Étienne Audet‐Walsh, Véronique Bourdeau, Olga Moiseeva, Tracey Yee, Shawn McGuirk, Julie St‐Pierre, Lian Mignacca and Catherine R. Dufour. Their work appears in journals such as Genes & Development, Cancer Research, Aging, Cell Reports and Cell Calcium.
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.