Yannick D. Benoit
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- Cancer-related gene regulation
- CRISPR and Genetic Engineering
Papers in
-
- Epigenetics and DNA Methylation 17
- Pluripotent Stem Cells Research 7
- Cancer-related gene regulation 7
- Histone Deacetylase Inhibitors Research 6
- CRISPR and Genetic Engineering 4
-
- Cell Adhesion Molecules Research 6
- Co-authors
- Jean‐François Beaulieu (12 shared papers)Lorraine J. Gudas (6 shared papers)Nùria Basora (6 shared papers)Jean‐François Groulx (6 shared papers)Mickie Bhatia (10 shared papers)David J. Gagne (4 shared papers)Nathalie Perreault (1 shared paper)Nathalie Rivard (1 shared paper)
- Journals
- Journal of Cellular Physiology (3 papers)Experimental Cell Research (3 papers)Cell chemical biology (3 papers)Cancers (2 papers)Genes (2 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Yannick D. Benoit
40 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Immunology and Allergy 106
- Molecular Biology 965
- Hematology 146
- Oncology 328
- Cancer Research 154
Countries citing papers authored by Yannick D. Benoit
This map shows the geographic impact of Yannick D. Benoit'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 Yannick D. Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yannick D. Benoit more than expected).
Fields of papers citing papers by Yannick D. Benoit
This network shows the impact of papers produced by Yannick D. Benoit. 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 Yannick D. Benoit. The network helps show where Yannick D. Benoit may publish in the future.
Co-authors
The 25 scholars most cited alongside Yannick D. Benoit, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 163 | |
| 2 | 2007 | 143 | |
| 3 | 2011 | 104 | |
| 4 | 2014 | 83 | |
| 5 | 2009 | 82 | |
| 6 | 2020 | 78 | |
| 7 | 2009 | 63 | |
| 8 | 2010 | 62 | |
| 9 | 2014 | 60 | |
| 10 | 2016 | 57 | |
| 11 | 2012 | 49 | |
| 12 | 2017 | 47 | |
| 13 | 2014 | 46 | |
| 14 | 2017 | 44 | |
| 15 | 2012 | 44 | |
| 16 | 2012 | 42 | |
| 17 | 2012 | 42 | |
| 18 | 2013 | 41 | |
| 19 | 2013 | 40 | |
| 20 | 2019 | 39 |
About Yannick D. Benoit
Yannick D. Benoit is a scholar working on Molecular Biology, Immunology and Allergy, Oncology, Genetics and Cancer Research, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Cancer Cells and Metastasis (9 papers), Pluripotent Stem Cells Research (7 papers), Cancer-related gene regulation (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Cell Adhesion Molecules Research (6 papers), CRISPR and Genetic Engineering (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Immunology and Allergy (106 citations), Molecular Biology (965 citations), Hematology (146 citations), Oncology (328 citations) and Cancer Research (154 citations). Yannick D. Benoit has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jean‐François Beaulieu, Lorraine J. Gudas, Nùria Basora, Jean‐François Groulx, Mickie Bhatia, David J. Gagne, Nathalie Perreault, Nathalie Rivard, Yuji M. Mishina and Steven E. Trasino. Their work appears in journals such as Journal of Cellular Physiology, Experimental Cell Research, Cell chemical biology, Cancers and Genes.
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.