Nicolas Gévry
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA Repair Mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Oncology top 5%
- PARP inhibition in cancer therapy
Papers in
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- Reproductive Physiology in Livestock 7
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- Genomics and Chromatin Dynamics 20
- Epigenetics and DNA Methylation 11
- RNA Research and Splicing 9
- Co-authors
- Luc GaudreauSteven A. MauroMi Young KimJohn T. LisW. Lee KrausFrançois RobertLiette LaflammeBruce D. Murphy
- Journals
- Biology of Reproduction (3 papers)Nucleic Acids Research (3 papers)Endocrinology (3 papers)Molecular Endocrinology (2 papers)Oncotarget (2 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Nicolas Gévry
51 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.9k
- Oncology 562
- Reproductive Medicine 140
- Cancer Research 234
- Endocrine and Autonomic Systems 92
Countries citing papers authored by Nicolas Gévry
This map shows the geographic impact of Nicolas Gévry'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 Nicolas Gévry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Gévry more than expected).
Fields of papers citing papers by Nicolas Gévry
This network shows the impact of papers produced by Nicolas Gévry. 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 Nicolas Gévry. The network helps show where Nicolas Gévry may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Gévry, 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 | 2025 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2018 | 17 | |
| 5 | Discovery of expression quantitative trait locus associated with Johne’s disease using both RNA-seq and DNA variants | 2018 | 1 |
| 6 | 2016 | 3 | |
| 7 | 2015 | 62 | |
| 8 | 2015 | 31 | |
| 9 | 2014 | 39 | |
| 10 | 2014 | 27 | |
| 11 | 2014 | 46 | |
| 12 | 2014 | 21 | |
| 13 | 2009 | 109 | |
| 14 | 2009 | 11 | |
| 15 | 2008 | 29 | |
| 16 | 2006 | 23 | |
| 17 | 2004 | 25 | |
| 18 | 2004 | 464 | |
| 19 | 2003 | 104 | |
| 20 | 2002 | 13 |
About Nicolas Gévry
Nicolas Gévry is a scholar working on Agronomy and Crop Science, Molecular Biology, Reproductive Medicine, Cancer Research and Genetics, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (20 papers), Epigenetics and DNA Methylation (11 papers), RNA Research and Splicing (9 papers), Estrogen and related hormone effects (8 papers), Reproductive Biology and Fertility (7 papers), Reproductive Physiology in Livestock (7 papers), Cancer-related molecular mechanisms research (6 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Oncology (562 citations), Reproductive Medicine (140 citations), Cancer Research (234 citations) and Endocrine and Autonomic Systems (92 citations). Nicolas Gévry has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Luc Gaudreau, Steven A. Mauro, Mi Young Kim, John T. Lis, W. Lee Kraus, François Robert, Liette Laflamme, Bruce D. Murphy, Amy Svotelis and Stéphanie Bianco. Their work appears in journals such as Biology of Reproduction, Nucleic Acids Research, Endocrinology, Molecular Endocrinology and Oncotarget.
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.