Éric Deneault
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- CRISPR and Genetic Engineering 7
- Pluripotent Stem Cells Research 4
-
- Acute Myeloid Leukemia Research 4
- Hematopoietic Stem Cell Transplantation 4
- Co-authors
- Guy Sauvageau (12 shared papers)Jalila Chagraoui (8 shared papers)Nadine Mayotte (6 shared papers)Sonia Cellot (7 shared papers)Martin Sauvageau (5 shared papers)Josée Hébert (3 shared papers)Stephen B. Ting (5 shared papers)Kristin J. Hope (5 shared papers)
- Journals
- Blood (8 papers)iScience (1 paper)Biological Psychiatry (1 paper)Advances in experimental medicine and biology (1 paper)Stem Cell Research (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Éric Deneault
22 papers receiving 802 citations
Peers
Comparison fields: 5 of 76
- Hematology 213
- Aging 18
- Molecular Biology 531
- Developmental Neuroscience 29
- Business and International Management 12
Countries citing papers authored by Éric Deneault
This map shows the geographic impact of Éric Deneault'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 Éric Deneault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Deneault more than expected).
Fields of papers citing papers by Éric Deneault
This network shows the impact of papers produced by Éric Deneault. 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 Éric Deneault. The network helps show where Éric Deneault may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Deneault, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 122 | |
| 2 | 2016 | 115 | |
| 3 | 2009 | 101 | |
| 4 | 2012 | 89 | |
| 5 | 2011 | 66 | |
| 6 | 2019 | 60 | |
| 7 | 2013 | 52 | |
| 8 | 2019 | 51 | |
| 9 | 2013 | 38 | |
| 10 | 2017 | 33 | |
| 11 | 2024 | 25 | |
| 12 | 2021 | 16 | |
| 13 | 2024 | 14 | |
| 14 | 2022 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2008 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2010 | 1 |
About Éric Deneault
Éric Deneault is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Neurology, having authored 23 papers that have together received 805 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Pluripotent Stem Cells Research (4 papers), Autism Spectrum Disorder Research (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hematology (213 citations), Aging (18 citations), Molecular Biology (531 citations), Developmental Neuroscience (29 citations) and Business and International Management (12 citations). Éric Deneault has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Guy Sauvageau, Jalila Chagraoui, Nadine Mayotte, Sonia Cellot, Martin Sauvageau, Josée Hébert, Stephen B. Ting, Kristin J. Hope, Jean‐Philippe Laverdure and Stephen W. Scherer. Their work appears in journals such as Blood, iScience, Biological Psychiatry, Advances in experimental medicine and biology and Stem Cell Research.
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.