Éric Paradis
- Physiology top 5%
- Adipose Tissue and Metabolism 5
- Biological Psychiatry top 10%
- Neurology top 10%
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- Atomic and Subatomic Physics Research 5
- Cold Atom Physics and Bose-Einstein Condensates 5
- Quantum optics and atomic interactions 5
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- Lipid metabolism and disorders 4
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
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- Influenza Virus Research Studies 2
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- Mitochondrial Function and Pathology 2
- Co-authors
- Maria KoutroumanisCynthia G. GoodyerAndréa C. LeBlancDenis RichardGeorg RaithelDavid AndersonDaniel RicquierZane B. Andrews
- Journals
- Neurobiology of Disease (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Cell Metabolism (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Éric Paradis
28 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Endocrine and Autonomic Systems 219
- Physiology 554
- Biological Psychiatry 49
- Neurology 118
- Cellular and Molecular Neuroscience 172
Countries citing papers authored by Éric Paradis
This map shows the geographic impact of Éric Paradis'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 Paradis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Paradis more than expected).
Fields of papers citing papers by Éric Paradis
This network shows the impact of papers produced by Éric Paradis. 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 Paradis. The network helps show where Éric Paradis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Éric Paradis, 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 | 2 | |
| 2 | 2021 | 2 | |
| 3 | 2019 | 44 | |
| 4 | 2018 | 8 | |
| 5 | 2018 | 60 | |
| 6 | 2016 | 34 | |
| 7 | 2015 | 44 | |
| 8 | 2015 | 52 | |
| 9 | 2009 | 51 | |
| 10 | 2007 | 242 | |
| 11 | 2006 | 22 | |
| 12 | 2004 | 52 | |
| 13 | 2004 | 38 | |
| 14 | 2004 | 9 | |
| 15 | 2003 | 34 | |
| 16 | 2003 | 46 | |
| 17 | 2003 | 15 | |
| 18 | 1996 | 255 | |
| 19 | 1996 | 273 | |
| 20 | 1995 | 30 |
About Éric Paradis
Éric Paradis is a scholar working on Endocrine and Autonomic Systems, Agronomy and Crop Science, Small Animals, Physiology and Radiation, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (5 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Adipose Tissue and Metabolism (5 papers), Quantum optics and atomic interactions (5 papers), Lipid metabolism and disorders (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Influenza Virus Research Studies (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (219 citations), Physiology (554 citations), Biological Psychiatry (49 citations), Neurology (118 citations) and Cellular and Molecular Neuroscience (172 citations). Éric Paradis has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Maria Koutroumanis, Cynthia G. Goodyer, Andréa C. LeBlanc, Denis Richard, Georg Raithel, David Anderson, Daniel Ricquier, Zane B. Andrews, Anna Coppola and Sabrina Diano. Their work appears in journals such as Neurobiology of Disease, International Journal of Radiation Oncology*Biology*Physics, Cell Metabolism, Scientific Reports and Trends in Molecular Medicine.
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.