Marie‐Ève Paré
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology 4
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- T-cell and Retrovirus Studies 4
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- Cardiovascular and exercise physiology 3
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- Vector-Borne Animal Diseases 4
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- Chronic Obstructive Pulmonary Disease (COPD) Research 5
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- Muscle Physiology and Disorders 3
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- Transgenic Plants and Applications 3
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Richard DebigaréFrançois MaltaisBenoı̂t BarbeauJean-Michel MesnardSusan J. MarriottVincent MainguyCharlotte Arpin-AndréSébastien Landry
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Marie‐Ève Paré
22 papers receiving 699 citations
Peers
Comparison fields: 5 of 78
- Agronomy and Crop Science 133
- Immunology 199
- Complementary and alternative medicine 63
- Ecology, Evolution, Behavior and Systematics 123
- Virology 30
Countries citing papers authored by Marie‐Ève Paré
This map shows the geographic impact of Marie‐Ève Paré'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 Marie‐Ève Paré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Ève Paré more than expected).
Fields of papers citing papers by Marie‐Ève Paré
This network shows the impact of papers produced by Marie‐Ève Paré. 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 Marie‐Ève Paré. The network helps show where Marie‐Ève Paré may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marie‐Ève Paré, 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 | 2025 | 1 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 9 | |
| 5 | 2019 | 15 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 30 | |
| 8 | 2017 | 42 | |
| 9 | 2016 | 75 | |
| 10 | 2014 | 41 | |
| 11 | 2012 | 60 | |
| 12 | 2011 | 118 | |
| 13 | 2010 | 36 | |
| 14 | 2010 | 1 | |
| 15 | 2009 | 28 | |
| 16 | Hypoxia induces proteolysis through the ubiquitin proteasome pathway in L6 myotubes | 2007 | 1 |
| 17 | 2006 | 139 | |
| 18 | 2005 | 8 | |
| 19 | 2004 | 12 | |
| 20 | 2001 | 33 |
About Marie‐Ève Paré
Marie‐Ève Paré is a scholar working on Agronomy and Crop Science, Immunology, Complementary and alternative medicine, Biotechnology and Developmental Neuroscience, having authored 23 papers that have together received 703 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), T-cell and Retrovirus Studies (4 papers), Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers), Muscle Physiology and Disorders (3 papers), Transgenic Plants and Applications (3 papers), Cardiovascular and exercise physiology (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Agronomy and Crop Science (133 citations), Immunology (199 citations), Complementary and alternative medicine (63 citations), Ecology, Evolution, Behavior and Systematics (123 citations) and Virology (30 citations). Marie‐Ève Paré has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Richard Debigaré, François Maltais, Benoı̂t Barbeau, Jean-Michel Mesnard, Susan J. Marriott, Vincent Mainguy, Charlotte Arpin-André, Sébastien Landry, Didier Saey and Philippe Gagnon. Their work appears in journals such as Plant Biotechnology Journal, Respiratory Research, Virology, Journal of Virology and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.