Éric Rhéaume

4.6k citations
104 papers · 3.7k · h-index 33

Impact in

Papers in

Éric Rhéaume

103 papers receiving 3.5k citations

Peers

Éric Rhéaume
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Behavioral Neuroscience 102
  • Reproductive Medicine 238
  • Genetics 772
  • Cell Biology 352
Replace J. Michael Mathis with:
J. Michael Mathis United States
Günter Emons Germany
Nina Heldring Sweden
Kerry S. Russell United States
Gareth I. Owen Chile
Y. Oka Japan
Kálmán Kovács Canada
Rob vanʼt Hof United Kingdom
Román Pérez-Fernández Spain
Hiroki Shima Japan
Éric Rhéaume relative to J. Michael Mathis United States J. Michael Mathis's profile →
Citations per field
00.5×2×3×3.6×
J. Michael Mathis · 1×
Citations per year

Countries citing papers authored by Éric Rhéaume

Since Specialization
Citations

This map shows the geographic impact of Éric Rhéaume'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 Rhéaume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Rhéaume more than expected).

Fields of papers citing papers by Éric Rhéaume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éric Rhéaume. 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 Rhéaume. The network helps show where Éric Rhéaume may publish in the future.

Co-authors

The 25 scholars most cited alongside Éric Rhéaume, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éric Rhéaume Line = papers co-authored together Éric Rhéaume links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991320
2 2014243
3 1992216
4 1992202
5 1991168
6 1991121
7 2001114
8 199387
9 199281
10 198978
11 201670
12
Molecular biology and genetics of the 3 beta-hydroxysteroid dehydrogenase/delta5-delta4 isomerase gene family.
199667
13 199766
14 201265
15 199760
16 199559
17 201057
18 201656
19 201051
20 199051

About Éric Rhéaume

Éric Rhéaume is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery and Cell Biology, having authored 104 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (28 papers), Hormonal and reproductive studies (16 papers), Sexual Differentiation and Disorders (15 papers), Aldose Reductase and Taurine (15 papers), Cardiac Valve Diseases and Treatments (11 papers), Lipoproteins and Cardiovascular Health (7 papers), Cholesterol and Lipid Metabolism (5 papers) and Steroid Chemistry and Biochemistry (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Behavioral Neuroscience (102 citations), Reproductive Medicine (238 citations), Genetics (772 citations) and Cell Biology (352 citations). Éric Rhéaume has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Jacques Simard, Fernand Labrie, Claude Trudel, Jean‐Claude Tardif, Huifen Zhao, Farida Mébarki, Yves Morel, Yvan de Launoit, Jean‐Claude Tardif and Céline Martel. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Materials Chemistry B, Endocrinology, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

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.

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