Éric Paradis

1.8k citations
31 papers · 1.5k · h-index 18

Impact in

Papers in

Éric Paradis

31 papers receiving 1.5k citations

Peers

Éric Paradis
Comparison fields: 5 of 105
  • Endocrine and Autonomic Systems 227
  • Physiology 542
  • Biological Psychiatry 41
  • Neurology 110
  • Cellular and Molecular Neuroscience 180
Replace Ana Paula Arruda with:
Ana Paula Arruda Brazil
Johan F. Paulsson Sweden
Anda M. Cornea United States
Sushil K. Mahata United States
Ehud Cohen Israel
Wagner Seixas da‐Silva Brazil
Samuel Svensson Sweden
Andrew S. Davison United Kingdom
Eric J. Tschirhart Luxembourg
Maria Elisabetta Clementi Italy
Éric Paradis relative to Ana Paula Arruda Brazil Ana Paula Arruda's profile →
Citations per field
00.5×1.6×
Ana Paula Arruda · 1×
Citations per year

Countries citing papers authored by Éric Paradis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996280
2 1996263
3 2007257
4 201862
5 200562
6 200456
7 200953
8 201553
9 201948
10 200347
11 201545
12 199438
13 200437
14 201635
15 200334
16 200833
17 199531
18 200619
19 200316
20 201812

About Éric Paradis

Éric Paradis is a scholar working on Physiology, Atomic and Molecular Physics, and Optics, Cardiology and Cardiovascular Medicine, Radiation and Agronomy and Crop Science, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (6 papers), Cold Atom Physics and Bose-Einstein Condensates (6 papers), Quantum optics and atomic interactions (6 papers), Adipose Tissue and Metabolism (5 papers), Lipid metabolism and disorders (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (227 citations), Physiology (542 citations), Biological Psychiatry (41 citations), Neurology (110 citations) and Cellular and Molecular Neuroscience (180 citations). Éric Paradis has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Andrea Claire LeBlanc, Cynthia Gates GOODYER, Maria Koutroumanis, Denis Richard, Georg A. Raithel, David Alexander Anderson, Daniel Ricquier, Anna M. Coppola, Zane Bruce Andrews and Jeffrey M. Friedman. Their work appears in journals such as Physical Review A, International Journal of Radiation Oncology*Biology*Physics, Neurobiology of Disease, Frontiers in Microbiology and Cell Metabolism.

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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