Robert Clément

886 citations
29 papers · 739 · h-index 16

Impact in

Papers in

Robert Clément

29 papers receiving 717 citations

Peers

Robert Clément
Comparison fields: 5 of 74
  • Geriatrics and Gerontology 68
  • Cardiology and Cardiovascular Medicine 324
  • Immunology and Allergy 42
  • Developmental Neuroscience 26
  • Physiology 151
Replace Hugues Gosselin with:
Hugues Gosselin Canada
Jingzang Tao United States
Mikhail A. Kolpakov United States
Shigeaki Kaga Japan
Pauline de Zeeuw Belgium
Delphine Baetz France
Wenfeng Miao United States
Peter Mirtschink Germany
Kazutaka Ueda Japan
Robert Clément relative to Hugues Gosselin Canada Hugues Gosselin's profile →
Citations per field
00.5×1.5×1.8×
Hugues Gosselin · 1×
Citations per year

Countries citing papers authored by Robert Clément

Since Specialization
Citations

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

Fields of papers citing papers by Robert Clément

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Clément, 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 Robert Clément Line = papers co-authored together Robert Clément links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200892
2 200157
3 200851
4 200551
5 200550
6 198949
7 200239
8 200739
9 200739
10 200436
11 200729
12 201028
13 200322
14 200221
15 200317
16 200915
17 200714
18 200613
19 199013
20 200910

About Robert Clément

Robert Clément is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Physiology, having authored 29 papers that have together received 739 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (11 papers), Nerve injury and regeneration (5 papers), Heart Failure Treatment and Management (5 papers), Menopause: Health Impacts and Treatments (4 papers), Signaling Pathways in Disease (3 papers), Cardiovascular Disease and Adiposity (3 papers), Renin-Angiotensin System Studies (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Geriatrics and Gerontology (68 citations), Cardiology and Cardiovascular Medicine (324 citations), Immunology and Allergy (42 citations), Developmental Neuroscience (26 citations) and Physiology (151 citations). Robert Clément has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hugues Gosselin, Angelino Calderone, Viviane El‐Helou, Louis Villeneuve, Claude Lajoie, Louis P. Perrault, Jean-Gilles Latour, M. de Lorgeril, Nathalie Lapointe and Jean‐Lucien Rouleau. Their work appears in journals such as Journal of Cellular Physiology, Canadian Journal of Physiology and Pharmacology, Journal of Applied Physiology, British Journal of Pharmacology and Journal of Pharmacology and Experimental Therapeutics.

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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