Daniel Gaudet

34.0k citations
418 papers · 19.0k indexed · 20 hit papers · h-index 66

Daniel Gaudet

399 papers receiving 18.5k citations

Hit Papers

Durab...162000202620082017100200300400500

Peers

Daniel Gaudet
Comparison fields: 5 of 165
  • Endocrinology, Diabetes and Metabolism 5.9k
  • Cardiology and Cardiovascular Medicine 5.6k
  • Surgery 8.7k
  • Cancer Research 2.9k
  • Genetics 2.7k
Replace Robert A. Hegele with:
Robert A. Hegele Canada
Florian Kronenberg Austria
Anne Tybjærg‐Hansen Denmark
Philip W. Shaul United States
François Cambien France
Willa A. Hsueh United States
Muredach P. Reilly United States
Eric J.G. Sijbrands Netherlands
Hitoshi Shimano Japan
Laurence Tiret France
Daniel Gaudet relative to Robert A. Hegele Canada Robert A. Hegele's profile →
Citations per field
00.5×1.7×
Robert A. Hegele · 1×
Citations per year

Countries citing papers authored by Daniel Gaudet

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gaudet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
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7 20240
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11 20231
12 20231
13 202222
14 2020196
15 202010
16 202022
17 201912
18 201964
19 201821
20 20166

About Daniel Gaudet

Daniel Gaudet is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Genetics, having authored 418 papers that have together received 19.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (171 papers), Lipid metabolism and disorders (154 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (106 papers), Cancer, Lipids, and Metabolism (78 papers), Birth, Development, and Health (26 papers), Diabetes and associated disorders (24 papers), Metabolism, Diabetes, and Cancer (23 papers) and Pharmaceutical Economics and Policy (23 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.9k citations), Cardiology and Cardiovascular Medicine (5.6k citations), Surgery (8.7k citations), Cancer Research (2.9k citations) and Genetics (2.7k citations). Daniel Gaudet has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Diane Brisson, Marie‐Claude Vohl, Thomas J. Hudson, Claude Gagné, Joel N. Hirschhorn, David Altshuler, Patrice Perron, Jean Bergeron, G Tremblay and Karine Tremblay. Their work appears in journals such as Journal of clinical lipidology, Atherosclerosis, Circulation, Diabetes and Atherosclerosis Supplements.

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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