Jean Bergeron

4.3k citations
80 papers · 2.9k indexed · h-index 29
Topics
Lipoproteins and Cardiovascular Health (47 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers)Lipid metabolism and disorders (17 papers)
Partner nations
CanadaUnited StatesItaly

In The Last Decade

Jean Bergeron

78 papers receiving 2.8k citations

Peers

Jean Bergeron
Comparison fields: 5 of 116
  • Surgery 1.3k
  • Endocrinology, Diabetes and Metabolism 989
  • Cardiology and Cardiovascular Medicine 620
  • Molecular Biology 512
  • Physiology 479
Replace Davide Noto with:
Davide Noto Italy
Ulrich Julius Germany
Núria Plana Spain
Jean Dallongeville France
Lisa R. Tannock United States
E. Windler Germany
D.W. Erkelens Netherlands
Maureen Sampson United States
Kjetil Retterstøl Norway
David M. Capuzzi United States
Jean Bergeron relative to Davide Noto Italy Davide Noto's profile →
Citations per field
00.5×1.5×
Davide Noto · 1×
Citations per year

Countries citing papers authored by Jean Bergeron

Since Specialization
Citations

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

Fields of papers citing papers by Jean Bergeron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Bergeron

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Bergeron. A scholar is included among the top collaborators of Jean Bergeron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean Bergeron. Jean Bergeron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 3
4 1
5 1
6 6
7 5
8 115
9 5
10 22
11 189
12 41
13 48
14 100
15 15
16 27
17 44
18 29
19 16
20 175

About Jean Bergeron

Jean Bergeron is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 80 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (47 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers) and Lipid metabolism and disorders (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (989 citations), Surgery (1.3k citations) and Cardiology and Cardiovascular Medicine (620 citations). Jean Bergeron has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Patrick Couture, Benoı̂t Lamarche, Claude Gagné, André Tremblay, Nathalie Bergeron, Charles Couillard, Robert A. Hegele, Jacques Genest, Jean‐Charles Hogue and Jean‐Pierre Després. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and The Journal of Cell 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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