Line Dufresne

1.7k total citations · 1 hit paper
26 papers, 814 citations indexed

About

Line Dufresne is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Line Dufresne has authored 26 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 10 papers in Cardiology and Cardiovascular Medicine and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Line Dufresne's work include Lipoproteins and Cardiovascular Health (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Cardiac Valve Diseases and Treatments (4 papers). Line Dufresne is often cited by papers focused on Lipoproteins and Cardiovascular Health (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Cardiac Valve Diseases and Treatments (4 papers). Line Dufresne collaborates with scholars based in Canada, United States and Iceland. Line Dufresne's co-authors include Séverine Vermeire, Gary Wild, George Thanassoulis, James C. Engert, Albert Cohen, Alain Bitton, Maida Sewitch, Pierre Paré, Alain Bitton and M Edwardes and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Gut.

In The Last Decade

Line Dufresne

23 papers receiving 797 citations

Hit Papers

Discordance among apoB, non–high-density lipoprotein chol... 2024 2026 2025 2024 10 20 30 40

Peers

Line Dufresne
Comparison fields: 5 of 88
  • Genetics 385
  • Surgery 345
  • Epidemiology 287
  • Immunology 177
  • Cardiology and Cardiovascular Medicine 139
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Citations per field, relative to Line Dufresne
Line Dufresne · 1×
Citations per year, relative to Line Dufresne
Line Dufresne · 1×

Countries citing papers authored by Line Dufresne

Since Specialization
Citations

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

Fields of papers citing papers by Line Dufresne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Line Dufresne

This figure shows the co-authorship network connecting the top 25 collaborators of Line Dufresne. A scholar is included among the top collaborators of Line Dufresne 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 Line Dufresne. Line Dufresne 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
# Work Indexed citations
1 2
2 0
3
Discordance among apoB, non–high-density lipoprotein cholesterol, and triglycerides: implications for cardiovascular prevention breakdown →
40
4 9
5 4
6 10
7 9
8 14
9 2
10 25
11 43
12 33
13 9
14 2
15 0
16 8
17 198
18 58
19 221
20 10

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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