Patrick Couture

16.6k total citations
276 papers, 8.6k citations indexed

About

Patrick Couture is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, Patrick Couture has authored 276 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Surgery, 95 papers in Endocrinology, Diabetes and Metabolism and 72 papers in Nutrition and Dietetics. Recurrent topics in Patrick Couture's work include Lipoproteins and Cardiovascular Health (88 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (72 papers) and Fatty Acid Research and Health (66 papers). Patrick Couture is often cited by papers focused on Lipoproteins and Cardiovascular Health (88 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (72 papers) and Fatty Acid Research and Health (66 papers). Patrick Couture collaborates with scholars based in Canada, United States and Netherlands. Patrick Couture's co-authors include Benoı̂t Lamarche, André Tremblay, Simone Lemieux, Marie‐Claude Vohl, Jean Bergeron, Sophie Desroches, Claude Gagné, Iwona Rudkowska, Charles Couillard and Allan D. Sniderman and has published in prestigious journals such as Circulation, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Patrick Couture

272 papers receiving 8.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Patrick Couture Canada	52	3.0k	2.7k	1.9k	1.8k	1.5k	276	8.6k
Philip W. Connelly Canada	64	3.5k 1.2×	3.3k 1.2×	1.8k 0.9×	2.0k 1.1×	1.9k 1.2×	289	13.7k
Bruce A. Griffin United Kingdom	40	2.1k 0.7×	2.6k 1.0×	1.8k 0.9×	2.1k 1.2×	1.3k 0.9×	127	7.7k
Francisco Pérez‐Jiménez Spain	52	2.0k 0.7×	1.9k 0.7×	2.2k 1.2×	3.2k 1.8×	2.1k 1.4×	278	9.7k
Lawrence L. Rudel United States	54	4.7k 1.6×	2.1k 0.8×	2.8k 1.5×	2.2k 1.3×	1.8k 1.2×	149	12.1k
Jeffrey S. Cohn Canada	53	3.0k 1.0×	3.9k 1.5×	1.3k 0.7×	2.0k 1.1×	649 0.4×	113	9.6k
Diane L. Tribble United States	34	2.9k 1.0×	2.0k 0.7×	1.3k 0.7×	1.0k 0.6×	1.1k 0.7×	65	7.2k
Helena Gylling Finland	50	4.7k 1.6×	1.8k 0.7×	1.7k 0.9×	1.4k 0.8×	653 0.4×	225	8.0k
Rajasekhar Ramakrishnan United States	48	2.0k 0.7×	1.5k 0.5×	1.5k 0.8×	889 0.5×	593 0.4×	118	6.4k
Hiroshige Itakura Japan	45	3.4k 1.1×	2.4k 0.9×	2.7k 1.4×	1.3k 0.8×	618 0.4×	168	9.5k
Klaus G. Parhofer Germany	48	3.5k 1.2×	3.0k 1.1×	695 0.4×	1.5k 0.9×	464 0.3×	248	8.9k

Countries citing papers authored by Patrick Couture

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Couture

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Couture

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Couture. A scholar is included among the top collaborators of Patrick Couture 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 Patrick Couture. Patrick Couture is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brassard, Didier, Pier-Luc Plante, Jacques Corbeil, et al.. (2025). Using machine learning to predict the consumption of a Mediterranean diet with untargeted metabolomics data from controlled feeding studies. Nutrition Metabolism and Cardiovascular Diseases. 36(2). 104290–104290. 1 indexed citations

Tremblay, André, Jean‐Philippe Drouin‐Chartier, Jacques Corbeil, et al.. (2024). Substitution of dietary monounsaturated fatty acids from olive oil for saturated fatty acids from lard increases low-density lipoprotein apolipoprotein B-100 fractional catabolic rate in subjects with dyslipidemia associated with insulin resistance: a randomized controlled trial. American Journal of Clinical Nutrition. 119(5). 1270–1279. 3 indexed citations

Ruel, Isabelle L., Patrick Couture, Jean Bergeron, et al.. (2023). Familial hypercholesterolemia in Canada: Investigating management patterns and clinical outcomes from the FH Canada registry. Atherosclerosis. 379. S31–S31. 1 indexed citations

Toro‐Martín, Juan de, Thibault Varin, Véronique Garneau, et al.. (2022). Raspberry consumption: identification of distinct immune-metabolic response profiles by whole blood transcriptome profiling. The Journal of Nutritional Biochemistry. 101. 108946–108946. 9 indexed citations

Toro‐Martín, Juan de, Véronique Garneau, Geneviève Pilon, et al.. (2020). Effects of Daily Raspberry Consumption on Immune-Metabolic Health in Subjects at Risk of Metabolic Syndrome: A Randomized Controlled Trial. Nutrients. 12(12). 3858–3858. 24 indexed citations

Hammad, Shatha, Peter Eck, Xiang Chen, et al.. (2019). Common Variants in Lipid Metabolism–Related Genes Associate with Fat Mass Changes in Response to Dietary Monounsaturated Fatty Acids in Adults with Abdominal Obesity. Journal of Nutrition. 149(10). 1749–1756. 9 indexed citations

Guénard, Frédéric, Simone Lemieux, Patrick Couture, et al.. (2018). Fine mapping of genome-wide association study signals to identify genetic markers of the plasma triglyceride response to an omega-3 fatty acid supplementation. American Journal of Clinical Nutrition. 109(1). 176–185. 20 indexed citations

Brassard, Didier, Benoît J. Arsenault, Maude Tessier‐Grenier, et al.. (2018). Saturated Fats from Butter but Not from Cheese Increase HDL-Mediated Cholesterol Efflux Capacity from J774 Macrophages in Men and Women with Abdominal Obesity. Journal of Nutrition. 148(4). 573–580. 22 indexed citations

Thanassoulis, George, Ken Williams, Keying Ye, et al.. (2014). Relations of Change in Plasma Levels of LDL‐C, Non‐HDL‐C and apoB With Risk Reduction From Statin Therapy: A Meta‐Analysis of Randomized Trials. Journal of the American Heart Association. 3(2). e000759–e000759. 94 indexed citations

10.

Labonté, Marie‐Ève, Mohammad M. H. Abdullah, Marie‐Claude Lépine, et al.. (2014). Dairy Product Consumption Has No Impact on Biomarkers of Inflammation among Men and Women with Low-Grade Systemic Inflammation. Journal of Nutrition. 144(11). 1760–1767. 35 indexed citations

11.

Rudkowska, Iwona, et al.. (2014). An interaction effect between glucokinase gene variation and carbohydrate intakes modulates the plasma triglyceride response to a fish oil supplementation. Genes & Nutrition. 9(3). 395–395. 6 indexed citations

12.

Labonté, Marie‐Ève, David J.A. Jenkins, Gary F. Lewis, et al.. (2013). Adding MUFA to a dietary portfolio of cholesterol-lowering foods reduces apoAI fractional catabolic rate in subjects with dyslipidaemia. British Journal Of Nutrition. 110(3). 426–436. 20 indexed citations

13.

Cormier, Hubert, Iwona Rudkowska, Frédéric Guénard, et al.. (2013). Polymorphisms in Genes Involved in the Triglyceride Synthesis Pathway and Marine Omega-3 Polyunsaturated Fatty Acid Supplementation Modulate Plasma Triglyceride Levels. Lifestyle Genomics. 6(4-5). 268–280. 10 indexed citations

14.

Labonté, Marie‐Ève, Patrick Couture, Caroline Richard, Sophie Desroches, & Benoı̂t Lamarche. (2013). Impact of dairy products on biomarkers of inflammation: a systematic review of randomized controlled nutritional intervention studies in overweight and obese adults. American Journal of Clinical Nutrition. 97(4). 706–717. 77 indexed citations

15.

Tremblay, André, et al.. (2013). Short-term, high-fat diet increases the expression of key intestinal genes involved in lipoprotein metabolism in healthy men. American Journal of Clinical Nutrition. 98(1). 32–41. 32 indexed citations

16.

Labonté, Marie‐Ève, Éric Dewailly, Marie‐Ludivine Château‐Degat, Patrick Couture, & Benoı̂t Lamarche. (2012). Population-based study of high plasma C-reactive protein concentrations among the Inuit of Nunavik. International Journal of Circumpolar Health. 71(1). 19066–19066. 20 indexed citations

17.

Hogue, Jean‐Charles, Benoı̂t Lamarche, André Tremblay, et al.. (2007). Evidence of increased secretion of apolipoprotein B-48-containing lipoproteins in subjects with type 2 diabetes. Journal of Lipid Research. 48(6). 1336–1342. 100 indexed citations

18.

Archer, W. Roodly, Sophie Desroches, Benoı̂t Lamarche, et al.. (2005). Variations in plasma apolipoprotein C-III levels are strong correlates of the triglyceride response to a high-monounsaturated fatty acid diet and a high-carbohydrate diet. Metabolism. 54(10). 1390–1397. 15 indexed citations

19.

Gaudet, Daniel, Claude Gagné, Patrice Perron, Patrick Couture, & Serena Tonstad. (1999). Ethical Issues in Molecular Screening for Heterozygous Familial Hypercholesterolemia: The Complexity of Dealing with Genetic Susceptibility to Coronary Artery Disease. Public Health Genomics. 2(1). 2–8. 10 indexed citations

20.

Lacroix, André, Pangala V. Bhat, Patrick Couture, et al.. (1987). Plasma Levels of Retinol in Cancer Patients Supplemented with Retinol. Oncology. 44(2). 108–114. 4 indexed citations

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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