Jean-Marc Lavoie

1.8k total citations
53 papers, 1.5k citations indexed

About

Jean-Marc Lavoie is a scholar working on Physiology, Epidemiology and Surgery. According to data from OpenAlex, Jean-Marc Lavoie has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 14 papers in Epidemiology and 13 papers in Surgery. Recurrent topics in Jean-Marc Lavoie's work include Diet and metabolism studies (18 papers), Liver Disease Diagnosis and Treatment (11 papers) and Muscle metabolism and nutrition (11 papers). Jean-Marc Lavoie is often cited by papers focused on Diet and metabolism studies (18 papers), Liver Disease Diagnosis and Treatment (11 papers) and Muscle metabolism and nutrition (11 papers). Jean-Marc Lavoie collaborates with scholars based in Canada, France and United States. Jean-Marc Lavoie's co-authors include Rémi Rabasa‐Lhoret, Richard R. Montpetit, Martin Brochu, Denis Prud’homme, Éric Doucet, Irène Strychar, Marie‐Soleil Gauthier, Karine Couturier, Jean-Gilles Latour and Virginie Messier and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Journal of Applied Physiology.

In The Last Decade

Jean-Marc Lavoie

53 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean-Marc Lavoie Canada 20 669 424 380 229 188 53 1.5k
Naziha Kaabachi Tunisia 21 392 0.6× 219 0.5× 276 0.7× 105 0.5× 80 0.4× 125 1.6k
Koichiro Azuma Japan 24 1.2k 1.8× 571 1.3× 359 0.9× 119 0.5× 210 1.1× 47 2.2k
Britt Christensen Denmark 24 596 0.9× 266 0.6× 274 0.7× 144 0.6× 58 0.3× 53 1.6k
Sarah T. Henes United States 10 789 1.2× 173 0.4× 346 0.9× 68 0.3× 353 1.9× 20 1.5k
Andreas Katsiaras United States 5 635 0.9× 206 0.5× 193 0.5× 57 0.2× 82 0.4× 5 1.0k
Eva Toft Sweden 24 942 1.4× 366 0.9× 512 1.3× 60 0.3× 124 0.7× 54 1.8k
J. A. Tuominen Finland 20 510 0.8× 215 0.5× 430 1.1× 50 0.2× 159 0.8× 30 1.3k
Tracy J. Horton United States 21 706 1.1× 116 0.3× 207 0.5× 254 1.1× 219 1.2× 26 1.4k
Luis Forga Spain 16 608 0.9× 209 0.5× 328 0.9× 39 0.2× 117 0.6× 40 1.2k

Countries citing papers authored by Jean-Marc Lavoie

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marc Lavoie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Marc Lavoie

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Marc Lavoie. A scholar is included among the top collaborators of Jean-Marc Lavoie 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-Marc Lavoie. Jean-Marc Lavoie 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
1.
Sock, Émilienne T. Ngo, et al.. (2020). Two weeks of western diet disrupts liver molecular markers of cholesterol metabolism in rats. Lipids in Health and Disease. 19(1). 192–192. 9 indexed citations
2.
Messier, Virginie, Marie-Ève Lavoie, Martin Brochu, et al.. (2018). A one-year resistance training program following weight loss has no significant impact on body composition and energy expenditure in postmenopausal women living with overweight and obesity. Physiology & Behavior. 189. 99–106. 21 indexed citations
3.
Lavoie, Jean-Marc, et al.. (2016). GLUT2 proteins and PPARγ transcripts levels are increased in liver of ovariectomized rats: reversal effects of resistance training. Physical Activity and Nutrition. 20(2). 51–57. 14 indexed citations
4.
5.
Sock, Émilienne T. Ngo, et al.. (2015). High dietary cholesterol and ovariectomy in rats repress gene expression of key markers of VLDL and bile acid metabolism in liver. Lipids in Health and Disease. 14(1). 125–125. 6 indexed citations
6.
McNeil, Jessica, Alexander Schwartz, Rémi Rabasa‐Lhoret, et al.. (2014). Changes in Leptin and Peptide YY Do Not Explain the Greater-Than-Predicted Decreases in Resting Energy Expenditure After Weight Loss. The Journal of Clinical Endocrinology & Metabolism. 100(3). E443–E452. 23 indexed citations
7.
St-Onge, Maxime, Rémi Rabasa‐Lhoret, Irène Strychar, et al.. (2012). Impact of energy restriction with or without resistance training on energy metabolism in overweight and obese postmenopausal women. Menopause The Journal of The North American Menopause Society. 20(2). 194–201. 16 indexed citations
8.
Lavoie, Marie-Ève, May Faraj, Irène Strychar, et al.. (2012). Synergistic associations of physical activity and diet quality on cardiometabolic risk factors in overweight and obese postmenopausal women. British Journal Of Nutrition. 109(4). 605–614. 20 indexed citations
9.
Prud’homme, Denis, Donghao Wang, Marek Jankowski, et al.. (2009). Exercise training decreases hepatic SCD-1 gene expression and protein content in rats. Molecular and Cellular Biochemistry. 335(1-2). 291–299. 20 indexed citations
10.
Paquette, Amélie, et al.. (2009). Resistance training attenuates fat mass regain after weight loss in ovariectomized rats. Maturitas. 64(1). 52–57. 17 indexed citations
11.
Messier, Virginie, Antony D. Karelis, M Robillard, et al.. (2009). Metabolically healthy but obese individuals: relationship with hepatic enzymes. Metabolism. 59(1). 20–24. 100 indexed citations
12.
Lavoie, Jean-Marc, Raynald Bergeron, & Martin G. Latour. (2005). Regulatory Impact of Intra-Hepatic Carbohydrate and Lipid Metabolism. Canadian Journal of Applied Physiology. 30(3). 282–291. 2 indexed citations
13.
Bélanger, Patrice C., et al.. (2003). Effects of inducing physiological hyperglucagonemia on metabolic responses to exercise. European Journal of Applied Physiology. 89(1). 8–13. 1 indexed citations
14.
Ghanbari–Niaki, Abbass, et al.. (1999). Effects of Phosphate Injection on Metabolic and Hormonal Responses to Exercise in Fructose-Injected Rats. Physiology & Behavior. 67(5). 747–752. 11 indexed citations
15.
Bergeron, Raynald, et al.. (1997). Effects of dietary manipulations and glucose infusion on glucagon response during exercise in rats. Journal of Applied Physiology. 83(1). 148–152. 7 indexed citations
16.
Trabelsi, Fethi, et al.. (1996). Nutritional status influences the insulin response produced by acute hepatic vagotomy. Physiology & Behavior. 60(3). 855–860. 3 indexed citations
17.
Warren, C. F. S., et al.. (1995). Relation vitesse, fréquence de cycle de bras et distance par cycle de bras en natation. Application à l'entraînement. Staps. 16(37). 43–51. 2 indexed citations
18.
Trabelsi, Fethi, et al.. (1995). Effect of inhibition of gluconeogenesis on arginine-induced insulin secretion. Physiology & Behavior. 57(4). 797–802. 6 indexed citations
19.
Leone, Mario, et al.. (1987). Rétrospective et prospective de l'évaluation de la puissance aérobie maximale en natation. Staps. 8(15). 5–16. 1 indexed citations
20.
Montpetit, Richard R., L Léger, Jean-Marc Lavoie, & Georges Cazorla. (1981). $$\dot VO_2 $$ peak during free swimming using the backward extrapolation of the O2 recovery curve. European Journal of Applied Physiology. 47(4). 385–391. 57 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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