Mathieu Laplante

19.2k total citations · 6 hit papers
78 papers, 15.1k citations indexed

About

Mathieu Laplante is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Mathieu Laplante has authored 78 papers receiving a total of 15.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 41 papers in Physiology and 16 papers in Epidemiology. Recurrent topics in Mathieu Laplante's work include Adipose Tissue and Metabolism (37 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers) and Peroxisome Proliferator-Activated Receptors (13 papers). Mathieu Laplante is often cited by papers focused on Adipose Tissue and Metabolism (37 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers) and Peroxisome Proliferator-Activated Receptors (13 papers). Mathieu Laplante collaborates with scholars based in Canada, United States and Brazil. Mathieu Laplante's co-authors include David M. Sabatini, Timothy R. Peterson, Yves Deshaies, Denis Richard, Alexandre Caron, William T. Festuccia, Nathanael S. Gray, Seong A. Kang, W. Michael Kuehl and Yasemin Sancak and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mathieu Laplante

75 papers receiving 15.0k citations

Hit Papers

mTOR Signaling in Growth Control and Disease 2007 2026 2013 2019 2012 2009 2007 2009 2013 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. mTOR Signaling in Growth Control and Disease
    2012 6.7k citations Mathieu Laplante, David M. Sabatini Cell profile →
  2. mTOR signaling at a glance
    2009 1.7k citations Mathieu Laplante, David M. Sabatini profile →
  3. Obesity-associated improvements in metabolic profile through expansion of adipose tissue
    2007 1.0k citations Jayoung Kim, Mathieu Laplante et al. Journal of Clinical Investigation profile →
  4. DEPTOR Is an mTOR Inhibitor Frequently Overexpressed in Multiple Myeloma Cells and Required for Their Survival
    2009 950 citations Timothy R. Peterson, Mathieu Laplante et al. Cell profile →
  5. Regulation of mTORC1 and its impact on gene expression at a glance
    2013 533 citations Mathieu Laplante, David M. Sabatini profile →
  6. mTORC1 controls fasting-induced ketogenesis and its modulation by ageing
    2010 522 citations Timothy R. Peterson, Mathieu Laplante et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Laplante Canada 36 8.9k 3.8k 3.3k 1.6k 1.6k 78 15.1k
Orian S. Shirihai United States 63 11.2k 1.3× 3.9k 1.0× 4.4k 1.3× 981 0.6× 1.5k 0.9× 163 16.8k
Ken Inoki United States 56 12.9k 1.5× 3.0k 0.8× 3.4k 1.0× 1.6k 1.0× 2.4k 1.5× 92 17.9k
Brian N. Finck United States 64 8.8k 1.0× 5.7k 1.5× 4.0k 1.2× 1.7k 1.1× 1.7k 1.1× 191 17.9k
Ruth T. Yu United States 61 10.1k 1.1× 5.3k 1.4× 2.5k 0.8× 1.5k 1.0× 1.1k 0.7× 107 17.8k
Zoltàn Arany United States 61 9.0k 1.0× 4.7k 1.2× 1.7k 0.5× 1.1k 0.7× 1.4k 0.9× 174 16.1k
Stephen R. Farmer United States 59 7.6k 0.9× 5.3k 1.4× 3.8k 1.2× 602 0.4× 1.8k 1.1× 116 13.9k
Maria M. Mihaylova United States 16 7.5k 0.8× 2.4k 0.6× 3.8k 1.1× 623 0.4× 1.1k 0.7× 26 11.5k
Nada A. Abumrad United States 75 9.5k 1.1× 5.4k 1.4× 3.1k 1.0× 1.8k 1.2× 1.6k 1.0× 179 18.4k
Gerald W. Dorn United States 78 13.8k 1.6× 1.9k 0.5× 2.2k 0.7× 804 0.5× 1.5k 0.9× 184 19.3k
Raúl Mostoslavsky United States 53 9.8k 1.1× 6.3k 1.7× 5.4k 1.6× 1.5k 0.9× 856 0.5× 90 20.8k

Countries citing papers authored by Mathieu Laplante

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Laplante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Laplante

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Laplante. A scholar is included among the top collaborators of Mathieu Laplante 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 Mathieu Laplante. Mathieu Laplante 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.
Secco, Blandine, Michel Rochette, Mark A. Hardy, et al.. (2025). Loss of VSTM2A promotes adipocyte hypertrophy and disrupts metabolic homeostasis. Obesity. 33(3). 522–536. 1 indexed citations
2.
Garand, Chantal, et al.. (2024). ARHGEF17/TEM4 regulates the cell cycle through control of G1 progression. The Journal of Cell Biology. 224(3).
3.
Bilodeau, Laurent, Catherine Huët, Assia Belblidia, et al.. (2023). IL-6 Trans-Signaling Is Increased in Diabetes, Impacted by Glucolipotoxicity, and Associated With Liver Stiffness and Fibrosis in Fatty Liver Disease. Diabetes. 72(12). 1820–1834. 14 indexed citations
4.
Samson, Nolwenn, Renato Tadeu Nachbar, Gabriel Lachance, et al.. (2022). Adipocyte-specific Nos2 deletion improves insulin resistance and dyslipidemia through brown fat activation in diet-induced obese mice. Molecular Metabolism. 57. 101437–101437. 11 indexed citations
5.
Tremblay, Sarah, Christophe Noll, Christine M. Jones, et al.. (2022). The transcription factor hepatocyte nuclear factor 4A acts in the intestine to promote white adipose tissue energy storage. Nature Communications. 13(1). 224–224. 27 indexed citations
6.
Choi, Béatrice S.-Y., Thibault Varin, Patricia L. Mitchell, et al.. (2022). Gnotobiotic mice housing conditions critically influence the phenotype associated with transfer of faecal microbiota in a context of obesity. Gut. 72(5). 896–905. 8 indexed citations
7.
Shin, Hijai R., Lei Wang, Yusuke Sugasawa, et al.. (2022). Lysosomal GPCR-like protein LYCHOS signals cholesterol sufficiency to mTORC1. Science. 377(6612). 1290–1298. 62 indexed citations
8.
Gagné, Andréanne, Michèle Orain, Sophie Plante, et al.. (2021). ZNF768 Expression Associates with High Proliferative Clinicopathological Features in Lung Adenocarcinoma. Cancers. 13(16). 4136–4136. 9 indexed citations
9.
Agudelo, Daniel, Sophie Carter, Sébastien Levesque, et al.. (2020). Versatile and robust genome editing with Streptococcus thermophilus CRISPR1-Cas9. Genome Research. 30(1). 107–117. 54 indexed citations
10.
Marcouiller, François, et al.. (2020). Metabolic responses to intermittent hypoxia are regulated by sex and estradiol in mice. American Journal of Physiology-Endocrinology and Metabolism. 320(2). E316–E325. 16 indexed citations
11.
Lachance, Gabriel, et al.. (2018). Cytokines promote lipolysis in 3T3-L1 adipocytes through induction of NADPH oxidase 3 expression and superoxide production. Journal of Lipid Research. 59(12). 2321–2328. 19 indexed citations
12.
Caron, Alexandre, David M. Briscoe, Denis Richard, & Mathieu Laplante. (2018). DEPTOR at the Nexus of Cancer, Metabolism, and Immunity. Physiological Reviews. 98(3). 1765–1803. 63 indexed citations
13.
Caron, Alexandre, Sébastien M. Labbé, Damien Lanfray, et al.. (2015). Mediobasal hypothalamic overexpression of DEPTOR protects against high-fat diet-induced obesity. Molecular Metabolism. 5(2). 102–112. 26 indexed citations
14.
Laplante, Mathieu, et al.. (2012). Connecting mTORC1 signaling to SREBP-1 activation. Current Opinion in Lipidology. 23(3). 226–234. 211 indexed citations
15.
Laplante, Mathieu & David M. Sabatini. (2012). mTOR Signaling in Growth Control and Disease. Cell. 149(2). 274–293. 6653 indexed citations breakdown →
16.
Berthiaume, Magalie, Mathieu Laplante, William T. Festuccia, et al.. (2009). Preliminary report: pharmacologic 11β-hydroxysteroid dehydrogenase type 1 inhibition increases hepatic fat oxidation in vivo and expression of related genes in rats fed an obesogenic diet. Metabolism. 59(1). 114–117. 15 indexed citations
17.
Festuccia, William T., Mathieu Laplante, Sophie Brûlé, et al.. (2009). Rosiglitazone-induced heart remodelling is associated with enhanced turnover of myofibrillar protein and mTOR activation. Journal of Molecular and Cellular Cardiology. 47(1). 85–95. 35 indexed citations
18.
Peterson, Timothy R., Mathieu Laplante, Carson C. Thoreen, et al.. (2009). DEPTOR Is an mTOR Inhibitor Frequently Overexpressed in Multiple Myeloma Cells and Required for Their Survival. Cell. 137(5). 873–886. 950 indexed citations breakdown →
19.
Laplante, Mathieu & David M. Sabatini. (2009). An Emerging Role of mTOR in Lipid Biosynthesis. Current Biology. 19(22). R1046–R1052. 2 indexed citations
20.
Kim, Jayoung, Mathieu Laplante, Anthony V. Azzara, et al.. (2007). Obesity-associated improvements in metabolic profile through expansion of adipose tissue. Journal of Clinical Investigation. 117(9). 2621–2637. 1035 indexed citations breakdown →

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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