Mathieu Laplante

19.2k citations
78 papers · 15.1k indexed · 6 hit papers · h-index 36

Mathieu Laplante

75 papers receiving 15.0k citations

Hit Papers

Regulation of mTORC1 and its impact on gene expression at...53320072026201320192.0k4.0k6.0k

Peers

Mathieu Laplante
Comparison fields: 5 of 153
  • Aging 435
  • Physiology 3.8k
  • Molecular Biology 8.9k
  • Biochemistry 772
  • Cancer Research 1.6k
Replace Ken Inoki with:
Ken Inoki United States
Mark A. Magnuson United States
Michael Downes United States
Simon A. Hawley United Kingdom
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Maria M. Mihaylova United States
Sara C. Kozma United States
Orian S. Shirihai United States
Akiyoshi Fukamizu Japan
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Citations per field
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Citations per year

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

The 25 scholars most cited alongside Mathieu Laplante, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Laplante Line = papers co-authored together Mathieu Laplante links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20242
4 202314
5 202262
6 202211
7 20228
8 202227
9 20219
10 202054
11 201819
12 201747
13 201526
14
Regulation of mTORC1 and its impact on gene expression at a glancebreakdown →
2013533
15 2012211
16
mTOR Signaling in Growth Control and Diseasebreakdown →
20126653
17 200915
18 20092
19
Obesity-associated improvements in metabolic profile through expansion of adipose tissuebreakdown →
20071035
20 200746

About Mathieu Laplante

Mathieu Laplante is a scholar working on Physiology, Biochemistry and Endocrine and Autonomic Systems, having authored 78 papers that have together received 15.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (37 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Peroxisome Proliferator-Activated Receptors (13 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Metabolism, Diabetes, and Cancer (11 papers), Lipid metabolism and biosynthesis (9 papers), Regulation of Appetite and Obesity (7 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Aging (435 citations), Physiology (3.8k citations) and Molecular Biology (8.9k citations). Mathieu Laplante has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include David M. Sabatini, Timothy R. Peterson, Yves Deshaies, Denis Richard, Alexandre Caron, William T. Festuccia, Yasemin Sancak, Seong A. Kang, W. Michael Kuehl and Nathanael S. Gray. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetes, Scientific Reports, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Molecular Metabolism.

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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