Frédéric Tremblay

19 papers receiving 2.5k citations

Frédéric Tremblay's Hit Papers

A potent epigenetic editor targeting human PCSK9 for durable reduction of low-density lipoprotein cholesterol levels 2025 · 59 citations
590Years since publication1020304050

Peers

Frédéric Tremblay
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 157
  • Aging 44
  • Endocrinology, Diabetes and Metabolism 413
  • Cell Biology 314
  • Molecular Biology 1.1k
Replace Olivier Le Bacquer with:
Olivier Le Bacquer France
Pengxiang She United States
Attila Brehm Austria
Leonardo R. Silveira Brazil
Kim Anker Sjøberg Denmark
Shanghai Chen China
Clemens Fürnsinn Austria
Jianying Dong United States
Germán Perdomo Spain
Vincent P. Aguirre United States
Frédéric Tremblay relative to Olivier Le Bacquer France Olivier Le Bacquer's profile →
Citations per field
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Olivier Le Bacquer · 1×
Citations per year

Countries citing papers authored by Frédéric Tremblay

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Tremblay, 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 Frédéric Tremblay Line = papers co-authored together Frédéric Tremblay links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2001453
2 2007386
3 2005322
4 2007262
5 2001185
6 2004145
7 2001133
8 2006132
9 2020119
10 200391
11 200961
12
A potent epigenetic editor targeting human PCSK9 for durable reduction of low-density lipoprotein cholesterol levels
Hit paper breakdown →
202559
13 200557
14 200948
15 201440
16 202220
17 201217
18 201710
19 20251

About Frédéric Tremblay

Frédéric Tremblay is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology and Physiology, having authored 19 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Muscle metabolism and nutrition (5 papers), Diet, Metabolism, and Disease (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Adipose Tissue and Metabolism (3 papers), RNA Interference and Gene Delivery (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (157 citations), Aging (44 citations), Endocrinology, Diabetes and Metabolism (413 citations), Cell Biology (314 citations) and Molecular Biology (1.1k citations). Frédéric Tremblay has collaborated with scholars based in Canada, United States and Austria. Frequent co-authors include André Marette, Hélène Jacques, Charles Lavigne, Michael Krebs, Michael Roden, Ruth E. Gimeno, George Thomas, Sophie Brûlé, Xiao‐Jian Sun and Kohei Masuda. Their work appears in journals such as Endocrinology, Diabetes, Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism and Nature Communications.

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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