Georges Lévesque

9.3k citations
43 papers · 1.3k · h-index 18

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 9
    • DNA Repair Mechanisms 6
    • Prion Diseases and Protein Misfolding 3
    • Machine Learning in Bioinformatics 3
    • Alzheimer's disease research and treatments 15

Georges Lévesque

39 papers receiving 1.3k citations

Peers

Georges Lévesque
Comparison fields: 5 of 76
  • Physiology 778
  • Cellular and Molecular Neuroscience 233
  • Cell Biology 206
  • Pharmacology 204
  • Molecular Biology 787
Replace Hiroshi Hasegawa with:
Hiroshi Hasegawa Japan
A. L. Schwarzman Russia
Nobumasa Takasugi Japan
Elaine Waldron Germany
Mark Rapoport United States
Julie Dunys France
Valentina Venezia Italy
Kristina R. Patterson United States
J. Miller United States
Raphaëlle Pardossi‐Piquard France
Georges Lévesque relative to Hiroshi Hasegawa Japan Hiroshi Hasegawa's profile →
Citations per field
00.5×1.5×
Hiroshi Hasegawa · 1×
Citations per year

Countries citing papers authored by Georges Lévesque

Since Specialization
Citations

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

Fields of papers citing papers by Georges Lévesque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998314
2 1997112
3 199992
4 199880
5 199864
6 200564
7 201263
8 201248
9 200846
10 199843
11 200943
12 200239
13 199734
14 200333
15 200328
16 201323
17 200917
18 199817
19 200316
20 201414

About Georges Lévesque

Georges Lévesque is a scholar working on Molecular Biology, Physiology, Cell Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Wnt/β-catenin signaling in development and cancer (9 papers), DNA Repair Mechanisms (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipid metabolism and disorders (4 papers), Cancer, Lipids, and Metabolism (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Physiology (778 citations), Cellular and Molecular Neuroscience (233 citations), Cell Biology (206 citations), Pharmacology (204 citations) and Molecular Biology (787 citations). Georges Lévesque has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Peter St George‐Hyslop, Gang Yu, Paul E. Fraser, Masaki Nishimura, Lyne Lévesque, Monika Duthie, Chantal Godin, Donghong Xu, Dongmei Zhang and Yan Liang. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Blood, Atherosclerosis and Alzheimer s & Dementia.

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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