Frédéric Couture

772 citations
38 papers · 597 · h-index 14

Impact in

Papers in

    • Ubiquitin and proteasome pathways 8
    • Protein Degradation and Inhibitors 4
    • Chemical Synthesis and Analysis 4
    • Cancer-related gene regulation 4
    • Peptidase Inhibition and Analysis 14

Frédéric Couture

34 papers receiving 587 citations

Peers

Frédéric Couture
Comparison fields: 5 of 77
  • Pharmaceutical Science 50
  • Cell Biology 109
  • Cancer Research 87
  • Oncology 157
  • Molecular Biology 358
Replace Earl G. Adams with:
Earl G. Adams United States
Siddhartha Dutta Gupta India
Leiming Xu China
Hoi Yee Chow Hong Kong
Ouri Schwob Israel
Meike Müller Germany
Masahiro Yamauchi Japan
Masanori Kitahara Japan
Yuchen Jiang China
Felix Boakye‐Agyeman United States
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Couture

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Couture

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201570
2 201155
3 201251
4 201240
5 201735
6 202232
7 201529
8 201329
9 201427
10 202026
11 202126
12 201325
13 202114
14 202214
15 201613
16 201412
17 202212
18 201711
19 201710
20 20199

About Frédéric Couture

Frédéric Couture is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Organic Chemistry and Dermatology, having authored 38 papers that have together received 597 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (14 papers), Ubiquitin and proteasome pathways (8 papers), Prostate Cancer Treatment and Research (6 papers), Protein Degradation and Inhibitors (4 papers), Chemical Synthesis and Analysis (4 papers), Cancer-related gene regulation (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Probiotics and Fermented Foods (3 papers). The work is most often cited by research in Pharmaceutical Science (50 citations), Cell Biology (109 citations), Cancer Research (87 citations), Oncology (157 citations) and Molecular Biology (358 citations). Frédéric Couture has collaborated with scholars based in Canada, United States and Poland. Frequent co-authors include Robert Day, Anna Kwiatkowska, Roxane Desjardins, François D’Anjou, Yves L. Dory, Christine Levesque, Witold Neugebauer, Brigitte Guérin, François Boudreau and Muriel Subirade. Their work appears in journals such as Journal of Medicinal Chemistry, Scientific Reports, Neoplasia, Oncotarget and European Journal of Cell Biology.

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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