Éric Hajduch

6.3k citations
76 papers · 5.2k · h-index 43

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 30
    • Sphingolipid Metabolism and Signaling 21
    • Lipid Membrane Structure and Behavior 10
    • Protein Kinase Regulation and GTPase Signaling 9
    • Caveolin-1 and cellular processes 7

Éric Hajduch

76 papers receiving 5.2k citations

Peers

Éric Hajduch
Comparison fields: 5 of 110
  • Biochemistry 687
  • Physiology 1.6k
  • Cell Biology 945
  • Molecular Biology 3.1k
  • Endocrinology, Diabetes and Metabolism 575
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Joseph T. Brozinick United States
Raynald Bergeron Canada
Zhouji Chen United States
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Étienne Lefai France
Konstantin V. Kandror United States
Thomas Pulinilkunnil Canada
Belinda J. Michell Australia
Agnieszka Dobrzyń Poland
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Citations per field
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Citations per year

Countries citing papers authored by Éric Hajduch

Since Specialization
Citations

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

Fields of papers citing papers by Éric Hajduch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003306
2 1998288
3 2005287
4 2012263
5 2001234
6 2004227
7 2001194
8 2000181
9 1999152
10 2000149
11 2006148
12 2006131
13 2017111
14 1999109
15 2002106
16 2004100
17 201994
18 200993
19 201093
20 200992

About Éric Hajduch

Éric Hajduch is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Biochemistry, having authored 76 papers that have together received 5.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (30 papers), Sphingolipid Metabolism and Signaling (21 papers), Adipose Tissue and Metabolism (18 papers), Lipid Membrane Structure and Behavior (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Pancreatic function and diabetes (9 papers), Lipid metabolism and biosynthesis (8 papers) and Caveolin-1 and cellular processes (7 papers). The work is most often cited by research in Biochemistry (687 citations), Physiology (1.6k citations), Cell Biology (945 citations), Molecular Biology (3.1k citations) and Endocrinology, Diabetes and Metabolism (575 citations). Éric Hajduch has collaborated with scholars based in France, United Kingdom and Poland. Frequent co-authors include Harinder S. Hundal, Pascal Ferré, Gary J. Litherland, Fabienne Foufelle, Darren Powell, Sophie Turban, Isabelle Hainault, Isabelle Dugail, Froogh Darakhshan and Russell Hyde. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, FEBS Letters, Diabetologia and Diabetes.

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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