Caroline Daneault

1.3k citations
37 papers · 845 · h-index 18

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 7
    • Peroxisome Proliferator-Activated Receptors 5
    • Mitochondrial Function and Pathology 5
    • Fatty Acid Research and Health 9

Caroline Daneault

36 papers receiving 840 citations

Peers

Caroline Daneault
Comparison fields: 5 of 89
  • Endocrine and Autonomic Systems 87
  • Nutrition and Dietetics 165
  • Biochemistry 69
  • Biological Psychiatry 19
  • Physiology 197
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Citations per field
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Citations per year

Countries citing papers authored by Caroline Daneault

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Daneault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023115
2 201596
3 201275
4 201146
5 201739
6 202039
7 201938
8 201835
9 201131
10 201729
11 201926
12 201525
13 202023
14 201222
15 201322
16 201421
17 201920
18 201519
19 201417
20 202417

About Caroline Daneault

Caroline Daneault is a scholar working on Molecular Biology, Nutrition and Dietetics, Physiology, Biochemistry and Clinical Biochemistry, having authored 37 papers that have together received 845 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Metabolism and Genetic Disorders (5 papers), Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Mitochondrial Function and Pathology (5 papers), Lipid metabolism and biosynthesis (4 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (87 citations), Nutrition and Dietetics (165 citations), Biochemistry (69 citations), Biological Psychiatry (19 citations) and Physiology (197 citations). Caroline Daneault has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Christine Des Rosiers, Stephanie Fulton, Thierry Alquier, Matthieu Ruiz, William C. Stanley, Cécile Hryhorczuk, Kelly A. O’Connell, Bethany H. Brown, Demetra Rodaros and Karen M. O’Shea. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, PLoS ONE, Cardiovascular Research, The FASEB Journal and Immunology and 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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