Eve Bigras

815 citations
7 papers · 631 · h-index 6

Impact in

Papers in

    • Coenzyme Q10 studies and effects 3
    • Mitochondrial Function and Pathology 3
    • Ion channel regulation and function 2
    • Receptor Mechanisms and Signaling 1
    • Genetics, Aging, and Longevity in Model Organisms 3

Eve Bigras

7 papers receiving 627 citations

Peers

Eve Bigras
Comparison fields: 5 of 72
  • Aging 331
  • Endocrine and Autonomic Systems 127
  • Biological Psychiatry 23
  • Physiology 145
  • Biochemistry 42
Replace Jason Cooper with:
Jason Cooper United States
Judith Benes United States
Wendy B. Iser United States
Jianke Gong China
Claire Y. Bénard Canada
Kristen M. Berendzen United States
Mobina Khericha United Kingdom
Brian J. Merry United Kingdom
Jeffrey M. Copeland United States
Michał Turek Poland
Eve Bigras relative to Jason Cooper United States Jason Cooper's profile →
Citations per field
00.5×1.5×1.9×
Jason Cooper · 1×
Citations per year

Countries citing papers authored by Eve Bigras

Since Specialization
Citations

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

Fields of papers citing papers by Eve Bigras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Eve Bigras, 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 Eve Bigras Line = papers co-authored together Eve Bigras links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2005280
2 2004183
3 200977
4 201240
5 200225
6 199923
7 20143

About Eve Bigras

Eve Bigras is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 631 indexed citations. Recurring topics across this work include Coenzyme Q10 studies and effects (3 papers), Mitochondrial Function and Pathology (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Ion channel regulation and function (2 papers), Circadian rhythm and melatonin (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Neuroscience and Neural Engineering (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Aging (331 citations), Endocrine and Autonomic Systems (127 citations), Biological Psychiatry (23 citations), Physiology (145 citations) and Biochemistry (42 citations). Eve Bigras has collaborated with scholars based in Canada and United States. Frequent co-authors include Siegfried Hekimi, Ning Jiang, Xingxing Liu, Eric A. Shoubridge, Bryan Hughes, Jérôme Lapointe, Terence E. Hébert, Hubert H.M. Van Tol, David C. Merz and Richard F. Wintle. Their work appears in journals such as The Journal of Cell Biology, The EMBO Journal, Genes & Development, Biochemistry and Journal of Biological Chemistry.

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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