David Sibrac

446 citations
6 papers · 124 · h-index 4

Impact in

    • Lipid metabolism and biosynthesis
    • Adipose Tissue and Metabolism
    • Calcium signaling and nucleotide metabolism

Papers in

    • Metabolism, Diabetes, and Cancer 1
    • Sphingolipid Metabolism and Signaling 1
    • Angiogenesis and VEGF in Cancer 1
    • Fibroblast Growth Factor Research 1

David Sibrac

6 papers receiving 123 citations

Peers

David Sibrac
Comparison fields: 5 of 42
  • Biochemistry 29
  • Physiology 14
  • Cell Biology 40
  • Molecular Biology 92
  • Physiology 34
Replace Martina Bergmann with:
Martina Bergmann Austria
Amber S. Shun-Shion United Kingdom
Iuliia Karavaeva Russia
Janet M. Stein United Kingdom
Kristof Tigyi United States
Yasuyoshi Sakai Japan
J.A. Blakely Canada
Willy J. Malaisse Canada
Daniel Lamp Germany
Diana Antunes Portugal
David Sibrac relative to Martina Bergmann Austria Martina Bergmann's profile →
Citations per field
00.5×3.6×
Martina Bergmann · 1×
Citations per year

Countries citing papers authored by David Sibrac

Since Specialization
Citations

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

Fields of papers citing papers by David Sibrac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 200262
2 200237
3 200211
4 20139
5 20143
6 20022

About David Sibrac

David Sibrac is a scholar working on Molecular Biology, Cell Biology, Physiology, Biochemistry and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 124 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (2 papers), Mast cells and histamine (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Optical Coherence Tomography Applications (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Biochemistry (29 citations), Physiology (14 citations), Cell Biology (40 citations), Molecular Biology (92 citations) and Physiology (34 citations). David Sibrac has collaborated with scholars based in France and United States. Frequent co-authors include Jean Sébastien Saulnier‐Blache, Philippe Valet, Astrid Rey, Max Lafontan, Stéphane Gesta, Marie‐Françoise Simon, Marie Simon, Sandra Grès, Jérémie Boucher and Danica Grujić. Their work appears in journals such as Journal of Lipid Research, SLAS TECHNOLOGY, Journal of Molecular Endocrinology, Journal of Biological Chemistry and Proteins Structure Function and Bioinformatics.

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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