Sandra Grès

4.0k citations
44 papers · 2.9k · h-index 26

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 15
    • Microbial metabolism and enzyme function 7
    • Peroxisome Proliferator-Activated Receptors 3
    • Lipid metabolism and biosynthesis 8
    • Biochemical Acid Research Studies 5

Sandra Grès

44 papers receiving 2.8k citations

Peers

Sandra Grès
Comparison fields: 5 of 106
  • Biochemistry 363
  • Cell Biology 592
  • Physiology 133
  • Molecular Biology 1.7k
  • Hematology 207
Replace Diana Mechtcheriakova with:
Diana Mechtcheriakova Austria
О. H. Minchenko Ukraine
Takashi Murate Japan
Elizabeth O. Harrington United States
Jean-Marc Herbert France
Yang‐Sook Chun South Korea
Lucia Magnelli Italy
Bishuang Cai United States
Philip M. Bauer United States
Sandra Grès relative to Diana Mechtcheriakova Austria Diana Mechtcheriakova's profile →
Citations per field
00.5×3.7×
Diana Mechtcheriakova · 1×
Citations per year

Countries citing papers authored by Sandra Grès

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Grès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004362
2 2004338
3 2003207
4 2001186
5 2001173
6 2011154
7 2005123
8 2008117
9 2009111
10 2010104
11 200191
12 201381
13 201374
14 200761
15 201557
16 201254
17 200253
18 200549
19 201448
20 201142

About Sandra Grès

Sandra Grès is a scholar working on Molecular Biology, Biochemistry, Physiology, Cell Biology and Cancer Research, having authored 44 papers that have together received 2.9k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (15 papers), Lipid metabolism and biosynthesis (8 papers), Microbial metabolism and enzyme function (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Biochemical Acid Research Studies (5 papers), Adipose Tissue and Metabolism (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Biochemistry (363 citations), Cell Biology (592 citations), Physiology (133 citations), Molecular Biology (1.7k citations) and Hematology (207 citations). Sandra Grès has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Jean Sébastien Saulnier‐Blache, Philippe Clézardin, Claire‐Marie Serre, Olivier Peyruchaud, Valérie Marin, Catherine Farnarier, Gilles Kaplanski, Ahmed Boucharaba, Jean‐Claude Bordet and Julien Guglielmi. Their work appears in journals such as Journal of Physiology and Biochemistry, Journal of Biological Chemistry, Biochimie, Metabolism and Inflammation Research.

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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