Mathieu Garnier

25 papers receiving 289 citations

Peers

Mathieu Garnier
Comparison fields: 5 of 87
  • Toxicology 57
  • Emergency Medicine 49
  • Pharmacology 47
  • Physiology 62
  • Hepatology 18
Replace Alexander Haubenstock with:
Alexander Haubenstock Austria
Günter A. Neuhaus Germany
Thomas Stammschulte Germany
Mel R. Clark United States
Judith Cottin France
Barbara Todaro United States
Laure Peyro‐Saint‐Paul France
Shuji Okazaki Japan
Younghwan Kim South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Garnier

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Garnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199077
2 199859
3 199130
4 198323
5 200020
6 198918
7 198311
8 200110
9 199210
10 20068
11
Effect of diosmin upon red blood cell deformability and osmotic fragility. Relationship with lipid content.
19886
12 19866
13 19845
14
[Rapid quantitative resolution of plasma and erythrocyte lipids in thin layer chromatography].
19734
15 19994
16
Plasma and erythrocyte lipid composition in normal pregnancy.
19864
17 19844
18
[Comparison of six potential serum markers of hepatic fibrosis in alcoholic disease of the liver].
19934
19 20003
20
[Urinary screening of drugs of abuse among drivers involved in road accidents].
19963

About Mathieu Garnier

Mathieu Garnier is a scholar working on Toxicology, Emergency Medicine, Pharmacology, Physiology and Pharmaceutical Science, having authored 25 papers that have together received 318 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (6 papers), Forensic Toxicology and Drug Analysis (5 papers), Cannabis and Cannabinoid Research (4 papers), Cardiac Arrest and Resuscitation (4 papers), Diabetes and associated disorders (2 papers), Lipid Membrane Structure and Behavior (2 papers), Advancements in Transdermal Drug Delivery (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Toxicology (57 citations), Emergency Medicine (49 citations), Pharmacology (47 citations), Physiology (62 citations) and Hepatology (18 citations). Mathieu Garnier has collaborated with scholars based in France, Nicaragua and United Kingdom. Frequent co-authors include Dimitris Koutsouris, Paul Elie Valensi, J R Attali, Pierre P. Marquet, Philippe Vest, Michel Lhermitte, Michel Hanss, J-L Wepierre, Benoit P. Guery and Michel Beaugrand. Their work appears in journals such as Journal of Forensic Sciences, Journal of the American College of Cardiology, Journal of Hepatology, Metabolism and The Lancet.

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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