Michaël Méret

973 citations
17 papers · 769 · h-index 14

Impact in

Papers in

    • Plant biochemistry and biosynthesis 4
    • Plant Gene Expression Analysis 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Adipose Tissue and Metabolism 3

Michaël Méret

17 papers receiving 760 citations

Peers

Michaël Méret
Comparison fields: 5 of 96
  • Plant Science 333
  • Geriatrics and Gerontology 22
  • Biochemistry 36
  • Molecular Biology 363
  • Biochemistry 34
Replace Emanuela Blanco with:
Emanuela Blanco Italy
Maria Amélia Amorim Portugal
Young‐Gyu Kang South Korea
Jeffrey C. Waller United States
Mario Soccio Italy
Bingxian Yang China
Brian K. Kristensen Denmark
Nadia Mulinacci Italy
Yuki Nakano Japan
Michaël Méret relative to Emanuela Blanco Italy Emanuela Blanco's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michaël Méret

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Méret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011158
2 2017109
3 201664
4 201863
5 201045
6 201944
7 201541
8 201541
9 201740
10 201737
11 201435
12 201635
13 201326
14 201513
15 200811
16 20145
17 20092

About Michaël Méret

Michaël Méret is a scholar working on Molecular Biology, Physiology, Plant Science, Organic Chemistry and Pharmacology, having authored 17 papers that have together received 769 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (4 papers), Adipose Tissue and Metabolism (3 papers), Plant Gene Expression Analysis (2 papers), Lipid metabolism and biosynthesis (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Computational Drug Discovery Methods (2 papers), Synthetic Organic Chemistry Methods (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Plant Science (333 citations), Geriatrics and Gerontology (22 citations), Biochemistry (36 citations), Molecular Biology (363 citations) and Biochemistry (34 citations). Michaël Méret has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Lothar Willmitzer, Jan Lisec, Yariv Brotman, Ada Viterbo, I. Chet, Aleksandra Skirycz, Sylwia Kierszniowska, Zoran Nikoloski, Pierre Brat and Clemens A. Schmitt. Their work appears in journals such as PLoS ONE, BMC Plant Biology, Microbiology, Molecular Metabolism and Journal of Mass Spectrometry.

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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