Michaël Trichet

683 citations
21 papers · 509 · h-index 11

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Lipid Membrane Structure and Behavior 3
    • Fungal and yeast genetics research 2
    • Plant Reproductive Biology 2
    • Cellular transport and secretion 4

Michaël Trichet

20 papers receiving 505 citations

Peers

Michaël Trichet
Comparison fields: 5 of 93
  • Aging 52
  • Cell Biology 119
  • Biomaterials 91
  • Physiology 29
  • Neurology 36
Replace C Molina with:
C Molina United Kingdom
Rongying Zhang China
Dina Aggad France
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Anna Szlachcic Poland
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Paweł Stocki United Kingdom
Michaël Trichet relative to C Molina United Kingdom C Molina's profile →
Citations per field
00.5×1.5×2×2.4×
C Molina · 1×
Citations per year

Countries citing papers authored by Michaël Trichet

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Trichet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014116
2 201588
3 201871
4 201936
5 201534
6 202133
7 201430
8 202120
9 201616
10 202214
11 201212
12 202310
13 20248
14 20207
15 20236
16 20223
17 20142
18 20171
19 20241
20 20221

About Michaël Trichet

Michaël Trichet is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Genetics and Materials Chemistry, having authored 21 papers that have together received 509 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Pickering emulsions and particle stabilization (3 papers), Lipid Membrane Structure and Behavior (3 papers), Fungal and yeast genetics research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Fish Ecology and Management Studies (2 papers), Plant Reproductive Biology (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (52 citations), Cell Biology (119 citations), Biomaterials (91 citations), Physiology (29 citations) and Neurology (36 citations). Michaël Trichet has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Béatrice Satiat‐Jeunemaître, Marion Manil-Ségalen, Claire Boulogne, Christophe Lefebvre, Renaud Legouis, Christine Ménager, Hélène Marie, Laurent Lemaire, Sylviane Lesieur and Ghislaine Frébourg. Their work appears in journals such as International Journal of Pharmaceutics, Developmental Cell, Journal of Morphology, The EMBO Journal and Human Molecular Genetics.

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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