Mayeul Collot

94 papers receiving 3.8k citations

Mayeul Collot's Hit Papers

Ultrabright and Fluorogenic Probes for Multicolor Imaging and Tracking of Lipid Droplets in Cells and Tissues 2018 · 368 citations
3680+2+5Years since publication100200300

Peers

Mayeul Collot
Comparison fields: 5 of 116
  • Biochemistry 430
  • Biophysics 305
  • Spectroscopy 808
  • Molecular Biology 2.0k
  • Organic Chemistry 728
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Marc Vendrell United Kingdom
Ángel Orte Spain
Chengwu Zhang China
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Hyun‐Woo Rhee South Korea
Xiang Zhou China
Peng R. Chen China
Qinglong Qiao China
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Citations per year

Countries citing papers authored by Mayeul Collot

Since Specialization
Citations

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

Fields of papers citing papers by Mayeul Collot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ultrabright and Fluorogenic Probes for Multicolor Imaging and Tracking of Lipid Droplets in Cells and Tissues
Hit paper breakdown →
2018368
2 2018251
3 2014230
4 2019197
5 2013186
6 2019180
7 2018133
8 2019107
9 2014103
10 201589
11 201586
12 202081
13 201481
14 201179
15 202073
16 201271
17 201071
18 201868
19 202062
20 201959

About Mayeul Collot

Mayeul Collot is a scholar working on Spectroscopy, Materials Chemistry, Molecular Biology, Organic Chemistry and Biomaterials, having authored 98 papers that have together received 3.9k indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (26 papers), Molecular Sensors and Ion Detection (20 papers), Advanced biosensing and bioanalysis techniques (17 papers), Lipid Membrane Structure and Behavior (15 papers), Nanoplatforms for cancer theranostics (11 papers), Glycosylation and Glycoproteins Research (9 papers), Nanoparticle-Based Drug Delivery (8 papers) and Photochromic and Fluorescence Chemistry (7 papers). The work is most often cited by research in Biochemistry (430 citations), Biophysics (305 citations), Spectroscopy (808 citations), Molecular Biology (2.0k citations) and Organic Chemistry (728 citations). Mayeul Collot has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Andrey S. Klymchenko, Kyong Tkhe Fam, Lydia Danglot, Jean‐Maurice Mallet, Yves Mély, Pichandi Ashokkumar, Thierry Galli, Orestis Faklaris, Peter H. Seeberger and Nicolas Anton. Their work appears in journals such as Journal of the American Chemical Society, Chemical Communications, Chemistry - A European Journal, Analytical Chemistry and Angewandte Chemie International Edition.

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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