Raphaël Trouillon

49 papers receiving 1.8k citations

Peers

Raphaël Trouillon
Comparison fields: 5 of 109
  • Electrochemistry 499
  • Bioengineering 302
  • Biophysics 169
  • Aging 41
  • Cellular and Molecular Neuroscience 351
Replace Johan Dunevall with:
Johan Dunevall Sweden
Jin Hee Hong South Korea
Kevin D. Gillis United States
Guy W. J. Moss United Kingdom
Darren J. Michael United States
Alexander Oleinick France
Carmen Bartic Belgium
Soodabeh Majdi Sweden
Irina Svir France
Ann‐Sofie Cans Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Raphaël Trouillon

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Trouillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011226
2 2016207
3 2012157
4 2013130
5 201098
6 201276
7 201375
8 201469
9 201269
10 201448
11 201045
12 201345
13 201445
14 201343
15 200940
16 201138
17 201429
18 201329
19 201828
20 201626

About Raphaël Trouillon

Raphaël Trouillon is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Electrochemistry and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (13 papers), Electrochemical sensors and biosensors (12 papers), Analytical Chemistry and Sensors (9 papers), Neuroscience and Neural Engineering (8 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers), Lipid Membrane Structure and Behavior (7 papers), Nitric Oxide and Endothelin Effects (5 papers) and Conducting polymers and applications (5 papers). The work is most often cited by research in Electrochemistry (499 citations), Bioengineering (302 citations), Biophysics (169 citations), Aging (41 citations) and Cellular and Molecular Neuroscience (351 citations). Raphaël Trouillon has collaborated with scholars based in Sweden, Switzerland and United Kingdom. Frequent co-authors include Andrew G. Ewing, Martin A. M. Gijs, Danny O’Hare, Yuqing Lin, Gulnara Safina, Gergely Huszka, Hui Yang, Melissa K. Passarelli, Michael E. Kurczy and Jun Wang. Their work appears in journals such as Analytical Chemistry, Electrochimica Acta, RSC Advances, Microelectronic Engineering and Microsystems & Nanoengineering.

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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