Frédéric Ginot

684 citations
25 papers · 532 · h-index 14

Impact in

Papers in

    • Cancer Genomics and Diagnostics 7
    • Advanced biosensing and bioanalysis techniques 9
    • Single-cell and spatial transcriptomics 4
    • CRISPR and Genetic Engineering 3
    • Molecular Biology Techniques and Applications 3

Frédéric Ginot

24 papers receiving 511 citations

Peers

Frédéric Ginot
Comparison fields: 5 of 87
  • Bioengineering 87
  • Electrochemistry 30
  • Biomedical Engineering 211
  • Molecular Biology 245
  • Cancer Research 44
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Eugene Kozlov United States
Laurent Griscom France
Miriam Huerta Mexico
Katherina Psathaki Germany
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Patrick Mark Misun Switzerland
Neil Robertson United States
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Shaoping Lv China
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Ginot

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Ginot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Ginot, 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 Frédéric Ginot Line = papers co-authored together Frédéric Ginot 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 201573
2 199156
3 200454
4 200940
5 198939
6 201236
7 201833
8 200530
9 199625
10 200222
11 199721
12 199119
13 200918
14 201815
15 200711
16 20239
17 20237
18 20197
19 20216
20 20174

About Frédéric Ginot

Frédéric Ginot is a scholar working on Cancer Research, Molecular Biology, Biomedical Engineering, Bioengineering and Oncology, having authored 25 papers that have together received 532 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), Cancer Genomics and Diagnostics (7 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Single-cell and spatial transcriptomics (4 papers), CRISPR and Genetic Engineering (3 papers), Molecular Biology Techniques and Applications (3 papers), Biosensors and Analytical Detection (3 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Bioengineering (87 citations), Electrochemistry (30 citations), Biomedical Engineering (211 citations), Molecular Biology (245 citations) and Cancer Research (44 citations). Frédéric Ginot has collaborated with scholars based in France, Israel and Switzerland. Frequent co-authors include Gilles Marchand, William M. Sant, Frédéric Mallard, Pierre Temple-Boyer, Anne‐Lise Pichard, Abdelhamid Elaı̈ssari, H. Mouaziz, C. Grégori, A Kahn and Michel Raymondjean. Their work appears in journals such as Analytical Chemistry, Biosensors and Bioelectronics, Nucleic Acids Research, Sensors and Actuators B Chemical and Human Mutation.

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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