Édith Le Floch

577 citations
23 papers · 284 · h-index 9

Impact in

Papers in

    • Gene expression and cancer classification 5
    • Bioinformatics and Genomic Networks 5
    • Genetic Associations and Epidemiology 5
    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 2
    • Forensic and Genetic Research 1

Édith Le Floch

22 papers receiving 280 citations

Peers

Édith Le Floch
Comparison fields: 5 of 79
  • Computational Mathematics 2
  • Biological Psychiatry 7
  • Cognitive Neuroscience 42
  • Genetics 48
  • Nephrology 10
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Citations per field
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Citations per year

Countries citing papers authored by Édith Le Floch

Since Specialization
Citations

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

Fields of papers citing papers by Édith Le Floch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Édith Le Floch. 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 Édith Le Floch. The network helps show where Édith Le Floch may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201281
2 201959
3 201630
4 202020
5 202113
6 201813
7 201912
8 202010
9 20218
10 20227
11 20207
12 20234
13 20233
14 20223
15 20113
16 20213
17 20212
18 20212
19 20251
20 20181

About Édith Le Floch

Édith Le Floch is a scholar working on Molecular Biology, Genetics, Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 284 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (5 papers), Genetic Associations and Epidemiology (5 papers), Genetic and phenotypic traits in livestock (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Forensic and Genetic Research (1 paper) and Case Reports on Hematomas (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Biological Psychiatry (7 citations), Cognitive Neuroscience (42 citations), Genetics (48 citations) and Nephrology (10 citations). Édith Le Floch has collaborated with scholars based in France, Austria and Portugal. Frequent co-authors include Florence Mauger, Jean‐François Deleuze, Jean‐François Deleuze, Vincent Frouin, Thomas Bourgeron, Philippe Pinel, Bertrand Thirion, Antonio Moreno, Arthur Tenenhaus and Jean‐Baptiste Poline. Their work appears in journals such as Journal of the American Heart Association, Bioinformatics, Hypertension, Briefings in Bioinformatics and International Journal of Legal Medicine.

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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