Fleur Jeanquartier

581 citations
17 papers · 302 · h-index 11

Impact in

Papers in

    • Bioinformatics and Genomic Networks 4
    • Single-cell and spatial transcriptomics 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Cell Image Analysis Techniques 4

Fleur Jeanquartier

16 papers receiving 292 citations

Peers

Fleur Jeanquartier
Comparison fields: 5 of 100
  • Health Informatics 39
  • Modeling and Simulation 18
  • Biophysics 16
  • Neurology 23
  • Radiology, Nuclear Medicine and Imaging 60
Replace Lorenz Adlung with:
Lorenz Adlung Germany
Jasleen Grewal Canada
Meiyu Duan China
Truong Nguyen Khanh Hung Vietnam
Kevin Faust Canada
Ladislav Rampášek Canada
Luu Ho Thanh Lam Taiwan
Asher Ameli United States
Amina Bolatkan Japan
Norio Shinkai Japan
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Citations per field
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Citations per year

Countries citing papers authored by Fleur Jeanquartier

Since Specialization
Citations

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

Fields of papers citing papers by Fleur Jeanquartier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Fleur Jeanquartier, 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 Fleur Jeanquartier Line = papers co-authored together Fleur Jeanquartier links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201882
2 201548
3 202337
4 201922
5 201619
6 202217
7 202315
8 202215
9 202114
10 201912
11 202012
12 20243
13 20192
14
Visualizing Uncertainty of RNA Sequence Base Pairing Variants
20152
15 20251
16 20211
17 20240

About Fleur Jeanquartier

Fleur Jeanquartier is a scholar working on Molecular Biology, Biophysics, Artificial Intelligence, Cancer Research and Information Systems and Management, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Scientific Computing and Data Management (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Health Informatics (39 citations), Modeling and Simulation (18 citations), Biophysics (16 citations), Neurology (23 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). Fleur Jeanquartier has collaborated with scholars based in Austria, Germany and Canada. Frequent co-authors include Andreas Holzinger, Claire Jean-Quartier, Igor Jurišica, Shane O’Sullivan, Nathalie Nevejans, Michael Friebe, Ugo Pagallo, Arkadiusz Miernik, Edith Hofer and Lea T. Grinberg. Their work appears in journals such as BioData Mining, Resources Conservation and Recycling, BMC Systems Biology, BMC Bioinformatics and BMC Cancer.

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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