Florence Noël

4.1k citations
48 papers · 1.1k · h-index 19

Impact in

Papers in

Florence Noël

48 papers receiving 1.1k citations

Peers

Florence Noël
Comparison fields: 5 of 125
  • Developmental Neuroscience 56
  • Cellular and Molecular Neuroscience 248
  • Clinical Biochemistry 52
  • Molecular Biology 395
  • Nature and Landscape Conservation 63
Replace E. Ann Ellis with:
E. Ann Ellis United States
W. Breipohl Germany
Charles E. Mays United States
Elisa Maffioli Italy
Nanette M. Nascone‐Yoder United States
Andrea Affuso Italy
Nancy D. Moncrief United States
R. Takahashi Japan
Andrew Dodd New Zealand
Yûkô Takeuchi Japan
Florence Noël relative to E. Ann Ellis United States E. Ann Ellis's profile →
Citations per field
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Citations per year

Countries citing papers authored by Florence Noël

Since Specialization
Citations

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

Fields of papers citing papers by Florence Noël

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998183
2 2012110
3 199484
4 199172
5 201057
6 201154
7 200940
8 200732
9 199932
10 199330
11 199729
12 200023
13 199822
14
Ex vivo gene delivery of platelet-derived growth factor increases 0-2A progenitors in adult rat spinal cord.
199622
15 200321
16 200419
17 200019
18 199818
19 196318
20 199518

About Florence Noël

Florence Noël is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Ecology, Evolution, Behavior and Systematics and Physiology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (8 papers), Neurobiology and Insect Physiology Research (5 papers), Nanoparticles: synthesis and applications (5 papers), Ion channel regulation and function (5 papers), Genetic diversity and population structure (4 papers), Mitochondrial Function and Pathology (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ecology and Vegetation Dynamics Studies (3 papers). The work is most often cited by research in Developmental Neuroscience (56 citations), Cellular and Molecular Neuroscience (248 citations), Clinical Biochemistry (52 citations), Molecular Biology (395 citations) and Nature and Landscape Conservation (63 citations). Florence Noël has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Philip J. Tofilon, Véronique Trézéguet, Gérard Brandolin, Christelle Fiore, Stéphane Lucas, Olivier Toussaint, Jean‐Pascal Piret, Jorge Mejia, Agnès Le Saux and Nathalie Machon. Their work appears in journals such as Nanotoxicology, Neuroreport, Conservation Genetics, Journal of Electronic Materials and Biological Conservation.

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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