Florence Frédéric

424 total citations
16 papers, 342 citations indexed

About

Florence Frédéric is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Florence Frédéric has authored 16 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Neurology and 7 papers in Molecular Biology. Recurrent topics in Florence Frédéric's work include Neuroscience and Neuropharmacology Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Florence Frédéric is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Florence Frédéric collaborates with scholars based in France, Netherlands and United States. Florence Frédéric's co-authors include Jean Mariani, Nicole Delhaye‐Bouchaud, Mohamed Doulazmi, Nadia Hadj‐Sahraoui, Karl Herrup, Hadi Zanjani, E Wollman, Colette Chianale, Charles Oliver and Francesca Capone and has published in prestigious journals such as The Journal of Comparative Neurology, Journal of Neurochemistry and European Journal of Neuroscience.

In The Last Decade

Florence Frédéric

16 papers receiving 337 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florence Frédéric France 10 171 130 82 69 54 16 342
J. Brian McCarthy United States 8 209 1.2× 252 1.9× 41 0.5× 71 1.0× 57 1.1× 8 451
Dani R. Smith United States 13 141 0.8× 128 1.0× 51 0.6× 36 0.5× 42 0.8× 16 359
Loubna Erraji-Benchekroun United States 5 194 1.1× 90 0.7× 60 0.7× 51 0.7× 25 0.5× 5 370
Ruusu Riekki Finland 6 139 0.8× 229 1.8× 42 0.5× 42 0.6× 92 1.7× 7 389
Alison L. Atkins United States 10 130 0.8× 124 1.0× 145 1.8× 65 0.9× 35 0.6× 10 402
Kuei-Sen Hsu Taiwan 9 187 1.1× 265 2.0× 49 0.6× 31 0.4× 43 0.8× 10 446
Csaba Vastagh Hungary 14 163 1.0× 138 1.1× 59 0.7× 74 1.1× 41 0.8× 26 545
Leanne M. Holt United States 10 176 1.0× 201 1.5× 152 1.9× 79 1.1× 82 1.5× 15 485
Ji-Seon Seo South Korea 8 158 0.9× 96 0.7× 57 0.7× 60 0.9× 59 1.1× 9 377
F. Adams United States 3 195 1.1× 299 2.3× 90 1.1× 42 0.6× 59 1.1× 4 459

Countries citing papers authored by Florence Frédéric

Since Specialization
Citations

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

Fields of papers citing papers by Florence Frédéric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Frédéric

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Frédéric. A scholar is included among the top collaborators of Florence Frédéric based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florence Frédéric. Florence Frédéric is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Akwa, Yvette, Mohamed Doulazmi, Vanessa Gautheron, et al.. (2011). Age-related Purkinje cell death is steroid dependent: RORα haplo-insufficiency impairs plasma and cerebellar steroids and Purkinje cell survival. AGE. 33(4). 565–578. 15 indexed citations
2.
Frédéric, Florence, et al.. (2008). Formation and maturation of parallel fiber‐purkinje cell synapses in the staggerer cerebellum ex vivo. The Journal of Comparative Neurology. 512(4). 467–477. 6 indexed citations
3.
Boukhtouche, Fatiha, Mohamed Doulazmi, Florence Frédéric, et al.. (2006). Rorα, a pivotal nuclear receptor for Purkinje neuron survival and differentiation: From development to ageing. The Cerebellum. 5(2). 97–104. 48 indexed citations
4.
Frédéric, Florence, Colette Chianale, Charles Oliver, & Jean Mariani. (2006). Enhanced endocrine response to novel environment stress and lack of corticosterone circadian rhythm in staggerer (Rora sg/sg) mutant mice. Journal of Neuroscience Research. 83(8). 1525–1532. 24 indexed citations
5.
Doulazmi, Mohamed, et al.. (2006). CEREBELLAR PURKINJE CELL LOSS IN HETEROZYGOUSRORA+/−MICE: A LONGITUDINAL STUDY. Journal of Neurogenetics. 20(1-2). 1–17. 12 indexed citations
6.
Doulazmi, Mohamed, Nadia Hadj‐Sahraoui, Florence Frédéric, & Jean Mariani. (2002). DIMINISHING PURKINJE CELL POPULATIONS IN THE CEREBELLA OF AGING HETEROZYGOUS PURKINJE CELL DEGENERATION BUT NOT HETEROZYGOUS NERVOUS MICE. Journal of Neurogenetics. 16(2). 111–123. 10 indexed citations
7.
Doulazmi, Mohamed, Florence Frédéric, Francesca Capone, et al.. (2001). A comparative study of Purkinje cells in two RORα gene mutant mice: staggerer and RORα−/−. Developmental Brain Research. 127(2). 165–174. 33 indexed citations
8.
Hadj‐Sahraoui, Nadia, Florence Frédéric, Hadi Zanjani, et al.. (2001). Progressive atrophy of cerebellar Purkinje cell dendrites during aging of the heterozygous staggerer mouse (Rora+/sg). Developmental Brain Research. 126(2). 201–209. 49 indexed citations
9.
Simon, Axelle, Claudine Savy, Florence Frédéric, et al.. (2000). Paradoxical increase of tyrosine hydroxylase-immunoreactive retinopetal fibers in the weaver mouse. Developmental Brain Research. 121(1). 113–117. 9 indexed citations
10.
Doulazmi, Mohamed, Florence Frédéric, Yolande Lemaigre‐Dubreuil, et al.. (1999). Cerebellar purkinje cell loss during life span of the heterozygous Staggerer mouse (RoraRorasg) is gender‐related. The Journal of Comparative Neurology. 411(2). 267–273. 4 indexed citations
11.
Frédéric, Florence, Thierry Chautard, Renaud Brochard, et al.. (1997). Enhanced Endocrine Response to Novel Environment Stress and Endotoxin in Lurcher Mutant Mice. Neuroendocrinology. 66(5). 341–347. 34 indexed citations
12.
Hadj‐Sahraoui, Nadia, Florence Frédéric, Hadi Zanjani, et al.. (1997). Purkinje cell loss in heterozygous staggerer mutant mice during aging. Developmental Brain Research. 98(1). 1–8. 35 indexed citations
13.
Frédéric, Florence, et al.. (1994). IL-1 and LPS induce a sexually dimorphic response of the hypothalamo-pituitary-adrenal axis in several mouse strains.. PubMed. 4(5). 321–9. 41 indexed citations
14.
Frédéric, Florence, et al.. (1992). Cell Counts of Purkinje and Inferior Olivary Neurons in the ‘Hyperspiny Purkinje Cells’ Mutant Mouse. European Journal of Neuroscience. 4(2). 127–135. 8 indexed citations
15.
Frédéric, Florence, Dominique Simon, Jean‐Louis Guénet, et al.. (1990). Glutamate Dehydrogenase in Cerebellar Mutant Mice: Gene Localization and Enzyme Activity in Different Tissues. Journal of Neurochemistry. 54(1). 23–29. 9 indexed citations
16.
Coëzy, E, et al.. (1971). Susceptibility of mice of different strains to the mammary carcinogenic action of natural and synthetic oestrogens.. PubMed. 16(5). 425–9. 5 indexed citations

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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