F. Crépel

10.0k total citations · 1 hit paper
95 papers, 8.4k citations indexed

About

F. Crépel is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, F. Crépel has authored 95 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cellular and Molecular Neuroscience, 47 papers in Neurology and 36 papers in Molecular Biology. Recurrent topics in F. Crépel's work include Neuroscience and Neuropharmacology Research (75 papers), Vestibular and auditory disorders (42 papers) and Ion channel regulation and function (23 papers). F. Crépel is often cited by papers focused on Neuroscience and Neuropharmacology Research (75 papers), Vestibular and auditory disorders (42 papers) and Ion channel regulation and function (23 papers). F. Crépel collaborates with scholars based in France, United Kingdom and Japan. F. Crépel's co-authors include Étienne Audinat, Hervé Daniel, Nicole Delhaye‐Bouchaud, Jean Mariani, J.C. Hirsch, D. Jaillard, Constantino Sotelo, Françoise Condé, Satoru Otani and Robert Gardette and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

F. Crépel

95 papers receiving 8.0k citations

Hit Papers

Motor deficit and impairment of synaptic plasticity in mi... 1994 2026 2004 2015 1994 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Crépel France 49 6.3k 3.4k 2.6k 2.5k 962 95 8.4k
S.T. Kitai United States 65 10.1k 1.6× 3.4k 1.0× 3.9k 1.5× 1.1k 0.4× 537 0.6× 170 12.3k
Carolyn R. Houser United States 47 7.5k 1.2× 3.6k 1.1× 2.8k 1.1× 1.1k 0.4× 1.4k 1.5× 77 9.4k
Victoria Chan‐Palay United States 55 8.2k 1.3× 4.2k 1.3× 2.3k 0.9× 3.0k 1.2× 1.4k 1.4× 119 11.8k
James E. Vaughn United States 49 7.7k 1.2× 4.0k 1.2× 2.1k 0.8× 1.3k 0.5× 2.0k 2.1× 92 10.4k
Kunihiko Obata Japan 55 6.4k 1.0× 3.9k 1.2× 2.3k 0.9× 991 0.4× 1.6k 1.6× 167 10.6k
F. Eckenstein United States 40 4.4k 0.7× 3.0k 0.9× 1.7k 0.7× 1.0k 0.4× 775 0.8× 54 6.7k
B.H. Gähwiler Switzerland 48 7.1k 1.1× 3.7k 1.1× 2.5k 1.0× 1.1k 0.4× 1.2k 1.3× 99 8.6k
Mark Farrant United Kingdom 38 7.6k 1.2× 4.3k 1.3× 2.5k 1.0× 1.6k 0.6× 886 0.9× 68 9.1k
Craig E. Jahr United States 53 10.2k 1.6× 6.4k 1.9× 3.0k 1.2× 1.5k 0.6× 1.2k 1.2× 78 11.9k
Zoltán Nusser Hungary 49 10.9k 1.7× 5.7k 1.7× 4.5k 1.7× 2.1k 0.8× 806 0.8× 82 12.6k

Countries citing papers authored by F. Crépel

Since Specialization
Citations

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

Fields of papers citing papers by F. Crépel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Crépel

This figure shows the co-authorship network connecting the top 25 collaborators of F. Crépel. A scholar is included among the top collaborators of F. Crépel 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 F. Crépel. F. Crépel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Crépel, F. & Hervé Daniel. (2007). Developmental Changes in Agonist-Induced Retrograde Signaling at Parallel Fiber–Purkinje Cell Synapses: Role of Calcium-Induced Calcium Release. Journal of Neurophysiology. 98(5). 2550–2565. 14 indexed citations
2.
Crépel, F., et al.. (2002). Long-term potentiation in rat prefrontal slices facilitated by phased application of dopamine. European Journal of Pharmacology. 438(1-2). 115–116. 39 indexed citations
5.
Daniel, Hervé, Carole Lévénès, François Conquet, & F. Crépel. (1996). mGluR1 mutant mice as a tool to study calcium signalling and multiple innervation in the cerebellum. Journal of Physiology-Paris. 90(3-4). 171–172. 4 indexed citations
6.
Desce, J.M., et al.. (1995). Dopamine favours the emergence of long-term depression versus long-term potentiation in slices of rat prefrontal cortex. Neuroscience Letters. 188(2). 125–128. 75 indexed citations
7.
Crépel, F., Étienne Audinat, Hervé Daniel, et al.. (1994). Cellular locus of the nitric oxide-synthase involved in cerebellar long-term depression induced by high external potassium concentration. Neuropharmacology. 33(11). 1399–1405. 71 indexed citations
8.
Conquet, François, Zafar I. Bashir, Ceri H. Davies, et al.. (1994). Motor deficit and impairment of synaptic plasticity in mice lacking mGluR1. Nature. 372(6503). 237–243. 656 indexed citations breakdown →
9.
Lagny-Pourmir, Isabelle & F. Crépel. (1993). [125I]Galanin binding sites in the rat frontal lobe are guanine nucleotide-sensitive and display a low regional index of occupancy. Neuroscience Letters. 160(1). 29–32. 1 indexed citations
10.
Hirsch, J.C., Germán Barrionuevo, & F. Crépel. (1992). Homo‐ and heterosynaptic changes in efficacy are expressed in prefrontal neurons: An in vitro study in the rat. Synapse. 12(1). 82–85. 21 indexed citations
11.
Hirsch, J.C. & F. Crépel. (1991). Blockade of NMDA receptors unmasks a long-term depression in synaptic efficacy in rat prefrontal neurons in vitro. Experimental Brain Research. 85(3). 621–4. 80 indexed citations
12.
Crépel, F. & D. Jaillard. (1991). Pairing of pre‐ and postsynaptic activities in cerebellar Purkinje cells induces long‐term changes in synaptic efficacy in vitro.. The Journal of Physiology. 432(1). 123–141. 236 indexed citations
13.
Hirsch, J.C. & F. Crépel. (1990). Use‐dependent changes in synaptic efficacy in rat prefrontal neurons in vitro.. The Journal of Physiology. 427(1). 31–49. 189 indexed citations
14.
Crépel, F. & Danielle Jaillard. (1990). Protein kinases, nitric oxide and long-term depression of synapses in the cerebellum. Neuroreport. 1(2). 133–136. 172 indexed citations
15.
16.
Condé, Françoise, et al.. (1990). Afferent connections of the medial frontal cortex of the rat. A study using retrograde transport of fluorescent dyes. I. Thalamic afferents. Brain Research Bulletin. 24(3). 341–354. 114 indexed citations
17.
Pettigrew, A. G., et al.. (1988). Development of ionic conductances in neurons of neurons of the inferior olive in the rat: an in vitro study. Proceedings of the Royal Society of London. Series B, Biological sciences. 234(1275). 199–218. 19 indexed citations
18.
Penit-Soria, Jacqueline, Étienne Audinat, & F. Crépel. (1987). Excitation of rat prefrontal cortical neurons by dopamine: An in vitro electrophysiological study. Brain Research. 425(2). 263–274. 175 indexed citations
19.
Crépel, F., et al.. (1987). Alpha‐adrenergic inhibition of rat cerebellar Purkinje cells in vitro: a voltage‐clamp study.. The Journal of Physiology. 383(1). 487–498. 21 indexed citations
20.
Guastavino, J.-M., et al.. (1979). Functional redundancy of the connections between climbing fibers and cerebellar purkinje cells in the staggerer mutant mouse. Neuroscience Letters. 19. 1 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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