Stéphanie Ratté

1.7k citations
29 papers · 1.2k · h-index 16

Impact in

Papers in

Stéphanie Ratté

27 papers receiving 1.2k citations

Peers

Stéphanie Ratté
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 614
  • Neurology 253
  • Cognitive Neuroscience 524
  • Statistical and Nonlinear Physics 168
  • Sensory Systems 44
Replace Jun-Ling Xing with:
Jun-Ling Xing China
Pascal Benquet France
San-Jue Hu China
Caroline E. Geisler United States
Ilya A. Fleidervish Israel
David J. Mogul United States
H. R. Lüscher Switzerland
Simon B. Colling United Kingdom
Aleksey V. Zaitsev Russia
Jason W. Middleton United States
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Citations per field
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Citations per year

Countries citing papers authored by Stéphanie Ratté

Since Specialization
Citations

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

Fields of papers citing papers by Stéphanie Ratté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002290
2 2008120
3 2013113
4 200695
5 200390
6 201261
7 201555
8 201148
9 201444
10 201941
11 201238
12 201936
13
Selective degeneration and synaptic reorganization of hippocampal interneurons in a chronic model of temporal lobe epilepsy.
200623
14 201117
15 201516
16 202315
17 201814
18 201913
19 201711
20 20248

About Stéphanie Ratté

Stéphanie Ratté is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Physiology and Statistical and Nonlinear Physics, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Pain Mechanisms and Treatments (8 papers), Ion channel regulation and function (7 papers), stochastic dynamics and bifurcation (5 papers), Neurological diseases and metabolism (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (614 citations), Neurology (253 citations), Cognitive Neuroscience (524 citations), Statistical and Nonlinear Physics (168 citations) and Sensory Systems (44 citations). Stéphanie Ratté has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Steven A. Prescott, Yves De Koninck, Terrence J. Sejnowski, John Collinge, John G. R. Jefferys, Erik De Schutter, Sungho Hong, Emmanuel A. Asante, Jacqueline M. Linehan and Ian Gowland. Their work appears in journals such as Journal of Neuroscience, eLife, Brain stimulation, Current Opinion in Neurobiology and The Journal of Physiology.

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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