Gabrielle Rudolf

6.5k citations
69 papers · 2.1k indexed · h-index 24

Gabrielle Rudolf

67 papers receiving 2.1k citations

Peers

Gabrielle Rudolf
Comparison fields: 5 of 91
  • Psychiatry and Mental health 658
  • Cellular and Molecular Neuroscience 708
  • Genetics 592
  • Neurology 316
  • Cognitive Neuroscience 394
Replace Pierre Szepetowski with:
Pierre Szepetowski France
Roland Coras Germany
Raffaella Cusmai Italy
Matthew R. Sarkisian United States
Meral Topçu Türkiye
A Kriss United Kingdom
Eric Leguern France
Timothy W. Yu United States
Pablo V. Gejman United States
Patrick Cossette Canada
Gabrielle Rudolf relative to Pierre Szepetowski France Pierre Szepetowski's profile →
Citations per field
00.5×1.5×2.1×
Pierre Szepetowski · 1×
Citations per year

Countries citing papers authored by Gabrielle Rudolf

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Rudolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201836
2 201081
3 201033
4 201010
5 200935
6 20091
7 20083
8 200616
9 200454
10 200452
11
Critères électro-cliniques prédictifs de l’évolution bénigne ou sévère d’une épilepsie partielleidiopathique avec pointes centro-temporales
20011
12 2001223
13 200121
14 200110
15 199754
16 19913
17 19919
18 19908
19 19908
20 19878

About Gabrielle Rudolf

Gabrielle Rudolf is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Genetics, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Epilepsy research and treatment (16 papers), Neuroscience and Neuropharmacology Research (15 papers), Genetics and Neurodevelopmental Disorders (15 papers), Photoreceptor and optogenetics research (13 papers), Retinal Development and Disorders (13 papers), Genomics and Rare Diseases (6 papers), EEG and Brain-Computer Interfaces (6 papers) and Multiple Sclerosis Research Studies (5 papers). The work is most often cited by research in Psychiatry and Mental health (658 citations), Cellular and Molecular Neuroscience (708 citations) and Genetics (592 citations). Gabrielle Rudolf has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Édouard Hirsch, Christian Marescaux, N. Wioland, Anne de Saint Martin, Pierre Szepetowski, Caroline Seegmüller, J. de Sèze, Marie-Noëlle Metz-Lutz, Catherine Kleitz and Roberta Carcangiu. Their work appears in journals such as Epilepsia, Clinical Neurophysiology, Human Molecular Genetics, Documenta Ophthalmologica and Vision Research.

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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