Raphaëlle Luisier

1.0k citations
16 papers · 420 · h-index 9

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • RNA Research and Splicing 6
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 3
    • RNA regulation and disease 2
    • Epigenetics and DNA Methylation 1
    • Amyotrophic Lateral Sclerosis Research 6

Raphaëlle Luisier

15 papers receiving 414 citations

Peers

Raphaëlle Luisier
Comparison fields: 5 of 56
  • Neurology 195
  • Genetics 134
  • Molecular Biology 272
  • Neurology 27
  • Aging 6
Replace Roland Kirchner with:
Roland Kirchner Germany
Kaouther Ajroud United States
William Tsao United States
Monica Bucchia Italy
Huadong Fan China
Valentina Melzi Italy
Jamie S. Mitchell United Kingdom
Grace E. Lidgerwood Australia
Ione Meyer United Kingdom
M. Rebecca Glineburg United States
Raphaëlle Luisier relative to Roland Kirchner Germany Roland Kirchner's profile →
Citations per field
00.5×10×16.5×
Roland Kirchner · 1×
Citations per year

Countries citing papers authored by Raphaëlle Luisier

Since Specialization
Citations

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

Fields of papers citing papers by Raphaëlle Luisier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019111
2 2018105
3 200945
4 202336
5 201427
6 202125
7 202121
8 201414
9 202210
10 20256
11 20216
12 20215
13 20205
14 20243
15 20251
16 20250

About Raphaëlle Luisier

Raphaëlle Luisier is a scholar working on Molecular Biology, Neurology, Genetics, Oncology and Biomedical Engineering, having authored 16 papers that have together received 420 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (6 papers), RNA Research and Splicing (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers), RNA regulation and disease (2 papers), Cellular Mechanics and Interactions (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Neurology (195 citations), Genetics (134 citations), Molecular Biology (272 citations), Neurology (27 citations) and Aging (6 citations). Raphaëlle Luisier has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Rickie Patani, Giulia E. Tyzack, Nicholas M. Luscombe, Doaa M. Taha, Jamie S. Mitchell, Linda Greensmith, Jia Newcombe, Jernej Ule, Ione Meyer and Martin A. M. Gijs. Their work appears in journals such as Nature Communications, Brain, Nature Reviews Molecular Cell Biology, Neuropathology and Applied Neurobiology and Microelectronic Engineering.

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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