Séverine Charles

1.3k citations
20 papers · 838 · h-index 13

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research

Papers in

    • Virus-based gene therapy research 11
    • Neurogenetic and Muscular Disorders Research 2
    • RNA Interference and Gene Delivery 4
    • Muscle Physiology and Disorders 2
    • CRISPR and Genetic Engineering 2

Séverine Charles

20 papers receiving 823 citations

Peers

Séverine Charles
Comparison fields: 5 of 60
  • Genetics 461
  • Rheumatology 98
  • Molecular Biology 448
  • Oncology 138
  • Immunology 102
Replace Fanny Collaud with:
Fanny Collaud France
Irene Gil-Fariña Germany
Marcelo Simon Sola France
Alfred B. Bahnson United States
Yoji Ogasawara Japan
Yunyu Spence United States
Emebet Mengesha United States
Karen Chu United States
S. Hardy United States
Gabriella Cotugno Italy
Séverine Charles relative to Fanny Collaud France Fanny Collaud's profile →
Citations per field
00.5×1.5×2.5×
Fanny Collaud · 1×
Citations per year

Countries citing papers authored by Séverine Charles

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Charles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018208
2 2018141
3 2017105
4 198796
5 201854
6 201650
7 201841
8 202126
9 202121
10 202020
11 202020
12 202018
13 202014
14 20218
15 20098
16 20154
17 20171
18 20161
19 20171
20 20221

About Séverine Charles

Séverine Charles is a scholar working on Genetics, Molecular Biology, Genetics, Physiology and Infectious Diseases, having authored 20 papers that have together received 838 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), RNA Interference and Gene Delivery (4 papers), Lysosomal Storage Disorders Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Muscle Physiology and Disorders (2 papers), Viral Infections and Immunology Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Genetics (461 citations), Rheumatology (98 citations), Molecular Biology (448 citations), Oncology (138 citations) and Immunology (102 citations). Séverine Charles has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Fanny Collaud, Federico Mingozzi, Laetitia van Wittenberghe, Marcelo Simon Sola, Christian Leborgne, Giuseppe Ronzitti, Alban Vignaud, Solenne Marmier, Olivier Boyer and Olivier D. Christophe. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Molecular Therapy, Gene Therapy, Neuromuscular Disorders and EMBO Molecular Medicine.

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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