Camille Charbonnier

6.0k citations
23 papers · 902 indexed · 1 hit paper · h-index 12

Camille Charbonnier

21 papers receiving 893 citations

Hit Papers

Revisiting Li-Fraumeni Syndrome From TP53 Mutation Carriers4672015202620182022100200300400

Peers

Camille Charbonnier
Comparison fields: 5 of 76
  • Cancer Research 190
  • Oncology 294
  • Genetics 239
  • Nephrology 49
  • Neurology 94
Replace Martin P. Powers with:
Martin P. Powers United States
Alexa Kidd New Zealand
Sarah K. Harten United Kingdom
Suzanne Lam Netherlands
Erika Peverelli Italy
Naoshi Obara Japan
Kristina Lagerstedt‐Robinson Sweden
Minjie Luo United States
John Garcia United States
Filippo Calzolari Italy
Camille Charbonnier relative to Martin P. Powers United States Martin P. Powers's profile →
Citations per field
00.5×3.2×
Martin P. Powers · 1×
Citations per year

Countries citing papers authored by Camille Charbonnier

Since Specialization
Citations

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

Fields of papers citing papers by Camille Charbonnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20246
4 20242
5 20230
6 20226
7 202218
8 20209
9 201971
10 201917
11 201812
12 201829
13 201728
14 201628
15 20161
16
Revisiting Li-Fraumeni Syndrome From TP53 Mutation Carriersbreakdown →
2015467
17 201574
18 20152
19 201218
20
Clinical characterization of imuthiol.
198611

About Camille Charbonnier

Camille Charbonnier is a scholar working on Genetics, Physiology and Statistics and Probability, having authored 23 papers that have together received 902 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Genetics and Neurodevelopmental Disorders (5 papers), Genomics and Rare Diseases (4 papers), Bioinformatics and Genomic Networks (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Cerebrovascular and genetic disorders (3 papers), Medical Imaging and Pathology Studies (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Cancer Research (190 citations), Oncology (294 citations) and Genetics (239 citations). Camille Charbonnier has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Gaël Nicolas, Dominique Campion, Thierry Frébourg, Gaëlle Bougeard, Jean‐Michel Flaman, Dominique Stoppa‐Lyonnet, Brigitte Bressac–de Paillerets, Julie Tinat, Patrick R. Benusiglio and Mariette Renaux‐Petel. Their work appears in journals such as American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Journal of Alzheimer s Disease, Scientific Reports, Acta Neuropathologica and Nature Communications.

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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