Fanny Collaud

2.1k citations
32 papers · 1.1k · h-index 18

Impact in

  • Genetics top 2%
    • Virus-based gene therapy research
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • Virus-based gene therapy research 22
    • RNA Interference and Gene Delivery 10
    • Biochemical and Molecular Research 4
    • CRISPR and Genetic Engineering 4

Fanny Collaud

31 papers receiving 1.1k citations

Peers

Fanny Collaud
Comparison fields: 5 of 67
  • Genetics 692
  • Molecular Biology 675
  • Oncology 232
  • Cardiology and Cardiovascular Medicine 150
  • Infectious Diseases 112
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Citations per field
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Citations per year

Countries citing papers authored by Fanny Collaud

Since Specialization
Citations

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

Fields of papers citing papers by Fanny Collaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018206
2 2018138
3 2017104
4 202080
5 201878
6 201854
7 201649
8 201944
9 201841
10 201939
11 201938
12 202335
13 202126
14 202020
15 202020
16 201919
17 201918
18 202018
19 202016
20 202015

About Fanny Collaud

Fanny Collaud is a scholar working on Genetics, Molecular Biology, Physiology, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (22 papers), RNA Interference and Gene Delivery (10 papers), Lysosomal Storage Disorders Research (8 papers), Neonatal Health and Biochemistry (4 papers), CAR-T cell therapy research (4 papers), Biochemical and Molecular Research (4 papers), CRISPR and Genetic Engineering (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Genetics (692 citations), Molecular Biology (675 citations), Oncology (232 citations), Cardiology and Cardiovascular Medicine (150 citations) and Infectious Diseases (112 citations). Fanny Collaud has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Giuseppe Ronzitti, Federico Mingozzi, Christian Leborgne, Séverine Charles, Laetitia van Wittenberghe, Marcelo Simon Sola, Solenne Marmier, Alban Vignaud, Helena Costa Verdera and P. Véron. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Neuromuscular Disorders, Molecular Therapy, Nature Communications and Blood Advances.

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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