Isabelle Barde

1.5k citations
21 papers · 1.2k · h-index 16

Impact in

Papers in

    • RNA Interference and Gene Delivery 4
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 3
    • RNA regulation and disease 3
    • CRISPR and Genetic Engineering 3
    • Virus-based gene therapy research 8
    • Animal Genetics and Reproduction 2

Isabelle Barde

21 papers receiving 1.1k citations

Peers

Isabelle Barde
Comparison fields: 5 of 83
  • Cancer Research 169
  • Developmental Neuroscience 43
  • Molecular Biology 738
  • Genetics 103
  • Immunology 189
Replace Sonia Verp with:
Sonia Verp Switzerland
Xenia Schafer United States
Samuel Gunderson United States
Stuart H. Johnston United States
Xueqing Lun Canada
Stefan Tomiuk Germany
Johnny E. Kopinja United States
Sergei A. Ezhevsky United States
Jennifer K. Sabo Australia
Peter C. Huszthy Norway
Isabelle Barde relative to Sonia Verp Switzerland Sonia Verp's profile →
Citations per field
00.5×1.5×
Sonia Verp · 1×
Citations per year

Countries citing papers authored by Isabelle Barde

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Barde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010241
2 2012159
3 2015111
4 201391
5 200586
6 200876
7 201166
8 200566
9 201242
10 201239
11 201133
12 201025
13 200924
14 201023
15 200817
16 200616
17 201214
18 201113
19 20119
20 20142

About Isabelle Barde

Isabelle Barde is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Genetics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (4 papers), Immune Cell Function and Interaction (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA regulation and disease (3 papers), CRISPR and Genetic Engineering (3 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Cancer Research (169 citations), Developmental Neuroscience (43 citations), Molecular Biology (738 citations), Genetics (103 citations) and Immunology (189 citations). Isabelle Barde has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Didier Trono, Patrick Salmon, Sonia Verp, Adamandia Kapopoulou, Sandra Offner, Benjamin Rauwel, Malin Åkerblom, Bernhard Gentner, Johan Jakobsson and Rohit Sachdeva. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Molecular Therapy, The FASEB Journal and Current Protocols in Neuroscience.

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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