Caroline Le Guiner
- Genetics top 5%
- Virus-based gene therapy research 25
- Molecular Biology top 5%
- Muscle Physiology and Disorders 20
- RNA Interference and Gene Delivery 13
- CRISPR and Genetic Engineering 7
- RNA Research and Splicing 6
- Aging top 10%
- Genetics top 10%
- Virus-based gene therapy research 25
-
- Tissue Engineering and Regenerative Medicine 4
-
- Cardiomyopathy and Myosin Studies 4
-
- CAR-T cell therapy research 3
- Co-authors
- Philippe MoullierRichard O. SnyderFabienne RollingRichard BreathnachFabienne Del Gatto–KonczakYan ChérelMagalie Penaud‐BudlooLiliane Kister
- Cited by
- GeneticsMolecular BiologyAging
- Journals
- Journal of Biological Chemistry (3 papers)Nature Communications (1 paper)PLoS ONE (5 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Caroline Le Guiner
44 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 78
- Genetics 657
- Molecular Biology 1.3k
- Aging 22
- Cellular and Molecular Neuroscience 145
- Genetics 83
Countries citing papers authored by Caroline Le Guiner
This map shows the geographic impact of Caroline Le Guiner'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 Caroline Le Guiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Le Guiner more than expected).
Fields of papers citing papers by Caroline Le Guiner
This network shows the impact of papers produced by Caroline Le Guiner. 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 Caroline Le Guiner. The network helps show where Caroline Le Guiner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Caroline Le Guiner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 17 | |
| 9 | 2017 | 7 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 47 | |
| 12 | 2014 | 66 | |
| 13 | 2014 | 135 | |
| 14 | 2013 | 17 | |
| 15 | 2012 | 13 | |
| 16 | 2012 | 82 | |
| 17 | 2009 | 89 | |
| 18 | 2009 | 44 | |
| 19 | 2001 | 25 | |
| 20 | 2001 | 117 |
About Caroline Le Guiner
Caroline Le Guiner is a scholar working on Genetics, Aging and Molecular Biology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (25 papers), Muscle Physiology and Disorders (20 papers), RNA Interference and Gene Delivery (13 papers), CRISPR and Genetic Engineering (7 papers), RNA Research and Splicing (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (657 citations), Molecular Biology (1.3k citations) and Aging (22 citations). Caroline Le Guiner has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Moullier, Richard O. Snyder, Fabienne Rolling, Richard Breathnach, Fabienne Del Gatto–Konczak, Yan Chérel, Magalie Penaud‐Budloo, Liliane Kister, Marie-Claude Gesnel and Alice Toromanoff. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.