Caroline Le Dour
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
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- Nuclear Structure and Function
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
Papers in
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- Nuclear Structure and Function 16
- RNA Research and Splicing 12
- Genomics and Chromatin Dynamics 5
- Muscle Physiology and Disorders 2
- RNA regulation and disease 2
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- Cardiovascular Effects of Exercise 2
- Co-authors
- Corinne Vigouroux (9 shared papers)Jacqueline Capeau (8 shared papers)Jocelyne Magré (2 shared papers)Martine Caron-Debarle (1 shared paper)Antoine Muchir (5 shared papers)Pascale Cervera (2 shared papers)Véronique Béréziat (6 shared papers)Gisèle Bonne (3 shared papers)
- Journals
- Human Molecular Genetics (3 papers)Nucleus (2 papers)Nature Communications (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Caroline Le Dour
15 papers receiving 763 citations
Peers
Comparison fields: 5 of 63
- Biochemistry 114
- Molecular Biology 547
- Cell Biology 106
- Physiology 142
- Cardiology and Cardiovascular Medicine 90
Countries citing papers authored by Caroline Le Dour
This map shows the geographic impact of Caroline Le Dour'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 Dour 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 Dour more than expected).
Fields of papers citing papers by Caroline Le Dour
This network shows the impact of papers produced by Caroline Le Dour. 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 Dour. The network helps show where Caroline Le Dour may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Le Dour, 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 | 2011 | 209 | |
| 2 | 2011 | 107 | |
| 3 | 2016 | 80 | |
| 4 | 2016 | 58 | |
| 5 | 2011 | 55 | |
| 6 | 2018 | 40 | |
| 7 | 2022 | 37 | |
| 8 | 2016 | 36 | |
| 9 | 2009 | 34 | |
| 10 | 2011 | 30 | |
| 11 | 2018 | 28 | |
| 12 | 2009 | 23 | |
| 13 | 2014 | 17 | |
| 14 | 2023 | 7 | |
| 15 | 2009 | 5 | |
| 16 | 2008 | 0 | |
| 17 | 2011 | 0 |
About Caroline Le Dour
Caroline Le Dour is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Physiology and Genetics, having authored 17 papers that have together received 766 indexed citations. Recurring topics across this work include Nuclear Structure and Function (16 papers), RNA Research and Splicing (12 papers), Genomics and Chromatin Dynamics (5 papers), Cardiovascular Effects of Exercise (2 papers), Muscle Physiology and Disorders (2 papers), RNA regulation and disease (2 papers), Adipose Tissue and Metabolism (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Biochemistry (114 citations), Molecular Biology (547 citations), Cell Biology (106 citations), Physiology (142 citations) and Cardiology and Cardiovascular Medicine (90 citations). Caroline Le Dour has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Corinne Vigouroux, Jacqueline Capeau, Jocelyne Magré, Martine Caron-Debarle, Antoine Muchir, Pascale Cervera, Véronique Béréziat, Gisèle Bonne, Olivier Lascols and Martine Auclair. Their work appears in journals such as Human Molecular Genetics, Nucleus, Nature Communications, The Journal of Clinical Endocrinology & Metabolism and American Journal Of Pathology.
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.