Dominique Récan
- Molecular Biology top 5%
- Genetics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Reproductive Medicine top 5%
- Co-authors
- Jean‐Claude KaplanAnthony P. MonacoAnn P. WalkerHans Peter SchwarzAlfons MeindlBarbara BardoniElena ZanariaTim M. Strom
- Topics
- Muscle Physiology and Disorders (18 papers)RNA Research and Splicing (10 papers)Nuclear Structure and Function (8 papers)
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Dominique Récan
33 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Molecular Biology 1.3k
- Genetics 700
- Cardiology and Cardiovascular Medicine 223
- Endocrinology, Diabetes and Metabolism 220
- Reproductive Medicine 210
Countries citing papers authored by Dominique Récan
This map shows the geographic impact of Dominique Récan'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 Dominique Récan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Récan more than expected).
Fields of papers citing papers by Dominique Récan
This network shows the impact of papers produced by Dominique Récan. 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 Dominique Récan. The network helps show where Dominique Récan may publish in the future.
Co-authorship network of co-authors of Dominique Récan
This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Récan. A scholar is included among the top collaborators of Dominique Récan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dominique Récan. Dominique Récan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 95 | |
| 3 | 6 | |
| 4 | 34 | |
| 5 | 9 | |
| 6 | 29 | |
| 7 | Clinical analysis of 32 patients carrying R453W LMNA mutation | 2 |
| 8 | Limb-girdle muscular dystrophy with calpain deficiency(LGMD 2A) in Croatia: a survey in a small rural community | 1 |
| 9 | 21 | |
| 10 | 133 | |
| 11 | 27 | |
| 12 | 7 | |
| 13 | 42 | |
| 14 | 32 | |
| 15 | 60 | |
| 16 | 33 | |
| 17 | 46 | |
| 18 | 16 | |
| 19 | 46 | |
| 20 | 141 |
About Dominique Récan
Dominique Récan is a scholar working on Molecular Biology, Genetics and Rehabilitation, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (18 papers), RNA Research and Splicing (10 papers) and Nuclear Structure and Function (8 papers). The work is most often cited by research in Genetics (700 citations), Reproductive Medicine (210 citations) and Molecular Biology (1.3k citations). Dominique Récan has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jean‐Claude Kaplan, Anthony P. Monaco, Ann P. Walker, Hans Peter Schwarz, Alfons Meindl, Barbara Bardoni, Elena Zanaria, Tim M. Strom, Silvana Guioli and Françoise Muscatelli. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.
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.