Pascale Richard
- Cardiology and Cardiovascular Medicine top 0.2%
- Molecular Biology top 2%
- Cell Biology top 2%
- Epidemiology top 5%
- Genetics top 2%
- Co-authors
- Bernard HainqueKetty SchwartzGisèle BonnePhilippe CharronLucie CarrierMichel KomajdaRichard IsnardOlivier Dubourg
- Topics
- Cardiomyopathy and Myosin Studies (70 papers)Muscle Physiology and Disorders (39 papers)Nuclear Structure and Function (37 papers)
In The Last Decade
Pascale Richard
159 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cardiology and Cardiovascular Medicine 4.3k
- Molecular Biology 3.9k
- Cell Biology 592
- Epidemiology 553
- Genetics 436
Countries citing papers authored by Pascale Richard
This map shows the geographic impact of Pascale Richard'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 Pascale Richard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascale Richard more than expected).
Fields of papers citing papers by Pascale Richard
This network shows the impact of papers produced by Pascale Richard. 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 Pascale Richard. The network helps show where Pascale Richard may publish in the future.
Co-authorship network of co-authors of Pascale Richard
This figure shows the co-authorship network connecting the top 25 collaborators of Pascale Richard. A scholar is included among the top collaborators of Pascale Richard 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 Pascale Richard. Pascale Richard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 57 | |
| 7 | 2 | |
| 8 | 26 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 54 | |
| 13 | Desminopathies : What can we learn from a long term follow-up? | 0 |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 12 | |
| 18 | Clinical analysis of 32 patients carrying R453W LMNA mutation | 2 |
| 19 | Double heterozygosity for mutations in the beta-myosin heavy chain and in the cardiac myosin binding protein C genes in a family with hypertrophic cardiomyopathy. | 60 |
| 20 | 7 |
About Pascale Richard
Pascale Richard is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Molecular Biology, having authored 168 papers that have together received 6.6k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (70 papers), Muscle Physiology and Disorders (39 papers) and Nuclear Structure and Function (37 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.3k citations), Molecular Biology (3.9k citations) and Developmental Neuroscience (209 citations). Pascale Richard has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Bernard Hainque, Ketty Schwartz, Gisèle Bonne, Philippe Charron, Lucie Carrier, Michel Komajda, Richard Isnard, Olivier Dubourg, Michel Desnos and Pascale Guicheney. Their work appears in journals such as Nucleic Acids Research, Circulation and Nature Genetics.
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.