Gisèle Bonne
- Molecular Biology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Cell Biology top 0.5%
- Genetics top 1%
- Genetics top 5%
- Co-authors
- Howard J. WormanKetty SchwartzAntoine MuchirPascale RichardRabah Ben YaouLucie CarrierLuciano MerliniBernard Hainque
- Topics
- Nuclear Structure and Function (129 papers)RNA Research and Splicing (115 papers)Muscle Physiology and Disorders (42 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Gisèle Bonne
194 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 9.3k
- Cardiology and Cardiovascular Medicine 3.3k
- Cell Biology 1.6k
- Genetics 667
- Genetics 534
Countries citing papers authored by Gisèle Bonne
This map shows the geographic impact of Gisèle Bonne'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 Gisèle Bonne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gisèle Bonne more than expected).
Fields of papers citing papers by Gisèle Bonne
This network shows the impact of papers produced by Gisèle Bonne. 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 Gisèle Bonne. The network helps show where Gisèle Bonne may publish in the future.
Co-authorship network of co-authors of Gisèle Bonne
This figure shows the co-authorship network connecting the top 25 collaborators of Gisèle Bonne. A scholar is included among the top collaborators of Gisèle Bonne 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 Gisèle Bonne. Gisèle Bonne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 19 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 21 | |
| 7 | 26 | |
| 8 | 16 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 32 | |
| 12 | 38 | |
| 13 | Proceso histórico-pedagógico de las bibliotecas escolares en Cuba en el período 1960-2010 | 0 |
| 14 | 26 | |
| 15 | 6 | |
| 16 | 21 | |
| 17 | 96 | |
| 18 | 1 | |
| 19 | Clinical analysis of 32 patients carrying R453W LMNA mutation | 2 |
| 20 | 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 |
About Gisèle Bonne
Gisèle Bonne is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 203 papers that have together received 11.4k indexed citations. Recurring topics across this work include Nuclear Structure and Function (129 papers), RNA Research and Splicing (115 papers) and Muscle Physiology and Disorders (42 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.3k citations), Molecular Biology (9.3k citations) and Cell Biology (1.6k citations). Gisèle Bonne has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Howard J. Worman, Ketty Schwartz, Antoine Muchir, Pascale Richard, Rabah Ben Yaou, Lucie Carrier, Luciano Merlini, Bernard Hainque, Denis Duboc and Shaïda Varnous. Their work appears in journals such as Circulation, Journal of Clinical Investigation 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.