Gisèle Bonne
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- Cardiomyopathy and Myosin Studies 39
- Molecular Biology top 0.5%
- Nuclear Structure and Function 129
- RNA Research and Splicing 115
- Muscle Physiology and Disorders 42
- RNA regulation and disease 30
- Genomics and Chromatin Dynamics 18
- Mitochondrial Function and Pathology 16
- Cell Biology top 0.5%
- Genetics top 1%
- Neurogenetic and Muscular Disorders Research 13
- Developmental Biology top 2%
Gisèle Bonne
194 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 3.3k
- Molecular Biology 9.3k
- Cell Biology 1.6k
- Genetics 667
- Developmental Biology 123
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
The 25 scholars most cited alongside Gisèle Bonne, 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 | 2023 | 3 | |
| 2 | 2021 | 19 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 5 | |
| 5 | 2020 | 6 | |
| 6 | 2020 | 21 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 32 | |
| 12 | 2017 | 38 | |
| 13 | Proceso histórico-pedagógico de las bibliotecas escolares en Cuba en el período 1960-2010 | 2016 | 0 |
| 14 | 2015 | 26 | |
| 15 | 2013 | 6 | |
| 16 | 2012 | 21 | |
| 17 | 2009 | 96 | |
| 18 | 2006 | 1 | |
| 19 | Clinical analysis of 32 patients carrying R453W LMNA mutation | 2002 | 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. | 1999 | 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), Muscle Physiology and Disorders (42 papers), Cardiomyopathy and Myosin Studies (39 papers), RNA regulation and disease (30 papers), Genomics and Chromatin Dynamics (18 papers), Mitochondrial Function and Pathology (16 papers) and Neurogenetic and Muscular Disorders Research (13 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.