Rosanna Cardani
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- Genetic Neurodegenerative Diseases 50
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 29
- Muscle Physiology and Disorders 28
- RNA Research and Splicing 9
- Ion channel regulation and function 7
- Aging top 10%
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 6
- Cancer Research top 10%
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- Cardiomyopathy and Myosin Studies 12
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- COVID-19 Clinical Research Studies 5
- Co-authors
- G. MeolaFabio MartelliSimona GrecoMaurizio C. CapogrossiLaura Valentina RennaE. MancinelliEnrico BugiardiniRiccardo Perbellini
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (5 papers)Neurology (2 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Rosanna Cardani
72 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Cellular and Molecular Neuroscience 989
- Molecular Biology 1.5k
- Aging 37
- Neurology 271
- Cancer Research 245
Countries citing papers authored by Rosanna Cardani
This map shows the geographic impact of Rosanna Cardani'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 Rosanna Cardani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosanna Cardani more than expected).
Fields of papers citing papers by Rosanna Cardani
This network shows the impact of papers produced by Rosanna Cardani. 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 Rosanna Cardani. The network helps show where Rosanna Cardani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rosanna Cardani, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 9 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 29 | |
| 12 | 2017 | 49 | |
| 13 | 2017 | 14 | |
| 14 | 2015 | 9 | |
| 15 | 2015 | 7 | |
| 16 | 2014 | 57 | |
| 17 | 2014 | 28 | |
| 18 | 2012 | 36 | |
| 19 | 2010 | 11 | |
| 20 | 2010 | 100 |
About Rosanna Cardani
Rosanna Cardani is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (50 papers), Mitochondrial Function and Pathology (29 papers), Muscle Physiology and Disorders (28 papers), Cardiomyopathy and Myosin Studies (12 papers), RNA Research and Splicing (9 papers), Ion channel regulation and function (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (989 citations), Molecular Biology (1.5k citations) and Aging (37 citations). Rosanna Cardani has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include G. Meola, Fabio Martelli, Simona Greco, Maurizio C. Capogrossi, Laura Valentina Renna, E. Mancinelli, Enrico Bugiardini, Riccardo Perbellini, Marzia Giagnacovo and Manuela Malatesta. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.