Luisa Politano
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 1%
- Cellular and Molecular Neuroscience top 2%
- Genetics top 2%
- Cell Biology top 5%
- Co-authors
- Gerardo NigroL.I. ComiVincenzo NigroR.J.I. BainGiulio PilusoAlberto PalladinoEsther PicilloEmanuela Viggiano
- Topics
- Muscle Physiology and Disorders (62 papers)Cardiomyopathy and Myosin Studies (43 papers)Genetic Neurodegenerative Diseases (38 papers)
In The Last Decade
Luisa Politano
141 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 3.0k
- Cardiology and Cardiovascular Medicine 1.7k
- Cellular and Molecular Neuroscience 965
- Genetics 492
- Cell Biology 386
Countries citing papers authored by Luisa Politano
This map shows the geographic impact of Luisa Politano'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 Luisa Politano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Politano more than expected).
Fields of papers citing papers by Luisa Politano
This network shows the impact of papers produced by Luisa Politano. 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 Luisa Politano. The network helps show where Luisa Politano may publish in the future.
Co-authorship network of co-authors of Luisa Politano
This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Politano. A scholar is included among the top collaborators of Luisa Politano 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 Luisa Politano. Luisa Politano 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 | 4 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 4 | |
| 10 | Increased heterogeneity of ventricular repolarization in myotonic dystrophy type 1 population. | 9 |
| 11 | 48 | |
| 12 | 12 | |
| 13 | 27 | |
| 14 | Novel mutations in LMNA A/C gene and associated phenotypes. | 18 |
| 15 | 36 | |
| 16 | 32 | |
| 17 | ST-segment displacement in Duchenne muscular dystrophy: myocardial necrosis or apoptosis? | 8 |
| 18 | 87 | |
| 19 | Mutation spectrum of CAPN3 gene in LGMD2A patients in Croatia | 1 |
| 20 | 27 |
About Luisa Politano
Luisa Politano is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Genetics, having authored 145 papers that have together received 4.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (62 papers), Cardiomyopathy and Myosin Studies (43 papers) and Genetic Neurodegenerative Diseases (38 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Cellular and Molecular Neuroscience (965 citations) and Genetics (492 citations). Luisa Politano has collaborated with scholars based in Italy, France and Poland. Frequent co-authors include Gerardo Nigro, L.I. Comi, Vincenzo Nigro, R.J.I. Bain, Giulio Piluso, Gerardo Nigro, Alberto Palladino, Esther Picillo, Emanuela Viggiano and Luigia Passamano. Their work appears in journals such as JAMA, Nature Communications 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.