Luigia Passamano
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Co-authors
- Luisa PolitanoGiulio PilusoVincenzo NigroAlberto PalladinoMarianna ScutiferoL.I. ComiV PetrettaEsther Picillo
- Topics
- Cardiomyopathy and Myosin Studies (16 papers)Muscle Physiology and Disorders (15 papers)Neurogenetic and Muscular Disorders Research (8 papers)
- Partner nations
- ItalyUnited StatesPoland
In The Last Decade
Luigia Passamano
27 papers receiving 765 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 645
- Cardiology and Cardiovascular Medicine 336
- Genetics 153
- Cellular and Molecular Neuroscience 134
- Physiology 74
Countries citing papers authored by Luigia Passamano
This map shows the geographic impact of Luigia Passamano'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 Luigia Passamano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luigia Passamano more than expected).
Fields of papers citing papers by Luigia Passamano
This network shows the impact of papers produced by Luigia Passamano. 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 Luigia Passamano. The network helps show where Luigia Passamano may publish in the future.
Co-authorship network of co-authors of Luigia Passamano
This figure shows the co-authorship network connecting the top 25 collaborators of Luigia Passamano. A scholar is included among the top collaborators of Luigia Passamano 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 Luigia Passamano. Luigia Passamano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | Cardiac diseases as a predictor warning of hereditary muscle diseases. The case of laminopathies. | 3 |
| 10 | Clinical features of patients with dystrophinopathy sharing the 45-55 exon deletion of DMD gene. | 37 |
| 11 | 5 | |
| 12 | Improvement of survival in Duchenne Muscular Dystrophy: retrospective analysis of 835 patients. | 250 |
| 13 | Cardiac involvement in patients with spinal muscular atrophies. | 22 |
| 14 | 4 | |
| 15 | 75 | |
| 16 | 1 | |
| 17 | ST-segment displacement in Duchenne muscular dystrophy: myocardial necrosis or apoptosis? | 8 |
| 18 | 28 | |
| 19 | 111 | |
| 20 | 98 |
About Luigia Passamano
Luigia Passamano is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 794 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (16 papers), Muscle Physiology and Disorders (15 papers) and Neurogenetic and Muscular Disorders Research (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (336 citations), Genetics (153 citations) and Molecular Biology (645 citations). Luigia Passamano has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Luisa Politano, Giulio Piluso, Vincenzo Nigro, Alberto Palladino, Marianna Scutifero, L.I. Comi, V Petretta, Esther Picillo, Gerardo Nigro and Gerardo Nigro. Their work appears in journals such as International Journal of Molecular Sciences, Ophthalmology and Muscle & Nerve.
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.