Angela Pisani
- Pathology and Forensic Medicine top 5%
- Molecular Biology
- Neurology top 10%
- Cardiology and Cardiovascular Medicine
- Cognitive Neuroscience
- Co-authors
- Carlo PozzilliPatrizià PantanoCaterina MaineroFrancesca CaramiaI. PestalozzaL. BozzaoGiovanna BorrielloCesare Fieschi
- Topics
- Multiple Sclerosis Research Studies (5 papers)Nuclear Structure and Function (2 papers)Amyotrophic Lateral Sclerosis Research (1 paper)
In The Last Decade
Angela Pisani
13 papers receiving 609 citations
Peers
Comparison fields: 5 of 84
- Pathology and Forensic Medicine 399
- Molecular Biology 147
- Neurology 139
- Cardiology and Cardiovascular Medicine 93
- Cognitive Neuroscience 71
Countries citing papers authored by Angela Pisani
This map shows the geographic impact of Angela Pisani'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 Angela Pisani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela Pisani more than expected).
Fields of papers citing papers by Angela Pisani
This network shows the impact of papers produced by Angela Pisani. 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 Angela Pisani. The network helps show where Angela Pisani may publish in the future.
Co-authorship network of co-authors of Angela Pisani
This figure shows the co-authorship network connecting the top 25 collaborators of Angela Pisani. A scholar is included among the top collaborators of Angela Pisani 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 Angela Pisani. Angela Pisani 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 | Experiências sobre a implementação da filosofia lean em uma obra de condomínio horizontal de interesse social em Santa Maria – RS | 1 |
| 3 | 239 | |
| 4 | [Diseases associated with lamin A/C gene defects: what the clinical cardiologist ought to know]. | 4 |
| 5 | 118 | |
| 6 | [Genetic diagnosis of familial dilated cardiomyopathy]. | 3 |
| 7 | 148 | |
| 8 | Molecular mechanisms of cardiac hypertrophy | 5 |
| 9 | 1 | |
| 10 | 70 | |
| 11 | 8 | |
| 12 | 24 | |
| 13 | 1 |
About Angela Pisani
Angela Pisani is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience and Sensory Systems, having authored 13 papers that have together received 623 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Nuclear Structure and Function (2 papers) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (399 citations), Neurology (139 citations) and Developmental Neuroscience (30 citations). Angela Pisani has collaborated with scholars based in Italy and Australia. Frequent co-authors include Carlo Pozzilli, Patrizià Pantano, Caterina Mainero, Francesca Caramia, I. Pestalozza, L. Bozzao, Giovanna Borriello, Cesare Fieschi, Patrizio Pasqualetti and Emanuela Onesti. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and Journal of Neurology Neurosurgery & Psychiatry.
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.