Marina Scardigli
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Cognitive Neuroscience
- Biophysics top 10%
- Co-authors
- Francesco S. PavoneLeonardo SacconiCecilia FerrantiniRaffaele CoppiniCorrado PoggesiElisabetta CerbaiClaudia CrociniPing Yan
- Topics
- Cardiac electrophysiology and arrhythmias (10 papers)Neuroscience and Neural Engineering (8 papers)Cell Image Analysis Techniques (7 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculation ResearchThe Journal of Physiology
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marina Scardigli
20 papers receiving 370 citations
Peers
Comparison fields: 5 of 54
- Cardiology and Cardiovascular Medicine 184
- Cellular and Molecular Neuroscience 159
- Molecular Biology 144
- Cognitive Neuroscience 46
- Biophysics 46
Countries citing papers authored by Marina Scardigli
This map shows the geographic impact of Marina Scardigli'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 Marina Scardigli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Scardigli more than expected).
Fields of papers citing papers by Marina Scardigli
This network shows the impact of papers produced by Marina Scardigli. 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 Marina Scardigli. The network helps show where Marina Scardigli may publish in the future.
Co-authorship network of co-authors of Marina Scardigli
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Scardigli. A scholar is included among the top collaborators of Marina Scardigli 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 Marina Scardigli. Marina Scardigli 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 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 19 | |
| 11 | 51 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 30 | |
| 15 | 3 | |
| 16 | 30 | |
| 17 | 88 | |
| 18 | 41 | |
| 19 | Ketorolac for paediatric postoperative pain. A review. | 3 |
| 20 | Biphasic waveforms for automatic external defibrillation in human: a review. | 2 |
About Marina Scardigli
Marina Scardigli is a scholar working on Biophysics, Structural Biology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 371 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Neuroscience and Neural Engineering (8 papers) and Cell Image Analysis Techniques (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (159 citations), Cardiology and Cardiovascular Medicine (184 citations) and Biophysics (46 citations). Marina Scardigli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Francesco S. Pavone, Leonardo Sacconi, Cecilia Ferrantini, Raffaele Coppini, Corrado Poggesi, Elisabetta Cerbai, Claudia Crocini, Ping Yan, Leslie M. Loew and Godfrey L. Smith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Research and The Journal of Physiology.
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.