Marina Scardigli
-
- Neuroscience and Neural Engineering 8
- Photoreceptor and optogenetics research 4
-
- Cardiac electrophysiology and arrhythmias 10
- Biophysics top 10%
- Cell Image Analysis Techniques 7
- Advanced Fluorescence Microscopy Techniques 7
-
- Neural dynamics and brain function 4
-
- Ion channel regulation and function 4
- Single-cell and spatial transcriptomics 3
- Co-authors
- Francesco S. PavoneLeonardo SacconiCecilia FerrantiniRaffaele CoppiniCorrado PoggesiElisabetta CerbaiClaudia CrociniPing Yan
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Circulation Research (1 paper)The Journal of Physiology (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marina Scardigli
20 papers receiving 370 citations
Peers
Comparison fields: 5 of 54
- Cellular and Molecular Neuroscience 159
- Cardiology and Cardiovascular Medicine 184
- Biophysics 46
- Structural Biology 5
- Cognitive Neuroscience 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
The 25 scholars most cited alongside Marina Scardigli, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 19 | |
| 11 | 2019 | 51 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 7 | |
| 14 | 2018 | 30 | |
| 15 | 2017 | 3 | |
| 16 | 2017 | 30 | |
| 17 | 2016 | 88 | |
| 18 | 2015 | 41 | |
| 19 | Ketorolac for paediatric postoperative pain. A review. | 2000 | 3 |
| 20 | Biphasic waveforms for automatic external defibrillation in human: a review. | 2000 | 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), Cell Image Analysis Techniques (7 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Photoreceptor and optogenetics research (4 papers), Neural dynamics and brain function (4 papers), Ion channel regulation and function (4 papers) and Single-cell and spatial transcriptomics (3 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.