Stefania Scalise
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- 3D Printing in Biomedical Research 4
- Microfluidic and Bio-sensing Technologies 3
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- Pluripotent Stem Cells Research 7
- CRISPR and Genetic Engineering 7
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- Neuroscience and Neural Engineering 4
- Neuroscience and Neuropharmacology Research 2
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- Tissue Engineering and Regenerative Medicine 3
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- Glycogen Storage Diseases and Myoclonus 2
- Co-authors
- Giovanni CudaElvira Immacolata ParrottaMaria Teresa De AngelisGianluca SantamariaPatrizio CandeloroGerardo PerozzielloMaria Laura ColuccioVincenzo Mollace
- Cited by
- BiomaterialsAgingBiophysics
- Journals
- Annals of Neurology (1 paper)Scientific Reports (1 paper)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ItalySaudi ArabiaDenmark
In The Last Decade
Stefania Scalise
23 papers receiving 369 citations
Peers
Comparison fields: 5 of 80
- Biomaterials 70
- Aging 8
- Biophysics 16
- Biomedical Engineering 110
- Molecular Biology 171
Countries citing papers authored by Stefania Scalise
This map shows the geographic impact of Stefania Scalise'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 Stefania Scalise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Scalise more than expected).
Fields of papers citing papers by Stefania Scalise
This network shows the impact of papers produced by Stefania Scalise. 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 Stefania Scalise. The network helps show where Stefania Scalise may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefania Scalise, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 25 | |
| 18 | 2019 | 11 | |
| 19 | 2018 | 15 | |
| 20 | 2017 | 29 |
About Stefania Scalise
Stefania Scalise is a scholar working on Aging, Biophysics and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 373 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (7 papers), Neuroscience and Neural Engineering (4 papers), 3D Printing in Biomedical Research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Microfluidic and Bio-sensing Technologies (3 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Biomaterials (70 citations), Aging (8 citations) and Biophysics (16 citations). Stefania Scalise has collaborated with scholars based in Italy, Saudi Arabia and Denmark. Frequent co-authors include Giovanni Cuda, Elvira Immacolata Parrotta, Maria Teresa De Angelis, Gianluca Santamaria, Patrizio Candeloro, Gerardo Perozziello, Maria Laura Coluccio, Vincenzo Mollace, Tania Limongi and Enzo Di Fabrizio. Their work appears in journals such as Annals of Neurology, Scientific Reports and International Journal of Molecular Sciences.
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.