Stefano Gipponi
- Neurology top 5%
- Psychiatry and Mental health top 5%
- Physiology
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Alessandro PadovaniRenata RaoBarbara BorroniPaolo LiberiniAndrea PilottoElisabetta VenturelliValentina GaribottoMatilde Leonardi
- Topics
- Long-Term Effects of COVID-19 (8 papers)Migraine and Headache Studies (7 papers)Glioma Diagnosis and Treatment (6 papers)
- Journals
- International Journal of Environmental Research and Public HealthVaccineJournal of the Neurological Sciences
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Stefano Gipponi
32 papers receiving 627 citations
Peers
Comparison fields: 5 of 76
- Neurology 322
- Psychiatry and Mental health 249
- Physiology 100
- Neurology 90
- Radiology, Nuclear Medicine and Imaging 89
Countries citing papers authored by Stefano Gipponi
This map shows the geographic impact of Stefano Gipponi'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 Stefano Gipponi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Gipponi more than expected).
Fields of papers citing papers by Stefano Gipponi
This network shows the impact of papers produced by Stefano Gipponi. 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 Stefano Gipponi. The network helps show where Stefano Gipponi may publish in the future.
Co-authorship network of co-authors of Stefano Gipponi
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Gipponi. A scholar is included among the top collaborators of Stefano Gipponi 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 Stefano Gipponi. Stefano Gipponi 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 | 16 | |
| 3 | 5 | |
| 4 | 20 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 18 | |
| 8 | 43 | |
| 9 | 6 | |
| 10 | 101 | |
| 11 | 26 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 57 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 12 | |
| 19 | 107 | |
| 20 | 20 |
About Stefano Gipponi
Stefano Gipponi is a scholar working on Neurology, Psychiatry and Mental health and Critical Care and Intensive Care Medicine, having authored 33 papers that have together received 644 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (8 papers), Migraine and Headache Studies (7 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Neurology (322 citations), Psychiatry and Mental health (249 citations) and Neurology (90 citations). Stefano Gipponi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alessandro Padovani, Renata Rao, Barbara Borroni, Paolo Liberini, Andrea Pilotto, Elisabetta Venturelli, Valentina Garibotto, Matilde Leonardi, Stefano Cotti Piccinelli and Michela Bezzi. Their work appears in journals such as International Journal of Environmental Research and Public Health, Vaccine and Journal of the Neurological 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.