Umberto Sabatini
- Neurology top 0.5%
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Co-authors
- Carlo CaltagironePatrice PéranOlivier RascolAndrea CherubiniJean‐Louis MontastrucPierre CelsisFrançois CholletCecilia Guariglia
- Topics
- Advanced Neuroimaging Techniques and Applications (37 papers)Neurological disorders and treatments (31 papers)Parkinson's Disease Mechanisms and Treatments (23 papers)
- Cited by
- NeurologyCognitive Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Umberto Sabatini
131 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 157
- Neurology 2.0k
- Cognitive Neuroscience 1.7k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Cellular and Molecular Neuroscience 928
- Neurology 707
Countries citing papers authored by Umberto Sabatini
This map shows the geographic impact of Umberto Sabatini'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 Umberto Sabatini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Sabatini more than expected).
Fields of papers citing papers by Umberto Sabatini
This network shows the impact of papers produced by Umberto Sabatini. 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 Umberto Sabatini. The network helps show where Umberto Sabatini may publish in the future.
Co-authorship network of co-authors of Umberto Sabatini
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Sabatini. A scholar is included among the top collaborators of Umberto Sabatini 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 Umberto Sabatini. Umberto Sabatini 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 | 2 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 15 | |
| 6 | 18 | |
| 7 | 30 | |
| 8 | 30 | |
| 9 | 9 | |
| 10 | 42 | |
| 11 | 33 | |
| 12 | 21 | |
| 13 | 317 | |
| 14 | 52 | |
| 15 | 76 | |
| 16 | Turbo-Proton Echo Planar Spectroscopic Imaging (t-PEPSI) MR technique in the detection of diffuse axonal damage in brain injury. Comparison with Gradient-Recalled Echo (GRE) sequence. | 3 |
| 17 | 18 | |
| 18 | 73 | |
| 19 | 63 | |
| 20 | 8 |
About Umberto Sabatini
Umberto Sabatini is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 135 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (37 papers), Neurological disorders and treatments (31 papers) and Parkinson's Disease Mechanisms and Treatments (23 papers). The work is most often cited by research in Neurology (2.0k citations), Cognitive Neuroscience (1.7k citations) and Neurology (707 citations). Umberto Sabatini has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Carlo Caltagirone, Patrice Péran, Olivier Rascol, Andrea Cherubini, Jean‐Louis Montastruc, Pierre Celsis, François Chollet, Cecilia Guariglia, Gianfranco Spalletta and Nelly Fabre. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.