Sandro Sorbi
Impact in
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Psychiatry and Mental health top 0.2%
- Dementia and Cognitive Impairment Research
Papers in
- Physiology 164
- Alzheimer's disease research and treatments 145
-
- Dementia and Cognitive Impairment Research 80
- Co-authors
- Benedetta NacmiasMaria Pia AmatoSilvia BagnoliGianfranco SiracusaEmilio PortaccioValentina ZipoliAndrea TeddeSilvia Piacentini
- Journals
- Neurological Sciences (28 papers)Journal of Alzheimer s Disease (22 papers)Neurology (19 papers)Neurobiology of Aging (17 papers)European Journal of Neurology (13 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Sandro Sorbi
370 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Neurology 1.7k
- Psychiatry and Mental health 3.1k
- Physiology 4.6k
- Biological Psychiatry 398
- Neurology 2.1k
Countries citing papers authored by Sandro Sorbi
This map shows the geographic impact of Sandro Sorbi'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 Sandro Sorbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandro Sorbi more than expected).
Fields of papers citing papers by Sandro Sorbi
This network shows the impact of papers produced by Sandro Sorbi. 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 Sandro Sorbi. The network helps show where Sandro Sorbi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandro Sorbi, 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 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 22 | |
| 9 | A proof-of-concept study applying machine learning methods to putative risk factors for eating disorders: results from the multi-centre European project on healthy eating | 2023 | 13 |
| 10 | 2022 | 2 | |
| 11 | 2022 | 4 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2018 | 20 | |
| 16 | 2009 | 133 | |
| 17 | 2006 | 53 | |
| 18 | 2000 | 5 | |
| 19 | 1999 | 28 | |
| 20 | Neuroanatomical and neurochemical correlates of cerebral dominance: A minireview | 1982 | 2 |
About Sandro Sorbi
Sandro Sorbi is a scholar working on Physiology, Psychiatry and Mental health, Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 379 papers that have together received 13.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (145 papers), Dementia and Cognitive Impairment Research (80 papers), Parkinson's Disease Mechanisms and Treatments (34 papers), Mitochondrial Function and Pathology (28 papers), Cholinesterase and Neurodegenerative Diseases (27 papers), Multiple Sclerosis Research Studies (26 papers), Functional Brain Connectivity Studies (21 papers) and Genetic Neurodegenerative Diseases (21 papers). The work is most often cited by research in Neurology (1.7k citations), Psychiatry and Mental health (3.1k citations), Physiology (4.6k citations), Biological Psychiatry (398 citations) and Neurology (2.1k citations). Sandro Sorbi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Benedetta Nacmias, Maria Pia Amato, Silvia Bagnoli, Gianfranco Siracusa, Emilio Portaccio, Valentina Zipoli, Andrea Tedde, Silvia Piacentini, Camilla Ferrari and Alberto Pupi. Their work appears in journals such as Neurological Sciences, Journal of Alzheimer s Disease, Neurology, Neurobiology of Aging and European Journal of Neurology.
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.