Giancarlo Zito
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies 6
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 5
- Neural dynamics and brain function 3
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- Neuroscience and Neural Engineering 12
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies 8
- Psychiatry and Mental health top 10%
- Dementia and Cognitive Impairment Research 3
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- Muscle activation and electromyography studies 5
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- Alzheimer's disease research and treatments 4
- Co-authors
- Franca TecchioPaolo Maria RossiniPatrizio PasqualettiCarlo CottoneAndrea CancelliMaria Maddalena FilippiJerome N. SanesDomenico Lupoi
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Giancarlo Zito
28 papers receiving 828 citations
Peers
Comparison fields: 5 of 93
- Neurology 313
- Cognitive Neuroscience 388
- Cellular and Molecular Neuroscience 187
- Pathology and Forensic Medicine 155
- Psychiatry and Mental health 107
Countries citing papers authored by Giancarlo Zito
This map shows the geographic impact of Giancarlo Zito'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 Giancarlo Zito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giancarlo Zito more than expected).
Fields of papers citing papers by Giancarlo Zito
This network shows the impact of papers produced by Giancarlo Zito. 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 Giancarlo Zito. The network helps show where Giancarlo Zito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giancarlo Zito, 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 | 2021 | 8 | |
| 2 | 2019 | 44 | |
| 3 | 2017 | 4 | |
| 4 | 2016 | 25 | |
| 5 | 2016 | 1 | |
| 6 | 2015 | 45 | |
| 7 | 2014 | 27 | |
| 8 | 2014 | 30 | |
| 9 | 2014 | 93 | |
| 10 | 2014 | 26 | |
| 11 | 2012 | 15 | |
| 12 | 2011 | 40 | |
| 13 | 2010 | 33 | |
| 14 | 2009 | 18 | |
| 15 | 2009 | 41 | |
| 16 | 2008 | 34 | |
| 17 | 2008 | 36 | |
| 18 | 2006 | 86 | |
| 19 | 2006 | 23 | |
| 20 | 2001 | 86 |
About Giancarlo Zito
Giancarlo Zito is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 29 papers that have together received 838 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), Multiple Sclerosis Research Studies (8 papers), Transcranial Magnetic Stimulation Studies (6 papers), Muscle activation and electromyography studies (5 papers), Functional Brain Connectivity Studies (5 papers), Alzheimer's disease research and treatments (4 papers), Neural dynamics and brain function (3 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Neurology (313 citations), Cognitive Neuroscience (388 citations) and Cellular and Molecular Neuroscience (187 citations). Giancarlo Zito has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Franca Tecchio, Paolo Maria Rossini, Patrizio Pasqualetti, Carlo Cottone, Andrea Cancelli, Maria Maddalena Filippi, Jerome N. Sanes, Domenico Lupoi, Anna Ghazaryan and G Hagberg. Their work appears in journals such as PLoS ONE, NeuroImage and Brain.
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.