Valerio Zerbi
Impact in
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
- Neurology top 5%
Papers in
-
- Functional Brain Connectivity Studies 22
- Neural dynamics and brain function 21
- Autism Spectrum Disorder Research 7
- Co-authors
- Nicole WenderothMarkus RudinArend HeerschapAmanda J. KiliaanMarija MarkicevicJoanes GrandjeanBen FulcherDiane Jansen
- Journals
- NeuroImage (5 papers)Journal of Neuroscience (4 papers)Cell Reports (3 papers)eLife (3 papers)Nature Communications (2 papers)
- Partner nations
- SwitzerlandNetherlandsItaly
In The Last Decade
Valerio Zerbi
58 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 131
- Cognitive Neuroscience 1.1k
- Neurology 290
- Cellular and Molecular Neuroscience 531
- Biological Psychiatry 72
- Radiology, Nuclear Medicine and Imaging 462
Countries citing papers authored by Valerio Zerbi
This map shows the geographic impact of Valerio Zerbi'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 Valerio Zerbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valerio Zerbi more than expected).
Fields of papers citing papers by Valerio Zerbi
This network shows the impact of papers produced by Valerio Zerbi. 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 Valerio Zerbi. The network helps show where Valerio Zerbi may publish in the future.
Co-authors
The 25 scholars most cited alongside Valerio Zerbi, 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 | 2024 | 8 | |
| 2 | 2024 | 31 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 57 | |
| 7 | 2021 | 85 | |
| 8 | 2020 | 49 | |
| 9 | 2020 | 108 | |
| 10 | 2020 | 88 | |
| 11 | 2019 | 138 | |
| 12 | 2019 | 205 | |
| 13 | 2019 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2017 | 56 | |
| 16 | 2013 | 25 | |
| 17 | 2013 | 53 | |
| 18 | Layer-specific diffusion weighted imaging in human primary visual cortex in vitro. | 2011 | 1 |
| 19 | 2010 | 24 | |
| 20 | 2008 | 27 |
About Valerio Zerbi
Valerio Zerbi is a scholar working on Computational Mathematics, Cognitive Neuroscience, Biological Psychiatry, Neurology and Cellular and Molecular Neuroscience, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (22 papers), Neural dynamics and brain function (21 papers), Neuroscience and Neuropharmacology Research (12 papers), Alzheimer's disease research and treatments (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Advanced MRI Techniques and Applications (8 papers), Neurological Disease Mechanisms and Treatments (7 papers) and Autism Spectrum Disorder Research (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Neurology (290 citations), Cellular and Molecular Neuroscience (531 citations), Biological Psychiatry (72 citations) and Radiology, Nuclear Medicine and Imaging (462 citations). Valerio Zerbi has collaborated with scholars based in Switzerland, Netherlands and Italy. Frequent co-authors include Nicole Wenderoth, Markus Rudin, Arend Heerschap, Amanda J. Kiliaan, Marija Markicevic, Joanes Grandjean, Ben Fulcher, Diane Jansen, Maximilian Wiesmann and Joshua H. Balsters. Their work appears in journals such as NeuroImage, Journal of Neuroscience, Cell Reports, eLife and Nature Communications.
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.