Chiara Zanetta
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
Papers in
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- Multiple Sclerosis Research Studies 14
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- RNA modifications and cancer 5
- Co-authors
- Stefania Corti (11 shared papers)Monica Nizzardo (10 shared papers)Nereo Bresolin (8 shared papers)Giacomo P. Comi (8 shared papers)Chiara Simone (9 shared papers)Mafalda Rizzuti (1 shared paper)Agnese Ramirez (1 shared paper)Irene Faravelli (7 shared papers)
- Journals
- Journal of Neurology (7 papers)Journal of the Neurological Sciences (4 papers)Multiple Sclerosis Journal (2 papers)Neurological Sciences (2 papers)Clinical Therapeutics (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Chiara Zanetta
27 papers receiving 881 citations
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 112
- Genetics 239
- Neurology 199
- Molecular Biology 555
- Pathology and Forensic Medicine 140
Countries citing papers authored by Chiara Zanetta
This map shows the geographic impact of Chiara Zanetta'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 Chiara Zanetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Zanetta more than expected).
Fields of papers citing papers by Chiara Zanetta
This network shows the impact of papers produced by Chiara Zanetta. 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 Chiara Zanetta. The network helps show where Chiara Zanetta may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Zanetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 181 | |
| 2 | 2012 | 137 | |
| 3 | 2013 | 84 | |
| 4 | 2013 | 66 | |
| 5 | 2013 | 50 | |
| 6 | 2014 | 46 | |
| 7 | 2014 | 44 | |
| 8 | 2021 | 36 | |
| 9 | 2019 | 34 | |
| 10 | 2014 | 27 | |
| 11 | 2014 | 25 | |
| 12 | 2016 | 24 | |
| 13 | 2014 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2023 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 14 | |
| 19 | 2023 | 12 | |
| 20 | 2023 | 4 |
About Chiara Zanetta
Chiara Zanetta is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Neurology, Genetics and Infectious Diseases, having authored 33 papers that have together received 893 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (14 papers), Neurogenetic and Muscular Disorders Research (8 papers), Long-Term Effects of COVID-19 (5 papers), Polyomavirus and related diseases (5 papers), RNA modifications and cancer (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Peripheral Neuropathies and Disorders (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Developmental Neuroscience (112 citations), Genetics (239 citations), Neurology (199 citations), Molecular Biology (555 citations) and Pathology and Forensic Medicine (140 citations). Chiara Zanetta has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Stefania Corti, Monica Nizzardo, Nereo Bresolin, Giacomo P. Comi, Chiara Simone, Mafalda Rizzuti, Agnese Ramirez, Irene Faravelli, Giulietta Riboldi and Francesca Magri. Their work appears in journals such as Journal of Neurology, Journal of the Neurological Sciences, Multiple Sclerosis Journal, Neurological Sciences and Clinical Therapeutics.
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.