Ivan Arisi
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Bioinformatics and Genomic Networks 6
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- Nerve injury and regeneration 11
- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Mara D’Onofrio (41 shared papers)Rossella Brandi (30 shared papers)Antonino Cattaneo (26 shared papers)Simona Capsoni (13 shared papers)Armando Felsani (6 shared papers)Nadia D’Ambrosi (2 shared papers)Cinzia Volonté (2 shared papers)Chiara Parisi (2 shared papers)
- Journals
- PLoS ONE (6 papers)BMC Neuroscience (3 papers)International Journal of Molecular Sciences (3 papers)Journal of Cellular Physiology (2 papers)Cells (2 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Ivan Arisi
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 124
- Developmental Neuroscience 95
- Neurology 167
- Cancer Research 264
- Cellular and Molecular Neuroscience 272
- Biological Psychiatry 33
Countries citing papers authored by Ivan Arisi
This map shows the geographic impact of Ivan Arisi'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 Ivan Arisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Arisi more than expected).
Fields of papers citing papers by Ivan Arisi
This network shows the impact of papers produced by Ivan Arisi. 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 Ivan Arisi. The network helps show where Ivan Arisi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Arisi, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 130 | |
| 2 | 2011 | 110 | |
| 3 | 2010 | 97 | |
| 4 | 2013 | 86 | |
| 5 | 2018 | 81 | |
| 6 | 2009 | 71 | |
| 7 | 2011 | 58 | |
| 8 | 2018 | 47 | |
| 9 | 2013 | 37 | |
| 10 | 2017 | 37 | |
| 11 | 2012 | 36 | |
| 12 | 2010 | 33 | |
| 13 | 2020 | 33 | |
| 14 | 2010 | 32 | |
| 15 | 2012 | 29 | |
| 16 | 2006 | 27 | |
| 17 | 2011 | 27 | |
| 18 | 2015 | 24 | |
| 19 | 2009 | 22 | |
| 20 | 2018 | 20 |
About Ivan Arisi
Ivan Arisi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cancer Research and Developmental Neuroscience, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), MicroRNA in disease regulation (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Bioinformatics and Genomic Networks (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Developmental Neuroscience (95 citations), Neurology (167 citations), Cancer Research (264 citations), Cellular and Molecular Neuroscience (272 citations) and Biological Psychiatry (33 citations). Ivan Arisi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mara D’Onofrio, Rossella Brandi, Antonino Cattaneo, Simona Capsoni, Armando Felsani, Nadia D’Ambrosi, Cinzia Volonté, Chiara Parisi, Igea D’Agnano and Manuela Natoli. Their work appears in journals such as PLoS ONE, BMC Neuroscience, International Journal of Molecular Sciences, Journal of Cellular Physiology and Cells.
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.