Ivan Arisi

2.4k citations
75 papers · 1.9k · h-index 22

Impact in

Papers in

Ivan Arisi

73 papers receiving 1.9k citations

Peers

Ivan Arisi
Comparison fields: 5 of 131
  • Developmental Neuroscience 98
  • Neurology 175
  • Aging 37
  • Cancer Research 259
  • Cellular and Molecular Neuroscience 287
Replace Yi‐Chuan Cheng with:
Yi‐Chuan Cheng Taiwan
Jan Baumgart Germany
Ram Madabhushi United States
Kevin A. Wilkinson United Kingdom
Sharon E. Benashski United States
Guillermo Bodega Spain
Hyunjoo Cha‐Molstad South Korea
Stéphanie Le Gras France
Tommy L. Lewis United States
Fabrice Morin France
Ivan Arisi relative to Yi‐Chuan Cheng Taiwan Yi‐Chuan Cheng's profile →
Citations per field
00.5×1.5×2×2.5×
Yi‐Chuan Cheng · 1×
Citations per year

Countries citing papers authored by Ivan Arisi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ivan Arisi Line = papers co-authored together Ivan Arisi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015237
2 2013136
3 2011115
4 2010101
5 201890
6 201388
7 200973
8 201161
9 201852
10 202041
11 201541
12 202141
13 201340
14 201040
15 201240
16 201740
17 201033
18 201230
19 201130
20 200629

About Ivan Arisi

Ivan Arisi is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Neurology and Physiology, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nerve injury and regeneration (12 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), MicroRNA in disease regulation (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Dementia and Cognitive Impairment Research (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Developmental Neuroscience (98 citations), Neurology (175 citations), Aging (37 citations), Cancer Research (259 citations) and Cellular and Molecular Neuroscience (287 citations). Ivan Arisi has collaborated with scholars based in Italy, United States and United Kingdom. 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, International Journal of Molecular Sciences, BMC Neuroscience, Journal of Cellular Physiology and Proceedings of the National Academy of Sciences.

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.

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