Ivan Galimberti
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Axon Guidance and Neuronal Signaling
Papers in
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- Neuroscience and Neuropharmacology Research 7
- Axon Guidance and Neuronal Signaling 3
- Genetic Neurodegenerative Diseases 2
- Co-authors
- Pico Caroni (10 shared papers)Nadine Gogolla (6 shared papers)Yuichi Deguchi (2 shared papers)Vincenzo De Paola (3 shared papers)Flavio Donato (2 shared papers)Erik Cabuy (1 shared paper)Dominique Müller (1 shared paper)Stefano Alberi (1 shared paper)
- Journals
- Neuron (4 papers)Nature Protocols (3 papers)Nature Neuroscience (2 papers)Cell Reports (1 paper)Neurology (1 paper)
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Ivan Galimberti
15 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Developmental Neuroscience 202
- Cellular and Molecular Neuroscience 585
- Neurology 134
- Cognitive Neuroscience 253
- Aging 15
Countries citing papers authored by Ivan Galimberti
This map shows the geographic impact of Ivan Galimberti'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 Galimberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Galimberti more than expected).
Fields of papers citing papers by Ivan Galimberti
This network shows the impact of papers produced by Ivan Galimberti. 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 Galimberti. The network helps show where Ivan Galimberti may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Galimberti, 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 | 2009 | 152 | |
| 2 | 2014 | 136 | |
| 3 | 2006 | 125 | |
| 4 | 2011 | 120 | |
| 5 | 2016 | 116 | |
| 6 | 2006 | 96 | |
| 7 | 2007 | 67 | |
| 8 | 2006 | 58 | |
| 9 | 2010 | 51 | |
| 10 | 2022 | 35 | |
| 11 | 2006 | 32 | |
| 12 | 2013 | 25 | |
| 13 | 2022 | 18 | |
| 14 | 2013 | 8 | |
| 15 | 2024 | 4 |
About Ivan Galimberti
Ivan Galimberti is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Cognitive Neuroscience and Neurology, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Memory and Neural Mechanisms (3 papers), Inflammation biomarkers and pathways (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Developmental Neuroscience (202 citations), Cellular and Molecular Neuroscience (585 citations), Neurology (134 citations), Cognitive Neuroscience (253 citations) and Aging (15 citations). Ivan Galimberti has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Pico Caroni, Nadine Gogolla, Yuichi Deguchi, Vincenzo De Paola, Flavio Donato, Erik Cabuy, Dominique Müller, Stefano Alberi, Alexandre Ferrão Santos and Tewis Bouwmeester. Their work appears in journals such as Neuron, Nature Protocols, Nature Neuroscience, Cell Reports and Neurology.
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.