Daniela Ferrari
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Nuclear Receptors and Signaling
Papers in
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- Pluripotent Stem Cells Research 18
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- Neurogenesis and neuroplasticity mechanisms 12
- Co-authors
- Angelo L. Vescovi (33 shared papers)Rosario Sánchez‐Pernaute (6 shared papers)Ole Isacson (3 shared papers)Ángel Viñuela (2 shared papers)Lidia De Filippis (8 shared papers)Lars Björklund (1 shared paper)Oliver Cooper (1 shared paper)Ivar Mendez (1 shared paper)
- Journals
- Stem Cell Research (14 papers)PLoS ONE (4 papers)International Journal of Molecular Sciences (2 papers)Autoimmunity Reviews (2 papers)Animals (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Daniela Ferrari
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 92
- Developmental Neuroscience 388
- Cellular and Molecular Neuroscience 518
- Genetics 188
- Neurology 230
- Psychiatry and Mental health 169
Countries citing papers authored by Daniela Ferrari
This map shows the geographic impact of Daniela Ferrari'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 Daniela Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ferrari more than expected).
Fields of papers citing papers by Daniela Ferrari
This network shows the impact of papers produced by Daniela Ferrari. 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 Daniela Ferrari. The network helps show where Daniela Ferrari may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Ferrari, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 341 | |
| 2 | 2008 | 214 | |
| 3 | 2010 | 168 | |
| 4 | 2005 | 102 | |
| 5 | 2012 | 66 | |
| 6 | 2005 | 59 | |
| 7 | 2010 | 45 | |
| 8 | 2006 | 43 | |
| 9 | 2014 | 42 | |
| 10 | 2018 | 40 | |
| 11 | 2010 | 40 | |
| 12 | 2007 | 36 | |
| 13 | 2008 | 35 | |
| 14 | 2010 | 31 | |
| 15 | 2010 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2006 | 26 | |
| 18 | 2003 | 20 | |
| 19 | 2020 | 19 | |
| 20 | 2018 | 18 |
About Daniela Ferrari
Daniela Ferrari is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (18 papers), Neurogenesis and neuroplasticity mechanisms (12 papers), Amyotrophic Lateral Sclerosis Research (7 papers), Nerve injury and regeneration (7 papers), Genetic Neurodegenerative Diseases (5 papers), Biomedical Ethics and Regulation (3 papers), Mesenchymal stem cell research (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Developmental Neuroscience (388 citations), Cellular and Molecular Neuroscience (518 citations), Genetics (188 citations), Neurology (230 citations) and Psychiatry and Mental health (169 citations). Daniela Ferrari has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Angelo L. Vescovi, Rosario Sánchez‐Pernaute, Ole Isacson, Ángel Viñuela, Lidia De Filippis, Lars Björklund, Oliver Cooper, Ivar Mendez, Alain Dagher and Lorenzo Lorusso. Their work appears in journals such as Stem Cell Research, PLoS ONE, International Journal of Molecular Sciences, Autoimmunity Reviews and Animals.
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.