Daniela Ferrari

2.5k citations
54 papers · 2.0k · h-index 23

Impact in

Papers in

Daniela Ferrari

54 papers receiving 2.0k citations

Peers

Daniela Ferrari
Comparison fields: 5 of 94
  • Developmental Neuroscience 507
  • Cellular and Molecular Neuroscience 657
  • Genetics 315
  • Neurology 376
  • Neurology 110
Replace C. Simonin with:
C. Simonin France
Nobutaka Horie Japan
Hyun Sook Kim South Korea
Ruth Martha Stassart Germany
Hong Jun Lee South Korea
Stephen L. Minger United Kingdom
Laurent Lescaudron France
Marco Bacigaluppi Italy
Minoru Hoshimaru Japan
Masahiro Kameda Japan
Daniela Ferrari relative to C. Simonin France C. Simonin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Ferrari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005372
2 2008230
3 2010175
4 2015165
5 2005103
6 201994
7 201270
8 200560
9 201051
10 201442
11 201042
12 201841
13 200641
14 201040
15 200839
16 200738
17 201836
18 201935
19 201035
20 201834

About Daniela Ferrari

Daniela Ferrari is a scholar working on Developmental Neuroscience, Neurology, Cellular and Molecular Neuroscience, Genetics and Molecular Biology, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (20 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), Amyotrophic Lateral Sclerosis Research (12 papers), Nerve injury and regeneration (8 papers), Genetic Neurodegenerative Diseases (5 papers), Neurogenetic and Muscular Disorders Research (4 papers), Biomedical Ethics and Regulation (4 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Developmental Neuroscience (507 citations), Cellular and Molecular Neuroscience (657 citations), Genetics (315 citations), Neurology (376 citations) and Neurology (110 citations). Daniela Ferrari has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Luigi Angelo Vescovi, Rosario Sánchez‐Pernaute, Ole Isacson, Ángel Viñuela, Lidia De Filippis, Ivar M. Mendez, Lars J Bjorklund, Alain Dagher, Oliver Cooper and Lorenzo Lorusso. Their work appears in journals such as Stem Cell Research, Cell Death and Disease, PLoS ONE, Stem Cells Translational Medicine and International Journal of Molecular 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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