Francesca Ruberti

1.7k citations
36 papers · 1.3k indexed · h-index 18

Impact in

Papers in

Francesca Ruberti

36 papers receiving 1.3k citations

Peers

Francesca Ruberti
Comparison fields: 5 of 92
  • Developmental Neuroscience 178
  • Cellular and Molecular Neuroscience 489
  • Cancer Research 293
  • Physiology 336
  • Neurology 100
Replace Roman Urfer with:
Roman Urfer United States
Anne Bernard France
Leslayann Schecterson United States
James M. Angelastro United States
Niamh X. Cawley United States
Lakhu Keshvara United States
Bernd Seilheimer Germany
M. E. Greenberg United States
Rime Madani Switzerland
Cristiana Mollinari Italy
Francesca Ruberti relative to Roman Urfer United States Roman Urfer's profile →
Citations per field
00.5×2.5×
Roman Urfer · 1×
Citations per year

Countries citing papers authored by Francesca Ruberti

Since Specialization
Citations

This map shows the geographic impact of Francesca Ruberti'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 Francesca Ruberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Ruberti more than expected).

Fields of papers citing papers by Francesca Ruberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesca Ruberti. 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 Francesca Ruberti. The network helps show where Francesca Ruberti may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Francesca Ruberti, 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 Francesca Ruberti Line = papers co-authored together Francesca Ruberti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20218
2 202020
3 201516
4 201439
5 201123
6 2010202
7 201019
8 200932
9 200941
10 200310
11 200056
12 200033
13 19985
14 199835
15 19975
16 199712
17 19973
18
Monoclonal antibodies to NGF affect learning of radial maze in adult rats
19951
19 1995142
20
RIBOSOMAL rRNA GENES OF PHASEOLUS COCCINEUS 3 DIFFERENTIAL AMPLIFICATION OF REPLICATION UNITS IN THE EMBRYO SUSPENSOR
19932

About Francesca Ruberti

Francesca Ruberti is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Cancer Research, Biotechnology and Molecular Biology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), MicroRNA in disease regulation (9 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), RNA Research and Splicing (6 papers), Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers), RNA regulation and disease (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Developmental Neuroscience (178 citations), Cellular and Molecular Neuroscience (489 citations), Cancer Research (293 citations), Physiology (336 citations) and Neurology (100 citations). Francesca Ruberti has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Antonino Cattaneo, Christian Barbato, Carlo Cogoni, Simona Capsoni, A Comparini, Nicoletta Berardi, Elisa Vilardo, Gabriele Ugolini, Silvia Biocca and Elena Di Daniel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience, PROTOPLASMA, Developmental Brain Research and Behavioural Brain Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026