Francesca Ruberti

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

Impact in

Papers in

Francesca Ruberti

36 papers receiving 1.3k citations

Peers

Francesca Ruberti
Comparison fields: 5 of 90
  • Developmental Neuroscience 176
  • Cellular and Molecular Neuroscience 482
  • Cancer Research 271
  • Physiology 321
  • Neurology 96
Replace Lakhu Keshvara with:
Lakhu Keshvara United States
Anne Bernard France
Bernd Seilheimer Germany
Tetsuya Takano Japan
M. E. Greenberg United States
Diane F. Matesic United States
James M. Angelastro United States
Nicole Salès France
Santiago Quiroga Argentina
Shinichiro Taya Japan
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Citations per field
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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-authors

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

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000243
2 2010203
3 2000188
4 1995142
5 200056
6 199442
7 200941
8 201439
9 200039
10 201436
11 199835
12 200033
13 200932
14 199327
15 201123
16 199123
17 202020
18 201019
19 201516
20 199712

About Francesca Ruberti

Francesca Ruberti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Developmental Neuroscience and Physiology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (9 papers), MicroRNA in disease regulation (9 papers), RNA Research and Splicing (6 papers), Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers), RNA Interference and Gene Delivery (4 papers) and Nuclear Receptors and Signaling (4 papers). The work is most often cited by research in Developmental Neuroscience (176 citations), Cellular and Molecular Neuroscience (482 citations), Cancer Research (271 citations), Physiology (321 citations) and Neurology (96 citations). Francesca Ruberti has collaborated with scholars based in Italy, Germany and United States. 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 Journal of Neuroscience, Proceedings of the National Academy of Sciences, PROTOPLASMA, Developmental Brain Research and Neuroreport.

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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