Francesca Persichetti
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- Genetic Neurodegenerative Diseases 30
- Hereditary Neurological Disorders 4
- Neurology top 2%
- Neurological disorders and treatments 6
- Molecular Biology top 5%
- Mitochondrial Function and Pathology 19
- RNA Research and Splicing 9
- RNA modifications and cancer 5
- Ubiquitin and proteasome pathways 4
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 8
- Cell Biology top 10%
- Co-authors
- Marcy E. MacDonaldJames F. GusellaSandra McNeilJean‐Paul VonsattelGlenn T. BarnesStefano GustincichMabel P. DuyaoPei Ge
- Journals
- Neurobiology of Disease (4 papers)Frontiers in Cellular Neuroscience (4 papers)Human Molecular Genetics (3 papers)
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Francesca Persichetti
51 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 1.7k
- Neurology 735
- Molecular Biology 2.1k
- Cancer Research 273
- Cell Biology 207
Countries citing papers authored by Francesca Persichetti
This map shows the geographic impact of Francesca Persichetti'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 Persichetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Persichetti more than expected).
Fields of papers citing papers by Francesca Persichetti
This network shows the impact of papers produced by Francesca Persichetti. 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 Persichetti. The network helps show where Francesca Persichetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesca Persichetti, 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 | 2023 | 22 | |
| 2 | 2022 | 9 | |
| 3 | 2021 | 18 | |
| 4 | 2021 | 17 | |
| 5 | 2019 | 19 | |
| 6 | 2017 | 25 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 28 | |
| 9 | 2015 | 75 | |
| 10 | 2011 | 53 | |
| 11 | 2009 | 8 | |
| 12 | 2007 | 91 | |
| 13 | 2002 | 7 | |
| 14 | 1999 | 53 | |
| 15 | 1998 | 224 | |
| 16 | 1997 | 117 | |
| 17 | 1995 | 9 | |
| 18 | 1993 | 19 | |
| 19 | 1992 | 13 | |
| 20 | 1990 | 66 |
About Francesca Persichetti
Francesca Persichetti is a scholar working on Cellular and Molecular Neuroscience, Cancer Research, Molecular Biology, Neurology and Neurology, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (30 papers), Mitochondrial Function and Pathology (19 papers), RNA Research and Splicing (9 papers), Cancer-related molecular mechanisms research (8 papers), Neurological disorders and treatments (6 papers), RNA modifications and cancer (5 papers), Hereditary Neurological Disorders (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Neurology (735 citations), Molecular Biology (2.1k citations), Cancer Research (273 citations) and Cell Biology (207 citations). Francesca Persichetti has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Marcy E. MacDonald, James F. Gusella, Sandra McNeil, Jean‐Paul Vonsattel, Glenn T. Barnes, Stefano Gustincich, Mabel P. Duyao, Pei Ge, Alexandra L. Joyner and Anna B. Auerbach. Their work appears in journals such as Neurobiology of Disease, Frontiers in Cellular Neuroscience, Human Molecular Genetics, Annals of Human Genetics and Journal of Biological Chemistry.
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.