Fernanda Fabiani
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
Papers in
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- PI3K/AKT/mTOR signaling in cancer 4
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 2
- Cancer therapeutics and mechanisms 2
- Oncology 5
- Cancer-related Molecular Pathways 2
- Co-authors
- Giuseppe Viglietto (8 shared papers)Carmela De Marco (5 shared papers)Marianna Scrima (4 shared papers)Renato Franco (4 shared papers)Donatella Malanga (4 shared papers)Gaetano Rocco (3 shared papers)Giuseppe Alessandro Pirozzi (3 shared papers)Maria Teresa Di Martino (4 shared papers)
- Journals
- Genes (3 papers)Cell Cycle (2 papers)PLoS ONE (2 papers)BMC Infectious Diseases (1 paper)Oncogene (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Fernanda Fabiani
21 papers receiving 760 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 164
- Molecular Biology 477
- Oncology 162
- Hematology 68
- Pathology and Forensic Medicine 101
Countries citing papers authored by Fernanda Fabiani
This map shows the geographic impact of Fernanda Fabiani'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 Fernanda Fabiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda Fabiani more than expected).
Fields of papers citing papers by Fernanda Fabiani
This network shows the impact of papers produced by Fernanda Fabiani. 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 Fernanda Fabiani. The network helps show where Fernanda Fabiani may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernanda Fabiani, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 155 | |
| 2 | 2012 | 135 | |
| 3 | 2012 | 103 | |
| 4 | 2005 | 101 | |
| 5 | 2011 | 77 | |
| 6 | 2012 | 56 | |
| 7 | 2013 | 32 | |
| 8 | 2019 | 27 | |
| 9 | 2007 | 25 | |
| 10 | 2018 | 12 | |
| 11 | 2015 | 11 | |
| 12 | 2014 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2011 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2005 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2012 | 1 |
About Fernanda Fabiani
Fernanda Fabiani is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Immunology, having authored 21 papers that have together received 771 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Tuberous Sclerosis Complex Research (2 papers), Epigenetics and DNA Methylation (2 papers), Skin and Cellular Biology Research (2 papers), RNA modifications and cancer (2 papers), Cancer-related Molecular Pathways (2 papers), BRCA gene mutations in cancer (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Cancer Research (164 citations), Molecular Biology (477 citations), Oncology (162 citations), Hematology (68 citations) and Pathology and Forensic Medicine (101 citations). Fernanda Fabiani has collaborated with scholars based in Italy and United States. Frequent co-authors include Giuseppe Viglietto, Carmela De Marco, Marianna Scrima, Renato Franco, Donatella Malanga, Gaetano Rocco, Giuseppe Alessandro Pirozzi, Maria Teresa Di Martino, Pierfrancesco Tassone and Michele Caraglia. Their work appears in journals such as Genes, Cell Cycle, PLoS ONE, BMC Infectious Diseases and Oncogene.
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.