Flavia Filippetti
- Molecular Biology top 10%
- Oncology top 5%
- Cell Biology top 2%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Giovanni ScambiaCristiano FerliniGiuseppina RaspaglioSimona MozzettiDaniela GalloEnrica MartinelliSilvia PrisleiGabriella Ferrandina
- Topics
- Microtubule and mitosis dynamics (10 papers)Cancer Treatment and Pharmacology (5 papers)Ovarian cancer diagnosis and treatment (4 papers)
- Cited by
- Cell BiologyOncologyCancer Research
- Partner nations
- ItalyUnited States
In The Last Decade
Flavia Filippetti
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 867
- Oncology 537
- Cell Biology 465
- Cancer Research 296
- Pulmonary and Respiratory Medicine 148
Countries citing papers authored by Flavia Filippetti
This map shows the geographic impact of Flavia Filippetti'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 Flavia Filippetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flavia Filippetti more than expected).
Fields of papers citing papers by Flavia Filippetti
This network shows the impact of papers produced by Flavia Filippetti. 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 Flavia Filippetti. The network helps show where Flavia Filippetti may publish in the future.
Co-authorship network of co-authors of Flavia Filippetti
This figure shows the co-authorship network connecting the top 25 collaborators of Flavia Filippetti. A scholar is included among the top collaborators of Flavia Filippetti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Flavia Filippetti. Flavia Filippetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 21 | |
| 3 | 28 | |
| 4 | 20 | |
| 5 | 25 | |
| 6 | 28 | |
| 7 | 54 | |
| 8 | 64 | |
| 9 | 11 | |
| 10 | 57 | |
| 11 | 13 | |
| 12 | 77 | |
| 13 | 29 | |
| 14 | 102 | |
| 15 | 270 | |
| 16 | 93 | |
| 17 | Class III beta-tubulin overexpression is a prominent mechanism of paclitaxel resistance in ovarian cancer patients. | 286 |
| 18 | Molecular mechanisms involved in paclitaxel-resistance in advanced ovarian cancer | 4 |
| 19 | 13 | |
| 20 | 122 |
About Flavia Filippetti
Flavia Filippetti is a scholar working on Cell Biology, Reproductive Medicine and Oncology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (10 papers), Cancer Treatment and Pharmacology (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). The work is most often cited by research in Cell Biology (465 citations), Oncology (537 citations) and Cancer Research (296 citations). Flavia Filippetti has collaborated with scholars based in Italy and United States. Frequent co-authors include Giovanni Scambia, Cristiano Ferlini, Giuseppina Raspaglio, Simona Mozzetti, Daniela Gallo, Enrica Martinelli, Silvia Prislei, Gabriella Ferrandina, Franco O. Ranelletti and Paola Concolino. Their work appears in journals such as Cancer Research, Scientific Reports and Clinical Cancer 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.