F Piccotti
Impact in
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
-
- MicroRNA in disease regulation
Papers in
- Oncology 9
- Inflammatory Biomarkers in Disease Prognosis 3
- Cancer Immunotherapy and Biomarkers 2
- Cancer Cells and Metastasis 2
- Co-authors
- Fabio Corsi (17 shared papers)Marta Truffi (13 shared papers)Carlo Morasso (12 shared papers)Sara Albasini (10 shared papers)Laura Villani (5 shared papers)Luca Sorrentino (3 shared papers)Manuela Agozzino (3 shared papers)Serena Mazzucchelli (5 shared papers)
- Journals
- Breast Cancer Research and Treatment (2 papers)Frontiers in Medicine (1 paper)Cancer Cell International (1 paper)Frontiers in Oncology (1 paper)Theranostics (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
F Piccotti
25 papers receiving 468 citations
Peers
Comparison fields: 5 of 78
- Biophysics 61
- Cancer Research 114
- Oncology 133
- Molecular Biology 210
- Analytical Chemistry 25
Countries citing papers authored by F Piccotti
This map shows the geographic impact of F Piccotti'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 F Piccotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Piccotti more than expected).
Fields of papers citing papers by F Piccotti
This network shows the impact of papers produced by F Piccotti. 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 F Piccotti. The network helps show where F Piccotti may publish in the future.
Co-authors
The 25 scholars most cited alongside F Piccotti, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2015 | 63 | |
| 3 | 2020 | 52 | |
| 4 | 2020 | 44 | |
| 5 | 2016 | 31 | |
| 6 | 2021 | 26 | |
| 7 | 2019 | 25 | |
| 8 | 2023 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2022 | 20 | |
| 11 | 2023 | 18 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About F Piccotti
F Piccotti is a scholar working on Oncology, Cancer Research, Biophysics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 476 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (4 papers), Extracellular vesicles in disease (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer Cells and Metastasis (2 papers), Effects of Radiation Exposure (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Biophysics (61 citations), Cancer Research (114 citations), Oncology (133 citations), Molecular Biology (210 citations) and Analytical Chemistry (25 citations). F Piccotti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Fabio Corsi, Marta Truffi, Carlo Morasso, Sara Albasini, Laura Villani, Luca Sorrentino, Manuela Agozzino, Serena Mazzucchelli, Arianna Bonizzi and Raffaele Allevi. Their work appears in journals such as Breast Cancer Research and Treatment, Frontiers in Medicine, Cancer Cell International, Frontiers in Oncology and Theranostics.
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.