Filippo Piccinini
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
- Biophysics 32
- Cell Image Analysis Techniques 32
- Advanced Fluorescence Microscopy Techniques 5
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- 3D Printing in Biomedical Research 13
- Co-authors
- Alessandro Bevilacqua (26 shared papers)Anna Tesei (13 shared papers)Chiara Arienti (5 shared papers)Michele Zanoni (3 shared papers)Spartaco Santi (2 shared papers)R. Polico (1 shared paper)Alice Zamagni (1 shared paper)Péter Horváth (18 shared papers)
In The Last Decade
Filippo Piccinini
67 papers receiving 2.4k citations
Filippo Piccinini's Hit Papers
Peers
Comparison fields: 5 of 159
- Biophysics 500
- Oncology 514
- Biomedical Engineering 844
- Media Technology 151
- Cancer Research 204
Countries citing papers authored by Filippo Piccinini
This map shows the geographic impact of Filippo Piccinini'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 Filippo Piccinini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Piccinini more than expected).
Fields of papers citing papers by Filippo Piccinini
This network shows the impact of papers produced by Filippo Piccinini. 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 Filippo Piccinini. The network helps show where Filippo Piccinini may publish in the future.
Co-authors
The 25 scholars most cited alongside Filippo Piccinini, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 3D tumor spheroid models for in vitro therapeutic screening: a systematic approach to enhance the biological relevance of data obtained Hit paper breakdown → | 2016 | 855 |
| 2 | 2020 | 171 | |
| 3 | 2015 | 112 | |
| 4 | 2017 | 96 | |
| 5 | 2015 | 83 | |
| 6 | 2015 | 71 | |
| 7 | 2018 | 67 | |
| 8 | 2019 | 63 | |
| 9 | 2018 | 62 | |
| 10 | 2014 | 58 | |
| 11 | 2017 | 57 | |
| 12 | 2022 | 46 | |
| 13 | 2023 | 41 | |
| 14 | 2012 | 40 | |
| 15 | 2016 | 33 | |
| 16 | 2020 | 27 | |
| 17 | 2021 | 26 | |
| 18 | 2013 | 25 | |
| 19 | 2020 | 25 | |
| 20 | 2019 | 25 |
About Filippo Piccinini
Filippo Piccinini is a scholar working on Biophysics, Biomedical Engineering, Media Technology, Molecular Biology and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (32 papers), Image Processing Techniques and Applications (18 papers), 3D Printing in Biomedical Research (13 papers), Cancer Cells and Metastasis (8 papers), Advanced Vision and Imaging (6 papers), Single-cell and spatial transcriptomics (5 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Biophysics (500 citations), Oncology (514 citations), Biomedical Engineering (844 citations), Media Technology (151 citations) and Cancer Research (204 citations). Filippo Piccinini has collaborated with scholars based in Italy, Finland and Hungary. Frequent co-authors include Alessandro Bevilacqua, Anna Tesei, Chiara Arienti, Michele Zanoni, Spartaco Santi, R. Polico, Alice Zamagni, Péter Horváth, Giovanni Martinelli and Gabriel Landini. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Computational and Structural Biotechnology Journal, Bioinformatics, Scientific Data and Sensors.
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.