Francesca Caumo
Impact in
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- Digital Radiography and Breast Imaging
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Digital Radiography and Breast Imaging 20
- Oncology 22
- Global Cancer Incidence and Screening 18
- Colorectal Cancer Screening and Detection 7
- Co-authors
- Nehmat Houssami (10 shared papers)Silvia Brunelli (9 shared papers)Stefania Montemezzi (12 shared papers)Stefano Ciatto (13 shared papers)Paola Bricolo (6 shared papers)Petra Macaskill (6 shared papers)Daniela Bernardi (11 shared papers)Marvi Valentini (6 shared papers)
In The Last Decade
Francesca Caumo
45 papers receiving 1.3k citations
Francesca Caumo's Hit Papers
Peers
Comparison fields: 5 of 58
- Pulmonary and Respiratory Medicine 964
- Radiology, Nuclear Medicine and Imaging 653
- Artificial Intelligence 826
- Oncology 540
- Cancer Research 230
Countries citing papers authored by Francesca Caumo
This map shows the geographic impact of Francesca Caumo'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 Caumo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Caumo more than expected).
Fields of papers citing papers by Francesca Caumo
This network shows the impact of papers produced by Francesca Caumo. 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 Caumo. The network helps show where Francesca Caumo may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Caumo, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study Hit paper breakdown → | 2013 | 608 |
| 2 | 2017 | 88 | |
| 3 | 2018 | 82 | |
| 4 | 2014 | 66 | |
| 5 | 2018 | 48 | |
| 6 | 2018 | 43 | |
| 7 | 2014 | 40 | |
| 8 | 2013 | 39 | |
| 9 | 2018 | 35 | |
| 10 | 2018 | 32 | |
| 11 | 2022 | 29 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 20 | |
| 14 | 2016 | 17 | |
| 15 | 2009 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2011 | 13 | |
| 20 | 2007 | 13 |
About Francesca Caumo
Francesca Caumo is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cancer Research, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (20 papers), Global Cancer Incidence and Screening (18 papers), AI in cancer detection (15 papers), Medical Imaging Techniques and Applications (12 papers), Breast Cancer Treatment Studies (9 papers), MRI in cancer diagnosis (7 papers), Colorectal Cancer Screening and Detection (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (964 citations), Radiology, Nuclear Medicine and Imaging (653 citations), Artificial Intelligence (826 citations), Oncology (540 citations) and Cancer Research (230 citations). Francesca Caumo has collaborated with scholars based in Italy, Australia and Mexico. Frequent co-authors include Nehmat Houssami, Silvia Brunelli, Stefania Montemezzi, Stefano Ciatto, Paola Bricolo, Petra Macaskill, Daniela Bernardi, Marvi Valentini, Carmine Fantò and Marco Pellegrini. Their work appears in journals such as La radiologia medica, The Breast, European Journal of Cancer, European Radiology Experimental and European Journal of Radiology.
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.