Paolina Tuttobene
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Cancer Research
- Co-authors
- Daniela BernardiMarvi ValentiniCarmine FantòMarco PellegriniNehmat HoussamiPetra MacaskillA. LupariaStefano Ciatto
- Topics
- AI in cancer detection (4 papers)Global Cancer Incidence and Screening (3 papers)Digital Radiography and Breast Imaging (3 papers)
In The Last Decade
Paolina Tuttobene
5 papers receiving 315 citations
Peers
Comparison fields: 5 of 25
- Pulmonary and Respiratory Medicine 261
- Artificial Intelligence 235
- Radiology, Nuclear Medicine and Imaging 156
- Oncology 118
- Cancer Research 53
Countries citing papers authored by Paolina Tuttobene
This map shows the geographic impact of Paolina Tuttobene'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 Paolina Tuttobene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolina Tuttobene more than expected).
Fields of papers citing papers by Paolina Tuttobene
This network shows the impact of papers produced by Paolina Tuttobene. 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 Paolina Tuttobene. The network helps show where Paolina Tuttobene may publish in the future.
Co-authorship network of co-authors of Paolina Tuttobene
This figure shows the co-authorship network connecting the top 25 collaborators of Paolina Tuttobene. A scholar is included among the top collaborators of Paolina Tuttobene 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 Paolina Tuttobene. Paolina Tuttobene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 214 | |
| 3 | 67 | |
| 4 | 4 | |
| 5 | 6 |
About Paolina Tuttobene
Paolina Tuttobene is a scholar working on Cancer Research, Artificial Intelligence and Dermatology, having authored 5 papers that have together received 322 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Global Cancer Incidence and Screening (3 papers) and Digital Radiography and Breast Imaging (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (261 citations), Artificial Intelligence (235 citations) and Radiology, Nuclear Medicine and Imaging (156 citations). Paolina Tuttobene has collaborated with scholars based in Italy and Australia. Frequent co-authors include Daniela Bernardi, Marvi Valentini, Carmine Fantò, Marco Pellegrini, Nehmat Houssami, Petra Macaskill, A. Luparia, Stefano Ciatto, Paolo Peterlongo and D Aldovini. Their work appears in journals such as The Lancet Oncology, Breast Cancer Research and Treatment and Cancer Epidemiology.
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.