Silvia Brunelli

1.3k total citations · 1 hit paper
9 papers, 938 citations indexed

About

Silvia Brunelli is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology. According to data from OpenAlex, Silvia Brunelli has authored 9 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Artificial Intelligence and 5 papers in Oncology. Recurrent topics in Silvia Brunelli's work include Digital Radiography and Breast Imaging (8 papers), AI in cancer detection (8 papers) and Global Cancer Incidence and Screening (5 papers). Silvia Brunelli is often cited by papers focused on Digital Radiography and Breast Imaging (8 papers), AI in cancer detection (8 papers) and Global Cancer Incidence and Screening (5 papers). Silvia Brunelli collaborates with scholars based in Italy and Australia. Silvia Brunelli's co-authors include Francesca Caumo, Nehmat Houssami, Paola Bricolo, Petra Macaskill, Carmine Fantò, Stefania Montemezzi, Daniela Bernardi, Marvi Valentini, Stefano Ciatto and Marco Pellegrini and has published in prestigious journals such as Radiology, The Lancet Oncology and European Journal of Cancer.

In The Last Decade

Silvia Brunelli

9 papers receiving 913 citations

Hit Papers

Integration of 3D digital mammography with tomosynthesis ... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Silvia Brunelli Italy 8 786 665 418 406 136 9 938
Paola Bricolo Italy 9 724 0.9× 603 0.9× 398 1.0× 376 0.9× 165 1.2× 10 913
Carmine Fantò Italy 12 1.0k 1.3× 875 1.3× 564 1.3× 530 1.3× 189 1.4× 18 1.2k
Madhavi Raghu United States 8 539 0.7× 511 0.8× 375 0.9× 221 0.5× 98 0.7× 13 740
Julianne S. Greenberg United States 3 602 0.8× 481 0.7× 372 0.9× 308 0.8× 99 0.7× 6 778
Marvi Valentini Italy 14 1.0k 1.3× 875 1.3× 582 1.4× 532 1.3× 212 1.6× 21 1.3k
Francesca Caumo Italy 15 964 1.2× 826 1.2× 653 1.6× 540 1.3× 230 1.7× 49 1.4k
Ellen B. Eben Norway 6 1.1k 1.4× 917 1.4× 698 1.7× 434 1.1× 151 1.1× 8 1.3k
Daniel Förnvik Sweden 15 467 0.6× 394 0.6× 379 0.9× 208 0.5× 196 1.4× 44 713
Debra S. Copit United States 6 644 0.8× 508 0.8× 583 1.4× 344 0.8× 236 1.7× 7 1.1k
Hanna Sartor Sweden 14 323 0.4× 405 0.6× 338 0.8× 235 0.6× 164 1.2× 35 751

Countries citing papers authored by Silvia Brunelli

Since Specialization
Citations

This map shows the geographic impact of Silvia Brunelli'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 Silvia Brunelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Brunelli more than expected).

Fields of papers citing papers by Silvia Brunelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Brunelli. 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 Silvia Brunelli. The network helps show where Silvia Brunelli may publish in the future.

Co-authorship network of co-authors of Silvia Brunelli

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Brunelli. A scholar is included among the top collaborators of Silvia Brunelli 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 Silvia Brunelli. Silvia Brunelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Caumo, Francesca, Stefania Montemezzi, Giovanna Romanucci, et al.. (2020). Repeat Screening Outcomes with Digital Breast Tomosynthesis Plus Synthetic Mammography for Breast Cancer Detection: Results from the Prospective Verona Pilot Study. Radiology. 298(1). 49–57. 12 indexed citations
2.
Caumo, Francesca, Giovanna Romanucci, Kylie E Hunter, et al.. (2018). Comparison of breast cancers detected in the Verona screening program following transition to digital breast tomosynthesis screening with cancers detected at digital mammography screening. Breast Cancer Research and Treatment. 170(2). 391–397. 35 indexed citations
3.
Houssami, Nehmat, Daniela Bernardi, Francesca Caumo, et al.. (2018). Interval breast cancers in the ‘screening with tomosynthesis or standard mammography’ (STORM) population-based trial. The Breast. 38. 150–153. 43 indexed citations
4.
5.
Houssami, Nehmat, Petra Macaskill, Daniela Bernardi, et al.. (2014). Breast screening using 2D-mammography or integrating digital breast tomosynthesis (3D-mammography) for single-reading or double-reading – Evidence to guide future screening strategies. European Journal of Cancer. 50(10). 1799–1807. 66 indexed citations
6.
Bernardi, Daniela, Francesca Caumo, Petra Macaskill, et al.. (2014). Effect of integrating 3D-mammography (digital breast tomosynthesis) with 2D-mammography on radiologists’ true-positive and false-positive detection in a population breast screening trial. European Journal of Cancer. 50(7). 1232–1238. 40 indexed citations
7.
8.
Carbonaro, Luca Alessandro, Giorgio Brambilla, Silvia Brunelli, et al.. (2013). Interval breast cancers: Absolute and proportional incidence and blinded review in a community mammographic screening program. European Journal of Radiology. 83(2). e84–e91. 7 indexed citations
9.
Ciatto, Stefano, Nehmat Houssami, Daniela Bernardi, et al.. (2013). Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study. The Lancet Oncology. 14(7). 583–589. 608 indexed citations breakdown →

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.

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