Carmine Fantò

1.7k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Carmine Fantò is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology. According to data from OpenAlex, Carmine Fantò has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 12 papers in Artificial Intelligence and 11 papers in Oncology. Recurrent topics in Carmine Fantò's work include AI in cancer detection (12 papers), Digital Radiography and Breast Imaging (12 papers) and Global Cancer Incidence and Screening (11 papers). Carmine Fantò is often cited by papers focused on AI in cancer detection (12 papers), Digital Radiography and Breast Imaging (12 papers) and Global Cancer Incidence and Screening (11 papers). Carmine Fantò collaborates with scholars based in Italy and Australia. Carmine Fantò's co-authors include Daniela Bernardi, Marvi Valentini, Marco Pellegrini, Nehmat Houssami, Petra Macaskill, Stefano Ciatto, Francesca Caumo, Silvia Brunelli, Paola Bricolo and Stefania Montemezzi and has published in prestigious journals such as The Lancet Oncology, European Journal of Cancer and American Journal of Roentgenology.

In The Last Decade

Carmine Fantò

18 papers receiving 1.2k 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
Carmine Fantò Italy 12 1.0k 875 564 530 189 18 1.2k
Melissa A. Durand United States 11 1.2k 1.2× 1.0k 1.2× 761 1.3× 543 1.0× 215 1.1× 18 1.5k
Marvi Valentini Italy 14 1.0k 1.0× 875 1.0× 582 1.0× 532 1.0× 212 1.1× 21 1.3k
Randi Gullien Norway 12 1.4k 1.4× 1.2k 1.4× 910 1.6× 582 1.1× 212 1.1× 13 1.7k
Silvia Brunelli Italy 8 786 0.8× 665 0.8× 418 0.7× 406 0.8× 136 0.7× 9 938
Francesca Caumo Italy 15 964 0.9× 826 0.9× 653 1.2× 540 1.0× 230 1.2× 49 1.4k
Paola Bricolo Italy 9 724 0.7× 603 0.7× 398 0.7× 376 0.7× 165 0.9× 10 913
Jaime Geisel United States 8 675 0.7× 591 0.7× 461 0.8× 475 0.9× 202 1.1× 10 1.1k
Ellen B. Eben Norway 6 1.1k 1.1× 917 1.0× 698 1.2× 434 0.8× 151 0.8× 8 1.3k
Debra S. Copit United States 6 644 0.6× 508 0.6× 583 1.0× 344 0.6× 236 1.2× 7 1.1k
Denise M. Chough United States 14 1.1k 1.0× 989 1.1× 878 1.6× 289 0.5× 119 0.6× 22 1.4k

Countries citing papers authored by Carmine Fantò

Since Specialization
Citations

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

Fields of papers citing papers by Carmine Fantò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmine Fantò

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

All Works

18 of 18 papers shown
1.
Bernardi, Daniela, Giulia Vatteroni, Alessandra Acquaviva, et al.. (2022). Contrast-Enhanced Mammography Versus MRI in the Evaluation of Neoadjuvant Therapy Response in Patients With Breast Cancer: A Prospective Study. American Journal of Roentgenology. 219(6). 884–894. 16 indexed citations
2.
Ferro, Antonella, Carlos A. Garcia‐Etienne, Orazio Caffo, et al.. (2021). Learning from organisational changes in the management of breast cancer patients during the COVID‐19 pandemic: Preparing for a second wave at a breast unit in northern Italy. The International Journal of Health Planning and Management. 36(4). 1030–1037. 4 indexed citations
3.
Ferro, Antonella, Carlos A. Garcia‐Etienne, Orazio Caffo, et al.. (2020). Management of Breast Cancer Patients during the COVID-19 Pandemic in Northern Italy. Breast Care. 16(4). 418–421. 1 indexed citations
6.
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
7.
Houssami, Nehmat, Daniela Bernardi, Marco Pellegrini, et al.. (2017). Breast cancer detection using single-reading of breast tomosynthesis (3D-mammography) compared to double-reading of 2D-mammography: Evidence from a population-based trial. Cancer Epidemiology. 47. 94–99. 31 indexed citations
8.
Bernardi, Daniela, Petra Macaskill, Marco Pellegrini, et al.. (2016). Breast cancer screening with tomosynthesis (3D mammography) with acquired or synthetic 2D mammography compared with 2D mammography alone (STORM-2): a population-based prospective study. The Lancet Oncology. 17(8). 1105–1113. 214 indexed citations
9.
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
10.
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
11.
12.
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 →
13.
Bernardi, Daniela, Stefano Ciatto, Marco Pellegrini, et al.. (2012). Prospective study of breast tomosynthesis as a triage to assessment in screening. Breast Cancer Research and Treatment. 133(1). 267–271. 67 indexed citations
14.
Bernardi, Daniela, Marco Pellegrini, Carmine Fantò, et al.. (2012). Interobserver agreement in breast radiological density attribution according to BI-RADS quantitative classification. La radiologia medica. 117(4). 519–528. 31 indexed citations
17.
Pellegrini, Marco, Daniela Bernardi, Carmine Fantò, et al.. (2011). Analysis of proportional incidence and review of interval cancer cases observed within the mammography screening programme in Trento province, Italy. La radiologia medica. 116(8). 1217–1225. 13 indexed citations
18.
Minniti, Salvatore, et al.. (2006). Focal breast lesions with benign appearances. Review of eight breast cancers with initial features of intramammary lymph node. La radiologia medica. 111(8). 1078–1086. 5 indexed citations

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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