S. Busoni

2.2k total citations
34 papers, 587 citations indexed

About

S. Busoni is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, S. Busoni has authored 34 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in S. Busoni's work include Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (6 papers) and Radiation Dose and Imaging (5 papers). S. Busoni is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (6 papers) and Radiation Dose and Imaging (5 papers). S. Busoni collaborates with scholars based in Italy, United Kingdom and United States. S. Busoni's co-authors include L.N. Mazzoni, Vittorio Miele, Edoardo Cavigli, Diletta Cozzi, Silvia Lucarini, Marco Albanesi, Silvia Luvarà, Chiara Moroni, Alessandra Bindi and Giulia Grazzini and has published in prestigious journals such as Physics in Medicine and Biology, Journal of Magnetic Resonance Imaging and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

S. Busoni

30 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Busoni Italy 13 368 156 127 89 78 34 587
Francesca Coppola Italy 16 524 1.4× 161 1.0× 135 1.1× 48 0.5× 143 1.8× 26 806
Chiara Moroni Italy 15 304 0.8× 436 2.8× 96 0.8× 138 1.6× 57 0.7× 31 840
Fabrizio Urraro Italy 17 349 0.9× 229 1.5× 136 1.1× 99 1.1× 69 0.9× 55 744
Tiziano Polidori Italy 12 523 1.4× 122 0.8× 158 1.2× 294 3.3× 125 1.6× 27 713
Emanuele Michieletti Italy 9 286 0.8× 206 1.3× 164 1.3× 233 2.6× 32 0.4× 28 586
Gisella Guido Italy 12 555 1.5× 120 0.8× 165 1.3× 296 3.3× 142 1.8× 19 743
Edoardo Cavigli Italy 14 321 0.9× 350 2.2× 99 0.8× 114 1.3× 42 0.5× 41 712
Pinggui Lei China 9 322 0.9× 91 0.6× 45 0.4× 159 1.8× 58 0.7× 36 611
Bari Dane United States 16 350 1.0× 117 0.8× 79 0.6× 77 0.9× 187 2.4× 83 749
Giuliana Giacobbe Italy 10 236 0.6× 112 0.7× 74 0.6× 67 0.8× 39 0.5× 19 349

Countries citing papers authored by S. Busoni

Since Specialization
Citations

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

Fields of papers citing papers by S. Busoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Busoni

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

All Works

20 of 20 papers shown
1.
2.
Danti, Ginevra, Linda Calistri, Diletta Cozzi, et al.. (2025). Radiomics-based prediction of microsatellite instability in colorectal cancer: a non-invasive approach to treatment stratification. La radiologia medica. 130(11). 1731–1741.
3.
Pietragalla, Michele, et al.. (2024). Predicting Response to Exclusive Combined Radio-Chemotherapy in Naso-Oropharyngeal Cancer: The Role of Texture Analysis. Diagnostics. 14(10). 1036–1036. 3 indexed citations
4.
Danti, Ginevra, et al.. (2023). Radiomic Features Are Predictive of Response in Rectal Cancer Undergoing Therapy. Diagnostics. 13(15). 2573–2573. 6 indexed citations
5.
Danti, Ginevra, Giulia Grazzini, S. Busoni, et al.. (2023). Branch duct-intraductal papillary mucinous neoplasms (BD-IPMNs): an MRI-based radiomic model to determine the malignant degeneration potential. La radiologia medica. 128(4). 383–392. 11 indexed citations
6.
Cozzi, Diletta, Edoardo Cavigli, Elena Bertelli, et al.. (2023). Reproducibility of CT radiomic features in lung neuroendocrine tumours (NETs) patients: analysis in a heterogeneous population. La radiologia medica. 128(2). 203–211. 6 indexed citations
7.
Cozzi, Diletta, Edoardo Cavigli, Ginevra Danti, et al.. (2022). Radiomics in pulmonary neuroendocrine tumours (NETs). La radiologia medica. 127(6). 609–615. 34 indexed citations
8.
Pradella, Silvia, L.N. Mazzoni, Giulia Grazzini, et al.. (2022). FLORA software: semi-automatic LGE-CMR analysis tool for cardiac lesions identification and characterization. La radiologia medica. 127(6). 589–601. 5 indexed citations
9.
Grazzini, Giulia, Vincenza Granata, S. Busoni, et al.. (2022). Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs): a radiomic model to predict tumor grade. La radiologia medica. 127(9). 928–938. 45 indexed citations
10.
Busoni, S., M. Bruzzi, M. Betti, et al.. (2022). Surgeon eye lens dose monitoring in interventional neuroradiology, cardiovascular and radiology procedures. Physica Medica. 104. 123–128. 2 indexed citations
11.
12.
Danti, Ginevra, Francesca Castiglione, Luca Messerini, et al.. (2022). Correlation of CT radiomic features for GISTs with pathological classification and molecular subtypes: preliminary and monocentric experience. La radiologia medica. 127(2). 117–128. 31 indexed citations
13.
Moroni, Chiara, Diletta Cozzi, Marco Albanesi, et al.. (2021). Chest X-ray in the emergency department during COVID-19 pandemic descending phase in Italy: correlation with patients’ outcome. La radiologia medica. 126(5). 661–668. 22 indexed citations
14.
Cozzi, Diletta, Marco Albanesi, Edoardo Cavigli, et al.. (2020). Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome. La radiologia medica. 125(8). 730–737. 195 indexed citations
15.
Doria, Sandra, L. Fedeli, Francesco Rossi, et al.. (2020). Addressing the efficiency of X-ray protective eyewear: Proposal for the introduction of a new comprehensive parameter, the Eye Protection Effectiveness (EPE). Physica Medica. 70. 216–223. 5 indexed citations
16.
Betti, M., L.N. Mazzoni, Giacomo Belli, et al.. (2019). Surgeon eye lens dose monitoring in catheterization lab: A multi-center survey. Physica Medica. 60. 127–131. 6 indexed citations
17.
Busoni, S., L. Fedeli, Giacomo Belli, et al.. (2018). Pre and post operative radiation protection in Ru-106 brachytherapy ophthalmic plaque surgery and related material shielding properties. Physica Medica. 57. 245–250. 4 indexed citations
18.
Colagrande, Stefano, Linda Calistri, Giulia Grazzini, et al.. (2018). MRI features of primary hepatic lymphoma. Abdominal Radiology. 43(9). 2277–2287. 34 indexed citations
19.
Colagrande, Stefano, et al.. (2015). Assessment of Liver Perfusion by IntraVoxel Incoherent Motion (IVIM) Magnetic Resonance–Diffusion-Weighted Imaging. Journal of Computer Assisted Tomography. 39(3). 1–1. 19 indexed citations
20.
Mazzocchi, S., et al.. (2005). AEC set-up optimisation with computed radiography imaging. Radiation Protection Dosimetry. 117(1-3). 169–173. 8 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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