Daniele Regge

9.9k total citations · 1 hit paper
206 papers, 5.4k citations indexed

About

Daniele Regge is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Daniele Regge has authored 206 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Radiology, Nuclear Medicine and Imaging, 81 papers in Pulmonary and Respiratory Medicine and 63 papers in Oncology. Recurrent topics in Daniele Regge's work include Radiomics and Machine Learning in Medical Imaging (76 papers), Colorectal Cancer Screening and Detection (41 papers) and MRI in cancer diagnosis (36 papers). Daniele Regge is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (76 papers), Colorectal Cancer Screening and Detection (41 papers) and MRI in cancer diagnosis (36 papers). Daniele Regge collaborates with scholars based in Italy, United States and Greece. Daniele Regge's co-authors include Valentina Giannini, Simone Mazzetti, Filippo Russo, Laura Martincich, Stefano Cirillo, Emanuele Neri, Giovanni Carlo Anselmetti, Filippo Montemurro, Massimo Aglietta and Antonio Manca and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Daniele Regge

195 papers receiving 5.3k citations

Hit Papers

Drug-induced interstitial lung disease during cancer ther... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Drug-induced interstitial lung disease during cancer therapies: expert opinion on diagnosis and treatment
    2022 130 citations Angelo Vanzulli, Daniele Regge et al. profile →

Peers

Daniele Regge
Maurice A. A. J. van den Bosch Netherlands
Ur Metser Canada
Abraham H. Dachman United States
Massimo Bellomi Italy
Ukihide Tateishi Japan
Michael Kuo United States
Laurent Dercle United States
Noriyuki Moriyama Japan
Junting Zheng United States
X. Allen Li United States
Maurice A. A. J. van den Bosch Netherlands
Daniele Regge
Citations per year, relative to Daniele Regge Daniele Regge (= 1×) peers Maurice A. A. J. van den Bosch

Countries citing papers authored by Daniele Regge

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Regge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Regge

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Regge. A scholar is included among the top collaborators of Daniele Regge 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 Daniele Regge. Daniele Regge 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.
Pezoulas, Vasileios C., Eugenia Mylona, Nikolaos S. Tachos, et al.. (2025). Simplatab: An Automated Machine Learning Framework for Radiomics-Based Bi-Parametric MRI Detection of Clinically Significant Prostate Cancer. Bioengineering. 12(3). 242–242. 1 indexed citations
2.
Mazzetti, Simone, Renato Cuocolo, Riccardo Faletti, et al.. (2024). Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI. Cancers. 16(1). 203–203. 7 indexed citations
3.
4.
Giannini, Valentina, et al.. (2023). Could normalization improve robustness of abdominal MRI radiomic features?. Biomedical Physics & Engineering Express. 9(5). 55002–55002. 11 indexed citations
5.
Cappello, Giovanni, Valentina Giannini, Roberto Cannella, et al.. (2023). A mutation-based radiomics signature predicts response to imatinib in Gastrointestinal Stromal Tumors (GIST). European Journal of Radiology Open. 11. 100505–100505. 2 indexed citations
6.
Prades, Joan, Lissandra Dal Lago, Karolien Goffin, et al.. (2022). Use of information and communication technologies (ICTs) in cancer multidisciplinary team meetings: an explorative study based on EU healthcare professionals. BMJ Open. 12(10). e051181–e051181. 6 indexed citations
7.
Τriantafyllou, Κonstantinos, Paraskevas Gkolfakis, Ian M. Gralnek, et al.. (2021). Diagnosis and management of acute lower gastrointestinal bleeding: European Society of Gastrointestinal Endoscopy (ESGE) Guideline. Endoscopy. 53(8). 850–868. 86 indexed citations
8.
Coppola, Francesca, Valentina Giannini, Michela Gabelloni, et al.. (2021). Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice. Diagnostics. 11(5). 756–756. 39 indexed citations
9.
Defeudis, Arianna, Giovanni Cappello, Francesco Rizzetto, et al.. (2021). Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3305–3308. 7 indexed citations
10.
Sartore‐Bianchi, Andrea, Federica Tosi, Francesca Bergamo, et al.. (2020). 507P Central nervous system recurrence in HER2-positive metastatic colorectal cancer. Annals of Oncology. 31. S455–S455. 2 indexed citations
11.
Giannini, Valentina, Arianna Defeudis, Samanta Rosati, et al.. (2020). An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images. PubMed. 2020. 1339–1342. 12 indexed citations
12.
Coppola, Francesca, Lorenzo Faggioni, Daniele Regge, et al.. (2020). Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey. La radiologia medica. 126(1). 63–71. 136 indexed citations
13.
Regge, Daniele, et al.. (2020). Imaging of Adverse Events Related to Checkpoint Inhibitor Therapy. Diagnostics. 10(4). 216–216. 8 indexed citations
14.
Traverso, Alberto, M. Agnello, Christian Bracco, et al.. (2018). A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies. European Radiology. 29(1). 144–152. 26 indexed citations
15.
Mazzetti, Simone, Valentina Giannini, Filippo Russo, & Daniele Regge. (2018). Computer-aided diagnosis of prostate cancer using multi-parametric MRI: comparison between PUN and Tofts models. Physics in Medicine and Biology. 63(9). 95004–95004. 6 indexed citations
16.
17.
Iafrate, Franco, Loredana Correale, Cesare Hassan, et al.. (2013). Adverse events of computed tomography colonography: An Italian National Survey. Digestive and Liver Disease. 45(8). 645–650. 17 indexed citations
18.
Russo, Filippo, Simone Mazzetti, Giovanni Grignani, et al.. (2011). In vivo characterisation of soft tissue tumours by 1.5-T proton MR spectroscopy. European Radiology. 22(5). 1131–1139. 14 indexed citations
19.
Campanella, Delia, Lia Morra, Silvia Delsanto, et al.. (2009). Comparison of three different iodine-based bowel regimens for CT colonography. European Radiology. 20(2). 348–358. 28 indexed citations
20.
Fea, Antonio Maria, et al.. (2005). Magnetic resonance imaging and Orbscan assessment of the anterior chamber. Journal of Cataract & Refractive Surgery. 31(9). 1713–1718. 37 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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