Daniele Regge
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Surgery top 2%
- Oncology top 2%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Valentina GianniniSimone MazzettiFilippo RussoLaura MartincichStefano CirilloEmanuele NeriGiovanni Carlo AnselmettiFilippo Montemurro
- Topics
- Radiomics and Machine Learning in Medical Imaging (76 papers)Colorectal Cancer Screening and Detection (41 papers)MRI in cancer diagnosis (36 papers)
- Journals
- JAMAJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesGreece
In The Last Decade
Daniele Regge
195 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Radiology, Nuclear Medicine and Imaging 2.2k
- Pulmonary and Respiratory Medicine 2.0k
- Surgery 1.6k
- Oncology 1.6k
- Pathology and Forensic Medicine 815
Countries citing papers authored by Daniele Regge
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 86 | |
| 8 | 39 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 136 | |
| 13 | 8 | |
| 14 | 26 | |
| 15 | 6 | |
| 16 | 157 | |
| 17 | 17 | |
| 18 | 14 | |
| 19 | 28 | |
| 20 | 37 |
About Daniele Regge
Daniele Regge is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 206 papers that have together received 5.4k indexed citations. Recurring topics across this 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). The work is most often cited by research in Health Informatics (170 citations), Radiology, Nuclear Medicine and Imaging (2.2k citations) and Hepatology (521 citations). Daniele Regge has collaborated with scholars based in Italy, United States and Greece. Frequent 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. Their work appears in journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.