Davide Prezzi
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Surgery 15
- Colorectal and Anal Carcinomas 5
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 5
- Advanced MRI Techniques and Applications 3
- Co-authors
- Vicky Goh (19 shared papers)Christian Kelly‐Morland (5 shared papers)Sabrina H. Rossi (1 shared paper)Steve Halligan (4 shared papers)Gauraang Bhatnagar (3 shared papers)Roser Vega (3 shared papers)Stuart A. Taylor (4 shared papers)Ian Geh (2 shared papers)
- Journals
- European Radiology (5 papers)Seminars in Ultrasound CT and MRI (3 papers)Clinical Radiology (2 papers)Colorectal Disease (2 papers)Transplantation (2 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Davide Prezzi
34 papers receiving 827 citations
Peers
Comparison fields: 5 of 68
- Transplantation 108
- Radiology, Nuclear Medicine and Imaging 176
- Surgery 274
- Health Informatics 8
- Oncology 140
Countries citing papers authored by Davide Prezzi
This map shows the geographic impact of Davide Prezzi'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 Davide Prezzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Prezzi more than expected).
Fields of papers citing papers by Davide Prezzi
This network shows the impact of papers produced by Davide Prezzi. 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 Davide Prezzi. The network helps show where Davide Prezzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Prezzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 115 | |
| 2 | 2017 | 73 | |
| 3 | 2018 | 69 | |
| 4 | 2013 | 60 | |
| 5 | 2010 | 59 | |
| 6 | 2015 | 54 | |
| 7 | 2018 | 49 | |
| 8 | 2015 | 43 | |
| 9 | 2017 | 38 | |
| 10 | 2015 | 34 | |
| 11 | 2015 | 28 | |
| 12 | 2019 | 24 | |
| 13 | 2015 | 21 | |
| 14 | 2017 | 21 | |
| 15 | 2018 | 17 | |
| 16 | 2007 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 2007 | 15 | |
| 19 | 2022 | 12 | |
| 20 | 2019 | 12 |
About Davide Prezzi
Davide Prezzi is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 40 papers that have together received 848 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers), Colorectal and Anal Carcinomas (5 papers), Colorectal Cancer Surgical Treatments (4 papers), Renal cell carcinoma treatment (3 papers), Colorectal Cancer Screening and Detection (3 papers), Liver Disease and Transplantation (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Transplantation (108 citations), Radiology, Nuclear Medicine and Imaging (176 citations), Surgery (274 citations), Health Informatics (8 citations) and Oncology (140 citations). Davide Prezzi has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Vicky Goh, Christian Kelly‐Morland, Sabrina H. Rossi, Steve Halligan, Gauraang Bhatnagar, Roser Vega, Stuart A. Taylor, Ian Geh, Andrew G. Renehan and Brendan Moran. Their work appears in journals such as European Radiology, Seminars in Ultrasound CT and MRI, Clinical Radiology, Colorectal Disease and Transplantation.
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.