Luca Basso
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
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- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
Papers in
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- MRI in cancer diagnosis 8
- Radiomics and Machine Learning in Medical Imaging 8
- Advanced MRI Techniques and Applications 3
- Medical Imaging Techniques and Applications 2
- Surgery 4
- Co-authors
- Marco Salvatore (19 shared papers)Carlo Cavaliere (14 shared papers)Emanuele Nicolai (9 shared papers)Valentina Brancato (6 shared papers)Valeria Romeo (5 shared papers)Giuseppe Costanzo (3 shared papers)Alfonso Ragozzino (3 shared papers)Simone Maurea (3 shared papers)
- Journals
- Scientific Reports (3 papers)Dose-Response (2 papers)Cancers (2 papers)Cortex (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- ItalyUnited KingdomJapan
In The Last Decade
Luca Basso
22 papers receiving 280 citations
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 181
- Pulmonary and Respiratory Medicine 80
- Cancer Research 36
- Otorhinolaryngology 10
- Pathology and Forensic Medicine 22
Countries citing papers authored by Luca Basso
This map shows the geographic impact of Luca Basso'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 Luca Basso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Basso more than expected).
Fields of papers citing papers by Luca Basso
This network shows the impact of papers produced by Luca Basso. 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 Luca Basso. The network helps show where Luca Basso may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Basso, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 62 | |
| 2 | 2021 | 32 | |
| 3 | 2020 | 30 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 17 | |
| 6 | 2019 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2020 | 2 |
About Luca Basso
Luca Basso is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 25 papers that have together received 282 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Advanced MRI Techniques and Applications (3 papers), Medical Imaging Techniques and Applications (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (181 citations), Pulmonary and Respiratory Medicine (80 citations), Cancer Research (36 citations), Otorhinolaryngology (10 citations) and Pathology and Forensic Medicine (22 citations). Luca Basso has collaborated with scholars based in Italy, United Kingdom and Japan. Frequent co-authors include Marco Salvatore, Carlo Cavaliere, Emanuele Nicolai, Valentina Brancato, Valeria Romeo, Giuseppe Costanzo, Alfonso Ragozzino, Simone Maurea, Teresa Perillo and Marco Aiello. Their work appears in journals such as Scientific Reports, Dose-Response, Cancers, Cortex and Journal of Clinical Medicine.
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.