Giulia Riva
Impact in
- Radiation top 10%
- Advanced Radiotherapy Techniques
-
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in ⓘ
- Radiation 12
- Advanced Radiotherapy Techniques 11
- Co-authors
- Alberto Iannalfi (12 shared papers)Ester Orlandi (11 shared papers)Barbara Alicja Jereczek‐Fossa (16 shared papers)Roberto Orecchia (18 shared papers)Federica Cattani (14 shared papers)Benedetta Montagna (1 shared paper)Alberto Riccardi (1 shared paper)Lorenzo Preda (5 shared papers)
- Journals
- Physica Medica (5 papers)Radiotherapy and Oncology (3 papers)Journal of Contemporary Brachytherapy (3 papers)Cancers (3 papers)Medical Oncology (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Giulia Riva
36 papers receiving 312 citations
Peers
Comparison fields: 5 of 51
- Radiation 77
- Hepatology 41
- Rheumatology 59
- Health Informatics 5
- Radiology, Nuclear Medicine and Imaging 84
Countries citing papers authored by Giulia Riva
This map shows the geographic impact of Giulia Riva'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 Giulia Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Riva more than expected).
Fields of papers citing papers by Giulia Riva
This network shows the impact of papers produced by Giulia Riva. 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 Giulia Riva. The network helps show where Giulia Riva may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Riva, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Microwave ablation of hepatocellular carcinoma using a new percutaneous device: preliminary results. | 2013 | 43 |
| 2 | 2021 | 37 | |
| 3 | 2012 | 27 | |
| 4 | 2020 | 17 | |
| 5 | 2018 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2018 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 5 |
About Giulia Riva
Giulia Riva is a scholar working on Radiation, Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Rheumatology, having authored 36 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (11 papers), Prostate Cancer Treatment and Research (5 papers), Radiation Therapy and Dosimetry (5 papers), Prostate Cancer Diagnosis and Treatment (4 papers), MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Bone Tumor Diagnosis and Treatments (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Radiation (77 citations), Hepatology (41 citations), Rheumatology (59 citations), Health Informatics (5 citations) and Radiology, Nuclear Medicine and Imaging (84 citations). Giulia Riva has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Alberto Iannalfi, Ester Orlandi, Barbara Alicja Jereczek‐Fossa, Roberto Orecchia, Federica Cattani, Benedetta Montagna, Alberto Riccardi, Lorenzo Preda, S. Comi and Guido Poggi. Their work appears in journals such as Physica Medica, Radiotherapy and Oncology, Journal of Contemporary Brachytherapy, Cancers and Medical Oncology.
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.