Giulia Riva

718 citations
37 papers · 340 · h-index 10

Impact in

    • Hepatocellular Carcinoma Treatment and Prognosis
  • Radiation top 10%
    • Advanced Radiotherapy Techniques

Papers in

Giulia Riva

37 papers receiving 336 citations

Peers

Giulia Riva
Comparison fields: 5 of 50
  • Hepatology 41
  • Radiation 50
  • Rheumatology 58
  • Radiology, Nuclear Medicine and Imaging 60
  • Pulmonary and Respiratory Medicine 63
Replace Chiara Valentini with:
Chiara Valentini Italy
Stefano Bracci Italy
Georgios Chatzikonstantinou Germany
Ferdinand Chu China
Gaetano Urso Italy
Fuxin Guo China
H D Suit United States
Mi Huang United States
S. Jorcano Spain
Alexandra Jensen Germany
Giulia Riva relative to Chiara Valentini Italy Chiara Valentini's profile →
Citations per field
00.5×8.3×
Chiara Valentini · 1×
Citations per year

Countries citing papers authored by Giulia Riva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Giulia Riva Line = papers co-authored together Giulia Riva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 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.
201344
2 202138
3 201234
4 201818
5 202018
6 202117
7 201816
8 202014
9 202014
10 201912
11 20209
12 20238
13 20228
14 20208
15 20217
16 20187
17 20247
18 20186
19 20186
20 20235

About Giulia Riva

Giulia Riva is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Radiology, Nuclear Medicine and Imaging, Radiation and Epidemiology, having authored 37 papers that have together received 340 indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (5 papers), Bone Tumor Diagnosis and Treatments (4 papers), Advanced Radiotherapy Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Prostate Cancer Treatment and Research (3 papers), Meningioma and schwannoma management (3 papers), Head and Neck Cancer Studies (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Hepatology (41 citations), Radiation (50 citations), Rheumatology (58 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Pulmonary and Respiratory Medicine (63 citations). Giulia Riva has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alberto Iannalfi, Ester Orlandi, Barbara Alicja Jereczek‐Fossa, Roberto Orecchia, Federica Cattani, Francesca Valvo, S. Comi, Benedetta Montagna, Guido Poggi and Lorenzo Preda. Their work appears in journals such as Physica Medica, Radiotherapy and Oncology, Cancers, Journal of Contemporary Brachytherapy and La radiologia medica.

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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