Giulia Riva

36 papers receiving 312 citations

Peers

Giulia Riva
Comparison fields: 5 of 51
  • Radiation 77
  • Hepatology 41
  • Rheumatology 59
  • Health Informatics 5
  • Radiology, Nuclear Medicine and Imaging 84
Replace Kaixian Zhang with:
Kaixian Zhang China
Mi Huang United States
Emma D’Ippolito Italy
Stephanie K. Schaub United States
S. Comi Italy
Tohru Okada Japan
Stefano Bracci Italy
Susovan Banerjee India
Nor Shazrina Sulaiman Japan
Alfred L. Goldson United States
Giulia Riva relative to Kaixian Zhang China Kaixian Zhang's profile →
Citations per field
00.5×3.7×
Kaixian Zhang · 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 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.
201343
2 202137
3 201227
4 202017
5 201817
6 202116
7 201816
8 202013
9 202013
10 201912
11 20208
12 20247
13 20207
14 20217
15 20227
16 20236
17 20186
18 20185
19 20235
20 20195

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.

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