Giulia Polverari

693 citations
22 papers · 520 · h-index 10

Impact in

Papers in

Giulia Polverari

19 papers receiving 510 citations

Peers

Giulia Polverari
Comparison fields: 5 of 43
  • Radiology, Nuclear Medicine and Imaging 218
  • Pulmonary and Respiratory Medicine 195
  • Oncology 123
  • Health Informatics 7
  • Neurology 59
Replace Chiara Pozzessere with:
Chiara Pozzessere Italy
Francesco Inzirillo Italy
Stéphane Alard Belgium
Grigory Grigorievich Karmazanovsky Russia
Nicolò Gennaro Italy
Hsian-He Hsu Taiwan
Rony Kampalath United States
Bedii Kanmaz Türkiye
Giorgio Maria Agazzi Italy
David Cano Spain
Giulia Polverari relative to Chiara Pozzessere Italy Chiara Pozzessere's profile →
Citations per field
00.5×2×2.8×
Chiara Pozzessere · 1×
Citations per year

Countries citing papers authored by Giulia Polverari

Since Specialization
Citations

This map shows the geographic impact of Giulia Polverari'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 Polverari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Polverari more than expected).

Fields of papers citing papers by Giulia Polverari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giulia Polverari. 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 Polverari. The network helps show where Giulia Polverari may publish in the future.

Co-authors

The 25 scholars most cited alongside Giulia Polverari, 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 Polverari Line = papers co-authored together Giulia Polverari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 201576
3 201673
4 201958
5 202156
6 202046
7 201726
8 202023
9 202123
10 202218
11 20189
12 20189
13 20207
14 20165
15 20205
16 20213
17 20213
18 20242
19 20251
20 20250

About Giulia Polverari

Giulia Polverari is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Rheumatology, having authored 22 papers that have together received 520 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Urologic and reproductive health conditions (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Medical Imaging Techniques and Applications (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (218 citations), Pulmonary and Respiratory Medicine (195 citations), Oncology (123 citations), Health Informatics (7 citations) and Neurology (59 citations). Giulia Polverari has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Francesco Ceci, Stefano Fanti, Paolo Castellucci, Vincenzo Arena, Riccardo Schiavina, Tiziano Graziani, Daniele Penna, Ettore Pelosi, Annarita Ianniello and Marco Borghesi. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Clinical Genitourinary Cancer, Journal of Neurology, EJNMMI Physics and Journal of Nuclear 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.

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