Giulia Polverari

657 total citations
17 papers, 469 citations indexed

About

Giulia Polverari is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Giulia Polverari has authored 17 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Giulia Polverari's work include Medical Imaging Techniques and Applications (7 papers), Prostate Cancer Treatment and Research (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Giulia Polverari is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Prostate Cancer Treatment and Research (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Giulia Polverari collaborates with scholars based in Italy, United States and Belarus. Giulia Polverari's co-authors include Francesco Ceci, Stefano Fanti, Paolo Castellucci, Vincenzo Arena, Riccardo Schiavina, Tiziano Graziani, Annarita Ianniello, Ettore Pelosi, Daniele Penna and E. Gallio and has published in prestigious journals such as Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging and Journal of Neurology.

In The Last Decade

Giulia Polverari

17 papers receiving 457 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Giulia Polverari Italy 10 272 228 163 91 78 17 469
Francesco Inzirillo Italy 5 181 0.7× 353 1.5× 75 0.5× 45 0.5× 42 0.5× 18 452
Giuseppe Cicchetti Italy 10 299 1.1× 349 1.5× 99 0.6× 46 0.5× 25 0.3× 25 557
Marco Chiappetta Italy 14 169 0.6× 368 1.6× 126 0.8× 88 1.0× 131 1.7× 95 631
Arianna Massaro Italy 11 263 1.0× 228 1.0× 63 0.4× 65 0.7× 25 0.3× 24 466
Kristine S. Burk United States 10 190 0.7× 67 0.3× 188 1.2× 105 1.2× 21 0.3× 34 380
Rony Kampalath United States 6 371 1.4× 350 1.5× 170 1.0× 43 0.5× 16 0.2× 13 574
Willem Grootjans Netherlands 11 325 1.2× 195 0.9× 63 0.4× 32 0.4× 15 0.2× 39 452
Chiara Pozzessere Italy 12 117 0.4× 144 0.6× 132 0.8× 37 0.4× 22 0.3× 31 338
Boris Gorodetski Germany 8 77 0.3× 84 0.4× 76 0.5× 79 0.9× 47 0.6× 11 284
Matteo Muto Italy 11 90 0.3× 208 0.9× 61 0.4× 37 0.4× 22 0.3× 30 330

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-authorship network of co-authors of Giulia Polverari

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Polverari. A scholar is included among the top collaborators of Giulia Polverari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giulia Polverari. Giulia Polverari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Canosa, Antonio, Alessio Martino, Alessandro Giuliani, et al.. (2022). Brain metabolic differences between pure bulbar and pure spinal ALS: a 2-[18F]FDG-PET study. Journal of Neurology. 270(2). 953–959. 13 indexed citations
2.
Liberini, Virginia, Marco Rubatto, Roberto Passera, et al.. (2021). Predictive Value of Baseline [18F]FDG PET/CT for Response to Systemic Therapy in Patients with Advanced Melanoma. Journal of Clinical Medicine. 10(21). 4994–4994. 2 indexed citations
3.
Liberini, Virginia, Osvaldo Rampado, E. Gallio, et al.. (2021). Impact of segmentation and discretization on radiomic features in 68Ga-DOTA-TOC PET/CT images of neuroendocrine tumor. EJNMMI Physics. 8(1). 21–21. 22 indexed citations
4.
Penna, Daniele, Vincenzo Arena, Giulia Polverari, et al.. (2021). Artificial intelligence for reduced dose 18F-FDG PET examinations: a real-world deployment through a standardized framework and business case assessment. EJNMMI Physics. 8(1). 25–25. 44 indexed citations
5.
Benz, Matthias, Wesley R. Armstrong, Francesco Ceci, et al.. (2021). 18F-FDG PET/CT Imaging Biomarkers for Early and Late Evaluation of Response to First-Line Chemotherapy in Patients with Pancreatic Ductal Adenocarcinoma. Journal of Nuclear Medicine. 63(2). 199–204. 3 indexed citations
6.
Polverari, Giulia, Francesco Ceci, Valentina Bertaglia, et al.. (2020). 18F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival. Cancers. 12(5). 1163–1163. 77 indexed citations
7.
8.
Bianchi, Lorenzo, Marco Borghesi, Riccardo Schiavina, et al.. (2020). Predictive accuracy and clinical benefit of a nomogram aimed to predict 68Ga-PSMA PET/CT positivity in patients with prostate cancer recurrence and PSA < 1 ng/ml external validation on a single institution database. European Journal of Nuclear Medicine and Molecular Imaging. 47(9). 2100–2105. 20 indexed citations
9.
Polverari, Giulia, Francesco Ceci, Roberto Passera, et al.. (2020). [18F]FDG PET/CT for evaluating early response to neoadjuvant chemotherapy in pediatric patients with sarcoma: a prospective single-center trial. EJNMMI Research. 10(1). 122–122. 6 indexed citations
10.
Ceci, Francesco, Paolo Castellucci, Giulia Polverari, & Andrei Iagaru. (2020). Clinical application of Fluciclovine PET, choline PET and gastrin-releasing polypeptide receptor (bombesin) targeting PET in prostate cancer. Current Opinion in Urology. 30(5). 641–648. 5 indexed citations
11.
Ceci, Francesco, Lorenzo Bianchi, Marco Borghesi, et al.. (2019). Prediction nomogram for 68Ga-PSMA-11 PET/CT in different clinical settings of PSA failure after radical treatment for prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 47(1). 136–146. 52 indexed citations
12.
Polverari, Giulia, Francesco Ceci, Martin Allen-Auerbach, et al.. (2018). Solitary Mucinous Prostate Adenocarcinoma Lung Metastasis Detected by 68Ga-PSMA-11 PET/CT. Clinical Genitourinary Cancer. 17(1). e53–e55. 8 indexed citations
13.
Polverari, Giulia, et al.. (2018). Male Breast Cancer Detected by 68Ga-PSMA-11 PET/CT in a Patient With Prostate Cancer With Pelvic Lymph Node Metastasis. Clinical Genitourinary Cancer. 17(2). 154–156. 9 indexed citations
14.
Angelini, Andrea, Francesco Ceci, Paolo Castellucci, et al.. (2017). The role of 18F-FDG PET/CT in the detection of osteosarcoma recurrence. European Journal of Nuclear Medicine and Molecular Imaging. 44(10). 1712–1720. 26 indexed citations
15.
Graziani, Tiziano, Francesco Ceci, Paolo Castellucci, et al.. (2016). 11C-Choline PET/CT for restaging prostate cancer. Results from 4,426 scans in a single-centre patient series. European Journal of Nuclear Medicine and Molecular Imaging. 43(11). 1971–1979. 69 indexed citations
16.
Polverari, Giulia, Francesco Ceci, Tiziano Graziani, et al.. (2016). A Rare Case of Epididymal Metastasis After Radical Prostatectomy Detected by 68Ga-PSMA PET/CT. Clinical Genitourinary Cancer. 15(3). e525–e527. 5 indexed citations
17.
Ambrosini, Valentina, Davide Campana, Giulia Polverari, et al.. (2015). Prognostic Value of 68Ga-DOTANOC PET/CT SUVmax in Patients with Neuroendocrine Tumors of the Pancreas. Journal of Nuclear Medicine. 56(12). 1843–1848. 72 indexed citations

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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