Giulia Vatteroni

421 total citations
20 papers, 251 citations indexed

About

Giulia Vatteroni is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Giulia Vatteroni has authored 20 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Giulia Vatteroni's work include MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Breast Cancer Treatment Studies (4 papers). Giulia Vatteroni is often cited by papers focused on MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Breast Cancer Treatment Studies (4 papers). Giulia Vatteroni collaborates with scholars based in Italy, Austria and Germany. Giulia Vatteroni's co-authors include Thomas H. Helbich, Paola Clauser, Pascal Baltzer, Nina Pötsch, Giorgio Maria Ferraroli, Luca Balzarini, Caterina Giannitto, Daniela Bernardi, Shahrokh F. Shariat and Stephan Korn and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Neurobiology of Disease.

In The Last Decade

Giulia Vatteroni

12 papers receiving 248 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 Vatteroni Italy 9 150 116 48 42 37 20 251
Veronica Magni Italy 9 136 0.9× 124 1.1× 61 1.3× 63 1.5× 77 2.1× 12 253
Zhuangsheng Liu China 10 269 1.8× 133 1.1× 44 0.9× 35 0.8× 71 1.9× 17 334
Michael Gotlieb Israel 11 203 1.4× 220 1.9× 83 1.7× 105 2.5× 80 2.2× 17 389
Dianjun Wang China 7 153 1.0× 149 1.3× 26 0.5× 26 0.6× 6 0.2× 18 318
Habibollah Dadgar Iran 11 217 1.4× 99 0.9× 32 0.7× 68 1.6× 22 0.6× 42 337
Bernadette Redd United States 8 133 0.9× 98 0.8× 33 0.7× 163 3.9× 50 1.4× 24 366
Bao Feng China 10 345 2.3× 202 1.7× 23 0.5× 40 1.0× 80 2.2× 32 413
Sara Ahmed United States 9 244 1.6× 53 0.5× 16 0.3× 52 1.2× 40 1.1× 33 362
Elisabetta Bonzano Italy 9 61 0.4× 30 0.3× 107 2.2× 71 1.7× 14 0.4× 31 243
Julia Camps Herrero Spain 7 451 3.0× 64 0.6× 83 1.7× 46 1.1× 60 1.6× 22 543

Countries citing papers authored by Giulia Vatteroni

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Vatteroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Vatteroni

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Vatteroni. A scholar is included among the top collaborators of Giulia Vatteroni 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 Vatteroni. Giulia Vatteroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Ferrero, Simone, Fabio Barra, Giulia Vatteroni, et al.. (2025). Safety of current strategies to manage moderate to severe pain in patients with endometriosis. Expert Opinion on Drug Safety. 25(2). 245–258.
4.
Cagnacci, Angelo, Giulio Antonelli, Giulia Vatteroni, & Anjeza Xholli. (2025). Cardiometabolic risk in women with polycystic ovary syndrome: a comprehensive review. Minerva Obstetrics and Gynecology. 77(5). 393–406.
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Gennaro, Gisella, Giulia Vatteroni, Daniela Bernardi, & Francesca Caumo. (2024). Performance of dual-energy subtraction in contrast-enhanced mammography for three different manufacturers: a phantom study. European Radiology Experimental. 8(1). 113–113. 1 indexed citations
7.
Bonifacio, Cristiana, Giovanni Savini, Riccardo Levi, et al.. (2024). The gut-brain axis: Correlation of choroid plexus volume and permeability with inflammatory biomarkers in Crohn's disease. Neurobiology of Disease. 192. 106416–106416. 9 indexed citations
8.
Vatteroni, Giulia, Rubina Manuela Trimboli, Riccardo Levi, et al.. (2024). Role of ultrasound-guided vacuum-assisted breast biopsy in the management of radiologic-pathologic discordance: a retrospective single-centre study. La radiologia medica. 129(10). 1454–1462.
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Gentile, Damiano, Andrea Sagona, Bethania Fernandes, et al.. (2023). Pathologic response and residual tumor cellularity after neo-adjuvant chemotherapy predict prognosis in breast cancer patients. The Breast. 69. 323–329. 24 indexed citations
11.
Pötsch, Nina, Giulia Vatteroni, Paola Clauser, et al.. (2023). Using the Kaiser Score as a clinical decision rule for breast lesion classification: Does computer-assisted curve type analysis improve diagnosis?. European Journal of Radiology. 170. 111271–111271. 5 indexed citations
12.
Pötsch, Nina, Giulia Vatteroni, Paola Clauser, Thomas H. Helbich, & Pascal Baltzer. (2022). Contrast-enhanced Mammography versus Contrast-enhanced Breast MRI: A Systematic Review and Meta-Analysis. Radiology. 305(1). 94–103. 90 indexed citations
13.
Pötsch, Nina, Paola Clauser, Giulia Vatteroni, et al.. (2022). Impact of PI-QUAL on PI-RADS and cancer yield in an MRI-TRUS fusion biopsy population. European Journal of Radiology. 154. 110431–110431. 35 indexed citations
14.
Clauser, Paola, et al.. (2022). How much can abbreviated protocols for breast MRI increase patient throughput? a multi-centric evaluation. European Journal of Radiology. 154. 110436–110436. 9 indexed citations
15.
Giannitto, Caterina, Giuseppe Mercante, Luca Cerri, et al.. (2022). Radiomics‐based machine learning for the diagnosis of lymph node metastases in patients with head and neck cancer: Systematic review. Head & Neck. 45(2). 482–491. 14 indexed citations
16.
Bernardi, Daniela, Giulia Vatteroni, Alessandra Acquaviva, et al.. (2022). Contrast-Enhanced Mammography Versus MRI in the Evaluation of Neoadjuvant Therapy Response in Patients With Breast Cancer: A Prospective Study. American Journal of Roentgenology. 219(6). 884–894. 16 indexed citations
17.
Vatteroni, Giulia, Lorenzo Maria Canziani, Marco Alloisio, et al.. (2021). Bronchoalveolar lavage in suspected COVID-19 cases with a negative nasopharyngeal swab: a retrospective cross-sectional study in a high-impact Northern Italy area. Internal and Emergency Medicine. 16(7). 1857–1864. 15 indexed citations
18.
Giannitto, Caterina, Giuseppe Mercante, Giuseppe Spriano, et al.. (2021). CT and MRI Findings of Head and Neck Masson’s Tumor: A Rare Case Report and Systematic Review of the Literature. Volume 14. 53–64. 2 indexed citations
19.
Giannitto, Caterina, Alessandro Repici, Giulia Vatteroni, et al.. (2020). Chest CT in patients with a moderate or high pretest probability of COVID-19 and negative swab. La radiologia medica. 125(12). 1260–1270. 30 indexed citations
20.
Iacconi, Chiara, et al.. (2017). A Young Woman With a New Breast Mass. JAMA Surgery. 152(9). 885–885. 1 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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