Vittoria Rufini

5.7k citations
181 papers · 3.8k indexed · h-index 34

Vittoria Rufini

177 papers receiving 3.7k citations

Peers

Vittoria Rufini
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Neurology 1.0k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Obstetrics and Gynecology 294
  • Oncology 975
Replace Désirèe Deandreis with:
Désirèe Deandreis France
J. Lumbroso France
Kohei Yokoi Japan
Francesco Bertagna Italy
Ur Metser Canada
Richard S. Cox United States
Ivy A. Petersen United States
Ebrahim S. Delpassand United States
Normann Willich Germany
Yusuf Menda United States
Vittoria Rufini relative to Désirèe Deandreis France Désirèe Deandreis's profile →
Citations per field
00.5×1.5×2.5×
Désirèe Deandreis · 1×
Citations per year

Countries citing papers authored by Vittoria Rufini

Since Specialization
Citations

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

Fields of papers citing papers by Vittoria Rufini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20249
5 20241
6 20236
7 20233
8 20238
9 20233
10 20234
11 202216
12 202111
13 20170
14 201514
15 20123
16 20106
17 20106
18 200735
19 19982
20 199533

About Vittoria Rufini

Vittoria Rufini is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 181 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (42 papers), Neuroendocrine Tumor Research Advances (35 papers), Thyroid Cancer Diagnosis and Treatment (33 papers), Adrenal and Paraganglionic Tumors (30 papers), Cancer, Hypoxia, and Metabolism (29 papers), Medical Imaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Endometrial and Cervical Cancer Treatments (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Neurology (1.0k citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Vittoria Rufini has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Alessandro Giordano, Giorgio Treglia, Paola Castaldi, L Troncone, Richard P. Baum, Germano Perotti, Massimo Salvatori, Guido Rindi, Renato Mastrangelo and Maria Lucia Calcagni. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Diabetes.

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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