Valeria Cantoni

1.4k citations
56 papers · 828 indexed · h-index 17

Valeria Cantoni

53 papers receiving 814 citations

Peers

Valeria Cantoni
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 489
  • Health Informatics 26
  • Cardiology and Cardiovascular Medicine 218
  • Health Information Management 25
  • Surgery 229
Replace Roberta Green with:
Roberta Green Italy
Guang‐Uei Hung Taiwan
Ryan Zea United States
Linyuan Jing United States
Jacob J. Visser Netherlands
Christina Luong Canada
Jeremy R. Burt United States
Pil Sang Song South Korea
Sukrit Narula United States
Andrew Lin United States
Valeria Cantoni relative to Roberta Green Italy Roberta Green's profile →
Citations per field
00.5×1.5×1.8×
Roberta Green · 1×
Citations per year

Countries citing papers authored by Valeria Cantoni

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Cantoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20231
4 20233
5 202219
6 202213
7 202111
8 202162
9 20215
10 202114
11 202013
12 202080
13 202035
14 202015
15 202019
16 201937
17 201927
18 201816
19 198912
20
Noninvasive assessment of coenzyme Q 10 in patients with chronic stable effort angina and moderate heart failure
19879

About Valeria Cantoni

Valeria Cantoni is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Health Information Management, having authored 56 papers that have together received 828 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (36 papers), Advanced MRI Techniques and Applications (18 papers), Advanced X-ray and CT Imaging (16 papers), Cardiovascular Disease and Adiposity (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiation Dose and Imaging (4 papers) and Coronary Interventions and Diagnostics (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (489 citations), Health Informatics (26 citations) and Cardiology and Cardiovascular Medicine (218 citations). Valeria Cantoni has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Roberta Green, Alberto Cuocolo, Wanda Acampa, Mario Petretta, Renato Cuocolo, Carmela Nappi, Valeria Gaudieri, Emilia Zampella, Roberta Assante and Teresa Mannarino.

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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