Gianmario Sambuceti

10.6k citations
249 papers · 6.1k indexed · h-index 44

Gianmario Sambuceti

233 papers receiving 6.0k citations

Peers

Gianmario Sambuceti
Comparison fields: 5 of 140
  • Radiology, Nuclear Medicine and Imaging 2.7k
  • Cardiology and Cardiovascular Medicine 2.1k
  • Genetics 388
  • Neurology 549
  • Cancer Research 461
Replace Jun Takahashi with:
Jun Takahashi Japan
Orazio Schillaci Italy
Timothy R. DeGrado United States
Mika Teräs Finland
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Axel Rominger Switzerland
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Gianmario Sambuceti relative to Jun Takahashi Japan Jun Takahashi's profile →
Citations per field
00.5×1.5×2.1×
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Citations per year

Countries citing papers authored by Gianmario Sambuceti

Since Specialization
Citations

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

Fields of papers citing papers by Gianmario Sambuceti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20238
4 20231
5 202314
6 20235
7 20223
8 202120
9 202134
10 202119
11 20215
12 20213
13 20171
14 201546
15 20134
16 20041
17 200224
18
ANTIHYPERTENSIVE THERAPY IMPROVES REGIONAL MYOCARDIAL BLOOD-FLOW AND REDUCES PERFUSION DYSHOMOGENEITY IN PATIENTS WITH HYPERTENSION AND NO CORONARY-ARTERY DISEASE
19930
19
Dependence of Exercise Capacity on Resting Left Ventricular Function and Myocardial Perfusion in Patients with Essential Hypertension and Normal Coronary Arteries
19931
20 19912

About Gianmario Sambuceti

Gianmario Sambuceti is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Neurology, having authored 249 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (85 papers), Advanced MRI Techniques and Applications (39 papers), Medical Imaging Techniques and Applications (33 papers), Cardiovascular Function and Risk Factors (28 papers), Cardiac electrophysiology and arrhythmias (20 papers), Cancer, Hypoxia, and Metabolism (19 papers), Metabolism, Diabetes, and Cancer (18 papers) and Parkinson's Disease Mechanisms and Treatments (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.7k citations), Cardiology and Cardiovascular Medicine (2.1k citations) and Genetics (388 citations). Gianmario Sambuceti has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Oberdan Parodi, Antonio L’Abbate, Silvia Morbelli, Cecilia Marini, Assuero Giorgetti, Danilo Neglia, Flavio Nobili, Mario Marzilli, Piero Salvadori and Michela Massollo. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of the American College of Cardiology, Circulation, Journal of Nuclear Cardiology 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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