Riccarda Del Bene

817 citations
35 papers · 619 indexed · h-index 15

Riccarda Del Bene

34 papers receiving 590 citations

Peers

Riccarda Del Bene
Comparison fields: 5 of 62
  • Hepatology 219
  • Nephrology 120
  • Cardiology and Cardiovascular Medicine 338
  • Epidemiology 159
  • Surgery 188
Replace Corinna Bergamini with:
Corinna Bergamini Italy
Francisco Leyva‐Leon United Kingdom
Melike Bayram United States
Stefan Fuglsang Denmark
Salvatore M. Sancetta United States
Waqar Shamim United Kingdom
Louis Legault Canada
Tadashi Iwao Japan
M Lupia Italy
Mevlüt Koç Türkiye
Riccarda Del Bene relative to Corinna Bergamini Italy Corinna Bergamini's profile →
Citations per field
00.5×1.5×2.1×
Corinna Bergamini · 1×
Citations per year

Countries citing papers authored by Riccarda Del Bene

Since Specialization
Citations

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

Fields of papers citing papers by Riccarda Del Bene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riccarda Del Bene. 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 Riccarda Del Bene. The network helps show where Riccarda Del Bene may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20104
2 200930
3 20071
4 20068
5
Multiparametric electrocardiographic evaluation of left ventricular hypertrophy in idiopathic and hypertensive cardiomyopathy.
20054
6 200411
7 20021
8 200220
9 20017
10 200124
11 200167
12 200015
13 200076
14 19993
15 19984
16 199836
17 199831
18 199811
19 19977
20 199781

About Riccarda Del Bene

Riccarda Del Bene is a scholar working on Cardiology and Cardiovascular Medicine, Hepatology and Nephrology, having authored 35 papers that have together received 619 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (10 papers), Cardiac Imaging and Diagnostics (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Liver Disease and Transplantation (6 papers), Cardiac pacing and defibrillation studies (5 papers), Heart Failure Treatment and Management (4 papers), Hemodynamic Monitoring and Therapy (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Hepatology (219 citations), Nephrology (120 citations) and Cardiology and Cardiovascular Medicine (338 citations). Riccarda Del Bene has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Giuseppe Barletta, Giorgio La Villa, Sabrina Vecchiarino, Chiara Lazzeri, F Fantini, Giacomo Laffi, Paolo Geñtilini, Franco Franchi, Giulia Villa and Gianni Messeri. Their work appears in journals such as International Journal of Cardiology, Coronary Artery Disease, Journal of Hepatology, Hypertension and Hepatology.

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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