Umberto Barbero
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Rheumatology top 10%
- Co-authors
- Fabrizio D’AscenzoFiorenzo GaïtaClaudio MorettiGiuseppe Biondi‐ZoccaiEnrico CerratoMario IannacconePierluigi OmedèFlavia Ballocca
- Topics
- Coronary Interventions and Diagnostics (21 papers)Cardiac Imaging and Diagnostics (17 papers)Acute Myocardial Infarction Research (7 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Umberto Barbero
45 papers receiving 680 citations
Peers
Comparison fields: 5 of 73
- Cardiology and Cardiovascular Medicine 395
- Surgery 352
- Radiology, Nuclear Medicine and Imaging 191
- Pulmonary and Respiratory Medicine 119
- Rheumatology 84
Countries citing papers authored by Umberto Barbero
This map shows the geographic impact of Umberto Barbero'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 Umberto Barbero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Barbero more than expected).
Fields of papers citing papers by Umberto Barbero
This network shows the impact of papers produced by Umberto Barbero. 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 Umberto Barbero. The network helps show where Umberto Barbero may publish in the future.
Co-authorship network of co-authors of Umberto Barbero
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Barbero. A scholar is included among the top collaborators of Umberto Barbero 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 Umberto Barbero. Umberto Barbero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 24 | |
| 11 | 9 | |
| 12 | 34 | |
| 13 | 43 | |
| 14 | What is the optimal treatment for symptomatic patients with isolated coronary myocardial bridge? A systematic review and meta-regression including 831 patients from 15 studies | 1 |
| 15 | 19 | |
| 16 | Incidence and predictors of cardiovascular events in patients with systemic lupus erythematosus (SLE): a systematic review and meta-analysis | 4 |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 2 |
About Umberto Barbero
Umberto Barbero is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 49 papers that have together received 693 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (21 papers), Cardiac Imaging and Diagnostics (17 papers) and Acute Myocardial Infarction Research (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (395 citations), Radiology, Nuclear Medicine and Imaging (191 citations) and Surgery (352 citations). Umberto Barbero has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Fabrizio D’Ascenzo, Fiorenzo Gaïta, Claudio Moretti, Giuseppe Biondi‐Zoccai, Enrico Cerrato, Mario Iannaccone, Pierluigi Omedè, Flavia Ballocca, Siew Yen Ho and Pierluigi Omedè. Their work appears in journals such as Circulation, European Heart Journal and American Heart Journal.
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.