Giorgio Noera
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Epidemiology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Renzo LodiMauro LamarraAlberto CremonesiAlfio BertoliniC MassiniW FerrariRuggero CadossiSheila Leone
- Topics
- Cardiac Valve Diseases and Treatments (6 papers)Cardiac and Coronary Surgery Techniques (5 papers)Trauma Management and Diagnosis (3 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Giorgio Noera
29 papers receiving 362 citations
Peers
Comparison fields: 5 of 73
- Cardiology and Cardiovascular Medicine 148
- Surgery 134
- Pulmonary and Respiratory Medicine 80
- Epidemiology 61
- Endocrine and Autonomic Systems 52
Countries citing papers authored by Giorgio Noera
This map shows the geographic impact of Giorgio Noera'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 Giorgio Noera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Noera more than expected).
Fields of papers citing papers by Giorgio Noera
This network shows the impact of papers produced by Giorgio Noera. 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 Giorgio Noera. The network helps show where Giorgio Noera may publish in the future.
Co-authorship network of co-authors of Giorgio Noera
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Noera. A scholar is included among the top collaborators of Giorgio Noera 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 Giorgio Noera. Giorgio Noera 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 | 7 | |
| 3 | 12 | |
| 4 | 31 | |
| 5 | 3 | |
| 6 | Is the tricuspid position suitable for testing replacement bioprosthetic valves in the sheep model? | 5 |
| 7 | 35 | |
| 8 | Femoral Arterial Hemostasis using the Angio-Sealª System after Coronary and Vascular Percutaneous Angioplasty and Stenting. | 31 |
| 9 | 13 | |
| 10 | 38 | |
| 11 | 24 | |
| 12 | 9 | |
| 13 | 21 | |
| 14 | 23 | |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 3 |
About Giorgio Noera
Giorgio Noera is a scholar working on Medical Laboratory Technology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 373 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (6 papers), Cardiac and Coronary Surgery Techniques (5 papers) and Trauma Management and Diagnosis (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (52 citations), Cardiology and Cardiovascular Medicine (148 citations) and Biophysics (26 citations). Giorgio Noera has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Renzo Lodi, Mauro Lamarra, Alberto Cremonesi, Alfio Bertolini, C Massini, W Ferrari, Ruggero Cadossi, Sheila Leone, Fausto Castriota and A Lessana. Their work appears in journals such as The Lancet, Journal of Thoracic and Cardiovascular Surgery and The Annals of Thoracic Surgery.
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.