Giuseppina Magni
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology
- Surgery
- Anesthesiology and Pain Medicine top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Natesa G. PandianItalia La RosaAlain DelabaysG MelilloCleo LaskariLissa SugengGerald R. MarxGiovanni Rosa
- Topics
- Cardiac Imaging and Diagnostics (10 papers)Cardiovascular Function and Risk Factors (7 papers)Cardiac Valve Diseases and Treatments (6 papers)
- Cited by
- Anesthesiology and Pain MedicineDevelopmental NeuroscienceCardiology and Cardiovascular Medicine
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Giuseppina Magni
40 papers receiving 659 citations
Peers
Comparison fields: 5 of 72
- Cardiology and Cardiovascular Medicine 324
- Epidemiology 235
- Surgery 193
- Anesthesiology and Pain Medicine 146
- Pulmonary and Respiratory Medicine 140
Countries citing papers authored by Giuseppina Magni
This map shows the geographic impact of Giuseppina Magni'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 Giuseppina Magni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppina Magni more than expected).
Fields of papers citing papers by Giuseppina Magni
This network shows the impact of papers produced by Giuseppina Magni. 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 Giuseppina Magni. The network helps show where Giuseppina Magni may publish in the future.
Co-authorship network of co-authors of Giuseppina Magni
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppina Magni. A scholar is included among the top collaborators of Giuseppina Magni 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 Giuseppina Magni. Giuseppina Magni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 81 | |
| 3 | 37 | |
| 4 | 11 | |
| 5 | 21 | |
| 6 | 4 | |
| 7 | 35 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 27 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 17 |
About Giuseppina Magni
Giuseppina Magni is a scholar working on Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine and Developmental Neuroscience, having authored 41 papers that have together received 701 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (7 papers) and Cardiac Valve Diseases and Treatments (6 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (146 citations), Developmental Neuroscience (73 citations) and Cardiology and Cardiovascular Medicine (324 citations). Giuseppina Magni has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Natesa G. Pandian, Italia La Rosa, Alain Delabays, G Melillo, Cleo Laskari, Lissa Sugeng, Gerald R. Marx, Giovanni Rosa, Domenico Cartoni and Sergio Beni. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.
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.