Michele Nanna
About
In The Last Decade
Michele Nanna
28 papers receiving 565 citations
Peers
Comparison fields: 5 of 59
- Cardiology and Cardiovascular Medicine 423
- Surgery 261
- Radiology, Nuclear Medicine and Imaging 163
- Endocrinology, Diabetes and Metabolism 86
- Pulmonary and Respiratory Medicine 85
Countries citing papers authored by Michele Nanna
This map shows the geographic impact of Michele Nanna'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 Michele Nanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Nanna more than expected).
Fields of papers citing papers by Michele Nanna
This network shows the impact of papers produced by Michele Nanna. 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 Michele Nanna. The network helps show where Michele Nanna may publish in the future.
Co-authorship network of co-authors of Michele Nanna
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Nanna. A scholar is included among the top collaborators of Michele Nanna 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 Michele Nanna. Michele Nanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 24 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 83 | |
| 12 | 43 | |
| 13 | 80 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | Inaccuracy of Doppler estimates of pulmonary artery pressure using pulmonary flow acceleration time. | 5 |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 40 |
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.