Mascia Nesi
About
In The Last Decade
Mascia Nesi
9 papers receiving 76 citations
Peers
Comparison fields: 5 of 31
- Epidemiology 43
- Pulmonary and Respiratory Medicine 34
- Molecular Biology 22
- Cardiology and Cardiovascular Medicine 16
- Rehabilitation 16
Countries citing papers authored by Mascia Nesi
This map shows the geographic impact of Mascia Nesi'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 Mascia Nesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mascia Nesi more than expected).
Fields of papers citing papers by Mascia Nesi
This network shows the impact of papers produced by Mascia Nesi. 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 Mascia Nesi. The network helps show where Mascia Nesi may publish in the future.
Co-authorship network of co-authors of Mascia Nesi
This figure shows the co-authorship network connecting the top 25 collaborators of Mascia Nesi. A scholar is included among the top collaborators of Mascia Nesi 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 Mascia Nesi. Mascia Nesi 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 | 2 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 28 | |
| 11 | 20 |
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.