Gerardo Salerno
About
In The Last Decade
Gerardo Salerno
75 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 328
- Oncology 298
- Epidemiology 262
- Surgery 173
- Cardiology and Cardiovascular Medicine 167
Countries citing papers authored by Gerardo Salerno
This map shows the geographic impact of Gerardo Salerno'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 Gerardo Salerno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo Salerno more than expected).
Fields of papers citing papers by Gerardo Salerno
This network shows the impact of papers produced by Gerardo Salerno. 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 Gerardo Salerno. The network helps show where Gerardo Salerno may publish in the future.
Co-authorship network of co-authors of Gerardo Salerno
This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo Salerno. A scholar is included among the top collaborators of Gerardo Salerno 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 Gerardo Salerno. Gerardo Salerno 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 15 | |
| 14 | 7 | |
| 15 | 44 | |
| 16 | 56 | |
| 17 | 30 | |
| 18 | 69 | |
| 19 | 14 | |
| 20 | 30 |
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.