Valeria Canu
About
In The Last Decade
Valeria Canu
11 papers receiving 235 citations
Peers
Comparison fields: 5 of 35
- Molecular Biology 190
- Cancer Research 161
- Oncology 32
- Cell Biology 32
- Immunology 14
Countries citing papers authored by Valeria Canu
This map shows the geographic impact of Valeria Canu'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 Valeria Canu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria Canu more than expected).
Fields of papers citing papers by Valeria Canu
This network shows the impact of papers produced by Valeria Canu. 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 Valeria Canu. The network helps show where Valeria Canu may publish in the future.
Co-authorship network of co-authors of Valeria Canu
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Canu. A scholar is included among the top collaborators of Valeria Canu 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 Valeria Canu. Valeria Canu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 19 | |
| 5 | 45 | |
| 6 | 25 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 84 |
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.