Valentina Cazzella
About
In The Last Decade
Valentina Cazzella
5 papers receiving 486 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 470
- Cancer Research 235
- Genetics 45
- Physiology 41
- Cardiology and Cardiovascular Medicine 31
Countries citing papers authored by Valentina Cazzella
This map shows the geographic impact of Valentina Cazzella'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 Valentina Cazzella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Cazzella more than expected).
Fields of papers citing papers by Valentina Cazzella
This network shows the impact of papers produced by Valentina Cazzella. 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 Valentina Cazzella. The network helps show where Valentina Cazzella may publish in the future.
Co-authorship network of co-authors of Valentina Cazzella
This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Cazzella. A scholar is included among the top collaborators of Valentina Cazzella 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 Valentina Cazzella. Valentina Cazzella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | 38 | |
| 3 | 119 | |
| 4 | 217 | |
| 5 | 33 |
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.