Chiara Russo
About
In The Last Decade
Chiara Russo
12 papers receiving 126 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 82
- Cell Biology 50
- Physiology 17
- Oncology 14
- Cellular and Molecular Neuroscience 11
Countries citing papers authored by Chiara Russo
This map shows the geographic impact of Chiara Russo'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 Chiara Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Russo more than expected).
Fields of papers citing papers by Chiara Russo
This network shows the impact of papers produced by Chiara Russo. 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 Chiara Russo. The network helps show where Chiara Russo may publish in the future.
Co-authorship network of co-authors of Chiara Russo
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Russo. A scholar is included among the top collaborators of Chiara Russo 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 Chiara Russo. Chiara Russo 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 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 0 | |
| 13 | 27 | |
| 14 | 55 |
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.