Silvia Casara
About
In The Last Decade
Silvia Casara
7 papers receiving 310 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 204
- Cancer Research 183
- Physiology 63
- Pulmonary and Respiratory Medicine 35
- Oncology 22
Countries citing papers authored by Silvia Casara
This map shows the geographic impact of Silvia Casara'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 Silvia Casara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Casara more than expected).
Fields of papers citing papers by Silvia Casara
This network shows the impact of papers produced by Silvia Casara. 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 Silvia Casara. The network helps show where Silvia Casara may publish in the future.
Co-authorship network of co-authors of Silvia Casara
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Casara. A scholar is included among the top collaborators of Silvia Casara 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 Silvia Casara. Silvia Casara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 38 | |
| 3 | 0 | |
| 4 | 82 | |
| 5 | 120 | |
| 6 | 29 | |
| 7 | miR-148b is a major coordinator in a relapse-associated miR signature in breast tumors | 2 |
| 8 | 22 |
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.