Virginia Castillo Cano
About
In The Last Decade
Virginia Castillo Cano
3 papers receiving 154 citations
Peers
Comparison fields: 5 of 32
- Physiology 107
- Molecular Biology 103
- Computational Theory and Mathematics 38
- Pharmacology 30
- Biomaterials 16
Countries citing papers authored by Virginia Castillo Cano
This map shows the geographic impact of Virginia Castillo Cano'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 Virginia Castillo Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Castillo Cano more than expected).
Fields of papers citing papers by Virginia Castillo Cano
This network shows the impact of papers produced by Virginia Castillo Cano. 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 Virginia Castillo Cano. The network helps show where Virginia Castillo Cano may publish in the future.
Co-authorship network of co-authors of Virginia Castillo Cano
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Castillo Cano. A scholar is included among the top collaborators of Virginia Castillo Cano 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 Virginia Castillo Cano. Virginia Castillo Cano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 23 | |
| 3 | 121 |
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.