Carmen Escuriola
About
In The Last Decade
Carmen Escuriola
9 papers receiving 501 citations
Peers
Comparison fields: 5 of 41
- Hematology 491
- Genetics 132
- Molecular Biology 90
- Radiology, Nuclear Medicine and Imaging 21
- Surgery 19
Countries citing papers authored by Carmen Escuriola
This map shows the geographic impact of Carmen Escuriola'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 Carmen Escuriola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Escuriola more than expected).
Fields of papers citing papers by Carmen Escuriola
This network shows the impact of papers produced by Carmen Escuriola. 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 Carmen Escuriola. The network helps show where Carmen Escuriola may publish in the future.
Co-authorship network of co-authors of Carmen Escuriola
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Escuriola. A scholar is included among the top collaborators of Carmen Escuriola 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 Carmen Escuriola. Carmen Escuriola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 304 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 82 | |
| 8 | 28 | |
| 9 | 63 |
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.