Rosa Daza
About
In The Last Decade
Rosa Daza
7 papers receiving 133 citations
Peers
Comparison fields: 5 of 50
- Epidemiology 100
- Molecular Medicine 56
- Pediatrics, Perinatology and Child Health 41
- Clinical Biochemistry 26
- Endocrinology 23
Countries citing papers authored by Rosa Daza
This map shows the geographic impact of Rosa Daza'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 Rosa Daza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Daza more than expected).
Fields of papers citing papers by Rosa Daza
This network shows the impact of papers produced by Rosa Daza. 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 Rosa Daza. The network helps show where Rosa Daza may publish in the future.
Co-authorship network of co-authors of Rosa Daza
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Daza. A scholar is included among the top collaborators of Rosa Daza 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 Rosa Daza. Rosa Daza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 126 | |
| 6 | 3 | |
| 7 | 12 |
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.