Sara Garrido
About
In The Last Decade
Sara Garrido
7 papers receiving 298 citations
Peers
Comparison fields: 5 of 47
- Hematology 163
- Molecular Biology 111
- Oncology 75
- Epidemiology 73
- Genetics 62
Countries citing papers authored by Sara Garrido
This map shows the geographic impact of Sara Garrido'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 Sara Garrido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Garrido more than expected).
Fields of papers citing papers by Sara Garrido
This network shows the impact of papers produced by Sara Garrido. 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 Sara Garrido. The network helps show where Sara Garrido may publish in the future.
Co-authorship network of co-authors of Sara Garrido
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Garrido. A scholar is included among the top collaborators of Sara Garrido 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 Sara Garrido. Sara Garrido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 21 | |
| 3 | 185 | |
| 4 | Clinical use of granulocyte colony-stimulating factor in infectious diseases. | 1 |
| 5 | 73 | |
| 6 | 9 | |
| 7 | 11 |
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.