Sung Poblete
About
In The Last Decade
Sung Poblete
6 papers receiving 443 citations
Peers
Comparison fields: 5 of 63
- Epidemiology 395
- Health 73
- Infectious Diseases 68
- Immunology 66
- Modeling and Simulation 46
Countries citing papers authored by Sung Poblete
This map shows the geographic impact of Sung Poblete'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 Sung Poblete with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung Poblete more than expected).
Fields of papers citing papers by Sung Poblete
This network shows the impact of papers produced by Sung Poblete. 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 Sung Poblete. The network helps show where Sung Poblete may publish in the future.
Co-authorship network of co-authors of Sung Poblete
This figure shows the co-authorship network connecting the top 25 collaborators of Sung Poblete. A scholar is included among the top collaborators of Sung Poblete 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 Sung Poblete. Sung Poblete is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 63 | |
| 4 | 185 | |
| 5 | 208 | |
| 6 | A clinical prediction rule for pneumonia and influenza hospitalization and death during influenza epidemics | 3 |
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.