Sandy Sung
About
In The Last Decade
Sandy Sung
10 papers receiving 958 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 497
- Hematology 292
- Cancer Research 283
- Genetics 217
- Immunology 162
Countries citing papers authored by Sandy Sung
This map shows the geographic impact of Sandy Sung'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 Sandy Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandy Sung more than expected).
Fields of papers citing papers by Sandy Sung
This network shows the impact of papers produced by Sandy Sung. 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 Sandy Sung. The network helps show where Sandy Sung may publish in the future.
Co-authorship network of co-authors of Sandy Sung
This figure shows the co-authorship network connecting the top 25 collaborators of Sandy Sung. A scholar is included among the top collaborators of Sandy Sung 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 Sandy Sung. Sandy Sung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | Identification of miR-145 and miR-146a as mediators of the 5q– syndrome phenotype breakdown → | 507 |
| 7 | 0 | |
| 8 | 81 | |
| 9 | 29 | |
| 10 | 186 | |
| 11 | 123 |
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.