You Me Sung
About
In The Last Decade
You Me Sung
17 papers receiving 810 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 514
- Physiology 190
- Pharmacology 183
- Genetics 162
- Cancer Research 158
Countries citing papers authored by You Me Sung
This map shows the geographic impact of You Me 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 You Me Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites You Me Sung more than expected).
Fields of papers citing papers by You Me Sung
This network shows the impact of papers produced by You Me 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 You Me Sung. The network helps show where You Me Sung may publish in the future.
Co-authorship network of co-authors of You Me Sung
This figure shows the co-authorship network connecting the top 25 collaborators of You Me Sung. A scholar is included among the top collaborators of You Me 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 You Me Sung. You Me 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 | 3 | |
| 2 | 39 | |
| 3 | 11 | |
| 4 | 100 | |
| 5 | 17 | |
| 6 | 9 | |
| 7 | 163 | |
| 8 | 30 | |
| 9 | 113 | |
| 10 | 7 | |
| 11 | 57 | |
| 12 | 40 | |
| 13 | 22 | |
| 14 | 48 | |
| 15 | 10 | |
| 16 | 58 | |
| 17 | 97 |
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.