Sum Thai Wong
About
In The Last Decade
Sum Thai Wong
14 papers receiving 527 citations
Peers
Comparison fields: 5 of 88
- Biomedical Engineering 309
- Cell Biology 193
- Molecular Biology 108
- Biomaterials 91
- Surgery 59
Countries citing papers authored by Sum Thai Wong
This map shows the geographic impact of Sum Thai Wong'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 Sum Thai Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sum Thai Wong more than expected).
Fields of papers citing papers by Sum Thai Wong
This network shows the impact of papers produced by Sum Thai Wong. 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 Sum Thai Wong. The network helps show where Sum Thai Wong may publish in the future.
Co-authorship network of co-authors of Sum Thai Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Sum Thai Wong. A scholar is included among the top collaborators of Sum Thai Wong 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 Sum Thai Wong. Sum Thai Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 31 | |
| 4 | 4 | |
| 5 | 35 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | 38 | |
| 10 | 343 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 33 |
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.