Wai‐Kit Cheong
About
In The Last Decade
Wai‐Kit Cheong
12 papers receiving 347 citations
Peers
Comparison fields: 5 of 32
- Surgery 298
- Rheumatology 197
- Oncology 188
- Molecular Biology 40
- Cancer Research 26
Countries citing papers authored by Wai‐Kit Cheong
This map shows the geographic impact of Wai‐Kit Cheong'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 Wai‐Kit Cheong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai‐Kit Cheong more than expected).
Fields of papers citing papers by Wai‐Kit Cheong
This network shows the impact of papers produced by Wai‐Kit Cheong. 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 Wai‐Kit Cheong. The network helps show where Wai‐Kit Cheong may publish in the future.
Co-authorship network of co-authors of Wai‐Kit Cheong
This figure shows the co-authorship network connecting the top 25 collaborators of Wai‐Kit Cheong. A scholar is included among the top collaborators of Wai‐Kit Cheong 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 Wai‐Kit Cheong. Wai‐Kit Cheong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 28 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 21 | |
| 10 | 4 | |
| 11 | 23 | |
| 12 | 21 | |
| 13 | 227 |
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.