Hui Si Kwok
About
In The Last Decade
Hui Si Kwok
12 papers receiving 256 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 200
- Oncology 39
- Cancer Research 38
- Genetics 36
- Immunology 25
Countries citing papers authored by Hui Si Kwok
This map shows the geographic impact of Hui Si Kwok'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 Hui Si Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Si Kwok more than expected).
Fields of papers citing papers by Hui Si Kwok
This network shows the impact of papers produced by Hui Si Kwok. 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 Hui Si Kwok. The network helps show where Hui Si Kwok may publish in the future.
Co-authorship network of co-authors of Hui Si Kwok
This figure shows the co-authorship network connecting the top 25 collaborators of Hui Si Kwok. A scholar is included among the top collaborators of Hui Si Kwok 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 Hui Si Kwok. Hui Si Kwok 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 | 13 | |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 19 | |
| 6 | 22 | |
| 7 | 21 | |
| 8 | 38 | |
| 9 | 26 | |
| 10 | 40 | |
| 11 | 10 | |
| 12 | 51 |
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.