Suet Yi Leung
- Molecular Biology top 1%
- Oncology top 0.5%
- Cancer Research top 0.2%
- Pathology and Forensic Medicine top 0.2%
- Surgery top 1%
- Co-authors
- Siu Tsan YuenTsun Leung ChanKent‐Man ChuLap Ping ChungAnnie S Y ChanAnnie S.Y. ChanKwok‐Yung YuenWai Yin Tsui
- Topics
- Genetic factors in colorectal cancer (34 papers)Cancer Genomics and Diagnostics (27 papers)Helicobacter pylori-related gastroenterology studies (18 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Suet Yi Leung
293 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Molecular Biology 5.5k
- Oncology 4.0k
- Cancer Research 3.5k
- Pathology and Forensic Medicine 2.8k
- Surgery 2.6k
Countries citing papers authored by Suet Yi Leung
This map shows the geographic impact of Suet Yi Leung'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 Suet Yi Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suet Yi Leung more than expected).
Fields of papers citing papers by Suet Yi Leung
This network shows the impact of papers produced by Suet Yi Leung. 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 Suet Yi Leung. The network helps show where Suet Yi Leung may publish in the future.
Co-authorship network of co-authors of Suet Yi Leung
This figure shows the co-authorship network connecting the top 25 collaborators of Suet Yi Leung. A scholar is included among the top collaborators of Suet Yi Leung 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 Suet Yi Leung. Suet Yi Leung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 56 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 28 | |
| 9 | 6 | |
| 10 | 82 | |
| 11 | 28 | |
| 12 | Chronic disease self-management and cognitive training programme to improve diabetic control in older outpatients with memory complaints: a randomised trial. | 3 |
| 13 | 138 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Use of nutritional health supplements and associated factors among parents with children at kindergartens in Hong Kong. | 5 |
| 17 | 155 | |
| 18 | 69 | |
| 19 | 56 | |
| 20 | 40 |
About Suet Yi Leung
Suet Yi Leung is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 302 papers that have together received 15.1k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (34 papers), Cancer Genomics and Diagnostics (27 papers) and Helicobacter pylori-related gastroenterology studies (18 papers). The work is most often cited by research in Cancer Research (3.5k citations), Pathology and Forensic Medicine (2.8k citations) and Oncology (4.0k citations). Suet Yi Leung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Siu Tsan Yuen, Tsun Leung Chan, Kent‐Man Chu, Lap Ping Chung, Annie S Y Chan, Annie S.Y. Chan, Kwok‐Yung Yuen, Wai Yin Tsui, Susanna K. P. Lau and Patrick C. Y. Woo. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.