Tsun Leung Chan
- Molecular Biology top 5%
- Cancer Research top 0.5%
- Oncology top 2%
- Pathology and Forensic Medicine top 0.5%
- Genetics top 5%
- Co-authors
- Suet Yi LeungSiu Tsan YuenWai Yin TsuiAnnie S Y ChanGordon K.�H. AuDora L.�W. KwongCarlo M. CroceChang‐Gong Liu
- Topics
- Genetic factors in colorectal cancer (17 papers)Cancer Genomics and Diagnostics (15 papers)DNA Repair Mechanisms (8 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Tsun Leung Chan
42 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.5k
- Cancer Research 2.0k
- Oncology 1.5k
- Pathology and Forensic Medicine 1.4k
- Genetics 510
Countries citing papers authored by Tsun Leung Chan
This map shows the geographic impact of Tsun Leung Chan'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 Tsun Leung Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsun Leung Chan more than expected).
Fields of papers citing papers by Tsun Leung Chan
This network shows the impact of papers produced by Tsun Leung Chan. 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 Tsun Leung Chan. The network helps show where Tsun Leung Chan may publish in the future.
Co-authorship network of co-authors of Tsun Leung Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Tsun Leung Chan. A scholar is included among the top collaborators of Tsun Leung Chan 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 Tsun Leung Chan. Tsun Leung Chan 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 | 9 | |
| 3 | 14 | |
| 4 | 17 | |
| 5 | 20 | |
| 6 | 27 | |
| 7 | 15 | |
| 8 | 24 | |
| 9 | 12 | |
| 10 | 62 | |
| 11 | 36 | |
| 12 | 11 | |
| 13 | 42 | |
| 14 | MicroRNA Expression Profiles Associated With Prognosis and Therapeutic Outcome in Colon Adenocarcinomabreakdown → | 1307 |
| 15 | Heritable somatic methylation and inactivation of MSH2 in families with Lynch syndrome due to deletion of the 3′ exons of TACSTD1breakdown → | 546 |
| 16 | 82 | |
| 17 | 60 | |
| 18 | 66 | |
| 19 | 42 | |
| 20 | 75 |
About Tsun Leung Chan
Tsun Leung Chan is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 42 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (17 papers), Cancer Genomics and Diagnostics (15 papers) and DNA Repair Mechanisms (8 papers). The work is most often cited by research in Cancer Research (2.0k citations), Pathology and Forensic Medicine (1.4k citations) and Oncology (1.5k citations). Tsun Leung Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Suet Yi Leung, Siu Tsan Yuen, Wai Yin Tsui, Annie S Y Chan, Gordon K.�H. Au, Dora L.�W. Kwong, Carlo M. Croce, Chang‐Gong Liu, Krista A. Zanetti and Jane J. Sohn. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Nature Genetics.
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.