T.S.K. Wan
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Cancer Genomics and Diagnostics
Papers in
- Hematology 25
- Acute Myeloid Leukemia Research 22
- Chronic Myeloid Leukemia Treatments 7
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- Retinoids in leukemia and cellular processes 4
- Co-authors
- Sy Ha (18 shared papers)Yok‐Lam Kwong (8 shared papers)Edmond S.K. (18 shared papers)S. K. (6 shared papers)Raymond Liang (3 shared papers)Huihui Huang (1 shared paper)Loretta Y.Y. Chan (1 shared paper)Anskar Y.H. Leung (1 shared paper)
- Journals
- British Journal of Haematology (4 papers)Leukemia Research (3 papers)Journal of Clinical Pathology (2 papers)Cancer Genetics and Cytogenetics (10 papers)World Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
T.S.K. Wan
42 papers receiving 624 citations
Peers
Comparison fields: 5 of 63
- Hematology 234
- Cancer Research 120
- Genetics 81
- Oncology 165
- Molecular Biology 269
Countries citing papers authored by T.S.K. Wan
This map shows the geographic impact of T.S.K. Wan'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 T.S.K. Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.S.K. Wan more than expected).
Fields of papers citing papers by T.S.K. Wan
This network shows the impact of papers produced by T.S.K. Wan. 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 T.S.K. Wan. The network helps show where T.S.K. Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside T.S.K. Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 190 | |
| 2 | 1999 | 46 | |
| 3 | 2005 | 38 | |
| 4 | 2003 | 32 | |
| 5 | 1999 | 31 | |
| 6 | 1998 | 28 | |
| 7 | 2010 | 25 | |
| 8 | 1999 | 20 | |
| 9 | 1999 | 19 | |
| 10 | 2004 | 18 | |
| 11 | 2000 | 17 | |
| 12 | 1998 | 17 | |
| 13 | 2000 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2001 | 11 | |
| 16 | 2003 | 10 | |
| 17 | 1998 | 9 | |
| 18 | 2000 | 9 | |
| 19 | 1997 | 7 | |
| 20 | 2001 | 7 |
About T.S.K. Wan
T.S.K. Wan is a scholar working on Hematology, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Oncology, having authored 46 papers that have together received 639 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Chronic Myeloid Leukemia Treatments (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Retinoids in leukemia and cellular processes (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Hematology (234 citations), Cancer Research (120 citations), Genetics (81 citations), Oncology (165 citations) and Molecular Biology (269 citations). T.S.K. Wan has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Sy Ha, Yok‐Lam Kwong, Edmond S.K., S. K., Raymond Liang, Huihui Huang, Loretta Y.Y. Chan, Anskar Y.H. Leung, Joseph C.K. Leung and Alice M.S. Cheung. Their work appears in journals such as British Journal of Haematology, Leukemia Research, Journal of Clinical Pathology, Cancer Genetics and Cytogenetics and World Journal of Clinical Oncology.
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.