TK Chan
Impact in
- Hematology top 2%
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 26
- Acute Myeloid Leukemia Research 8
- Genetics 24
- Hemoglobinopathies and Related Disorders 15
- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Seang‐Mei Saw (2 shared papers)D. Todd (23 shared papers)Vivian Chan (13 shared papers)Vivian Chan (18 shared papers)Joanne Katz (1 shared paper)Sek‐Jin Chew (1 shared paper)Oliver D. Schein (1 shared paper)Raymond Liang (16 shared papers)
In The Last Decade
TK Chan
121 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 164
- Hematology 425
- Genetics 387
- Building and Construction 359
- Epidemiology 696
- Ophthalmology 156
Countries citing papers authored by TK Chan
This map shows the geographic impact of TK 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 TK Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TK Chan more than expected).
Fields of papers citing papers by TK Chan
This network shows the impact of papers produced by TK 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 TK Chan. The network helps show where TK Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside TK Chan, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 395 | |
| 2 | 2001 | 159 | |
| 3 | Fatal reactivation of chronic hepatitis B virus infection following withdrawal of chemotherapy in lymphoma patients. | 1989 | 119 |
| 4 | 1997 | 114 | |
| 5 | 1999 | 83 | |
| 6 | 1997 | 82 | |
| 7 | 2021 | 81 | |
| 8 | 2018 | 69 | |
| 9 | 1997 | 63 | |
| 10 | 2017 | 62 | |
| 11 | 1981 | 61 | |
| 12 | 1979 | 61 | |
| 13 | 2017 | 59 | |
| 14 | 1999 | 57 | |
| 15 | 1985 | 55 | |
| 16 | 1994 | 47 | |
| 17 | 1980 | 46 | |
| 18 | 2009 | 41 | |
| 19 | 2003 | 37 | |
| 20 | 1984 | 35 |
About TK Chan
TK Chan is a scholar working on Hematology, Genetics, Strategy and Management, Molecular Biology and Management Science and Operations Research, having authored 132 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Construction Project Management and Performance (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Acute Myeloid Leukemia Research (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Erythrocyte Function and Pathophysiology (7 papers), Lymphoma Diagnosis and Treatment (7 papers) and Acute Lymphoblastic Leukemia research (6 papers). The work is most often cited by research in Hematology (425 citations), Genetics (387 citations), Building and Construction (359 citations), Epidemiology (696 citations) and Ophthalmology (156 citations). TK Chan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Seang‐Mei Saw, D. Todd, Vivian Chan, Vivian Chan, Joanne Katz, Sek‐Jin Chew, Oliver D. Schein, Raymond Liang, Ajibade A. Aibinu and Hee Kiat Cheong. Their work appears in journals such as British Journal of Haematology, Blood, Hematological Oncology, American Journal of Hematology and Thrombosis Research.
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.