TK Chan

3.3k citations
120 papers · 2.6k · h-index 26

Impact in

  • Hematology top 2%
    • Iron Metabolism and Disorders
  • Genetics top 2%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 17
    • Chronic Lymphocytic Leukemia Research 9
    • Acute Myeloid Leukemia Research 8

TK Chan

116 papers receiving 2.5k citations

Peers

TK Chan
Comparison fields: 5 of 163
  • Hematology 471
  • Genetics 386
  • Ophthalmology 302
  • Building and Construction 350
  • Epidemiology 719
Replace John Liu with:
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TK Chan relative to John Liu United States John Liu's profile →
Citations per field
00.5×10×13.5×
John Liu · 1×
Citations per year

Countries citing papers authored by TK Chan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with TK Chan Line = papers co-authored together TK Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996384
2 2001155
3
Fatal reactivation of chronic hepatitis B virus infection following withdrawal of chemotherapy in lymphoma patients.
1989113
4 1997106
5 199780
6 199977
7 202173
8 201865
9 201761
10 197956
11 201756
12 199754
13 199954
14 198554
15 198147
16 198046
17 199445
18 200940
19 200334
20 200233

About TK Chan

TK Chan is a scholar working on Genetics, Hematology, Molecular Biology, Management Science and Operations Research and Immunology, having authored 120 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (17 papers), Construction Project Management and Performance (12 papers), Chronic Lymphocytic Leukemia Research (9 papers), Acute Myeloid Leukemia Research (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers) and Structural Load-Bearing Analysis (6 papers). The work is most often cited by research in Hematology (471 citations), Genetics (386 citations), Ophthalmology (302 citations), Building and Construction (350 citations) and Epidemiology (719 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, Sek‐Jin Chew, Oliver D. Schein, Joanne Katz, Raymond Liang, Hee Kiat Cheong and Ajibade A. Aibinu. Their work appears in journals such as British Journal of Haematology, Blood, Hematological Oncology, Journal of Structural Engineering and American Journal of Hematology.

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.

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