T.S.K. Wan

928 citations
44 papers · 610 indexed · h-index 13

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Cancer Genomics and Diagnostics

Papers in

    • Acute Myeloid Leukemia Research 22
    • Chronic Myeloid Leukemia Treatments 7
    • Chronic Lymphocytic Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • Genomic variations and chromosomal abnormalities 3

T.S.K. Wan

40 papers receiving 598 citations

Peers

T.S.K. Wan
Comparison fields: 5 of 65
  • Hematology 249
  • Cancer Research 130
  • Genetics 86
  • Oncology 174
  • Molecular Biology 269
Replace Stéphanie Struski with:
Stéphanie Struski France
Makoto Futaki Japan
Kim L. Rice United States
Anna Leszl Italy
N Bown United Kingdom
Diana L. Hulboy United States
Cathy M. Price United Kingdom
S. Jani-Sait United States
Hendrati Pirc‐Danoewinata Austria
Munetake Shimabe Japan
T.S.K. Wan relative to Stéphanie Struski France Stéphanie Struski's profile →
Citations per field
00.5×1.6×
Stéphanie Struski · 1×
Citations per year

Countries citing papers authored by T.S.K. Wan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with T.S.K. Wan Line = papers co-authored together T.S.K. Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 202412
5 20177
6 20080
7 2007181
8 200418
9 200331
10 20026
11 200111
12 20004
13 200015
14 19992
15 199931
16 199945
17 199918
18 199826
19 19988
20 19977

About T.S.K. Wan

T.S.K. Wan is a scholar working on Hematology, Genetics, Aging, Rheumatology and Oncology, having authored 44 papers that have together received 610 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), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Retinoids in leukemia and cellular processes (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Hematology (249 citations), Cancer Research (130 citations), Genetics (86 citations), Oncology (174 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, Loretta Y.Y. Chan, Huihui Huang, Joseph C.K. Leung, Anskar Y.H. 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 Molecular Carcinogenesis.

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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