KW Chik

427 citations
16 papers · 333 · h-index 10

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Hemoglobinopathies and Related Disorders 4
    • Blood disorders and treatments 3

KW Chik

16 papers receiving 313 citations

Peers

KW Chik
Comparison fields: 5 of 48
  • Hematology 147
  • Genetics 61
  • Epidemiology 115
  • Immunology 52
  • Oncology 64
Replace M. M. K. Shing with:
M. M. K. Shing Hong Kong
H Perrimond France
Montserrat Rovira Spain
James S. Elliott United States
Olle Ringd n Sweden
A. De Laurenzi Italy
Vasiliki Vlacha Greece
Canan Uçar Türkiye
Gastaut Ja France
L. Pitcher Australia
KW Chik relative to M. M. K. Shing Hong Kong M. M. K. Shing's profile →
Citations per field
00.5×5.2×
M. M. K. Shing · 1×
Citations per year

Countries citing papers authored by KW Chik

Since Specialization
Citations

This map shows the geographic impact of KW Chik'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 KW Chik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites KW Chik more than expected).

Fields of papers citing papers by KW Chik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by KW Chik. 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 KW Chik. The network helps show where KW Chik may publish in the future.

Co-authors

The 16 scholars most cited alongside KW Chik, 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 KW Chik Line = papers co-authored together KW Chik links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200079
2 200137
3 199933
4 200031
5 200030
6 200224
7 200224
8 200023
9 199814
10 199913
11 19967
12 20017
13 20015
14 20024
15
Treatment of Paediatric Cancers in Hong Kong: An Interim Report
20011
16
Modern Management of Medulloblastoma in Children: An Up-date of Literature Review
20041

About KW Chik

KW Chik is a scholar working on Hematology, Genetics, Oncology, Epidemiology and Genetics, having authored 16 papers that have together received 333 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Polyomavirus and related diseases (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Blood disorders and treatments (3 papers), Neuroblastoma Research and Treatments (2 papers), Herpesvirus Infections and Treatments (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hematology (147 citations), Genetics (61 citations), Epidemiology (115 citations), Immunology (52 citations) and Oncology (64 citations). KW Chik has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Chi Kong Li, Vickie Lee, M. M. K. Shing, TF Leung, K. Arnold Chan, Sima Jeha, A. F. B. Cheng, Raymond Wong, Joannie Hui and TF Fok. Their work appears in journals such as Bone Marrow Transplantation, Acta Paediatrica, Blood and Journal of Paediatrics and Child Health.

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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