WC Chan

2.3k citations
26 papers · 1.6k indexed · h-index 19

Impact in

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and Retrovirus Studies 6
    • T-cell and B-cell Immunology 6
    • Immunodeficiency and Autoimmune Disorders 3
    • Lymphoma Diagnosis and Treatment 14

WC Chan

25 papers receiving 1.6k citations

Peers

WC Chan
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 959
  • Genetics 405
  • Immunology 707
  • Oncology 718
  • Hematology 149
Replace H Griesser with:
H Griesser Canada
P. M. Kluin Netherlands
Henrik Griesser Germany
CM Spier United States
D M Knowles United States
Robert Coupland Canada
ES Jaffe United States
Momoko Nishikori Japan
Marco Fizzotti Italy
Björn E. Wahlin Sweden
WC Chan relative to H Griesser Canada H Griesser's profile →
Citations per field
00.5×
H Griesser · 1×
Citations per year

Countries citing papers authored by WC Chan

Since Specialization
Citations

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

Fields of papers citing papers by WC Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside WC 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 WC Chan Line = papers co-authored together WC Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Assessing DLBCL subtypes by immunohistochemistry E-Letter in response to Gutierrez-Garcia et al
20110
2 2009145
3 200722
4
T-cell large granular lymphocyte leukaemia
200128
5 19969
6 1996238
7 199565
8 199497
9 1993110
10 198933
11 198934
12 198846
13 19886
14
Application of a T cell receptor antibody beta F1 for immunophenotypic analysis of malignant lymphomas.
198845
15 198810
16 19881
17 1987191
18 198633
19 1986128
20 198449

About WC Chan

WC Chan is a scholar working on Immunology, Pathology and Forensic Medicine, Genetics, Oncology and Hematology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Immune Cell Function and Interaction (9 papers), T-cell and Retrovirus Studies (6 papers), T-cell and B-cell Immunology (6 papers), Viral-associated cancers and disorders (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Blood disorders and treatments (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (959 citations), Genetics (405 citations), Immunology (707 citations), Oncology (718 citations) and Hematology (149 citations). WC Chan has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include DD Weisenburger, JR Anderson, EF Winton, TC Greiner, RK Brynes, Anne Pedersen, Irene J. Check, Jan Delabie, Kathleen F. Bongiovanni and Elizabeth A. Grimm. Their work appears in journals such as Blood, Leukemia, The Journal of Pathology, Annals of Oncology and Proceedings of the National Academy of Sciences.

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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