WC Chan

2.3k citations
27 papers · 1.6k · h-index 19

Impact in

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 6
    • T-cell and Retrovirus Studies 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 76
  • Pathology and Forensic Medicine 919
  • Genetics 368
  • Immunology 677
  • Oncology 643
  • Hematology 144
Replace A.C. Feller with:
A.C. Feller Germany
P. M. Kluin Netherlands
D M Knowles United States
Kenkichi Kita Japan
KJ Trainor Australia
CM Spier United States
MF Martelli Italy
Marco Fizzotti Italy
D Filippa United States
Robert Coupland Canada
WC Chan relative to A.C. Feller Germany A.C. Feller's profile →
Citations per field
00.5×
A.C. Feller · 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-authors

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

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996238
2 1987191
3 2009146
4 1986129
5 1995121
6 1993109
7 199497
8 198785
9 199565
10
The distribution and ontogeny of MHC antigens in murine ocular tissue.
198765
11 199657
12 198449
13 198846
14
Application of a T cell receptor antibody beta F1 for immunophenotypic analysis of malignant lymphomas.
198845
15 198935
16 198633
17 198933
18
T-cell large granular lymphocyte leukaemia
200128
19 200723
20 199411

About WC Chan

WC Chan is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Genetics and Genetics, having authored 27 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 B-cell Immunology (6 papers), T-cell and Retrovirus Studies (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Viral-associated cancers and disorders (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 (919 citations), Genetics (368 citations), Immunology (677 citations), Oncology (643 citations) and Hematology (144 citations). WC Chan has collaborated with scholars based in United States, Japan and Hong Kong. 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 C K Goldman. Their work appears in journals such as Blood, Annals of Oncology, Leukemia, Proceedings of the National Academy of Sciences and The Journal of Pathology.

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.

Explore authors with similar magnitude of impact