Wing Keung Chan

2.6k total citations · 1 hit paper
31 papers, 1.8k citations indexed

About

Wing Keung Chan is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Wing Keung Chan has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 12 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Wing Keung Chan's work include Immune Cell Function and Interaction (13 papers), CAR-T cell therapy research (12 papers) and T-cell and B-cell Immunology (6 papers). Wing Keung Chan is often cited by papers focused on Immune Cell Function and Interaction (13 papers), CAR-T cell therapy research (12 papers) and T-cell and B-cell Immunology (6 papers). Wing Keung Chan collaborates with scholars based in United States, Hong Kong and China. Wing Keung Chan's co-authors include Gcf Chan, Daniel Sze, YL Lau, Hkw Law, Michael A. Caligiuri, Jianhua Yu, Jianying Zhang, Wing Leung, Aaron Victor and Martha Holladay and has published in prestigious journals such as Blood, The Journal of Immunology and Cancer Research.

In The Last Decade

Wing Keung Chan

29 papers receiving 1.8k citations

Hit Papers

The effects of β-glucan on human immune and cancer cells 2009 2026 2014 2020 2009 200 400 600

Peers

Wing Keung Chan
Comparison fields: 5 of 108
  • Immunology 718
  • Oncology 486
  • Molecular Biology 421
  • Plant Science 369
  • Pharmacology 357
Replace Daniel J. Allendorf with:
Daniel J. Allendorf United States
Xiao‐Ming Gao China
Jianqing Yu China
Christian D. Sadik Germany
Marit Inngjerdingen Norway
Alex Tonks United Kingdom
Min-Nung Huang United States
Chuanlin Ding United States
Ramon Kaneno Brazil
Moacyr Jesus Barreto de Melo Rêgo Brazil
Daniel J. Allendorf United States View profile →
Citations per field, relative to Wing Keung Chan
Wing Keung Chan · 1×
Citations per year, relative to Wing Keung Chan
Wing Keung Chan · 1×

Countries citing papers authored by Wing Keung Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wing Keung Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wing Keung Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Wing Keung Chan. A scholar is included among the top collaborators of Wing Keung Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wing Keung Chan. Wing Keung Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 0
4 3
5 9
6 1
7 4
8 2
9 98
10 23
11 280
12 13
13 20
14 31
15 45
16
The effects of β-glucan on human immune and cancer cells breakdown →
680
17 24
18 95
19 62
20 47

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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