Wai‐Kong Chan

1.5k total citations · 1 hit paper
11 papers, 1.0k citations indexed

About

Wai‐Kong Chan is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Wai‐Kong Chan has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Wai‐Kong Chan's work include IgG4-Related and Inflammatory Diseases (2 papers), Genetic Syndromes and Imprinting (1 paper) and Bone Tissue Engineering Materials (1 paper). Wai‐Kong Chan is often cited by papers focused on IgG4-Related and Inflammatory Diseases (2 papers), Genetic Syndromes and Imprinting (1 paper) and Bone Tissue Engineering Materials (1 paper). Wai‐Kong Chan collaborates with scholars based in Hong Kong, China and United States. Wai‐Kong Chan's co-authors include Wah Cheuk, Alexander Chan, Edmond S.K., John K. C. Chan, Tong Yu, Lee‐Yung Shih, Tak Yeung Leung, Paul B.S. Lai, Yuk Ming Dennis Lo and Rossa W. K. Chiu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The American Journal of Surgical Pathology and Modern Pathology.

In The Last Decade

Wai‐Kong Chan

10 papers receiving 990 citations

Hit Papers

Plasma DNA tissue mapping by genome-wide methylation sequ... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Wai‐Kong Chan
Comparison fields: 5 of 73
  • Cancer Research 394
  • Molecular Biology 360
  • Rheumatology 244
  • Pathology and Forensic Medicine 230
  • Oncology 227
Replace Michael Jeffers with:
Michael Jeffers Ireland
Carme Mallofré Spain
Giuseppe Angelico Italy
Michele De Nictolis Italy
Noriko Sakaida Japan
Susan A. Silver United States
Diane L. Pickering United States
Evgeny A. Moskalev Germany
M.C. del Cañizo Spain
Aurelia Meloni‐Ehrig United States
Michael Jeffers Ireland View profile →
Citations per field, relative to Wai‐Kong Chan
Wai‐Kong Chan · 1×
Citations per year, relative to Wai‐Kong Chan
Wai‐Kong Chan · 1×

Countries citing papers authored by Wai‐Kong Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wai‐Kong Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wai‐Kong Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Wai‐Kong Chan. A scholar is included among the top collaborators of Wai‐Kong 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 Wai‐Kong Chan. Wai‐Kong Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 2
2 13
3 30
4
Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments breakdown →
505
5 24
6 14
7 137
8 31
9 226
10 36
11 0

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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