Wah Cheuk
Impact in
- Rheumatology top 0.2%
- IgG4-Related and Inflammatory Diseases
- Soft tissue tumor case studies
- Oncology top 2%
- Viral-associated cancers and disorders
Papers in
- Co-authors
- John K.C. Chan (16 shared papers)John K. C. Chan (22 shared papers)John K. Chan (8 shared papers)Alexander Chan (6 shared papers)Hunter K.L. Yuen (6 shared papers)John K. C. Chan (4 shared papers)Wai‐Kong Chan (4 shared papers)Saul Suster (1 shared paper)
- Journals
- The American Journal of Surgical Pathology (24 papers)Archives of Pathology & Laboratory Medicine (6 papers)Pathology (3 papers)American Journal of Clinical Pathology (3 papers)Modern Pathology (3 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Wah Cheuk
93 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 102
- Rheumatology 1.6k
- Oncology 1.2k
- Pathology and Forensic Medicine 748
- Surgery 1.4k
- Epidemiology 952
Countries citing papers authored by Wah Cheuk
This map shows the geographic impact of Wah Cheuk'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 Wah Cheuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wah Cheuk more than expected).
Fields of papers citing papers by Wah Cheuk
This network shows the impact of papers produced by Wah Cheuk. 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 Wah Cheuk. The network helps show where Wah Cheuk may publish in the future.
Co-authors
The 25 scholars most cited alongside Wah Cheuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 303 | |
| 2 | 2001 | 245 | |
| 3 | 2008 | 228 | |
| 4 | 2008 | 223 | |
| 5 | 2001 | 186 | |
| 6 | 2004 | 186 | |
| 7 | 2001 | 173 | |
| 8 | 2006 | 165 | |
| 9 | 2007 | 162 | |
| 10 | 2011 | 139 | |
| 11 | 2009 | 137 | |
| 12 | 1999 | 111 | |
| 13 | 2012 | 101 | |
| 14 | 2010 | 91 | |
| 15 | 2009 | 88 | |
| 16 | 2021 | 81 | |
| 17 | 2004 | 81 | |
| 18 | 2005 | 78 | |
| 19 | 2009 | 77 | |
| 20 | 2004 | 73 |
About Wah Cheuk
Wah Cheuk is a scholar working on Oncology, Surgery, Rheumatology, Pathology and Forensic Medicine and Epidemiology, having authored 98 papers that have together received 4.2k indexed citations. Recurring topics across this work include IgG4-Related and Inflammatory Diseases (18 papers), Viral-associated cancers and disorders (14 papers), Histiocytic Disorders and Treatments (14 papers), Lymphoma Diagnosis and Treatment (13 papers), Neuroendocrine Tumor Research Advances (11 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers), Soft tissue tumor case studies (7 papers) and Tumors and Oncological Cases (7 papers). The work is most often cited by research in Rheumatology (1.6k citations), Oncology (1.2k citations), Pathology and Forensic Medicine (748 citations), Surgery (1.4k citations) and Epidemiology (952 citations). Wah Cheuk has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include John K.C. Chan, John K. C. Chan, John K. Chan, Alexander Chan, Hunter K.L. Yuen, John K. C. Chan, Wai‐Kong Chan, Saul Suster, John K. C. Chan and Edmond Chiu. Their work appears in journals such as The American Journal of Surgical Pathology, Archives of Pathology & Laboratory Medicine, Pathology, American Journal of Clinical Pathology and Modern 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.