Wah Cheuk

13.1k total citations
95 papers, 4.1k citations indexed

About

Wah Cheuk is a scholar working on Oncology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Wah Cheuk has authored 95 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Oncology, 29 papers in Surgery and 25 papers in Pathology and Forensic Medicine. Recurrent topics in Wah Cheuk's work include IgG4-Related and Inflammatory Diseases (18 papers), Viral-associated cancers and disorders (15 papers) and Histiocytic Disorders and Treatments (14 papers). Wah Cheuk is often cited by papers focused on IgG4-Related and Inflammatory Diseases (18 papers), Viral-associated cancers and disorders (15 papers) and Histiocytic Disorders and Treatments (14 papers). Wah Cheuk collaborates with scholars based in China, Hong Kong and United Kingdom. Wah Cheuk's 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 Louis Lam and has published in prestigious journals such as Nature Communications, Cancer Research and Clinical Infectious Diseases.

In The Last Decade

Wah Cheuk

92 papers receiving 4.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wah Cheuk China 32 1.7k 1.6k 1.4k 1.2k 854 95 4.1k
John K. C. Chan China 43 2.0k 1.2× 2.0k 1.2× 2.5k 1.8× 1.2k 1.0× 2.3k 2.7× 145 6.5k
Rita Alaggio Italy 42 1.9k 1.1× 1.5k 0.9× 1.5k 1.1× 742 0.6× 1.4k 1.6× 269 6.2k
J. Fernando Val‐Bernal Spain 25 773 0.5× 1.1k 0.7× 672 0.5× 454 0.4× 412 0.5× 254 2.9k
Paul E. Wakely United States 33 865 0.5× 1.5k 0.9× 1.3k 0.9× 599 0.5× 875 1.0× 221 4.6k
Susan L. Abbondanzo United States 35 518 0.3× 761 0.5× 1.7k 1.2× 418 0.4× 1.4k 1.6× 89 3.8k
Guido Pettinato Italy 37 793 0.5× 1.1k 0.7× 1.6k 1.1× 733 0.6× 1.0k 1.2× 144 4.4k
José Luis Rodríguez‐­Peralto Spain 35 595 0.4× 751 0.5× 1.5k 1.1× 1000 0.8× 1.0k 1.2× 316 4.8k
Samir K. El‐Mofty United States 40 893 0.5× 2.5k 1.5× 1.7k 1.2× 638 0.5× 621 0.7× 98 4.8k
Norio Azumi United States 33 478 0.3× 657 0.4× 1.2k 0.8× 544 0.5× 598 0.7× 92 3.0k
Alfred Beham Austria 31 1.4k 0.8× 1.1k 0.7× 1.6k 1.1× 276 0.2× 839 1.0× 136 4.0k

Countries citing papers authored by Wah Cheuk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wah Cheuk

This figure shows the co-authorship network connecting the top 25 collaborators of Wah Cheuk. A scholar is included among the top collaborators of Wah Cheuk 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 Wah Cheuk. Wah Cheuk 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
1.
Naresh, Kikkeri N., Kennosuke Karube, Anita Borges, et al.. (2025). Fifth edition WHO classification: mature B-cell neoplasms. Journal of Clinical Pathology. 78(11). 725–739.
2.
Cheuk, Wah, Ming Lin, Dinesh Selva, et al.. (2024). Advances in understanding and management of IgG4-related ophthalmic disease. Asia-Pacific Journal of Ophthalmology. 13(5). 100101–100101. 1 indexed citations
3.
Cheuk, Wah, et al.. (2023). EBV-negative Fibrin-Associated Large B-Cell Lymphoma Arising in Thyroid Hyperplastic Nodule: Report of a Case and Literature Review. International Journal of Surgical Pathology. 31(7). 1420–1425. 1 indexed citations
4.
Choi, Paul Cheung‐Lung, et al.. (2023). Immunoglobulin G4-related orbital xanthogranulomatous disease: A case series and literature review. Journal Français d Ophtalmologie. 47(1). 103914–103914. 1 indexed citations
5.
Huang, Hao, Jianyang Hu, Qinghua Huang, et al.. (2021). Defining super-enhancer landscape in triple-negative breast cancer by multiomic profiling. Nature Communications. 12(1). 2242–2242. 76 indexed citations
6.
Yu, Ying, Ka Yu Tse, Horace H.Y. Lee, et al.. (2019). Predictive biomarkers and tumor microenvironment in female genital melanomas: a multi-institutional study of 55 cases. Modern Pathology. 33(1). 138–152. 13 indexed citations
7.
Guo, Shuangping, John K. C. Chan, Javeed Iqbal, et al.. (2014). EZH2 Mutations in Follicular Lymphoma from Different Ethnic Groups and Associated Gene Expression Alterations. Clinical Cancer Research. 20(12). 3078–3086. 30 indexed citations
8.
Cheuk, Wah & John K.C. Chan. (2012). Lymphadenopathy of IgG4-related disease: an underdiagnosed and overdiagnosed entity. Seminars in Diagnostic Pathology. 29(4). 226–234. 101 indexed citations
9.
Chen, Gang, et al.. (2011). Carcinosarcoma Ex Eccrine Spiradenoma of the Vulva. International Journal of Gynecological Pathology. 33(3). 301–305. 9 indexed citations
10.
Chan, John, et al.. (2011). Type II Enteropathy-Associated T-Cell Lymphoma. The American Journal of Surgical Pathology. 35(10). 1557–1569. 137 indexed citations
11.
Cheuk, Wah & John K.C. Chan. (2010). IgG4-related Sclerosing Disease. Advances in Anatomic Pathology. 17(5). 303–332. 299 indexed citations
12.
Cheuk, Wah, et al.. (2010). Idiopathic Cervical Fibrosis—A New Member of IgG4-Related Sclerosing Diseases: Report of 4 Cases, 1 Complicated by Composite Lymphoma. The American Journal of Surgical Pathology. 34(11). 1678–1685. 31 indexed citations
13.
Cheuk, Wah, et al.. (2008). Lymphadenopathy of IgG4-related Sclerosing Disease. The American Journal of Surgical Pathology. 32(5). 671–681. 221 indexed citations
14.
Cheuk, Wah & John K. Chan. (2007). Advances in salivary gland pathology. Histopathology. 51(1). 1–20. 162 indexed citations
15.
Cheuk, Wah, William Y.W. Tsang, & John Chan. (2005). Microthymoma. The American Journal of Surgical Pathology. 29(3). 415–419. 20 indexed citations
16.
Cheuk, Wah, et al.. (2004). Immunostaining for Human Herpesvirus 8 Latent Nuclear Antigen-1 Helps Distinguish Kaposi Sarcoma From Its Mimickers. American Journal of Clinical Pathology. 121(3). 335–342. 79 indexed citations
17.
Martel, Maritza, Wah Cheuk, Luciano Lombardi, et al.. (2004). Sclerosing Angiomatoid Nodular Transformation (SANT). The American Journal of Surgical Pathology. 28(10). 1268–1279. 186 indexed citations
18.
Cheuk, Wah & John K. C. Chan. (2002). Kuttner Tumor of the Submandibular Gland. American Journal of Clinical Pathology. 117(1). 103–108. 26 indexed citations
19.
Cheuk, Wah, Patrick CK Li, & John K. Chan. (2002). Epstein–Barr virus-associated smooth muscle tumour: a distinctive mesenchymal tumour of immunocompromised individuals. Pathology. 34(3). 245–249. 41 indexed citations
20.
Cheuk, Wah & John K.C. Chan. (2001). Timely topic: Anaplastic lymphoma kinase (ALK) spreads its influence. Pathology. 33(1). 7–12. 9 indexed citations

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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