Suk-King Wan

About

Suk-King Wan is a scholar working on Surgery, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Suk-King Wan has authored 7 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in Suk-King Wan’s work include Salivary Gland Tumors Diagnosis and Treatment (2 papers), Breast Lesions and Carcinomas (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). Suk-King Wan is often cited by papers focused on Salivary Gland Tumors Diagnosis and Treatment (2 papers), Breast Lesions and Carcinomas (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). Suk-King Wan collaborates with scholars based in Hong Kong, United States and China. Suk-King Wan's co-authors include John Chan, John K. C. Chan, Alexander Chan, Wah Cheuk, Wai‐Kong Chan, John Chan, Timothy T.C. Yip, Wai‐Hon Lau, Ka‐Po Tse and Polly W.Y. Lam and has published in prestigious journals such as Cancer, The American Journal of Surgical Pathology and American Journal of Clinical Pathology.

In The Last Decade

Co-authorship network of co-authors of Suk-King Wan i

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Fields of papers citing papers by Suk-King Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk-King Wan. 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 Suk-King Wan. The network helps show where Suk-King Wan may publish in the future.

Countries citing papers authored by Suk-King Wan

Since Specialization

Citations

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

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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