Wilson Cheung

638 total citations
9 papers, 403 citations indexed

About

Wilson Cheung is a scholar working on Oncology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wilson Cheung has authored 9 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Pathology and Forensic Medicine and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wilson Cheung's work include Colorectal Cancer Screening and Detection (4 papers), Genetic factors in colorectal cancer (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Wilson Cheung is often cited by papers focused on Colorectal Cancer Screening and Detection (4 papers), Genetic factors in colorectal cancer (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Wilson Cheung collaborates with scholars based in Hong Kong, China and Singapore. Wilson Cheung's co-authors include Martin C. S. Wong, William B. Goggins, Chi‐Fai Ng, Colette Leung, Franklin D. H. Fung, Yuan Fang, Joseph J.�Y. Sung, Miaoyin Liang, Jessica Y. L. Ching and Haoxiang Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Gastroenterology.

In The Last Decade

Wilson Cheung

9 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wilson Cheung Hong Kong 6 171 169 93 67 59 9 403
Rafael Hernández Hernández Venezuela 12 257 1.5× 99 0.6× 78 0.8× 49 0.7× 98 1.7× 19 677
Sean Skeldon Canada 12 293 1.7× 76 0.4× 121 1.3× 65 1.0× 65 1.1× 20 636
Andrew Woolston United Kingdom 10 67 0.4× 135 0.8× 60 0.6× 40 0.6× 99 1.7× 19 523
Dana M. Hayden United States 13 374 2.2× 266 1.6× 85 0.9× 26 0.4× 50 0.8× 44 644
Jonathan Masters New Zealand 14 135 0.8× 142 0.8× 175 1.9× 16 0.2× 103 1.7× 28 577
Sheray N. Chin Jamaica 11 115 0.7× 208 1.2× 99 1.1× 44 0.7× 28 0.5× 23 479
Sepehr Salem Iran 12 237 1.4× 73 0.4× 134 1.4× 20 0.3× 68 1.2× 20 544
Aarthi Balasubramanyam United States 11 69 0.4× 51 0.3× 62 0.7× 27 0.4× 33 0.6× 15 445
E. Lindholm Sweden 12 282 1.6× 541 3.2× 250 2.7× 170 2.5× 21 0.4× 16 713
Joyce M. Ford Australia 9 103 0.6× 148 0.9× 88 0.9× 21 0.3× 33 0.6× 13 366

Countries citing papers authored by Wilson Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Wilson Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wilson Cheung. 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 Wilson Cheung. The network helps show where Wilson Cheung may publish in the future.

Co-authorship network of co-authors of Wilson Cheung

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

All Works

9 of 9 papers shown
1.
Cheung, Wilson, et al.. (2023). Antimicrobial activity of selected plant extracts against common food borne pathogenic bacteria. Food and Humanity. 1. 64–70. 7 indexed citations
2.
Yeoh, Eng‐Kiong, Martin C. S. Wong, Eliza Lai‐Yi Wong, et al.. (2018). Benefits and limitations of implementing Chronic Care Model (CCM) in primary care programs: A systematic review. International Journal of Cardiology. 258. 279–288. 69 indexed citations
3.
Fang, Yuan, Haoxiang Wang, Miaoyin Liang, et al.. (2018). The adoption of hypertension reference framework: An investigation among primary care physicians of Hong Kong. PLoS ONE. 13(10). e0205529–e0205529. 3 indexed citations
4.
Wong, Martin C. S., Franklin D. H. Fung, Colette Leung, et al.. (2018). The global epidemiology of bladder cancer: a joinpoint regression analysis of its incidence and mortality trends and projection. Scientific Reports. 8(1). 211 indexed citations
5.
Wong, Martin C. S., Chy Chan, Junjie Huang, et al.. (2018). Lower Relative Contribution of Positive Family History to Colorectal Cancer Risk with Increasing Age: A Systematic Review and Meta-Analysis of 9.28 Million Individuals. The American Journal of Gastroenterology. 113(12). 1819–1827. 37 indexed citations
6.
Wong, Martin C. S., Wilson Cheung, Miaoyin Liang, et al.. (2017). Association between investigator-measured body-mass index and colorectal adenoma: a systematic review and meta-analysis of 168,201 subjects. European Journal of Epidemiology. 33(1). 15–26. 21 indexed citations
7.
Sung, Joseph J.�Y., Martin C. S. Wong, Thomas Y. Lam, et al.. (2017). A modified colorectal screening score for prediction of advanced neoplasia: A prospective study of 5744 subjects. Journal of Gastroenterology and Hepatology. 33(1). 187–194. 47 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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