William C.W. Wong

33 total papers · 778 total citations
26 papers, 586 citations indexed

About

William C.W. Wong is a scholar working on Epidemiology, Sociology and Political Science and Gender Studies. According to data from OpenAlex, William C.W. Wong has authored 26 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 11 papers in Sociology and Political Science and 7 papers in Gender Studies. Recurrent topics in William C.W. Wong's work include HIV, Drug Use, Sexual Risk (10 papers), Sex work and related issues (10 papers) and HIV/AIDS Research and Interventions (5 papers). William C.W. Wong is often cited by papers focused on HIV, Drug Use, Sexual Risk (10 papers), Sex work and related issues (10 papers) and HIV/AIDS Research and Interventions (5 papers). William C.W. Wong collaborates with scholars based in Hong Kong, China and United States. William C.W. Wong's co-authors include Graham Hart, Catherine S. K. Cheung, Davina C. Ling, Yilin Wang, Eleanor Holroyd, Suzanne C. Ho, Ann Marie Gray, Lei Zhang, Wai‐Kay Seto and Zhuoru Zou and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and International Journal of Environmental Research and Public Health.

In The Last Decade

William C.W. Wong

25 papers receiving 571 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William C.W. Wong 222 171 105 84 79 26 586
Simon Graham 214 1.0× 78 0.5× 162 1.5× 59 0.7× 35 0.4× 34 678
Wendy Carter 191 0.9× 86 0.5× 84 0.8× 55 0.7× 107 1.4× 25 656
Anli Leng 118 0.5× 89 0.5× 88 0.8× 98 1.2× 151 1.9× 24 566
Nikhil Prachand 270 1.2× 135 0.8× 158 1.5× 90 1.1× 252 3.2× 26 628
Laura Hawks 88 0.4× 164 1.0× 208 2.0× 95 1.1× 63 0.8× 30 559
Wei‐Chen Tung 217 1.0× 83 0.5× 187 1.8× 102 1.2× 84 1.1× 62 570
Nathalie Beltzer 232 1.0× 93 0.5× 199 1.9× 56 0.7× 158 2.0× 52 637
Atefeh Noori 219 1.0× 74 0.4× 81 0.8× 89 1.1× 103 1.3× 34 638
Jacqueline Tran 128 0.6× 78 0.5× 210 2.0× 58 0.7× 42 0.5× 33 574
Abdülbari Bener 121 0.5× 135 0.8× 48 0.5× 162 1.9× 16 0.2× 35 666

Countries citing papers authored by William C.W. Wong

Since Specialization
Citations

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

Fields of papers citing papers by William C.W. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C.W. Wong. 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 William C.W. Wong. The network helps show where William C.W. Wong may publish in the future.

Co-authorship network of co-authors of William C.W. Wong

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

All Works

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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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