Mason M. C. Lau

652 total citations
36 papers, 492 citations indexed

About

Mason M. C. Lau is a scholar working on Clinical Psychology, Health and Modeling and Simulation. According to data from OpenAlex, Mason M. C. Lau has authored 36 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Clinical Psychology, 15 papers in Health and 10 papers in Modeling and Simulation. Recurrent topics in Mason M. C. Lau's work include COVID-19 and Mental Health (16 papers), Vaccine Coverage and Hesitancy (14 papers) and COVID-19 epidemiological studies (10 papers). Mason M. C. Lau is often cited by papers focused on COVID-19 and Mental Health (16 papers), Vaccine Coverage and Hesitancy (14 papers) and COVID-19 epidemiological studies (10 papers). Mason M. C. Lau collaborates with scholars based in Hong Kong, China and Macao. Mason M. C. Lau's co-authors include Joseph T. F. Lau, Yanqiu Yu, Anise M. S. Wu, Kit‐man Cheng, Danielle L. Gross, Rui She, Phoenix K. H. Mo, Xue Yang, Martin C. S. Wong and Paul K.S. Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Social Science & Medicine.

In The Last Decade

Mason M. C. Lau

35 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mason M. C. Lau Hong Kong 14 211 173 144 98 81 36 492
Renee Garett United States 6 148 0.7× 91 0.5× 93 0.6× 57 0.6× 30 0.4× 6 364
Meiqi Xin Hong Kong 12 121 0.6× 124 0.7× 192 1.3× 16 0.2× 45 0.6× 31 482
Renata Schiavo United States 11 211 1.0× 104 0.6× 216 1.5× 26 0.3× 35 0.4× 51 609
Jill Ryan South Africa 9 137 0.6× 232 1.3× 60 0.4× 51 0.5× 55 0.7× 24 407
Vincent Wan Ping Lee Hong Kong 12 107 0.5× 107 0.6× 101 0.7× 38 0.4× 26 0.3× 44 338
Elaine Robertson United Kingdom 5 173 0.8× 430 2.5× 110 0.8× 48 0.5× 45 0.6× 9 595
Owen Gallupe Canada 13 417 2.0× 96 0.6× 171 1.2× 24 0.2× 142 1.8× 30 728
Maya Adam United States 14 103 0.5× 112 0.6× 57 0.4× 74 0.8× 69 0.9× 43 522
Alexandra Budenz United States 9 409 1.9× 512 3.0× 101 0.7× 13 0.1× 71 0.9× 19 806
Diana Miconi Canada 15 262 1.2× 108 0.6× 428 3.0× 97 1.0× 14 0.2× 55 683

Countries citing papers authored by Mason M. C. Lau

Since Specialization
Citations

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

Fields of papers citing papers by Mason M. C. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mason M. C. Lau. 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 Mason M. C. Lau. The network helps show where Mason M. C. Lau may publish in the future.

Co-authorship network of co-authors of Mason M. C. Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Mason M. C. Lau. A scholar is included among the top collaborators of Mason M. C. Lau 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 Mason M. C. Lau. Mason M. C. Lau 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
2.
Mo, Phoenix K. H., et al.. (2023). Time to Lift up COVID-19 Restrictions? Public Support towards Living with the Virus Policy and Associated Factors among Hong Kong General Public. International Journal of Environmental Research and Public Health. 20(4). 2989–2989. 4 indexed citations
3.
Yu, Yanqiu, Mason M. C. Lau, & Joseph T. F. Lau. (2023). Reduction in COVID-19 related resource loss and decline in prevalence of probable depression in Chinese adults: an application of the Conservation of Resource Theory. Infectious Diseases of Poverty. 12(1). 6 indexed citations
4.
Yu, Yanqiu, Xiaoying Zhang, Mason M. C. Lau, & Joseph T. F. Lau. (2023). The intention to get COVID-19 booster vaccination and its association with cognitive and emotional factors: A survey of Chinese COVID-19 infected people in Hong Kong. Vaccine. 42(2). 206–212. 1 indexed citations
5.
Yu, Yanqiu, Mason M. C. Lau, & Joseph T. F. Lau. (2022). Application of the protection motivation theory to understand determinants of compliance with the measure of banning gathering size >4 in all public areas for controlling COVID-19 in a Hong Kong Chinese adult general population. SHILAP Revista de lepidopterología. 1 indexed citations
6.
8.
Yu, Yanqiu, Anise M. S. Wu, Yun Kwok Wing, et al.. (2022). Validation of the Revised Illness Perception Questionnaire of Obstructive Sleep Apnea among Elderly Chinese in the General Population. Sleep And Breathing. 27(1). 337–344. 3 indexed citations
10.
Yu, Yanqiu, Wanru Jia, Mason M. C. Lau, & Joseph T. F. Lau. (2021). Levels and factors derived from the Health Action Process Approach of behavioral intentions to take up COVID-19 vaccination: A random population-based study. Vaccine. 40(4). 612–620. 4 indexed citations
11.
Yu, Yanqiu, Joseph T. F. Lau, & Mason M. C. Lau. (2021). Development and validation of the conservation of resources scale for COVID-19 in the Chinese adult general population. Current Psychology. 42(8). 6447–6456. 22 indexed citations
12.
Xin, Meiqi, Joseph T. F. Lau, & Mason M. C. Lau. (2021). Multi-dimensional factors related to participation in a population-wide mass COVID-19 testing program among Hong Kong adults: A population-based randomized survey. Social Science & Medicine. 294. 114692–114692. 12 indexed citations
14.
Yu, Yanqiu, Joseph T. F. Lau, & Mason M. C. Lau. (2020). Competing or Interactive Effect Between Perceived Response Efficacy of Governmental Social Distancing Behaviors and Personal Freedom on Social Distancing Behaviors in the Chinese Adult General Population in Hong Kong. International Journal of Health Policy and Management. 11(4). 498–507. 14 indexed citations
15.
Li, Jinghua, Joseph T. F. Lau, Yee Ling, & Mason M. C. Lau. (2018). Trend and Factors Associated with Condom Use Among Male Clients of Female Sex Workers in Hong Kong: Findings of 13 Serial Behavioural Surveillance Surveys. AIDS and Behavior. 22(7). 2235–2247. 4 indexed citations
16.
Lau, Joseph T. F., Anise M. S. Wu, Kit‐man Cheng, et al.. (2017). Prevalence and factors of self‐corrective intention among Hong Kong secondary school students who are self‐assessed Internet addiction cases. Child and Adolescent Mental Health. 23(3). 155–163. 5 indexed citations
17.
Wu, Anise M. S., Joseph T. F. Lau, Kit‐man Cheng, et al.. (2016). Direct and Interaction Effects of Co-Existing Familial Risk Factors and Protective Factors Associated With Internet Addiction Among Chinese Students in Hong Kong. The Journal of Early Adolescence. 38(4). 429–450. 13 indexed citations
18.
Wu, Anise M. S., Jibin Li, Joseph T. F. Lau, Phoenix K. H. Mo, & Mason M. C. Lau. (2016). Potential impact of internet addiction and protective psychosocial factors onto depression among Hong Kong Chinese adolescents – direct, mediation and moderation effects. Comprehensive Psychiatry. 70. 41–52. 39 indexed citations
19.
Wu, Anise M. S., Joseph T. F. Lau, Yee Ling, & Mason M. C. Lau. (2015). Prevalence and associated factors of seasonal influenza vaccination among 24- to 59-month-old children in Hong Kong. Vaccine. 33(30). 3556–3561. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026