Ruby C. M. Chau

744 total citations
45 papers, 487 citations indexed

About

Ruby C. M. Chau is a scholar working on Political Science and International Relations, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Ruby C. M. Chau has authored 45 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Political Science and International Relations, 25 papers in General Health Professions and 13 papers in Sociology and Political Science. Recurrent topics in Ruby C. M. Chau's work include Social Policy and Reform Studies (33 papers), Employment and Welfare Studies (21 papers) and Housing, Finance, and Neoliberalism (11 papers). Ruby C. M. Chau is often cited by papers focused on Social Policy and Reform Studies (33 papers), Employment and Welfare Studies (21 papers) and Housing, Finance, and Neoliberalism (11 papers). Ruby C. M. Chau collaborates with scholars based in Hong Kong, United Kingdom and China. Ruby C. M. Chau's co-authors include Sam W. K. Yu, Kate Gerrish, Liam Foster, Jane Seymour, Kim-ming Lee, Sheila Payne, Margaret Holloway, Maggie Lau, Kathy Boxall and Stefan Kühner and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Australasian Journal of Paramedicine and International Journal of Urban and Regional Research.

In The Last Decade

Ruby C. M. Chau

43 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruby C. M. Chau Hong Kong 10 231 217 165 144 53 45 487
Sue Westwood United Kingdom 15 151 0.7× 201 0.9× 55 0.3× 121 0.8× 29 0.5× 51 638
Albert Banerjee Canada 11 374 1.6× 168 0.8× 75 0.5× 80 0.6× 33 0.6× 26 579
Isabel Shutes United Kingdom 13 383 1.7× 373 1.7× 217 1.3× 54 0.4× 26 0.5× 25 625
Allan Borowski Australia 11 188 0.8× 200 0.9× 40 0.2× 132 0.9× 41 0.8× 43 556
Julie Ridley United Kingdom 19 385 1.7× 147 0.7× 93 0.6× 243 1.7× 51 1.0× 55 743
John Pitts United Kingdom 16 320 1.4× 480 2.2× 97 0.6× 231 1.6× 12 0.2× 70 769
Douglas J. Besharov United States 17 221 1.0× 284 1.3× 51 0.3× 401 2.8× 15 0.3× 84 813
Charlotte Pearson United Kingdom 15 254 1.1× 103 0.5× 235 1.4× 62 0.4× 117 2.2× 45 669
Sheying Chen United States 13 122 0.5× 203 0.9× 40 0.2× 108 0.8× 14 0.3× 44 430
Kelley Fong United States 13 319 1.4× 223 1.0× 28 0.2× 285 2.0× 20 0.4× 19 608

Countries citing papers authored by Ruby C. M. Chau

Since Specialization
Citations

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

Fields of papers citing papers by Ruby C. M. Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruby C. M. Chau

This figure shows the co-authorship network connecting the top 25 collaborators of Ruby C. M. Chau. A scholar is included among the top collaborators of Ruby C. M. Chau 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 Ruby C. M. Chau. Ruby C. M. Chau 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.
2.
Chau, Ruby C. M. & Sam W. K. Yu. (2023). Using a time conditions framework to explore the impact of government policies on the commodification of public goods and women’s defamilization risks. Public Money & Management. 44(4). 317–325. 1 indexed citations
3.
Chau, Ruby C. M. & Sam W. K. Yu. (2022). Women, Welfare and Productivism in East Asia and Europe. Policy Press eBooks. 4 indexed citations
4.
Yu, Sam W. K., et al.. (2021). Defamilisation/familisation measures and pensions in Hong Kong and Taiwan. Journal of Aging & Social Policy. 33(2). 161–176. 2 indexed citations
5.
Yu, Sam W. K., et al.. (2021). Rethinking the residual policy response: Lessons from Hong Kong older women’s responses to the COVID-19 pandemic. International Social Work. 66(2). 534–546. 4 indexed citations
6.
Yu, Sam W. K., et al.. (2021). Government strategies for supporting the adult worker model in European countries: mixed implications for defamilisation. International Journal of Sociology and Social Policy. 41(9/10). 979–992. 3 indexed citations
7.
Chau, Ruby C. M. & Sam W. K. Yu. (2019). Familization risks, defamilization risks and older women. Journal of Women & Aging. 33(3). 312–327. 7 indexed citations
8.
Yu, Sam W. K., et al.. (2017). An investigation of defamilization/familization measures to assist women to save pension income and strengthen the adult worker model—The case of Hong Kong. Asian Social Work and Policy Review. 11(3). 234–243. 2 indexed citations
9.
Chau, Ruby C. M., et al.. (2017). Defamilization/familization measures and women's pension income—The case of Taiwan. Asian Social Work and Policy Review. 11(2). 116–123. 2 indexed citations
10.
Chau, Ruby C. M., Liam Foster, & Sam W. K. Yu. (2016). Defamilisation and familisation measures: Can they reduce the adverse effects of pro-market pension reforms on women in Hong Kong and the UK?. Critical Social Policy. 36(2). 205–224. 13 indexed citations
11.
Yu, Sam W. K., et al.. (2014). Looking to the east and the west: the double-attachment strategy used by the Hong Kong government to develop welfare to work measures for lone parents. Australasian Journal of Paramedicine. 30(2). 93–106. 2 indexed citations
12.
Yu, Sam W. K. & Ruby C. M. Chau. (2011). Studying the Ethnocentric Bias in the Comparative Studies of Social Welfare. Development and Society. 40(2). 173–194. 3 indexed citations
13.
Chau, Ruby C. M. & Sam W. K. Yu. (2009). Social Quality and the Social Harmony Campaign in Hong Kong. HKBU Institutional Repository (Hong Kong Baptist University). 7 indexed citations
14.
Chau, Ruby C. M. & Sam W. K. Yu. (2009). Culturally sensitive approaches to health and social care. International Social Work. 52(6). 773–784. 14 indexed citations
15.
Chau, Ruby C. M., et al.. (2004). The Strategies Used by Chinese Managerial Women to Cope with Social Exclusion. Asian Women. 18. 101–122. 1 indexed citations
16.
Gerrish, Kate, et al.. (2004). Bridging the language barrier: the use of interpreters in primary care nursing. Health & Social Care in the Community. 12(5). 407–413. 125 indexed citations
17.
Chau, Ruby C. M., et al.. (2004). Managing social exclusion. International Social Work. 47(4). 503–513. 3 indexed citations
18.
Chau, Ruby C. M. & Sam W. K. Yu. (2002). Coping with Social Exclusion. Asian Women. 14. 103–127. 3 indexed citations
19.
Chau, Ruby C. M. & Sam W. K. Yu. (2001). Social exclusion of Chinese people in Britain. Critical Social Policy. 21(1). 103–125. 55 indexed citations
20.
Chau, Ruby C. M.. (2001). Making welfare subordinate to market activities: Reconstructing social security in Hong Kong and Mainland China. European Journal of Social Work. 4(3). 291–301. 5 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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