Ruby C. M. Chau

44 papers receiving 489 citations

Peers

Ruby C. M. Chau
Comparison fields: 5 of 64
  • Public Administration 56
  • General Health Professions 217
  • Political Science and International Relations 185
  • Clinical Psychology 110
  • Finance 54
Replace Sam W. K. Yu with:
Sam W. K. Yu Hong Kong
Albert Banerjee Canada
Isabel Shutes United Kingdom
Marie Drolet Canada
Sadie Parr United Kingdom
Kirsi Juhila Finland
Martha Doyle Ireland
Allan Borowski Australia
John Pitts United Kingdom
Mia Vabø Norway
Ruby C. M. Chau relative to Sam W. K. Yu Hong Kong Sam W. K. Yu's profile →
Citations per field
00.5×1.5×1.8×
Sam W. K. Yu · 1×
Citations per year

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-authors

The 11 scholars most cited alongside Ruby C. M. Chau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruby C. M. Chau Line = papers co-authored together Ruby C. M. Chau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004131
2 200160
3 200542
4 201232
5 199730
6 201528
7 200521
8 200918
9 200914
10 201614
11 201712
12 201010
13 20119
14 20039
15 20197
16 20177
17 20016
18 19986
19 20175
20 20225

About Ruby C. M. Chau

Ruby C. M. Chau is a scholar working on Political Science and International Relations, General Health Professions, Sociology and Political Science, Finance and Clinical Psychology, having authored 48 papers that have together received 531 indexed citations. Recurring topics across this work include Social Policy and Reform Studies (31 papers), Employment and Welfare Studies (20 papers), Housing, Finance, and Neoliberalism (11 papers), Migration, Health and Trauma (8 papers), Labor Movements and Unions (7 papers), Retirement, Disability, and Employment (6 papers), Cultural Competency in Health Care (5 papers) and Intergenerational Family Dynamics and Caregiving (5 papers). The work is most often cited by research in Public Administration (56 citations), General Health Professions (217 citations), Political Science and International Relations (185 citations), Clinical Psychology (110 citations) and Finance (54 citations). Ruby C. M. Chau has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Sam W. K. Yu, Kate Gerrish, Liam Foster, Kim-ming Lee, Margaret Holloway, Sheila Payne, Jane Seymour, Maggie Lau, Kathy Boxall and Lorna Warren. Their work appears in journals such as International Social Work, International Journal of Sociology and Social Policy, Critical Social Policy, Social Policy and Society and Journal of Women & Aging.

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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