Pui Hing Chau

172 papers receiving 4.9k citations

Hit Papers

Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong 2003 · 682 citations
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Peers

Pui Hing Chau
Comparison fields: 5 of 177
  • Modeling and Simulation 1.1k
  • Infectious Diseases 1.3k
  • Health 417
  • Geriatrics and Gerontology 189
  • Clinical Psychology 947
Replace Silvio Brusaferro with:
Silvio Brusaferro Italy
Stefan Gravenstein United States
Rafael Mikolajczyk Germany
Laura C. Rosella Canada
Preeti Malani United States
Nancy A. Chow United States
Ran D. Balicer Israel
Ly‐Mee Yu United Kingdom
Anna Odone Italy
Lamberto Manzoli Italy
Pui Hing Chau relative to Silvio Brusaferro Italy Silvio Brusaferro's profile →
Citations per field
00.5×1.5×2.5×
Silvio Brusaferro · 1×
Citations per year

Countries citing papers authored by Pui Hing Chau

Since Specialization
Citations

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

Fields of papers citing papers by Pui Hing Chau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pui Hing 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 Pui Hing Chau. The network helps show where Pui Hing Chau may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Pui Hing 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 Pui Hing Chau Line = papers co-authored together Pui Hing Chau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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16 202012
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18 202010
19 202017
20 201511

About Pui Hing Chau

Pui Hing Chau is a scholar working on Applied Microbiology and Biotechnology, Geriatrics and Gerontology, Health, Modeling and Simulation and Physical Therapy, Sports Therapy and Rehabilitation, having authored 189 papers that have together received 5.1k indexed citations. Recurring topics across this work include Health disparities and outcomes (20 papers), Climate Change and Health Impacts (15 papers), Frailty in Older Adults (14 papers), Global Health Care Issues (12 papers), COVID-19 and Mental Health (11 papers), Intergenerational Family Dynamics and Caregiving (11 papers), Dementia and Cognitive Impairment Research (11 papers) and Chronic Disease Management Strategies (10 papers). The work is most often cited by research in Modeling and Simulation (1.1k citations), Infectious Diseases (1.3k citations), Health (417 citations), Geriatrics and Gerontology (189 citations) and Clinical Psychology (947 citations). Pui Hing Chau has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Paul S. F. Yip, Jean Woo, Yee Tak Derek Cheung, TH Lam, Steven Riley, Azra C. Ghani, Neil M. Ferguson, Thomas Tsang, Christophe Fraser and GM Leung. Their work appears in journals such as Journal of the American Medical Directors Association, International Journal of Environmental Research and Public Health, Age and Ageing, The journal of nutrition health & aging and American Journal of Infection Control.

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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