Pui Hing Chau

165 papers receiving 3.3k citations

Peers

Pui Hing Chau
Comparison fields: 5 of 159
  • Applied Microbiology and Biotechnology 64
  • Clinical Psychology 622
  • Health 210
  • Geriatrics and Gerontology 65
  • Health, Toxicology and Mutagenesis 273
Replace Haomiao Jia with:
Haomiao Jia United States
Shiyi Cao China
Mona Kanaan United Kingdom
Chung-Chou H. Chang United States
Shiva Raj Mishra Nepal
Pilar Carrasco‐Garrido Spain
Sharon Sanders Australia
Kourosh Sayehmiri Iran
Craig M. Hales United States
Susan J. Bondy Canada
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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-authors

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

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008285
2 2010269
3 2018141
4 202184
5 200982
6 201180
7 199478
8 202175
9 201572
10 201269
11 201256
12 201555
13 202252
14 202252
15 200948
16 201848
17 202048
18 201047
19 201446
20 201742

About Pui Hing Chau

Pui Hing Chau is a scholar working on General Health Professions, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Health, Toxicology and Mutagenesis, having authored 183 papers that have together received 3.4k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (13 papers), Health disparities and outcomes (9 papers), Global Health Care Issues (8 papers), Antibiotic Use and Resistance (8 papers), Balance, Gait, and Falls Prevention (7 papers), Antibiotic Resistance in Bacteria (6 papers), Dementia and Cognitive Impairment Research (6 papers) and HIV/AIDS Research and Interventions (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (64 citations), Clinical Psychology (622 citations), Health (210 citations), Geriatrics and Gerontology (65 citations) and Health, Toxicology and Mutagenesis (273 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, Mandy Ho, Yik Wa Law, Angela Yee Man Leung, Kwok‐Yung Yuen, Dyt Fong, Zi Chen and Edmond Pui Hang Choi. Their work appears in journals such as Age and Ageing, Journal of the American Medical Directors Association, International Journal of Environmental Research and Public Health, BMJ Open and PLoS ONE.

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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