Kin Cheung

69 papers receiving 1.3k citations

Peers

Kin Cheung
Comparison fields: 5 of 133
  • Research and Theory 110
  • Leadership and Management 63
  • Medical Laboratory Technology 76
  • Radiological and Ultrasound Technology 120
  • General Health Professions 424
Replace Michela Piredda with:
Michela Piredda Italy
Patricia Potter United States
Maria Grazia De Marinis Italy
Huey‐Ming Tzeng United States
Masoud Fallahi‐Khoshknab Iran
Gail Powell‐Cope United States
Akram Ghahramanian Iran
Daniela Tartaglini Italy
Linda D. Scott United States
Carolyn Feher Waltz United States
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Citations per year

Countries citing papers authored by Kin Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Kin Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kin Cheung. 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 Kin Cheung. The network helps show where Kin Cheung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019121
2 2020117
3 2012104
4 201680
5 200658
6 200551
7 201149
8 201543
9 201241
10 201940
11 200539
12 201938
13 202037
14 202035
15 201835
16 200832
17 201031
18 202030
19 202126
20 201022

About Kin Cheung

Kin Cheung is a scholar working on General Health Professions, Education, Clinical Psychology, Pharmacology and Public Health, Environmental and Occupational Health, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (10 papers), Higher Education Research Studies (8 papers), Workplace Health and Well-being (7 papers), Healthcare professionals’ stress and burnout (6 papers), Ergonomics and Musculoskeletal Disorders (6 papers), Nursing education and management (6 papers), Infection Control in Healthcare (5 papers) and Occupational health in dentistry (5 papers). The work is most often cited by research in Research and Theory (110 citations), Leadership and Management (63 citations), Medical Laboratory Technology (76 citations), Radiological and Ultrasound Technology (120 citations) and General Health Professions (424 citations). Kin Cheung has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Shirley Siu Yin Ching, Desley Hegney, Clare S. Rees, Hilda Tsang, Samantha Pang, Eliza Mi Ling Wong, Hon Lon Tam, Samantha Mei‐che Pang, Katherine Chang and Grace Szeto. Their work appears in journals such as International Journal of Environmental Research and Public Health, Sustainability, Frontiers in Psychology, Journal of Nursing Management 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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