Rita W. Y. Ng

3.5k citations
40 papers · 1.4k indexed · 1 hit paper · h-index 17

Rita W. Y. Ng

38 papers receiving 1.4k citations

Hit Papers

Acceptance of the COVID-19 vaccine based on the health be...3762021202620222024100200300

Peers

Rita W. Y. Ng
Comparison fields: 5 of 156
  • Neuropsychology and Physiological Psychology 80
  • Health 345
  • Modeling and Simulation 168
  • Infectious Diseases 369
  • Clinical Biochemistry 58
Replace Susan Lee with:
Susan Lee United States
Jiyun Kim South Korea
Andrew M. Campbell United States
Hyunjung Lee United States
Jeffrey Kahn United States
Min Qin China
Guangyu Zhou China
Nidaa A. Ababneh Jordan
Kathryn Senior Australia
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Rita W. Y. Ng relative to Susan Lee United States Susan Lee's profile →
Citations per field
00.5×10×16.8×
Susan Lee · 1×
Citations per year

Countries citing papers authored by Rita W. Y. Ng

Since Specialization
Citations

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

Fields of papers citing papers by Rita W. Y. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita W. Y. Ng. 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 Rita W. Y. Ng. The network helps show where Rita W. Y. Ng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20242
4 20240
5 20239
6 20232
7 20232
8 20211
9 202112
10 202180
11 202112
12
Acceptance of the COVID-19 vaccine based on the health belief model: A population-based survey in Hong Kongbreakdown →
2021376
13 20218
14 202066
15 201526
16 201340
17 200198
18 200192
19 200198
20 199583

About Rita W. Y. Ng

Rita W. Y. Ng is a scholar working on Neuropsychology and Physiological Psychology, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (6 papers), Gut microbiota and health (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers), COVID-19 epidemiological studies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Mycobacterium research and diagnosis (3 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (80 citations), Health (345 citations) and Modeling and Simulation (168 citations). Rita W. Y. Ng has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Christopher K.C. Lai, Paul K.S. Chan, Helene H. Fung, Martin C. S. Wong, Junjie Huang, Zigui Chen, John Carbon, Siaw Shi Boon, Ka Chun Chong and Eliza Lai‐Yi Wong. Their work appears in journals such as JAMA Network Open, Microbiology Spectrum, Journal of Infection, Psychology and Aging and Scientific Reports.

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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