Kien Keat Ng
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism
- Public Health, Environmental and Occupational Health
- Epidemiology
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- Khalid YusoffNafiza Mat NasirAnis Safura RamliSuraya Abdul-RazakNor Ashikin Mohamed Noor KhanFarnaza AriffinAqil Mohammad DaherHapizah Nawawi
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Global Public Health Policies and Epidemiology (2 papers)Blood Pressure and Hypertension Studies (2 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Partner nations
- MalaysiaCanadaUnited Kingdom
In The Last Decade
Kien Keat Ng
7 papers receiving 240 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 93
- Endocrinology, Diabetes and Metabolism 72
- Public Health, Environmental and Occupational Health 49
- Epidemiology 48
- Organizational Behavior and Human Resource Management 46
Countries citing papers authored by Kien Keat Ng
This map shows the geographic impact of Kien Keat 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 Kien Keat Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kien Keat Ng more than expected).
Fields of papers citing papers by Kien Keat Ng
This network shows the impact of papers produced by Kien Keat 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 Kien Keat Ng. The network helps show where Kien Keat Ng may publish in the future.
Co-authorship network of co-authors of Kien Keat Ng
This figure shows the co-authorship network connecting the top 25 collaborators of Kien Keat Ng. A scholar is included among the top collaborators of Kien Keat Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kien Keat Ng. Kien Keat Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 75 | |
| 4 | 66 | |
| 5 | 62 | |
| 6 | Community-based cardiovascular Risk Factors Intervention Strategies (CORFIS) in managing hypertension: A pragmatic non-randomised controlled trial. | 15 |
| 7 | 9 |
About Kien Keat Ng
Kien Keat Ng is a scholar working on Health Information Management, Organizational Behavior and Human Resource Management and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 245 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Global Public Health Policies and Epidemiology (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (46 citations), Endocrinology, Diabetes and Metabolism (72 citations) and Cardiology and Cardiovascular Medicine (93 citations). Kien Keat Ng has collaborated with scholars based in Malaysia, Canada and United Kingdom. Frequent co-authors include Khalid Yusoff, Nafiza Mat Nasir, Anis Safura Ramli, Suraya Abdul-Razak, Nor Ashikin Mohamed Noor Khan, Farnaza Ariffin, Aqil Mohammad Daher, Hapizah Nawawi, Mazapuspavina Md Yasin and Ambigga Krishnapillai. Their work appears in journals such as BMC Public Health, BioMed Research International and BMC Health Services Research.
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.