Ken Lee Chin
- Geriatrics and Gerontology top 0.5%
- Physiology top 5%
- Economics and Econometrics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Danny LiewRichard Ofori‐AsensoElla ZomerAkosua Adom AgyemanCornelia B. LandersdorferZanfina AdemiMohsen MazidiSophia Zoungas
- Topics
- Health Systems, Economic Evaluations, Quality of Life (7 papers)Heart Failure Treatment and Management (7 papers)Diabetes Treatment and Management (7 papers)
- Partner nations
- AustraliaDenmarkUnited Kingdom
In The Last Decade
Ken Lee Chin
40 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Geriatrics and Gerontology 419
- Physiology 368
- Economics and Econometrics 246
- Cardiology and Cardiovascular Medicine 219
- Public Health, Environmental and Occupational Health 190
Countries citing papers authored by Ken Lee Chin
This map shows the geographic impact of Ken Lee Chin'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 Ken Lee Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Lee Chin more than expected).
Fields of papers citing papers by Ken Lee Chin
This network shows the impact of papers produced by Ken Lee Chin. 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 Ken Lee Chin. The network helps show where Ken Lee Chin may publish in the future.
Co-authorship network of co-authors of Ken Lee Chin
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Lee Chin. A scholar is included among the top collaborators of Ken Lee Chin 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 Ken Lee Chin. Ken Lee Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 182 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 26 | |
| 9 | 4 | |
| 10 | 16 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | 27 | |
| 14 | 10 | |
| 15 | 129 | |
| 16 | 5 | |
| 17 | 45 | |
| 18 | 37 | |
| 19 | 9 | |
| 20 | 24 |
About Ken Lee Chin
Ken Lee Chin is a scholar working on Family Practice, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (7 papers), Heart Failure Treatment and Management (7 papers) and Diabetes Treatment and Management (7 papers). The work is most often cited by research in Geriatrics and Gerontology (419 citations), Sensory Systems (172 citations) and Obstetrics and Gynecology (184 citations). Ken Lee Chin has collaborated with scholars based in Australia, Denmark and United Kingdom. Frequent co-authors include Danny Liew, Richard Ofori‐Asenso, Ella Zomer, Akosua Adom Agyeman, Cornelia B. Landersdorfer, Zanfina Ademi, Mohsen Mazidi, Sophia Zoungas, Jenni Ilomäki and J. Simon Bell. Their work appears in journals such as PLoS ONE, Scientific Reports and Cochrane Database of Systematic Reviews.
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.