Miao-Ling Chee
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic and Kidney Cyst Diseases
Papers in
-
- Chronic Kidney Disease and Diabetes 4
- Renal Diseases and Glomerulopathies 1
- Genetics 5
- Genetic Associations and Epidemiology 5
- Co-authors
- Tien Yin Wong (2 shared papers)Kumari Neelam (2 shared papers)Shivani Majithia (2 shared papers)Yih Chung Tham (2 shared papers)Ecosse Luc Lamoureux (2 shared papers)Charumathi Sabanayagam (2 shared papers)Miao-Li Chee (1 shared paper)Sahil Thakur (1 shared paper)
- Journals
- Kidney International (2 papers)Communications Biology (1 paper)Nature Communications (1 paper)International Journal of Epidemiology (1 paper)British Journal of Ophthalmology (1 paper)
- Partner nations
- SingaporeGermanyNetherlands
In The Last Decade
Miao-Ling Chee
7 papers receiving 1k citations
Miao-Ling Chee's Hit Papers
Peers
Comparison fields: 5 of 69
- Nephrology 411
- Genetics 492
- Ophthalmology 46
- Cardiology and Cardiovascular Medicine 72
- Transplantation 9
Countries citing papers authored by Miao-Ling Chee
This map shows the geographic impact of Miao-Ling Chee'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 Miao-Ling Chee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao-Ling Chee more than expected).
Fields of papers citing papers by Miao-Ling Chee
This network shows the impact of papers produced by Miao-Ling Chee. 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 Miao-Ling Chee. The network helps show where Miao-Ling Chee may publish in the future.
Co-authors
The 12 scholars most cited alongside Miao-Ling Chee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A catalog of genetic loci associated with kidney function from analyses of a million individuals Hit paper breakdown → | 2019 | 617 |
| 2 | 2019 | 162 | |
| 3 | 2020 | 79 | |
| 4 | 2020 | 72 | |
| 5 | 2022 | 40 | |
| 6 | 2019 | 26 | |
| 7 | 2022 | 25 |
About Miao-Ling Chee
Miao-Ling Chee is a scholar working on Nephrology, Genetics, Ophthalmology, Epidemiology and Nuclear Energy and Engineering, having authored 7 papers that have together received 1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Ophthalmology and Visual Impairment Studies (2 papers), Glaucoma and retinal disorders (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Nephrology (411 citations), Genetics (492 citations), Ophthalmology (46 citations), Cardiology and Cardiovascular Medicine (72 citations) and Transplantation (9 citations). Miao-Ling Chee has collaborated with scholars based in Singapore, Germany and Netherlands. Frequent co-authors include Tien Yin Wong, Kumari Neelam, Shivani Majithia, Yih Chung Tham, Ecosse Luc Lamoureux, Charumathi Sabanayagam, Miao-Li Chee, Sahil Thakur, Ching‐Yu Cheng and Simon Nusinovici. Their work appears in journals such as Kidney International, Communications Biology, Nature Communications, International Journal of Epidemiology and British Journal of Ophthalmology.
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.