Chin Meng Khoo
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- Diabetes, Cardiovascular Risks, and Lipoproteins 14
- Diet, Metabolism, and Disease 12
- Physiology top 2%
- Diet and metabolism studies 15
- Adipose Tissue and Metabolism 9
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 19
- Adipokines, Inflammation, and Metabolic Diseases 11
- Hepatology top 5%
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- Cardiovascular Disease and Adiposity 8
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- Metabolomics and Mass Spectrometry Studies 12
- Co-authors
- E Shyong TaiCheng Han NgYip Han ChinMark MuthiahRob M. van DamSu Chi LimMichael J. MuehlbauerChristopher B. Newgard
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Chin Meng Khoo
98 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Endocrinology, Diabetes and Metabolism 842
- Physiology 800
- Epidemiology 765
- Hepatology 137
- Cardiology and Cardiovascular Medicine 360
Countries citing papers authored by Chin Meng Khoo
This map shows the geographic impact of Chin Meng Khoo'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 Chin Meng Khoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin Meng Khoo more than expected).
Fields of papers citing papers by Chin Meng Khoo
This network shows the impact of papers produced by Chin Meng Khoo. 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 Chin Meng Khoo. The network helps show where Chin Meng Khoo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chin Meng Khoo, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 34 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 38 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 49 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 58 | |
| 13 | 2021 | 18 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 26 | |
| 16 | 2020 | 26 | |
| 17 | 2019 | 7 | |
| 18 | 2018 | 46 | |
| 19 | 2010 | 383 | |
| 20 | 2009 | 55 |
About Chin Meng Khoo
Chin Meng Khoo is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology, having authored 107 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (19 papers), Diet and metabolism studies (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Diet, Metabolism, and Disease (12 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (9 papers) and Cardiovascular Disease and Adiposity (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (842 citations), Physiology (800 citations) and Epidemiology (765 citations). Chin Meng Khoo has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include E Shyong Tai, Cheng Han Ng, Yip Han Chin, Mark Muthiah, Rob M. van Dam, Su Chi Lim, Michael J. Muehlbauer, Christopher B. Newgard, Nicholas Chew and James R. Bain. Their work appears in journals such as Nutrients, Endocrine Practice, Obesity, The Journal of Clinical Endocrinology & Metabolism 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.