Chee Eng Tan

2.0k citations
25 papers · 1.4k · h-index 19

Impact in

Papers in

Chee Eng Tan

25 papers receiving 1.3k citations

Peers

Chee Eng Tan
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 524
  • Cardiology and Cardiovascular Medicine 308
  • Physiology 315
  • Biochemistry 78
  • Epidemiology 291
Replace Shinji Tamaki with:
Shinji Tamaki Japan
Pauli Karhapää Finland
Ana Megía Spain
Steven J. Hurel United Kingdom
Masayasu Yoneda Japan
Riadh Jemaa Tunisia
Yii‐Der Ida Chen United States
Albert Hofman Netherlands
Maryam S. Daneshpour Iran
Chee Eng Tan relative to Shinji Tamaki Japan Shinji Tamaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chee Eng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chee Eng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Eng Tan. 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 Chee Eng Tan. The network helps show where Chee Eng Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Chee Eng Tan, 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 Chee Eng Tan Line = papers co-authored together Chee Eng Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metabolic syndrome: recent prevalence in East and Southeast Asian populations.
2007186
2 2014126
3 2003122
4 2005119
5 2004100
6 200386
7 200880
8 200473
9 200472
10 200661
11 200554
12 200354
13 201834
14 200633
15 200431
16 200327
17 201727
18 200426
19 200320
20 200114

About Chee Eng Tan

Chee Eng Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology, Public Health, Environmental and Occupational Health and Surgery, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Lipoproteins and Cardiovascular Health (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diet, Metabolism, and Disease (2 papers), Health Promotion and Cardiovascular Prevention (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (524 citations), Cardiology and Cardiovascular Medicine (308 citations), Physiology (315 citations), Biochemistry (78 citations) and Epidemiology (291 citations). Chee Eng Tan has collaborated with scholars based in Singapore, United States and Spain. Frequent co-authors include E Shyong Tai, Suok Kai Chew, José M. Ordovás, Lip Ping Low, Dolores Corella, Jeffery Cutter, Mabel Deurenberg‐Yap, Derrick Heng, Kee Seng Chia and Xian Adiconis. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Diabetes Care, Journal of Hypertension and Clinical Microbiology and Infection.

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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