Bryan Chong

16.7k citations
43 papers · 385 · h-index 12

Impact in

Papers in

Bryan Chong

39 papers receiving 381 citations

Peers

Bryan Chong
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 161
  • Endocrinology, Diabetes and Metabolism 89
  • Hepatology 25
  • Epidemiology 88
  • Geriatrics and Gerontology 9
Replace Joanne Simpson with:
Joanne Simpson United Kingdom
Senthil Nachimuthu United States
Xinhua Ye China
Masafumi Tatsukawa Japan
Naoyasu Maeda Japan
Zhiquan Wang China
Yiting He China
P. Roebruck Germany
Kevin Ka‐Ho Kam Hong Kong
Pedro L. Tornel Spain
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Citations per field
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Citations per year

Countries citing papers authored by Bryan Chong

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Chong. 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 Bryan Chong. The network helps show where Bryan Chong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202253
2 201942
3 202338
4 202434
5 202228
6 202323
7 201817
8 202216
9 202315
10 202414
11 202313
12 202311
13 202210
14 20227
15 20247
16 20236
17 20246
18 20246
19 20225
20 20244

About Bryan Chong

Bryan Chong is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Epidemiology, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 43 papers that have together received 385 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (8 papers), Cardiovascular Function and Risk Factors (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Diet, Metabolism, and Disease (5 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiac Health and Mental Health (4 papers), Global Public Health Policies and Epidemiology (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (161 citations), Endocrinology, Diabetes and Metabolism (89 citations), Hepatology (25 citations), Epidemiology (88 citations) and Geriatrics and Gerontology (9 citations). Bryan Chong has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Nicholas Chew, Gwyneth Kong, Yip Han Chin, Mark Muthiah, Mark Y. Chan, Roger Foo, Cheng Han Ng, Chin Meng Khoo, Georgios K. Dimitriadis and Poay Huan Loh. Their work appears in journals such as European Heart Journal, Journal of the American College of Cardiology, Circulation Cardiovascular Imaging, Journal of the American Heart Association and Obesity.

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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