Bryan Chong

19.8k citations
44 papers · 444 · h-index 12

Impact in

Papers in

Bryan Chong

40 papers receiving 439 citations

Peers

Bryan Chong
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 109
  • Endocrinology, Diabetes and Metabolism 76
  • Hepatology 18
  • Epidemiology 74
  • Management Science and Operations Research 22
Replace P. Roebruck with:
P. Roebruck Germany
Rogier Caluwé Belgium
Senthil Nachimuthu United States
Xinhua Ye China
Priscila A. Maranhão Brazil
Philip Foulis United States
Jincheng Liu China
T. Thura United States
Jacek Jerzy Jozwiak Poland
Zhanying Han China
Bryan Chong relative to P. Roebruck Germany P. Roebruck's profile →
Citations per field
00.5×10×20×31.5×
P. Roebruck · 1×
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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202262
2 201942
3 202341
4 202440
5 202230
6 202325
7 202421
8 202319
9 201818
10 202217
11 202315
12 202412
13 202311
14 202210
15 20249
16 20248
17 20237
18 20227
19 20255
20 20225

About Bryan Chong

Bryan Chong is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 444 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Cardiovascular Disease and Adiposity (6 papers), Diet, Metabolism, and Disease (4 papers), Cardiovascular Function and Risk Factors (4 papers), Cardiac Health and Mental Health (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Global Public Health Policies and Epidemiology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (109 citations), Endocrinology, Diabetes and Metabolism (76 citations), Hepatology (18 citations), Epidemiology (74 citations) and Management Science and Operations Research (22 citations). Bryan Chong has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Nicholas Chew, Yip Han Chin, Gwyneth Kong, Mark Muthiah, Mark Y. Chan, Roger Foo, Cheng Han Ng, Chin Meng Khoo, Georgios K. Dimitriadis and Rachel Sze Jen Goh. Their work appears in journals such as European Heart Journal, Journal of the American College of Cardiology, Circulation Cardiovascular Imaging, Obesity and Cardiovascular Diabetology.

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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