Michael Chong

8.3k citations
53 papers · 1.4k · h-index 20

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 5
    • Genetic Associations and Epidemiology 8

Michael Chong

51 papers receiving 1.4k citations

Peers

Michael Chong
Comparison fields: 5 of 107
  • Cardiology and Cardiovascular Medicine 309
  • Hematology 92
  • Genetics 175
  • Neurology 86
  • Endocrinology, Diabetes and Metabolism 89
Replace Michael Koziolek with:
Michael Koziolek Germany
Elena Sticchi Italy
Solveig Wållberg‐Jonsson Sweden
Marcin Gruchała Poland
Theodoros Dimitroulas Greece
Susumu Ookawara Japan
René Alvarez United States
Antonino Cavallaro Italy
Pál Soltész Hungary
John Rogus United States
Michael Chong relative to Michael Koziolek Germany Michael Koziolek's profile →
Citations per field
00.5×3.7×
Michael Koziolek · 1×
Citations per year

Countries citing papers authored by Michael Chong

Since Specialization
Citations

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

Fields of papers citing papers by Michael Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020116
2 2017112
3 2019112
4 201786
5 202386
6 202275
7 201871
8 202269
9 202265
10
Aortic valve mechanics--Part I: material properties of natural porcine aortic valves.
197854
11 201240
12 202036
13 201834
14 201834
15 202033
16 202024
17 202124
18 202123
19 202221
20 197821

About Michael Chong

Michael Chong is a scholar working on Surgery, Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Lipoproteins and Cardiovascular Health (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Cardiovascular Function and Risk Factors (3 papers), Moyamoya disease diagnosis and treatment (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Elasticity and Material Modeling (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (309 citations), Hematology (92 citations), Genetics (175 citations), Neurology (86 citations) and Endocrinology, Diabetes and Metabolism (89 citations). Michael Chong has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Guillaume Paré, Marie Pigeyre, Pedrum Mohammadi‐Shemirani, Hertzel C. Gerstein, Ricky Lali, Sukrit Narula, Sébastien Thériault, Jennifer Sjaarda, Salim Yusuf and Robert W. Morton. Their work appears in journals such as Journal of clinical lipidology, Stroke, JAMA Network Open, Journal of the American Society of Nephrology and Diabetes Care.

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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