Michael Chong

8.5k citations
53 papers · 1.3k indexed · 1 hit paper · h-index 20

Impact in

Papers in

    • Genetic Associations and Epidemiology 16
    • Renal Diseases and Glomerulopathies 3

Michael Chong

49 papers receiving 1.3k citations

Hit Papers

Surrogate Adiposity Markers and Mortality 2023 · 74 citations
742023202620242025204060

Peers

Michael Chong
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 368
  • Genetics 245
  • Hematology 93
  • Cancer Research 114
  • Endocrinology, Diabetes and Metabolism 118
Replace Elena Sticchi with:
Elena Sticchi Italy
Marcin Gruchała Poland
Hiroki Matsui Japan
C. A. Richardson United States
Michael Koziolek Germany
René Alvarez United States
John Rogus United States
Martin Weger Austria
Daniel I. Swerdlow United Kingdom
Michelle Harrison Australia
Michael Chong relative to Elena Sticchi Italy Elena Sticchi's profile →
Citations per field
00.5×4.5×
Elena Sticchi · 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 2020113
2 2017107
3 2019105
4 201785
5
Surrogate Adiposity Markers and Mortality
Hit paper breakdown →
202374
6 202271
7 201869
8 202263
9 202261
10
Aortic valve mechanics--Part I: material properties of natural porcine aortic valves.
197850
11 201237
12 201834
13 202034
14 201832
15 202032
16 202123
17 202023
18 202123
19 202220
20 197819

About Michael Chong

Michael Chong is a scholar working on Genetics, Nephrology, Cardiology and Cardiovascular Medicine, Surgery and Neurology, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Lipoproteins and Cardiovascular Health (9 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Renal Diseases and Glomerulopathies (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cerebrovascular and genetic disorders (3 papers), Mitochondrial Function and Pathology (3 papers) and Moyamoya disease diagnosis and treatment (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (368 citations), Genetics (245 citations), Hematology (93 citations), Cancer Research (114 citations) and Endocrinology, Diabetes and Metabolism (118 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, Sébastien Thériault, Sukrit Narula, Jennifer Sjaarda, Salim Yusuf and Robert W. Morton. Their work appears in journals such as Journal of clinical lipidology, Stroke, JAMA Network Open, Nature Communications 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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