Michael Chong
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
Papers in
- Genetics 33
- Genetic Associations and Epidemiology 32
- Co-authors
- Guillaume Paré (46 shared papers)Marie Pigeyre (16 shared papers)Pedrum Mohammadi‐Shemirani (12 shared papers)Hertzel C. Gerstein (10 shared papers)Ricky Lali (12 shared papers)Sukrit Narula (6 shared papers)Sébastien Thériault (6 shared papers)Jennifer Sjaarda (5 shared papers)
- Journals
- Stroke (5 papers)Journal of the American Society of Nephrology (5 papers)Nature Communications (4 papers)Journal of clinical lipidology (4 papers)Neurology (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Michael Chong
64 papers receiving 4.3k citations
Michael Chong's Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 1.7k
- Cardiology and Cardiovascular Medicine 548
- Hematology 287
- Neurology 283
- Epidemiology 504
Countries citing papers authored by Michael Chong
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
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.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes Hit paper breakdown → | 2018 | 1221 |
| 2 | Stroke genetics informs drug discovery and risk prediction across ancestries Hit paper breakdown → | 2022 | 372 |
| 3 | PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study Hit paper breakdown → | 2016 | 313 |
| 4 | 2015 | 222 | |
| 5 | 2020 | 135 | |
| 6 | 2018 | 133 | |
| 7 | 2019 | 131 | |
| 8 | 2017 | 125 | |
| 9 | 2019 | 124 | |
| 10 | 2018 | 122 | |
| 11 | Surrogate Adiposity Markers and Mortality Hit paper breakdown → | 2023 | 109 |
| 12 | 2017 | 96 | |
| 13 | 2019 | 89 | |
| 14 | 2022 | 88 | |
| 15 | 2022 | 87 | |
| 16 | 2022 | 80 | |
| 17 | 2018 | 77 | |
| 18 | 2021 | 68 | |
| 19 | 2018 | 47 | |
| 20 | 2019 | 47 |
About Michael Chong
Michael Chong is a scholar working on Genetics, Cardiology and Cardiovascular Medicine, Hematology, Nephrology and Epidemiology, having authored 72 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (32 papers), Chronic Kidney Disease and Diabetes (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Acute Ischemic Stroke Management (4 papers), Acute Myeloid Leukemia Research (3 papers), Mitochondrial Function and Pathology (3 papers), Platelet Disorders and Treatments (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Genetics (1.7k citations), Cardiology and Cardiovascular Medicine (548 citations), Hematology (287 citations), Neurology (283 citations) and Epidemiology (504 citations). Michael Chong has collaborated with scholars based in Canada, United States and United Kingdom. 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 Stroke, Journal of the American Society of Nephrology, Nature Communications, Journal of clinical lipidology and Neurology.
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.