Michael Chong

8.5k total citations · 1 hit paper
53 papers, 1.3k citations indexed

About

Michael Chong is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Michael Chong has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 18 papers in Surgery and 13 papers in Molecular Biology. Recurrent topics in Michael Chong's work include Genetic Associations and Epidemiology (16 papers), Lipoproteins and Cardiovascular Health (9 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Michael Chong is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), Lipoproteins and Cardiovascular Health (9 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Michael Chong collaborates with scholars based in Canada, Germany and United States. Michael Chong's 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 and has published in prestigious journals such as The Lancet, Circulation and Nature Communications.

In The Last Decade

Michael Chong

49 papers receiving 1.3k citations

Hit Papers

Surrogate Adiposity Markers and Mortality 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Chong Canada 20 368 292 271 245 135 53 1.3k
Elena Sticchi Italy 21 589 1.6× 278 1.0× 219 0.8× 228 0.9× 155 1.1× 80 1.4k
René Alvarez United States 16 524 1.4× 355 1.2× 518 1.9× 103 0.4× 150 1.1× 63 1.7k
Seyedeh M. Zekavat United States 16 371 1.0× 159 0.5× 353 1.3× 400 1.6× 106 0.8× 27 1.6k
Marcin Gruchała Poland 20 750 2.0× 492 1.7× 728 2.7× 227 0.9× 113 0.8× 153 2.0k
Michael Koziolek Germany 23 370 1.0× 290 1.0× 261 1.0× 73 0.3× 92 0.7× 74 1.6k
Yuichiro Arima Japan 22 716 1.9× 320 1.1× 537 2.0× 86 0.4× 115 0.9× 118 1.9k
Michael Fritzenwanger Germany 24 579 1.6× 529 1.8× 265 1.0× 80 0.3× 260 1.9× 73 1.6k
Hiroki Matsui Japan 25 338 0.9× 200 0.7× 771 2.8× 130 0.5× 221 1.6× 96 1.9k
Solveig Wållberg‐Jonsson Sweden 24 586 1.6× 250 0.9× 250 0.9× 79 0.3× 209 1.5× 50 2.5k
John Rogus United States 25 292 0.8× 365 1.3× 357 1.3× 445 1.8× 233 1.7× 42 1.9k

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-authorship network of co-authors of Michael Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Chong. A scholar is included among the top collaborators of Michael Chong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Chong. Michael Chong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Perrot, Nicolas, Yu Huang, Michael Chong, et al.. (2025). Mendelian randomization study implicates inflammaging biomarkers in retinal vasculature, cardiovascular diseases, and longevity. Science Advances. 11(43). eadu1985–eadu1985.
2.
Spence, Jessica, P.J. Devereaux, Shaheena Bashir, et al.. (2025). Protein Alterations in Patients with Delirium after Cardiac Surgery: An Exploratory Case–Control Substudy of the VISION Cardiac Surgery Biobank. Anesthesiology. 142(4). 716–725.
3.
Wu, Jianhan, Caitlyn Vlasschaert, Ricky Lali, et al.. (2024). Kidney Volume and Risk of Incident Kidney Outcomes. Journal of the American Society of Nephrology. 35(9). 1240–1251. 3 indexed citations
5.
Bouchard‐Fortier, Antoine, et al.. (2024). Implementation of a Multidisciplinary Enhanced Recovery After Surgery (ERAS) Program for Cytoreductive Surgery (CRS) With Hyperthermic Intraperitoneal Chemotherapy (HIPEC). Journal of Surgical Oncology. 131(3). 527–534. 1 indexed citations
6.
Deng, Wei Q., Mohammad Daud Khan, Shihong Mao, et al.. (2024). A method to estimate the contribution of rare coding variants to complex trait heritability. Nature Communications. 15(1). 1245–1245. 5 indexed citations
7.
Paré, Guillaume, et al.. (2024). Genetic Determinants of Vascular Dementia. Canadian Journal of Cardiology. 40(8). 1412–1423. 7 indexed citations
8.
Khan, Mohammad Daud, Shihong Mao, Michael Chong, et al.. (2023). A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets. Nature Communications. 14(1). 5196–5196. 8 indexed citations
9.
Lanktree, Matthew B., Nicolas Perrot, Andrew Smyth, et al.. (2023). A novel multi-ancestry proteome-wide Mendelian randomization study implicates extracellular proteins, tubular cells, and fibroblasts in estimated glomerular filtration rate regulation. Kidney International. 104(6). 1170–1184. 12 indexed citations
11.
Chong, Michael, Pedrum Mohammadi‐Shemirani, Robert W. Morton, et al.. (2023). Surrogate Adiposity Markers and Mortality. JAMA Network Open. 6(9). e2334836–e2334836. 74 indexed citations breakdown →
12.
Vlasschaert, Caitlyn, Amy J. M. McNaughton, Michael Chong, et al.. (2022). Association of Clonal Hematopoiesis of Indeterminate Potential with Worse Kidney Function and Anemia in Two Cohorts of Patients with Advanced Chronic Kidney Disease. Journal of the American Society of Nephrology. 33(5). 985–995. 61 indexed citations
13.
Mohammadi‐Shemirani, Pedrum, Michael Chong, Sukrit Narula, et al.. (2022). Elevated Lipoprotein(a) and Risk of Atrial Fibrillation. Journal of the American College of Cardiology. 79(16). 1579–1590. 63 indexed citations
14.
Chong, Michael, Pedrum Mohammadi‐Shemirani, Nicolas Perrot, et al.. (2022). GWAS and ExWAS of blood mitochondrial DNA copy number identifies 71 loci and highlights a potential causal role in dementia. eLife. 11. 71 indexed citations
15.
Narula, Sukrit, Salim Yusuf, Michael Chong, et al.. (2020). Plasma ACE2 and risk of death or cardiometabolic diseases: a case-cohort analysis. The Lancet. 396(10256). 968–976. 113 indexed citations
16.
Sjaarda, Jennifer, Hertzel C. Gerstein, Michael Chong, et al.. (2018). Blood CSF1 and CXCL12 as Causal Mediators of Coronary Artery Disease. Journal of the American College of Cardiology. 72(3). 300–310. 69 indexed citations
17.
Thériault, Sébastien, Andrew Don-Wauchope, Michael Chong, et al.. (2016). Frameshift mutation in the APOA5 gene causing hypertriglyceridemia in a Pakistani family: Management and considerations for cardiovascular risk. Journal of clinical lipidology. 10(5). 1272–1277. 6 indexed citations
18.
Chong, Michael, et al.. (2012). Genetic Markers of Inflammation and Their Role in Cardiovascular Disease. Canadian Journal of Cardiology. 29(1). 67–74. 37 indexed citations
19.
Dobson, Gary, Michael Chong, Michelle Walker, et al.. (2007). Characterization of the Upper Limb Arterial Properties during Reactive Hyperemia. PubMed. 7(3). 127–134. 6 indexed citations
20.
Chong, Michael, et al.. (1978). Aortic valve mechanics--Part I: material properties of natural porcine aortic valves.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2(3-4). 287–300. 50 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026