Mark Y. Chan

12.6k total citations · 4 hit papers
347 papers, 6.0k citations indexed

About

Mark Y. Chan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mark Y. Chan has authored 347 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 197 papers in Cardiology and Cardiovascular Medicine, 90 papers in Surgery and 52 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mark Y. Chan's work include Acute Myocardial Infarction Research (79 papers), Cardiac Imaging and Diagnostics (51 papers) and Antiplatelet Therapy and Cardiovascular Diseases (45 papers). Mark Y. Chan is often cited by papers focused on Acute Myocardial Infarction Research (79 papers), Cardiac Imaging and Diagnostics (51 papers) and Antiplatelet Therapy and Cardiovascular Diseases (45 papers). Mark Y. Chan collaborates with scholars based in Singapore, United Kingdom and United States. Mark Y. Chan's co-authors include Wee Shiong Lim, Ching‐Hui Sia, Chi‐Hang Lee, Huay Cheem Tan, Irene M. Y. Woon, Atreyi Kankanhalli, Nicholas Chew, Adrian F. Low, Richard C. Becker and Jamie Sin Ying Ho and has published in prestigious journals such as Circulation, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Mark Y. Chan

326 papers receiving 5.8k citations

Hit Papers

Global Prevalence and Clinical Characteristics of Metabol... 2021 2026 2022 2024 2022 2021 2022 2025 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Global Prevalence and Clinical Characteristics of Metabolic-associated Fatty Liver Disease: A Meta-Analysis and Systematic Review of 10 739 607 Individuals
    2022 184 citations Kai En Chan, Ansel Shao Pin Tang et al. profile →
  2. An Observational Data Meta-analysis on the Differences in Prevalence and Risk Factors Between MAFLD vs NAFLD
    2021 166 citations Ansel Shao Pin Tang, Cheng Han Ng et al. profile →
  3. Current and novel biomarkers of thrombotic risk in COVID-19: a Consensus Statement from the International COVID-19 Thrombosis Biomarkers Colloquium
    2022 163 citations Mark Y. Chan et al. profile →
  4. Efficacy of GLP-1 Receptor Agonists on Weight Loss, BMI, and Waist Circumference for Patients With Obesity or Overweight: A Systematic Review, Meta-analysis, and Meta-regression of 47 Randomized Controlled Trials
    2025 39 citations Yao Hao Teo, Yao Neng Teo et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Y. Chan Singapore 40 2.4k 1.2k 925 824 726 347 6.0k
Spiros Denaxas United Kingdom 40 2.7k 1.1× 811 0.7× 787 0.9× 1.3k 1.6× 568 0.8× 186 7.7k
Changyu Shen United States 49 3.4k 1.4× 975 0.8× 1.6k 1.8× 815 1.0× 637 0.9× 289 9.3k
Sandeep R. Das United States 45 4.3k 1.8× 1.3k 1.0× 509 0.6× 1.1k 1.3× 1.1k 1.5× 163 7.7k
Mark D. Huffman United States 42 3.3k 1.4× 1.8k 1.5× 521 0.6× 693 0.8× 461 0.6× 250 7.8k
Connor A. Emdin United Kingdom 29 4.3k 1.8× 1.2k 1.0× 1.1k 1.1× 1.1k 1.3× 805 1.1× 48 9.1k
Ian Douglas United Kingdom 37 963 0.4× 952 0.8× 853 0.9× 1.0k 1.2× 1.3k 1.7× 155 7.0k
Iain Squire United Kingdom 52 5.3k 2.2× 1.2k 1.0× 1.5k 1.7× 886 1.1× 492 0.7× 190 8.8k
Juan P. Casas United Kingdom 46 2.3k 0.9× 1.2k 1.0× 1.1k 1.2× 1.2k 1.5× 998 1.4× 127 8.5k
Gary Tse China 53 5.4k 2.2× 1.3k 1.1× 2.5k 2.7× 958 1.2× 726 1.0× 573 10.4k
Alexandre Pariente France 46 1.1k 0.5× 883 0.7× 719 0.8× 1.0k 1.2× 361 0.5× 296 8.1k

Countries citing papers authored by Mark Y. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Mark Y. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Y. Chan. 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 Mark Y. Chan. The network helps show where Mark Y. Chan may publish in the future.

Co-authorship network of co-authors of Mark Y. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Y. Chan. A scholar is included among the top collaborators of Mark Y. Chan 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 Mark Y. Chan. Mark Y. Chan 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.
Lai, Yaxin, Olga Zharkova, Suet Yen Chong, et al.. (2024). TLR7 deficiency alleviated myocardial ischemia reperfusion injury via regulating macrophage-neutrophil interaction. European Heart Journal. 45(Supplement_1).
2.
Teo, Yao Hao, Yao Neng Teo, Nicholas Syn, et al.. (2024). Contemporary Incidence of Cognitive Impairment or Dementia in Patients Undergoing Coronary Artery Bypass Grafting: A Systematic Review and Meta-Analysis. Dementia and Geriatric Cognitive Disorders. 54(1). 1–15. 2 indexed citations
3.
Lee, Michelle H., Sonia Baig, Liang Shen, et al.. (2024). Performance of the 1 h oral glucose tolerance test in predicting type 2 diabetes and association with impaired β-cell function in Asians: a national prospective cohort study. The Lancet Regional Health - Western Pacific. 54. 101278–101278. 1 indexed citations
4.
Song, Xia, Yuting Wen, Jingling Zhu, et al.. (2024). PEGylation of New Thrombin Inhibitor Peptide Ultravariegin for Prolonged In Vivo Circulation and Enhanced Antithrombotic Effects. Molecular Pharmaceutics. 21(12). 6302–6310. 1 indexed citations
5.
Chin, Yip Han, Gwyneth Kong, Bryan Chong, et al.. (2024). Efficacy and safety of tirzepatide, GLP‐1 receptor agonists, and other weight loss drugs in overweight and obesity: a network meta‐analysis. Obesity. 32(5). 840–856. 34 indexed citations
6.
Teo, Yao Neng, Yao Hao Teo, Nicholas Syn, et al.. (2023). Co-prevalence and incidence of myocardial infarction and/or stroke in patients with depression and/or anxiety: A systematic review and meta-analysis. Journal of Psychosomatic Research. 165. 111141–111141. 14 indexed citations
7.
8.
Chong, Bryan, Jayanth Jayabaskaran, Rachel Goh, et al.. (2023). Epicardial Adipose Tissue Assessed by Computed Tomography and Echocardiography Are Associated With Adverse Cardiovascular Outcomes: A Systematic Review and Meta-Analysis. Circulation Cardiovascular Imaging. 16(5). e015159–e015159. 38 indexed citations
9.
Kong, Gwyneth, Yip Han Chin, Kannan Shankar, et al.. (2023). A two‐decade population‐based study on the effect of hypertension in the general population with obesity in the United States. Obesity. 31(3). 832–840. 13 indexed citations
10.
11.
Chin, Yip Han, Chaoxing Lin, Gwyneth Kong, et al.. (2022). Meta-analysis of the Placebo and Nocebo effects associated with Placebo treatment in randomized trials of lipid-lowering therapies. European Heart Journal - Quality of Care and Clinical Outcomes. 9(5). 511–519. 16 indexed citations
12.
Yap, Jonathan, Fei Gao, Yee How Lau, et al.. (2022). Characteristics and Outcomes of MI with Non-obstructive Coronary Arteries in a South-east Asian Cohort. 1. 2 indexed citations
13.
Xiao, Jieling, Cheng Han Ng, Yip Han Chin, et al.. (2022). A Class Effect Network Meta-analysis of Lipid Modulation in Non-alcoholic Steatohepatitis for Dyslipidemia. Journal of Clinical and Translational Hepatology. 0(0). 0–0. 4 indexed citations
14.
Ho, Jamie Sin Ying, Mark Y. Chan, Ping Chai, et al.. (2022). Prevalence and Risk Factors of Cardiac Amyloidosis in Heart Failure: A Systematic Review and Meta-Analysis. Heart Lung and Circulation. 31(11). 1450–1462. 17 indexed citations
15.
Nguyen, Quoc Toan, Sneha Muralidharan, Minh Thiet Vu, et al.. (2021). Deletion of Mfsd2b impairs thrombotic functions of platelets. Nature Communications. 12(1). 2286–2286. 18 indexed citations
16.
17.
Teo, Yao Neng, Yao Hao Teo, Nicholas Syn, et al.. (2021). SGLT inhibitors on weight and body mass: A meta‐analysis of 116 randomized‐controlled trials. Obesity. 30(1). 117–128. 55 indexed citations
18.
Gao, Fei, Nadira Hamid, Mohammed Amanullah, et al.. (2020). E/e' in relation to outcomes in ST‐elevation myocardial infarction. Echocardiography. 37(4). 554–560. 4 indexed citations
19.
Park, Yongwhi, Si Wan Choi, Ju Hyeon Oh, et al.. (2019). Rationale and Design of the High Platelet Inhibition with Ticagrelor to Improve Left Ventricular Remodeling in Patients with ST-Segment Elevation Myocardial Infarction (HEALING-AMI) Trial. Korean Circulation Journal. 49(7). 586–586. 4 indexed citations
20.
Chan, Mark Y., et al.. (2013). Receptores plaquetários P2Y12: importância na intervenção coronariana percutânea. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3 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.

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