Mary Tan

3.3k total citations
93 papers, 2.5k citations indexed

About

Mary Tan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mary Tan has authored 93 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cardiology and Cardiovascular Medicine, 27 papers in Surgery and 26 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mary Tan's work include Acute Myocardial Infarction Research (49 papers), Cardiac Imaging and Diagnostics (25 papers) and Atrial Fibrillation Management and Outcomes (19 papers). Mary Tan is often cited by papers focused on Acute Myocardial Infarction Research (49 papers), Cardiac Imaging and Diagnostics (25 papers) and Atrial Fibrillation Management and Outcomes (19 papers). Mary Tan collaborates with scholars based in Canada, United Kingdom and United States. Mary Tan's co-authors include Anatoly Langer, Shaun G. Goodman, David Fitchett, Andrew T. Yan, Raymond T. Yan, Peter Lin, Lawrence A. Leiter, Etienne A. Grima, Amparo Casanova and Paul W. Armstrong and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Diabetes Care.

In The Last Decade

Mary Tan

93 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Tan Canada 25 1.7k 676 523 282 249 93 2.5k
Kensey Gosch United States 28 1.4k 0.8× 768 1.1× 364 0.7× 135 0.5× 142 0.6× 127 2.2k
Thao Huynh Canada 26 1.7k 1.0× 600 0.9× 403 0.8× 134 0.5× 181 0.7× 120 2.5k
Thomas N. Levin United States 11 2.2k 1.3× 854 1.3× 756 1.4× 118 0.4× 284 1.1× 21 2.7k
Sameer Bansilal United States 25 1.6k 1.0× 659 1.0× 705 1.3× 436 1.5× 135 0.5× 68 3.2k
Ramón Corbalán Chile 13 3.0k 1.8× 1.1k 1.7× 1.1k 2.1× 248 0.9× 408 1.6× 24 3.5k
Björn W. Karlson Sweden 30 1.6k 0.9× 763 1.1× 279 0.5× 331 1.2× 62 0.2× 117 2.7k
Wesley T. O’Neal United States 33 3.0k 1.8× 388 0.6× 533 1.0× 165 0.6× 223 0.9× 158 3.9k
John Amerena Australia 24 1.7k 1.0× 362 0.5× 163 0.3× 239 0.8× 310 1.2× 95 2.2k
Maria Dorobanţu Romania 27 1.8k 1.1× 521 0.8× 372 0.7× 233 0.8× 73 0.3× 151 2.5k
Martin Gottwik Germany 24 1.5k 0.9× 707 1.0× 481 0.9× 154 0.5× 120 0.5× 90 2.3k

Countries citing papers authored by Mary Tan

Since Specialization
Citations

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

Fields of papers citing papers by Mary Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Tan. A scholar is included among the top collaborators of Mary Tan 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 Mary Tan. Mary Tan 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.
Welstead, Miles, et al.. (2025). A systematic review of epidemiological studies of life course socioeconomic status and adult structural brain changes. Neuroscience & Biobehavioral Reviews. 171. 106066–106066. 2 indexed citations
2.
4.
Tan, Mary, Katherine L. Whitcroft, Nishchay Mehta, et al.. (2019). A North London Pilot Survey to Assess the Need for a Medical Device in Diagnosing Chronic Rhinosinusitis in Primary Care. 2(2). 24–29. 3 indexed citations
5.
Langer, Anatoly, Mary Tan, John D. Graham, et al.. (2018). Can Clinical Reminder Help Optimize the Use of Secondary Prevention Therapies in Non-STElevation Acute Coronary Syndrome?. 1(1). 1–5. 3 indexed citations
6.
Goodman, Shaun G., Lawrence A. Leiter, Anatoly Langer, et al.. (2017). Blood Pressure Management in Adults With Type 2 Diabetes: Insights From the Diabetes Mellitus Status in Canada (DM-SCAN) Survey. Canadian Journal of Diabetes. 42(2). 130–137. 12 indexed citations
7.
Tan, Nigel S., Shaun G. Goodman, Warren J. Cantor, et al.. (2016). Efficacy of Early Invasive Management After Fibrinolysis for ST-Segment Elevation Myocardial Infarction in Relation to Initial Troponin Status. Canadian Journal of Cardiology. 32(10). 1221.e11–1221.e18. 7 indexed citations
8.
Russo, Juan, Shaun G. Goodman, Akshay Bagai, et al.. (2016). Duration of dual antiplatelet therapy and associated outcomes following percutaneous coronary intervention for acute myocardial infarction: contemporary practice insights from the Canadian Observational Antiplatelet Study. European Heart Journal - Quality of Care and Clinical Outcomes. 3(4). qcw051–qcw051. 7 indexed citations
9.
Angaran, Paul, Paul Dorian, Mary Tan, et al.. (2015). The Risk Stratification and Stroke Prevention Therapy Care Gap in Canadian Atrial Fibrillation Patients. Canadian Journal of Cardiology. 32(3). 336–343. 8 indexed citations
10.
Tan, Nigel S., Shaun G. Goodman, Raymond T. Yan, et al.. (2015). Prognostic significance of low QRS voltage on the admission electrocardiogram in acute coronary syndromes. International Journal of Cardiology. 190. 34–39. 15 indexed citations
11.
Rizvi, Sakina J., Etienne A. Grima, Mary Tan, et al.. (2014). Treatment-Resistant Depression in Primary Care across Canada. The Canadian Journal of Psychiatry. 59(7). 349–357. 116 indexed citations
13.
Teoh, Hwee, Jean‐Pierre Després, Robert Dufour, et al.. (2013). Identification and Management of Patients at Elevated Cardiometabolic Risk in Canadian Primary Care: How Well Are We Doing?. Canadian Journal of Cardiology. 29(8). 960–968. 14 indexed citations
14.
Ergene, Oktay, et al.. (2012). PCV55 A Cost-Effectiveness Analysis of Coralan® (Ivabradine) Plus Standard Care Versus Standard Care Alone in Chronic Heart Failure. Value in Health. 15(7). A372–A372. 2 indexed citations
15.
Clements, Philip J., Mary Tan, Vallerie V. McLaughlin, et al.. (2011). The pulmonary arterial hypertension quality enhancement research initiative: comparison of patients with idiopathic PAH to patients with systemic sclerosis-associated PAH. Annals of the Rheumatic Diseases. 71(2). 249–252. 54 indexed citations
17.
McLaughlin, Vallerie V., Anatoly Langer, Amparo Casanova, et al.. (2010). Contemporary Trends in the Diagnosis and Management of PAH: An Initiative To Close the Care Gap. CHEST Journal. 138(4). 351A–351A. 2 indexed citations
18.
Zia, Mohammad I., Shaun G. Goodman, Eric D. Peterson, et al.. (2007). Paradoxical use of invasive cardiac procedures for patients with non-ST segment elevation myocardial infarction: An international perspective from the CRUSADE Initiative and the Canadian ACS Registries I and II. Canadian Journal of Cardiology. 23(13). 1073–1079. 30 indexed citations
19.
Hackam, Daniel G., Mary Tan, Peter Lin, et al.. (2006). Supporting a call to action for peripheral artery disease: Insights from two prospective clinical registries. Journal of Vascular Surgery. 44(4). 776–781. 13 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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