Nigel S. Tan

514 total citations
25 papers, 312 citations indexed

About

Nigel S. Tan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nigel S. Tan has authored 25 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nigel S. Tan's work include Cardiac Imaging and Diagnostics (11 papers), Acute Myocardial Infarction Research (9 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Nigel S. Tan is often cited by papers focused on Cardiac Imaging and Diagnostics (11 papers), Acute Myocardial Infarction Research (9 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Nigel S. Tan collaborates with scholars based in Canada, United Kingdom and United States. Nigel S. Tan's co-authors include Andrew T. Yan, Nanette K. Wenger, Masoumeh Sadeghi, Karam Turk-Adawi, Sherry L. Grace, Kathryn A. Taubert, Nizal Sarrafzadegan, Shaun G. Goodman, Ibtihal Fadhil and Muhammad Mamdani and has published in prestigious journals such as Radiology, The American Journal of Cardiology and Nutrients.

In The Last Decade

Nigel S. Tan

22 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel S. Tan Canada 9 166 44 44 37 33 25 312
Antônio de Sousa Júnior Brazil 7 268 1.6× 12 0.3× 13 0.3× 38 1.0× 31 0.9× 28 411
Thomas Johnson Nigeria 12 37 0.2× 49 1.1× 21 0.5× 38 1.0× 117 3.5× 20 398
Lynette Ekunwe United States 9 138 0.8× 64 1.5× 18 0.4× 38 1.0× 43 1.3× 11 525
Philip Bretsky United States 9 114 0.7× 31 0.7× 7 0.2× 8 0.2× 118 3.6× 12 346
Ri Sho Japan 9 37 0.2× 39 0.9× 14 0.3× 39 1.1× 6 0.2× 23 268
Emmanuel Michalodimitrakis Greece 11 31 0.2× 84 1.9× 34 0.8× 43 1.2× 4 0.1× 30 380
Kenneth Hodson United Kingdom 11 46 0.3× 72 1.6× 24 0.5× 67 1.8× 6 0.2× 25 316
N T A BYAM United Kingdom 6 104 0.6× 87 2.0× 12 0.3× 76 2.1× 231 7.0× 8 426
Gustav Smith Sweden 4 49 0.3× 106 2.4× 18 0.4× 26 0.7× 12 0.4× 8 309
J.J.H.M. Erwich Netherlands 11 31 0.2× 142 3.2× 26 0.6× 26 0.7× 11 0.3× 19 469

Countries citing papers authored by Nigel S. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Nigel S. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nigel S. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel S. Tan. A scholar is included among the top collaborators of Nigel S. 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 Nigel S. Tan. Nigel S. 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.
Collier, Chris, Inna Y. Gong, Nigel S. Tan, et al.. (2023). Temporal Trends of Enrollment by Sex and Race in Major Cardiovascular Randomized Clinical Trials. CJC Open. 6(2). 454–462. 1 indexed citations
2.
Shalmon, Tamar, Laura Jiménez‐Juan, Anish Kirpalani, et al.. (2023). Prognostic Value of Different Thresholds for Myocardial Scar Quantification on Cardiac MRI Late Gadolinium Enhancement Images in Patients Receiving Implantable Cardioverter Defibrillators. Radiology Cardiothoracic Imaging. 5(3). e210247–e210247. 1 indexed citations
3.
Shalmon, Tamar, Sheldon M. Singh, Gauri Rani Karur, et al.. (2021). Prognostic value of cardiovascular magnetic resonance left ventricular volumetry and geometry in patients receiving an implantable cardioverter defibrillator. Journal of Cardiovascular Magnetic Resonance. 23(1). 72–72. 4 indexed citations
4.
Jiménez‐Juan, Laura, Nigel S. Tan, Sheldon M. Singh, et al.. (2021). Right Ventricular Function at Cardiac MRI Predicts Cardiovascular Events in Patients with an Implantable Cardioverter-Defibrillator. Radiology. 301(2). 322–329. 7 indexed citations
5.
Gong, Inna Y., Payam Yazdan-Ashoori, Laura Jiménez‐Juan, et al.. (2021). Left atrial volume and function measured by cardiac magnetic resonance imaging as predictors of shocks and mortality in patients with implantable cardioverter-defibrillators. International journal of cardiac imaging. 37(7). 2259–2267. 1 indexed citations
6.
Tan, Nigel S., Djeven P. Deva, Kim A. Connelly, et al.. (2021). Myocardial strain assessment using cardiovascular magnetic resonance imaging in recipients of implantable cardioverter defibrillators. Journal of Cardiovascular Magnetic Resonance. 23(1). 115–115. 2 indexed citations
7.
Gong, Inna Y., Nigel S. Tan, Gerald Lebovic, et al.. (2019). Temporal Trends of Women Enrollment in Major Cardiovascular Randomized Clinical Trials. Canadian Journal of Cardiology. 35(5). 653–660. 52 indexed citations
8.
Tan, Mary, D. Armstrong, Andrew T. Yan, et al.. (2018). Previous and New Onset Atrial Fibrillation and Associated Outcomes in Acute Coronary Syndromes (from the Global Registry of Acute Coronary Events). The American Journal of Cardiology. 122(6). 944–951. 12 indexed citations
9.
Tan, Nigel S., R. Bajaj, Chantal F. Morel, & Sheldon M. Singh. (2018). Metabolic cardiomyopathy from propionic acidemia precipitating cardiac arrest in a 25-year-old man. Canadian Medical Association Journal. 190(29). E883–E887. 6 indexed citations
10.
Tan, Nigel S. & Paul Dorian. (2018). Out-of-Hospital Cardiac Arrest in the Presence of Ischemic Heart Disease: What Is the Long-term Arrhythmic Risk After Revascularization?. Canadian Journal of Cardiology. 34(8). 1079–1082.
11.
Turk-Adawi, Karam, Nizal Sarrafzadegan, Ibtihal Fadhil, et al.. (2017). Cardiovascular disease in the Eastern Mediterranean region: epidemiology and risk factor burden. Nature Reviews Cardiology. 15(2). 106–119. 96 indexed citations
12.
Goodman, Shaun G., David Brieger, Chris P Gale, et al.. (2017). Electrocardiographic Findings in Patients With Acute Coronary Syndrome Presenting With Out-of-Hospital Cardiac Arrest. The American Journal of Cardiology. 121(3). 294–300. 1 indexed citations
13.
Tan, Nigel S., Keith A.A. Fox, David Brieger, et al.. (2017). Pulse pressure in acute coronary syndromes: Comparative prognostic significance with systolic blood pressure. European Heart Journal Acute Cardiovascular Care. 8(4). 309–317. 6 indexed citations
14.
Azam, Mohammed Ali, Nima Zamiri, Stéphane Massé, et al.. (2017). Effects of Late Sodium Current Blockade on Ventricular Refibrillation in a Rabbit Model. Circulation Arrhythmia and Electrophysiology. 10(3). 14 indexed citations
15.
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
16.
Tan, Nigel S. & Andrew T. Yan. (2016). From Mars to Venus: Gender Differences in the Management and Outcomes of Acute Coronary Syndromes. Current Pharmaceutical Design. 22(25). 3790–3801. 2 indexed citations
17.
Goodman, Shaun G., Raymond T. Yan, Mary Tan, et al.. (2016). Prognostic value of dynamic electrocardiographic T wave changes in non-ST elevation acute coronary syndrome. Heart. 102(17). 1396–1402. 9 indexed citations
18.
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
20.
Tan, Nigel S., Shaun G. Goodman, Raymond T. Yan, et al.. (2013). Comparative prognostic value of T-wave inversion and ST-segment depression on the admission electrocardiogram in non–ST-segment elevation acute coronary syndromes. American Heart Journal. 166(2). 290–297. 18 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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