George Mak

738 total citations
9 papers, 552 citations indexed

About

George Mak is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, George Mak has authored 9 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 2 papers in Epidemiology and 1 paper in Surgery. Recurrent topics in George Mak's work include Cardiovascular Function and Risk Factors (5 papers), Cardiac Valve Diseases and Treatments (3 papers) and Heart Failure Treatment and Management (3 papers). George Mak is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Cardiac Valve Diseases and Treatments (3 papers) and Heart Failure Treatment and Management (3 papers). George Mak collaborates with scholars based in Ireland, Canada and Australia. George Mak's co-authors include Kenneth McDonald, Mark Ledwidge, Dermot Phelan, Chris Watson, John A. Baugh, Victor Voon, Patrick Collier, Ramón Martos, Philipp Blanke and Jonathon Leipsic and has published in prestigious journals such as Journal of the American College of Cardiology, European Journal of Heart Failure and JACC. Cardiovascular imaging.

In The Last Decade

George Mak

8 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Mak Ireland 7 490 180 115 72 60 9 552
Tetsu Tanaka Germany 14 422 0.9× 169 0.9× 95 0.8× 107 1.5× 61 1.0× 61 535
Georg Spinka Austria 14 318 0.6× 82 0.5× 47 0.4× 81 1.1× 30 0.5× 42 400
M. Henein Sweden 11 355 0.7× 70 0.4× 113 1.0× 98 1.4× 141 2.4× 16 477
Yoshiomi Shimizu Japan 5 163 0.3× 116 0.6× 147 1.3× 52 0.7× 29 0.5× 5 326
Levent Korkmaz Türkiye 13 325 0.7× 63 0.3× 83 0.7× 120 1.7× 88 1.5× 59 456
Junko Hotchi Japan 12 254 0.5× 51 0.3× 88 0.8× 75 1.0× 71 1.2× 21 390
Matilde Nardi Italy 11 533 1.1× 75 0.4× 113 1.0× 81 1.1× 77 1.3× 18 650
Keishi Ichikawa Japan 11 304 0.6× 119 0.7× 38 0.3× 102 1.4× 93 1.6× 57 467
Hongtao Liao China 16 844 1.7× 78 0.4× 64 0.6× 137 1.9× 96 1.6× 83 1.0k
Qiaoyu Shao China 8 224 0.5× 109 0.6× 37 0.3× 86 1.2× 49 0.8× 17 391

Countries citing papers authored by George Mak

Since Specialization
Citations

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

Fields of papers citing papers by George Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Mak

This figure shows the co-authorship network connecting the top 25 collaborators of George Mak. A scholar is included among the top collaborators of George Mak 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 George Mak. George Mak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Mak, George, et al.. (2022). Delivering a new helicopter base at Kai Tak for the Hong Kong Government Flying Service. Proceedings of the Institution of Civil Engineers - Civil Engineering. 176(1). 33–39.
2.
Toma, Mustafa, George Mak, Virginia Chen, et al.. (2017). Differentiating Heart Failure Phenotypes Using Sex-Specific Transcriptomic and Proteomic Biomarker Panels. ESC Heart Failure. 4(3). 301–311. 29 indexed citations
3.
Naoum, Christopher, Jonathon Leipsic, Anson Cheung, et al.. (2016). Mitral Annular Dimensions and Geometry in Patients With Functional Mitral Regurgitation and Mitral Valve Prolapse. JACC. Cardiovascular imaging. 9(3). 269–280. 65 indexed citations
4.
Perlman, Gidon, Philipp Blanke, Danny Dvir, et al.. (2016). Bicuspid Aortic Valve Stenosis. JACC: Cardiovascular Interventions. 9(8). 817–824. 124 indexed citations
5.
Mak, George, Philipp Blanke, Kevin Ong, et al.. (2016). Three-Dimensional Echocardiography Compared With Computed Tomography to Determine Mitral Annulus Size Before Transcatheter Mitral Valve Implantation. Circulation Cardiovascular Imaging. 9(6). 39 indexed citations
6.
Collier, Patrick, Chris Watson, Victor Voon, et al.. (2011). Can Emerging Biomarkers of Myocardial Remodelling Identify Asymptomatic Hypertensive Patients at Risk for Diastolic Dysfunction and Diastolic Heart Failure?. European Journal of Heart Failure. 13(10). 1087–1095. 181 indexed citations
7.
Mak, George, Mark Ledwidge, Chris Watson, et al.. (2009). Natural History of Markers of Collagen Turnover in Patients With Early Diastolic Dysfunction and Impact of Eplerenone. Journal of the American College of Cardiology. 54(18). 1674–1682. 98 indexed citations
8.
Mak, George, Niamh Murphy, Alison Walsh, et al.. (2008). Multiple Neurohumoral Modulating Agents in Systolic Dysfunction Heart Failure: Are We Lowering Blood Pressure Too Much?. Journal of Cardiac Failure. 14(7). 555–560. 12 indexed citations
9.
Mak, George, Niamh Murphy, & Kenneth McDonald. (2008). Anemia in heart failure: To treat or not to treat?. Current Treatment Options in Cardiovascular Medicine. 10(6). 455–464. 4 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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