David Brieger

11.8k total citations · 1 hit paper
318 papers, 7.3k citations indexed

About

David Brieger is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Brieger has authored 318 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 249 papers in Cardiology and Cardiovascular Medicine, 92 papers in Surgery and 81 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Brieger's work include Acute Myocardial Infarction Research (170 papers), Cardiac Imaging and Diagnostics (80 papers) and Coronary Interventions and Diagnostics (63 papers). David Brieger is often cited by papers focused on Acute Myocardial Infarction Research (170 papers), Cardiac Imaging and Diagnostics (80 papers) and Coronary Interventions and Diagnostics (63 papers). David Brieger collaborates with scholars based in Australia, United States and Canada. David Brieger's co-authors include Shaun G. Goodman, Philippe Gabríel Steg, Andrzej Budaj, Keith A.A. Fox, Derek P. Chew, Gilles Montalescot, Joel M. Gore, Kim A. Eagle, Leonard Kritharides and Álvaro Avezum and has published in prestigious journals such as JAMA, Circulation and Blood.

In The Last Decade

David Brieger

299 papers receiving 7.0k citations

Hit Papers

align trajectories

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.

Feasibility and cost-effectiveness of stroke prevention through community screening for atrial fibrillation using iPhone ECG in pharmacies

2014 339 citations Julie Redfern, Tom Briffa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Brieger Australia	44	5.7k	2.2k	1.8k	606	539	318	7.3k
E. Magnus Ohman United States	38	4.7k 0.8×	2.8k 1.3×	1.2k 0.7×	450 0.7×	830 1.5×	93	7.2k
Darleen Lessard United States	42	4.9k 0.9×	1.5k 0.7×	868 0.5×	995 1.6×	489 0.9×	182	7.2k
Nathan R. Every United States	37	4.4k 0.8×	2.2k 1.0×	1.4k 0.8×	945 1.6×	783 1.5×	98	6.3k
Andrew T. Yan Canada	45	5.4k 1.0×	1.8k 0.8×	2.1k 1.1×	259 0.4×	436 0.8×	298	7.4k
Rosemary F. Kelly United States	29	5.0k 0.9×	2.8k 1.2×	1.7k 0.9×	456 0.8×	206 0.4×	131	7.3k
Umesh N. Khot United States	21	5.3k 0.9×	3.9k 1.7×	2.0k 1.1×	318 0.5×	222 0.4×	76	7.1k
Kevin F. Kennedy United States	45	3.9k 0.7×	2.9k 1.3×	1.5k 0.8×	658 1.1×	364 0.7×	345	7.9k
Omar Dabbous United States	33	3.8k 0.7×	1.7k 0.8×	1.3k 0.7×	318 0.5×	400 0.7×	119	6.0k
David Brown United States	40	3.6k 0.6×	3.6k 1.6×	1.0k 0.6×	258 0.4×	266 0.5×	192	7.3k
John G. Canto United States	31	4.2k 0.7×	1.1k 0.5×	1.3k 0.7×	1.0k 1.7×	545 1.0×	52	5.4k

Countries citing papers authored by David Brieger

Since Specialization

Citations

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

Fields of papers citing papers by David Brieger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Brieger

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

All Works

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20 of 20 papers shown

Stacey, Ingrid, Judith Katzenellenbogen, Tom Briffa, et al.. (2025). Trends in acute coronary syndrome hospitalisation, incidence and mortality rates in young adults: an Australian linked data study. Journal of Epidemiology & Community Health. 79(8). 580–587. 1 indexed citations

Lin, Jialing, Claire T. Deakin, Juliana de Oliveira Costa, et al.. (2025). Trends in use of sodium-glucose cotransporter 2 inhibitors among people with type 2 diabetes following hospitalisation with heart failure: A population-based study. Diabetes Research and Clinical Practice. 224. 112242–112242.

Cheng, Yeu-Yao, Karice Hyun, Vincent Chow, et al.. (2024). Mortality outcomes in 35,433 patients admitted for acute haemorrhagic stroke in Australia: A population-linkage study. International Journal of Cardiology Cardiovascular Risk and Prevention. 21. 200258–200258. 1 indexed citations

Chow, Vincent, et al.. (2024). Morbidity and mortality outcomes of patients requiring isolated tricuspid valve surgery: a retrospective cohort study of 537 patients in New South Wales between 2002 and 2018. BMJ Open. 14(5). e080804–e080804.

Deakin, Claire T., Juliana de Oliveira Costa, David Brieger, et al.. (2024). Post-discharge pharmacotherapy in people with atrial fibrillation hospitalized for acute myocardial infarction: an Australian cohort study 2018–22. European Heart Journal - Quality of Care and Clinical Outcomes. 11(3). 259–270.

Gale, Chris P, Deborah Stocken, Suleman Aktaa, et al.. (2023). Effectiveness of GRACE risk score in patients admitted to hospital with non-ST elevation acute coronary syndrome (UKGRIS): parallel group cluster randomised controlled trial. BMJ. 381. e073843–e073843. 10 indexed citations

Costa, Juliana de Oliveira, Sallie‐Anne Pearson, David Brieger, et al.. (2023). In-hospital outcomes by insurance type among patients undergoing percutaneous coronary interventions for acute myocardial infarction in New South Wales public hospitals. International Journal for Equity in Health. 22(1). 226–226.

Kritharides, Leonard, et al.. (2022). Sex differences in rates of permanent pacemaker implantation and in-hospital complications: A statewide cohort study of over 7 million persons from 2009–2018. PLoS ONE. 17(8). e0272305–e0272305. 8 indexed citations

Hyun, Karice, et al.. (2022). Comparison of P2Y12 Inhibitors in Acute Coronary Syndromes in the Australian Population. Heart Lung and Circulation. 31(8). 1085–1092.

10.

Haghbayan, Hourmazd, Chris P Gale, Derek P. Chew, et al.. (2021). Clinical risk prediction models for the prognosis and management of acute coronary syndromes. European Heart Journal - Quality of Care and Clinical Outcomes. 7(3). 222–228. 2 indexed citations

11.

D’Souza, Michelle, Karice Hyun, Vincent Chow, et al.. (2020). 616 Outcomes Following Cardiac Bypass Surgery (CABG) in Public vs Private Hospitals in NSW. Heart Lung and Circulation. 29. S314–S315.

12.

Hyun, Karice, Mario D’Souza, Jennifer Barraclough, et al.. (2020). Relation of Body Mass Index to Outcomes in Acute Coronary Syndrome. The American Journal of Cardiology. 138. 11–19. 13 indexed citations

13.

Hyun, Karice, Julie Redfern, Emily Atkins, et al.. (2020). Gender Difference in Secondary Prevention of Cardiovascular Disease and Outcomes Following the Survival of Acute Coronary Syndrome. Heart Lung and Circulation. 30(1). 121–127. 37 indexed citations

14.

Everett, Colin, Keith A.A. Fox, Catherine Reynolds, et al.. (2019). Evaluation of the impact of the GRACE risk score on the management and outcome of patients hospitalised with non-ST elevation acute coronary syndrome in the UK: protocol of the UKGRIS cluster-randomised registry-based trial. BMJ Open. 9(9). e032165–e032165. 28 indexed citations

15.

Yu, Christopher, A. Ng, Janice Gullick, et al.. (2017). A Rapid Access Chest Pain Clinic (RACPC): Initial Australian Experience. Heart Lung and Circulation. 27(11). 1376–1380. 11 indexed citations

16.

Hammett, C., J. French, T. Briffa, et al.. (2014). A comparison of invasive angiography, revascularisation and time delays delivered to Australian and New Zealand non-ST-elevation myocardial infarction/unstable angina pectoris (NSTEMI/UAP) patients: results of the 2012 SNAPSHOT Bi-National acute coronary Syndrome (ACS) audit. Heart Lung and Circulation. 23. e23–e23. 2 indexed citations

17.

Ranasinghe, Isuru, Chris Naoum, B. Aliprandi‐Costa, et al.. (2012). Management and Outcomes Following an Acute Coronary Event in Patients with Chronic Heart Failure 1999–2007. European Journal of Heart Failure. 14(5). 464–472. 12 indexed citations

18.

Hung, Joseph, Derek P. Chew, John Amerena, et al.. (2007). Implications of Diabetes in Patients with Acute Coronary Syndromes (ACS). Heart Lung and Circulation. 16. S125–S125. 2 indexed citations

19.

Brieger, David, Frans Van de Werf, Giancarlo Agnelli, et al.. (2001). Safety of the combination of low-molecular weight heparin and glycoprotein IIb/IIIa inhibitors: observations from the GLobal Registry of Acute Coronary Events (GRACE). European Heart Journal. 22. 210–210. 4 indexed citations

20.

Brieger, David, Koon-Hou Mak, Harvey D. White, et al.. (1998). Benefit of Early Sustained Reperfusion in Patients With Prior Myocardial Infarction (The GUSTO-I Trial). The American Journal of Cardiology. 81(3). 282–287. 23 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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