Tracie Breeding

408 total citations
9 papers, 307 citations indexed

About

Tracie Breeding is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and General Health Professions. According to data from OpenAlex, Tracie Breeding has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in General Health Professions. Recurrent topics in Tracie Breeding's work include Cardiac Imaging and Diagnostics (5 papers), Cardiac Health and Mental Health (4 papers) and Acute Myocardial Infarction Research (3 papers). Tracie Breeding is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Cardiac Health and Mental Health (4 papers) and Acute Myocardial Infarction Research (3 papers). Tracie Breeding collaborates with scholars based in United States and Australia. Tracie Breeding's co-authors include John A. Spertus, Philip G. Jones, Kensey Gosch, Suzanne V. Arnold, Fengming Tang, William J. Oetgen, Kristi Mitchell, Donna M. Buchanan, Paul Chan and John S. Rumsfeld and has published in prestigious journals such as Journal of the American College of Cardiology, American Heart Journal and Journal of the American Heart Association.

In The Last Decade

Tracie Breeding

9 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracie Breeding United States 7 252 75 59 55 27 9 307
Michael C. Tjandrawidjaja Canada 7 226 0.9× 50 0.7× 43 0.7× 29 0.5× 64 2.4× 8 302
Khaula Baloch United States 6 471 1.9× 39 0.5× 71 1.2× 32 0.6× 34 1.3× 7 553
José Polo García Spain 9 266 1.1× 24 0.3× 35 0.6× 45 0.8× 27 1.0× 40 328
Frank Towae Germany 6 251 1.0× 128 1.7× 21 0.4× 136 2.5× 16 0.6× 13 323
Nekane Murga Spain 11 305 1.2× 59 0.8× 55 0.9× 114 2.1× 9 0.3× 27 412
A. Auricchio Switzerland 5 403 1.6× 24 0.3× 25 0.4× 52 0.9× 19 0.7× 6 441
R. G. Tieleman Netherlands 9 649 2.6× 46 0.6× 81 1.4× 46 0.8× 24 0.9× 10 693
Victoria Muratov Canada 3 146 0.6× 57 0.8× 41 0.7× 123 2.2× 11 0.4× 4 214
Iñaki Lekuona Spain 13 282 1.1× 39 0.5× 34 0.6× 152 2.8× 14 0.5× 49 439
Trudie Lobban United Kingdom 10 389 1.5× 29 0.4× 48 0.8× 85 1.5× 23 0.9× 29 458

Countries citing papers authored by Tracie Breeding

Since Specialization
Citations

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

Fields of papers citing papers by Tracie Breeding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracie Breeding

This figure shows the co-authorship network connecting the top 25 collaborators of Tracie Breeding. A scholar is included among the top collaborators of Tracie Breeding 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 Tracie Breeding. Tracie Breeding 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.
Hejjaji, Vittal, Kensey Gosch, Philip G. Jones, et al.. (2020). Comanagement of Risk Factors in Patients With Coronary Artery Disease: Insights From the APPEAR Study. Journal of the American Heart Association. 9(11). e015157–e015157. 3 indexed citations
2.
Peri-Okonny, Poghni, Krishna Patel, Philip G. Jones, et al.. (2018). Low Diastolic Blood Pressure Is Associated With Angina in Patients With Chronic Coronary Artery Disease. Journal of the American College of Cardiology. 72(11). 1227–1232. 18 indexed citations
3.
Allen, Larry A., Fengming Tang, Philip G. Jones, et al.. (2018). Signs, symptoms, and treatment patterns across serial ambulatory cardiology visits in patients with heart failure: insights from the NCDR PINNACLE® registry. BMC Cardiovascular Disorders. 18(1). 80–80. 15 indexed citations
4.
5.
6.
Qintar, Mohammed, John A. Spertus, Kensey Gosch, et al.. (2016). Effect of angina under-recognition on treatment in outpatients with stable ischaemic heart disease. European Heart Journal - Quality of Care and Clinical Outcomes. 2(3). 208–214. 27 indexed citations
7.
Arnold, Suzanne V., Anna Grodzinsky, Kensey Gosch, et al.. (2016). Predictors of Physician Under-Recognition of Angina in Outpatients With Stable Coronary Artery Disease. Circulation Cardiovascular Quality and Outcomes. 9(5). 554–559. 43 indexed citations
8.
Shafiq, Ali, Faraz Kureshi, Suzanne V. Arnold, et al.. (2015). Abstract 7: Patient and Physician Discordance in Reporting Symptoms of Angina: Insights from the Angina Prevalence and Provider Evaluation of Angina Relief (APPEAR) Study. Circulation Cardiovascular Quality and Outcomes. 8(suppl_2). 2 indexed citations
9.
Chan, Paul, William J. Oetgen, Donna M. Buchanan, et al.. (2010). Cardiac Performance Measure Compliance in Outpatients. Journal of the American College of Cardiology. 56(1). 8–14. 138 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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2026