Tracy Q. Callister

19.4k total citations · 6 hit papers
70 papers, 8.9k citations indexed

About

Tracy Q. Callister is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Tracy Q. Callister has authored 70 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Cardiology and Cardiovascular Medicine and 18 papers in Surgery. Recurrent topics in Tracy Q. Callister's work include Cardiac Imaging and Diagnostics (65 papers), Cardiovascular Function and Risk Factors (20 papers) and Acute Myocardial Infarction Research (20 papers). Tracy Q. Callister is often cited by papers focused on Cardiac Imaging and Diagnostics (65 papers), Cardiovascular Function and Risk Factors (20 papers) and Acute Myocardial Infarction Research (20 papers). Tracy Q. Callister collaborates with scholars based in United States, South Korea and Italy. Tracy Q. Callister's co-authors include Paolo Raggi, Leslee J. Shaw, Daniel S. Berman, Bruce Cooil, Nicholas J. Lippolis, Donald J. Russo, Matthew J. Budoff, James K. Min, Jonathan W. Weinsaft and Enrique F. Schisterman and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Tracy Q. Callister

68 papers receiving 8.6k citations

Hit Papers

Long-Term Prognosis Assoc... 1998 2026 2007 2016 2007 2007 2003 2000 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Q. Callister United States 38 6.7k 4.3k 2.9k 2.0k 1.3k 70 8.9k
Warren R. Janowitz United States 15 4.8k 0.7× 3.4k 0.8× 2.0k 0.7× 1.5k 0.8× 1.3k 1.0× 41 7.5k
N R Zusmer United States 5 3.7k 0.6× 2.9k 0.7× 1.6k 0.5× 1.1k 0.6× 1.1k 0.8× 9 6.1k
Maros Ferencik United States 49 6.4k 1.0× 3.9k 0.9× 3.2k 1.1× 2.3k 1.2× 1.2k 0.9× 204 8.6k
Alexander Leber Germany 37 5.0k 0.8× 2.0k 0.5× 2.1k 0.7× 2.7k 1.4× 755 0.6× 83 6.5k
Martin Hadamitzky Germany 40 3.9k 0.6× 4.7k 1.1× 4.2k 1.4× 1.4k 0.7× 1.1k 0.8× 138 7.9k
Christopher E. Buller Canada 44 1.8k 0.3× 5.0k 1.1× 4.3k 1.5× 1.2k 0.6× 1.6k 1.2× 122 7.3k
Richard G. Bach United States 39 2.1k 0.3× 4.4k 1.0× 3.6k 1.3× 816 0.4× 729 0.6× 179 6.3k
Jerome F. Breen United States 43 2.4k 0.4× 3.4k 0.8× 2.0k 0.7× 696 0.4× 1.3k 1.0× 93 5.7k
Yuji Ikari Japan 39 1.3k 0.2× 2.8k 0.6× 2.8k 1.0× 279 0.1× 1.6k 1.2× 384 5.8k
William F. Fearon United States 53 5.7k 0.9× 7.3k 1.7× 6.5k 2.2× 697 0.4× 1.2k 0.9× 255 10.0k

Countries citing papers authored by Tracy Q. Callister

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Q. Callister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy Q. Callister. 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 Tracy Q. Callister. The network helps show where Tracy Q. Callister may publish in the future.

Co-authorship network of co-authors of Tracy Q. Callister

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Q. Callister. A scholar is included among the top collaborators of Tracy Q. Callister 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 Tracy Q. Callister. Tracy Q. Callister 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.
Hartaigh, Bríain ó, Heidi Gransar, Tracy Q. Callister, et al.. (2017). Development and Validation of a Simple-to-Use Nomogram for Predicting 5-, 10-, and 15-Year Survival in Asymptomatic Adults Undergoing Coronary Artery Calcium Scoring. JACC. Cardiovascular imaging. 11(3). 450–458. 60 indexed citations
2.
Hartaigh, Bríain ó, Valentina Valenti, Iksung Cho, et al.. (2016). 15-Year prognostic utility of coronary artery calcium scoring for all-cause mortality in the elderly. Atherosclerosis. 246. 361–366. 17 indexed citations
3.
Hartaigh, Bríain ó, Heidi Gransar, Tracy Q. Callister, et al.. (2015). A SIMPLE-TO-USE NOMOGRAM FOR PREDICTING 5-, 10- AND 15-YEAR SURVIVAL FOR ASYMPTOMATIC INDIVIDUALS UNDERGOING CORONARY ARTERY CALCIUM SCORING. Journal of the American College of Cardiology. 65(10). A1159–A1159. 1 indexed citations
4.
Valenti, Valentina, Bríain ó Hartaigh, Ran Heo, et al.. (2015). A 15-Year Warranty Period for Asymptomatic Individuals Without Coronary Artery Calcium. JACC. Cardiovascular imaging. 8(8). 900–909. 169 indexed citations
5.
Patel, Jaideep, Michael J. Blaha, John W. McEvoy, et al.. (2014). All-cause mortality in asymptomatic persons with extensive Agatston scores above 1000. Journal of cardiovascular computed tomography. 8(1). 26–32. 17 indexed citations
6.
Achenbach, Stephan, Allison Dunning, Daniel S. Berman, et al.. (2012). ASYMPTOMATIC INDIVIDUALS WITH NON-CALCIFIED PLAQUE ALONE BY CORONARY CT ANGIOGRAPHY: ASSOCIATION TO CORONARY ARTERY DISEASE RISK FACTORS AND PROGNOSTIC IMPLICATIONS FOR PATIENTS IN THE PROSPECTIVE MULTICENTER INTERNATIONAL CONFIRM REGISTRY. Journal of the American College of Cardiology. 59(13). E1325–E1325. 1 indexed citations
7.
McEvoy, John W., Michael J. Blaha, Juan J. Rivera, et al.. (2012). Mortality Rates in Smokers and Nonsmokers in the Presence or Absence of Coronary Artery Calcification. JACC. Cardiovascular imaging. 5(10). 1037–1045. 55 indexed citations
8.
Min, James K., Sunaina Koduru, Allison Dunning, et al.. (2012). Coronary CT angiography versus myocardial perfusion imaging for near-term quality of life, cost and radiation exposure: A prospective multicenter randomized pilot trial. Journal of cardiovascular computed tomography. 6(4). 274–283. 56 indexed citations
9.
Lin, Fay Y., Richard B. Devereux, Troy LaBounty, et al.. (2011). Nonobstructive coronary artery disease as detected by 64-detector row cardiac computed tomographic angiography is associated with increased left ventricular mass. Journal of cardiovascular computed tomography. 5(3). 158–164. 6 indexed citations
10.
Achenbach, Stephan, Daniel S. Berman, Matthew J. Budoff, et al.. (2011). Abstract 14099: Prognostic Value of Coronary CT Angiography for the Prediction of Mortality and Non-Fatal Major Adverse Cardiac Events: Results from the Multinational CONFIRM Registry. Circulation. 124. 5 indexed citations
11.
Rana, Jamal S., Heidi Gransar, Leslee J. Shaw, et al.. (2011). CORONARY ARTERY CALCIUM SCORE AND RISK CLASSIFICATION FOR MORTALITY PREDICTION FOR INDIVIDUALS WITH AND WITHOUT DIABETES. Journal of the American College of Cardiology. 57(14). E883–E883. 2 indexed citations
12.
Cheng, Victor, Daniel S. Berman, Allison Dunning, et al.. (2010). Abstract 12100: Marked Overestimation of Obstructive Coronary Artery Disease Probability by the Diamond-Forrester Classification in Sympomatic Patients Undergoing Coronary CT Angiography: Results from the Multinational CONFIRM Registry (Coroanry CT Angiograph Evaluation For Clinical Outcomes: An International Multicenter Registry). Circulation. 122. 2 indexed citations
13.
Blaha, Michael J., Matthew J. Budoff, Leslee J. Shaw, et al.. (2009). Absence of Coronary Artery Calcification and All-Cause Mortality. JACC. Cardiovascular imaging. 2(6). 692–700. 340 indexed citations
14.
Lin, Fay Y., Richard B. Devereux, Mary J. Roman, et al.. (2008). Cardiac Chamber Volumes, Function, and Mass as Determined by 64-Multidetector Row Computed Tomography. JACC. Cardiovascular imaging. 1(6). 782–786. 121 indexed citations
15.
Lin, Fay Y., Richard B. Devereux, Mary J. Roman, et al.. (2008). Assessment of the thoracic aorta by multidetector computed tomography: Age- and sex-specific reference values in adults without evident cardiovascular disease. Journal of cardiovascular computed tomography. 2(5). 298–308. 100 indexed citations
16.
Shaw, Leslee J., et al.. (2008). Prognosis by coronary computed tomographic angiography: Matched comparison with myocardial perfusion single-photon emission computed tomography. Journal of cardiovascular computed tomography. 2(2). 93–101. 36 indexed citations
17.
Shaw, Leslee J., Paolo Raggi, Daniel S. Berman, & Tracy Q. Callister. (2005). Coronary artery calcium as a measure of biologic age. Atherosclerosis. 188(1). 112–119. 107 indexed citations
18.
Raggi, Paolo, Bruce Cooil, & Tracy Q. Callister. (2001). Use of electron beam tomography data to develop models for prediction of hard coronary events. American Heart Journal. 141(3). 375–382. 192 indexed citations
19.
Callister, Tracy Q., Warren R. Janowitz, & Paolo Raggi. (2000). Sensitivity of Two Electron Beam Tomography Protocols for the Detection and Quantification of Coronary Artery Calcium. American Journal of Roentgenology. 175(6). 1743–1746. 39 indexed citations
20.
Callister, Tracy Q., Paolo Raggi, Bruce Cooil, Nicholas J. Lippolis, & Donald J. Russo. (1998). Effect of HMG-CoA Reductase Inhibitors on Coronary Artery Disease as Assessed by Electron-Beam Computed Tomography. New England Journal of Medicine. 339(27). 1972–1978. 538 indexed citations breakdown →

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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