Gary Headden

592 total citations
15 papers, 183 citations indexed

About

Gary Headden is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Gary Headden has authored 15 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Epidemiology. Recurrent topics in Gary Headden's work include Acute Myocardial Infarction Research (6 papers), Heart Failure Treatment and Management (5 papers) and Cardiac Imaging and Diagnostics (5 papers). Gary Headden is often cited by papers focused on Acute Myocardial Infarction Research (6 papers), Heart Failure Treatment and Management (5 papers) and Cardiac Imaging and Diagnostics (5 papers). Gary Headden collaborates with scholars based in United States, Germany and New Zealand. Gary Headden's co-authors include U. Joseph Schoepf, Fabian Bamberg, J. Michael Barraza, John W. Nance, Konstantin Nikolaou, Gorka Bastarrika, Christian Thilo, Christopher L. Schlett, Philip Costello and Peter L. Zwerner and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Clinica Chimica Acta.

In The Last Decade

Gary Headden

15 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Headden United States	8	122	91	53	29	25	15	183
Erasmo de la Peña-Almaguer Mexico	10	105 0.9×	203 2.2×	80 1.5×	31 1.1×	32 1.3×	24	303
Fabio Fazzari Italy	8	51 0.4×	101 1.1×	50 0.9×	20 0.7×	8 0.3×	22	172
Elisabete Jorge Portugal	8	79 0.6×	149 1.6×	93 1.8×	16 0.6×	14 0.6×	44	227
Rajeev Mohan United States	7	23 0.2×	128 1.4×	67 1.3×	34 1.2×	24 1.0×	27	183
Graziella Pompei Italy	8	97 0.8×	123 1.4×	75 1.4×	12 0.4×	4 0.2×	32	199
Joe Y. Hsu United States	7	147 1.2×	115 1.3×	52 1.0×	47 1.6×	39 1.6×	14	255
F Rigo Italy	7	257 2.1×	289 3.2×	140 2.6×	18 0.6×	10 0.4×	15	359
Reto Gamma United Kingdom	7	40 0.3×	67 0.7×	54 1.0×	5 0.2×	10 0.4×	19	108
Thomas Dahlslett Norway	6	180 1.5×	353 3.9×	77 1.5×	23 0.8×	17 0.7×	11	395
Desirée Wussler Switzerland	9	50 0.4×	179 2.0×	36 0.7×	14 0.5×	4 0.2×	44	228

Countries citing papers authored by Gary Headden

Since Specialization

Citations

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

Fields of papers citing papers by Gary Headden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Headden

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

All Works

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15 of 15 papers shown

Singer, Adam J., Judd E. Hollander, W. Frank Peacock, et al.. (2025). Effect of host‐protein test (TRAIL/IP‐10/CRP) on antibiotic prescription and emergency department or urgent care center return visits: The JUNO pilot randomized controlled trial. Academic Emergency Medicine. 32(9). 975–984. 1 indexed citations

Allen, Brandon R., et al.. (2025). A novel NT-proBNP assay for heart failure diagnosis: A prospective, multicenter clinical trial. Clinica Chimica Acta. 572. 120249–120249. 1 indexed citations

Christenson, Robert H., Brandon R. Allen, Jenny Guidi, et al.. (2025). Analytical Characterization and Validation of a Novel Automated Amino-Terminal proB-Type Natriuretic Peptide Assay. The Journal of Applied Laboratory Medicine. 10(3). 659–670. 1 indexed citations

Peacock, W. Frank, James L. Januzzi, Gary Headden, et al.. (2023). Methods of the ivota triAl of he Atellica VTLi point of care emergenc de artment high sensitivity troponin eval ation. Clinical Biochemistry. 121-122. 110679–110679. 2 indexed citations

Nichols, James H., Ethan S. Brandler, Corinne R. Fantz, et al.. (2021). A Multicenter Evaluation of a Point-of-Care Blood Glucose Meter System in Critically Ill Patients. The Journal of Applied Laboratory Medicine. 6(4). 820–833. 12 indexed citations

Peacock, W. Frank, Robert H. Christenson, Deborah B. Diercks, et al.. (2020). Myocardial Infarction Can Be Safely Excluded by High‐sensitivity Troponin I Testing 3 Hours After Emergency Department Presentation. Academic Emergency Medicine. 27(8). 671–680. 9 indexed citations

Singer, Adam J., Martin Than, Stephen W. Smith, et al.. (2017). Missed myocardial infarctions in ED patients prospectively categorized as low risk by established risk scores. The American Journal of Emergency Medicine. 35(5). 704–709. 23 indexed citations

Vasudevan, Anupama, Adam J. Singer, Christopher R. deFilippi, et al.. (2017). Renal Function and Scaled Troponin in Patients Presenting to the Emergency Department with Symptoms of Myocardial Infarction. American Journal of Nephrology. 45(4). 304–309. 7 indexed citations

Cecco, Carlo N. De, U. Joseph Schoepf, Justin R. Silverman, et al.. (2014). Residents' Performance in the Interpretation of On-Call “Triple-Rule-Out” CT Studies in Patients with Acute Chest Pain. Academic Radiology. 21(7). 938–944. 8 indexed citations

10.

Schlett, Christopher L., John W. Nance, U. Joseph Schoepf, et al.. (2014). Differences in coronary artery disease by CT angiography between patients developing unstable angina pectoris vs. major adverse cardiac events. European Journal of Radiology. 83(7). 1113–1119. 6 indexed citations

11.

Ebersberger, Ullrich, Sonja Sudarski, U. Joseph Schoepf, et al.. (2013). Atherosclerotic plaque burden in cocaine users with acute chest pain: Analysis by coronary computed tomography angiography. Atherosclerosis. 229(2). 443–448. 17 indexed citations

12.

Nance, John W., Christopher L. Schlett, U. Joseph Schoepf, et al.. (2012). Incremental Prognostic Value of Different Components of Coronary Atherosclerotic Plaque at Cardiac CT Angiography beyond Coronary Calcification in Patients with Acute Chest Pain. Radiology. 264(3). 679–690. 50 indexed citations

13.

Nance, John W., Fabian Bamberg, U. Joseph Schoepf, et al.. (2011). Coronary Atherosclerosis in African American and White Patients with Acute Chest Pain: Characterization with Coronary CT Angiography. Radiology. 260(2). 373–380. 20 indexed citations

14.

Bastarrika, Gorka, Christian Thilo, Gary Headden, et al.. (2009). Cardiac CT in the Assessment of Acute Chest Pain in the Emergency Department. American Journal of Roentgenology. 193(2). 397–409. 25 indexed citations

15.

Carr, Christine, et al.. (2009). 10: Does a Team Triage Service Affect Patient Satisfaction in an Urban Academic Emergency Department?. Annals of Emergency Medicine. 54(3). S4–S4. 1 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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