Millie Gomez

3.2k total citations
13 papers, 434 citations indexed

About

Millie Gomez is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Millie Gomez has authored 13 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 5 papers in Biomedical Engineering. Recurrent topics in Millie Gomez's work include Cardiac Imaging and Diagnostics (13 papers), Coronary Interventions and Diagnostics (5 papers) and Advanced X-ray and CT Imaging (5 papers). Millie Gomez is often cited by papers focused on Cardiac Imaging and Diagnostics (13 papers), Coronary Interventions and Diagnostics (5 papers) and Advanced X-ray and CT Imaging (5 papers). Millie Gomez collaborates with scholars based in United States, Canada and Japan. Millie Gomez's co-authors include James K. Min, Daniel S. Berman, Troy LaBounty, Fay Y. Lin, Allison Dunning, Sunaina Koduru, Tracy Q. Callister, Jonathon Leipsic, Leslee J. Shaw and Jonathan W. Weinsaft and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Journal of Roentgenology.

In The Last Decade

Millie Gomez

13 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Millie Gomez United States 8 399 184 180 151 37 13 434
Virginia Beltrama Italy 12 322 0.8× 125 0.7× 194 1.1× 157 1.0× 46 1.2× 15 442
Felix Keng Singapore 8 272 0.7× 141 0.8× 183 1.0× 64 0.4× 16 0.4× 15 327
Carlos A van Mieghem Netherlands 5 288 0.7× 327 1.8× 367 2.0× 87 0.6× 34 0.9× 6 511
Khristine Ghemigian United States 8 225 0.6× 168 0.9× 191 1.1× 68 0.5× 54 1.5× 9 323
Sherif Iskander United States 8 555 1.4× 179 1.0× 318 1.8× 205 1.4× 24 0.6× 9 643
Thomas H. Good United States 7 230 0.6× 219 1.2× 282 1.6× 77 0.5× 36 1.0× 9 381
Marcus Flather United Kingdom 5 260 0.7× 131 0.7× 152 0.8× 71 0.5× 14 0.4× 5 288
John D. Friedman United States 7 863 2.2× 255 1.4× 469 2.6× 238 1.6× 16 0.4× 9 910
Nili Zafrir Israel 13 268 0.7× 120 0.7× 346 1.9× 64 0.4× 48 1.3× 55 489
Joan García‐Picart Spain 9 114 0.3× 132 0.7× 143 0.8× 42 0.3× 38 1.0× 32 238

Countries citing papers authored by Millie Gomez

Since Specialization
Citations

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

Fields of papers citing papers by Millie Gomez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Millie Gomez

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

All Works

13 of 13 papers shown
1.
Nakazato, Ryo, Reza Arsanjani, Aryeh Shaleṿ, et al.. (2016). Diagnostic Accuracy, Image Quality, and Patient Comfort for Coronary CT Angiography Performed Using Iso-Osmolar versus Low-Osmolar Iodinated Contrast. Academic Radiology. 23(6). 743–751. 5 indexed citations
2.
Heo, Ran, Ashley E. Giambrone, Millie Gomez, et al.. (2014). INTEROBSERVER AND INTRAOBSERVER REPRODUCIBILITY OF AORTIC VALVAR COMPLEX MEASUREMENTS AND TRANSCATHETER AORTIC VALVE REPLACEMENT DEPLOYMENT ANGLES BY MULTIDETECTOR COMPUTED TOMOGRAPHY. Journal of the American College of Cardiology. 63(12). A1216–A1216. 1 indexed citations
3.
LaBounty, Troy, Geoffrey Bergman, S. Chiu Wong, et al.. (2014). Effectiveness of a low contrast load CT angiography protocol in octogenarians and nonagenarians being evaluated for transcatheter aortic valve replacement. Clinical Imaging. 39(5). 815–819. 7 indexed citations
4.
Nakazato, Ryo, Aryeh Shaleṿ, Joon‐Hyung Doh, et al.. (2013). Aggregate Plaque Volume by Coronary Computed Tomography Angiography Is Superior and Incremental to Luminal Narrowing for Diagnosis of Ischemic Lesions of Intermediate Stenosis Severity. Journal of the American College of Cardiology. 62(5). 460–467. 108 indexed citations
5.
Min, James K., Reza Arsanjani, Daniele Andreini, et al.. (2013). Rationale and design of the ViCTORY (Validation of an Intracycle CT Motion CORrection Algorithm for Diagnostic AccuracY) trial. Journal of cardiovascular computed tomography. 7(3). 200–206. 24 indexed citations
6.
Arsanjani, Reza, Ryo Nakazato, Aryeh Shaleṿ, et al.. (2013). DIAGNOSTIC ACCURACY, IMAGE QUALITY AND PATIENT COMFORT FOR CORONARY CT ANGIOGRAPHY PERFORMED USING LOW VERSUS HIGH IODINE CONTENT CONTRAST: A PROSPECTIVE MULTICENTER RANDOMIZED CONTROLLED TRIAL. Journal of the American College of Cardiology. 61(10). E1104–E1104. 1 indexed citations
7.
Lin, Fay Y., Allison Dunning, Millie Gomez, et al.. (2013). Extent and severity of coronary artery disease by coronary CT angiography is associated with elevated left ventricular diastolic pressures and worsening diastolic function. Journal of cardiovascular computed tomography. 7(5). 289–296.e1. 25 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., Lisa Rosenbaum, Robert J. Kim, et al.. (2012). Cardiologist Concordance With the American College of Cardiology Appropriate Use Criteria for Cardiac Testing in Patients With Coronary Artery Disease. The American Journal of Cardiology. 110(3). 337–344. 8 indexed citations
10.
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
11.
LaBounty, Troy, Jonathon Leipsic, Rohan Poulter, et al.. (2011). THE IMPACT OF REDUCED 80 KVP TUBE VOLTAGE ON CORONARY CT ANGIOGRAPHY BY CT PLATFORM: RESULTS FROM A PROSPECTIVE, MULTICENTER, MULTIVENDOR RANDOMIZED TRIAL. Journal of the American College of Cardiology. 57(14). E671–E671. 1 indexed citations
12.
Lin, Fay Y., Leslee J. Shaw, Allison Dunning, et al.. (2011). Mortality Risk in Symptomatic Patients With Nonobstructive Coronary Artery Disease. Journal of the American College of Cardiology. 58(5). 510–519. 146 indexed citations
13.
LaBounty, Troy, Jonathon Leipsic, Rohan Poulter, et al.. (2011). Coronary CT Angiography of Patients With a Normal Body Mass Index Using 80 kVp Versus 100 kVp: A Prospective, Multicenter, Multivendor Randomized Trial. American Journal of Roentgenology. 197(5). W860–W867. 46 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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