Sarah Rinehart

1.4k total citations
45 papers, 859 citations indexed

About

Sarah Rinehart is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Sarah Rinehart has authored 45 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Surgery and 14 papers in Biomedical Engineering. Recurrent topics in Sarah Rinehart's work include Cardiac Imaging and Diagnostics (26 papers), Coronary Interventions and Diagnostics (19 papers) and Advanced X-ray and CT Imaging (13 papers). Sarah Rinehart is often cited by papers focused on Cardiac Imaging and Diagnostics (26 papers), Coronary Interventions and Diagnostics (19 papers) and Advanced X-ray and CT Imaging (13 papers). Sarah Rinehart collaborates with scholars based in United States, Japan and Canada. Sarah Rinehart's co-authors include Szilárd Vörös, Zhen Qian, Gustavo Vázquez, Parag H. Joshi, Collin Fischer, Edward Hulten, Todd C. Villines, Anna Kalynych, Dimitri Karmpaliotis and Harold Carlson and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Sarah Rinehart

43 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Rinehart United States 12 604 499 331 188 184 45 859
Zhen Qian United States 12 572 0.9× 419 0.8× 286 0.9× 164 0.9× 184 1.0× 37 783
Munenori Okubo Japan 15 699 1.2× 760 1.5× 404 1.2× 258 1.4× 115 0.6× 43 943
Michiel A. de Graaf Netherlands 15 493 0.8× 320 0.6× 332 1.0× 185 1.0× 141 0.8× 49 684
Evangelos Tzolos United Kingdom 16 438 0.7× 257 0.5× 354 1.1× 164 0.9× 93 0.5× 50 734
Tairo Kurita Japan 19 596 1.0× 437 0.9× 601 1.8× 189 1.0× 146 0.8× 77 1.1k
Mohammad Alkhalil United Kingdom 18 494 0.8× 439 0.9× 620 1.9× 200 1.1× 47 0.3× 87 1.0k
J.E.B. Burchenal United States 13 291 0.5× 574 1.2× 711 2.1× 64 0.3× 101 0.5× 16 927
Markus Goeller Germany 18 881 1.5× 609 1.2× 1.1k 3.4× 122 0.6× 276 1.5× 36 1.5k
Hyung‐Bok Park South Korea 14 783 1.3× 648 1.3× 475 1.4× 154 0.8× 180 1.0× 33 1.0k
Ad den Boer Netherlands 18 1.2k 2.1× 1.2k 2.3× 773 2.3× 327 1.7× 185 1.0× 28 1.6k

Countries citing papers authored by Sarah Rinehart

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Rinehart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Rinehart

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Rinehart. A scholar is included among the top collaborators of Sarah Rinehart 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 Sarah Rinehart. Sarah Rinehart 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.
Rinehart, Sarah, et al.. (2024). Utility of Artificial Intelligence Plaque Quantification: Results of the DECODE Study. Journal of the Society for Cardiovascular Angiography & Interventions. 3(3). 101296–101296. 7 indexed citations
2.
3.
Narula, Jagat, Thomas Stuckey, Gaku Nakazawa, et al.. (2023). Primary Results Of The REVEALPLAQUE Study: A Prospective Quantitative Assessment Of AI-based CCTA Plaque Volume Compared With IVUS. Journal of cardiovascular computed tomography. 17(4). S39–S39. 2 indexed citations
4.
Annie, Frank, et al.. (2022). IMPACT OF ABLATION ON ALL-CAUSE MORTALITY IN PATIENTS WITH NEWLY DOCUMENTED TYPICAL ATRIAL FLUTTER DURING INDEX HOSPITALIZATION INSIGHTS FROM NATIONAL MULTICENTER DATABASE. Journal of the American College of Cardiology. 79(9). 180–180. 1 indexed citations
5.
Qian, Zhen, et al.. (2015). Coronary Artery Calcium. Academic Radiology. 22(9). 1128–1137. 5 indexed citations
6.
Kulp, Scott, Zhen Qian, Mani A. Vannan, Sarah Rinehart, & Dimitris Metaxas. (2014). Patient-specific aortic valve blood flow simulations. 939–942. 5 indexed citations
7.
8.
Mukhopadhyay, Anirban, Zhen Qian, Suchendra M. Bhandarkar, et al.. (2012). Morphological Analysis of the Left Ventricular Endocardial Surface and Its Clinical Implications. Lecture notes in computer science. 15(Pt 2). 502–510. 5 indexed citations
9.
Sharma, Abhinav, Sarah Rinehart, Zhen Qian, et al.. (2012). FIRST DEMONSTRATION THAT HEPATIC APOB100 AND INTESTINAL APOB48 CO-LOCALIZE WITH MACROPHAGES IN HUMAN CAROTID ATHEROSCLEROTIC PLAQUES. Journal of the American College of Cardiology. 59(13). E542–E542. 2 indexed citations
10.
Joshi, Parag H., Ben Kirkland, Gustavo Vázquez, et al.. (2012). The M235T single nucleotide polymorphism in the angiotensinogen gene is associated with coronary artery calcium in patients with a family history of coronary artery disease. Atherosclerosis. 226(2). 433–439. 9 indexed citations
11.
Vörös, Szilárd, Sarah Rinehart, Zhen Qian, et al.. (2011). Coronary Atherosclerosis Imaging by Coronary CT Angiography. JACC. Cardiovascular imaging. 4(5). 537–548. 259 indexed citations
12.
Qian, Zhen, et al.. (2011). A Lesion-Specific Coronary Artery Calcium Quantification Framework for the Prediction of Cardiac Events. IEEE Transactions on Information Technology in Biomedicine. 15(5). 673–680. 11 indexed citations
13.
Rinehart, Sarah, Zhen Qian, Gustavo Vázquez, et al.. (2011). Demonstration of the Glagov phenomenon in vivo by CT coronary angiography in subjects with elevated Framingham risk. International journal of cardiac imaging. 28(6). 1589–1599. 7 indexed citations
14.
Rinehart, Sarah, Tamio Teramoto, Teruhiko Matsushima, et al.. (2010). Abstract 16886: First Quantification of Intestinal-apoB48 and Hepatic-apoB100 Particles in Human Atherosclerotic Plaque by Dual Immunofluorescence Staining. Circulation. 122. 1 indexed citations
15.
16.
Qian, Zhen, et al.. (2010). Lesion- and vessel-specific coronary artery calcium scores are superior to whole-heart Agatston and volume scores in the diagnosis of obstructive coronary artery disease. Journal of cardiovascular computed tomography. 4(6). 391–399. 32 indexed citations
17.
Liu, Qingshan, et al.. (2010). Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines. Lecture notes in computer science. 13(Pt 1). 484–492. 11 indexed citations
18.
19.
Akram, Kamran, Sarah Rinehart, & Szilárd Vörös. (2008). Coronary arterial atherosclerotic plaque imaging by contrast-enhanced computed tomography: Fantasy or reality?. Journal of Nuclear Cardiology. 15(6). 818–829. 14 indexed citations
20.
Rinehart, Sarah, et al.. (1996). Quality Assurance in Anatomic Pathology: Automated SNOMED Coding. Journal of the American Medical Informatics Association. 3(4). 270–272. 11 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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