Steven M. Shea

1.7k total citations
70 papers, 1.3k citations indexed

About

Steven M. Shea is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Steven M. Shea has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Pulmonary and Respiratory Medicine and 17 papers in Surgery. Recurrent topics in Steven M. Shea's work include Advanced MRI Techniques and Applications (29 papers), Cardiac Imaging and Diagnostics (20 papers) and Prostate Cancer Diagnosis and Treatment (15 papers). Steven M. Shea is often cited by papers focused on Advanced MRI Techniques and Applications (29 papers), Cardiac Imaging and Diagnostics (20 papers) and Prostate Cancer Diagnosis and Treatment (15 papers). Steven M. Shea collaborates with scholars based in United States, Germany and Netherlands. Steven M. Shea's co-authors include Vibhas Deshpande, Debiao Li, J. Paul Finn, Gerhard Laub, Yiu‐Cho Chung, Orlando P. Simonetti, Jie Zheng, James Carr, E. Tryggestad and Russell K. Hales and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Steven M. Shea

70 papers receiving 1.3k citations

Peers

Steven M. Shea
Richard E. Wendt United States
Christian Geppert United States
Brian M. Dale United States
Zhifei Wen United States
Anja Brau United States
Yiu‐Cho Chung United States
Sven Zuehlsdorff United States
Karl K. Vigen United States
Anil N. Shetty United States
Richard E. Wendt United States
Steven M. Shea
Citations per year, relative to Steven M. Shea Steven M. Shea (= 1×) peers Richard E. Wendt

Countries citing papers authored by Steven M. Shea

Since Specialization
Citations

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

Fields of papers citing papers by Steven M. Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven M. Shea. 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 Steven M. Shea. The network helps show where Steven M. Shea may publish in the future.

Co-authorship network of co-authors of Steven M. Shea

This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Shea. A scholar is included among the top collaborators of Steven M. Shea 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 Steven M. Shea. Steven M. Shea 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.
Busch, Heinrich von, Robert Grimm, Henkjan Huisman, et al.. (2024). Deep Learning–based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets. Radiology Artificial Intelligence. 6(5). e230521–e230521. 3 indexed citations
2.
Patel, Hiten D., Whitney Halgrimson, Steven M. Shea, et al.. (2023). Variability in prostate cancer detection among radiologists and urologists using MRI fusion biopsy. SHILAP Revista de lepidopterología. 5(2). 304–312. 3 indexed citations
3.
4.
Patel, Hiten D., Steven M. Shea, Alex Gorbonos, et al.. (2022). MRI versus non-MRI diagnostic pathways before radical prostatectomy: Impact on nerve-sparing, positive surgical margins, and biochemical recurrence. Urologic Oncology Seminars and Original Investigations. 41(2). 104.e19–104.e27. 5 indexed citations
5.
Patel, Hiten D., Steven M. Shea, Alex Gorbonos, et al.. (2022). MRI vs Transrectal Ultrasound to Estimate Prostate Volume and PSAD: Impact on Prostate Cancer Detection. Urology. 171. 172–178. 15 indexed citations
7.
Fu, Yingli, Clifford R. Weiss, Dorota Kedziorek, et al.. (2019). Noninvasive Monitoring of Allogeneic Stem Cell Delivery with Dual-Modality Imaging-Visible Microcapsules in a Rabbit Model of Peripheral Arterial Disease. Stem Cells International. 2019. 1–10. 2 indexed citations
8.
Kuiken, Michelle Van, Robert H. Blackwell, Cara Joyce, et al.. (2018). Role of Multiparametric Magnetic Resonance Imaging Prostate Specific Antigen Density and PI-RADS™ Score in Predicting Up Staging in Men on Active Surveillance. Urology Practice. 6(2). 117–122. 2 indexed citations
9.
Harkenrider, Matthew M., Murat Sürücü, Steven M. Shea, et al.. (2017). Early outcomes and impact of a hybrid IC/IS applicator for a new MRI-based cervical brachytherapy program. Brachytherapy. 17(1). 187–193. 15 indexed citations
10.
Chu, Linda C., Kristin K. Porter, Celia P. Corona‐Villalobos, et al.. (2016). Evaluation of Left Ventricular Outflow Tract Obstruction With Four-Dimensional Phase Contrast Magnetic Resonance Imaging in Patients with Hypertrophic Cardiomyopathy—A Pilot Study. Journal of Computer Assisted Tomography. 40(6). 937–940. 4 indexed citations
11.
Kedziorek, Dorota, Meiyappan Solaiyappan, Piotr Walczak, et al.. (2013). Using C-Arm X-Ray Imaging to Guide Local Reporter Probe Delivery for Tracking Stem Cell Engraftment. Theranostics. 3(11). 916–926. 8 indexed citations
12.
Li, Yue, et al.. (2013). Image Corruption Detection in Diffusion Tensor Imaging for Post-Processing and Real-Time Monitoring. PLoS ONE. 8(10). e49764–e49764. 36 indexed citations
13.
Cocker, Myra, et al.. (2011). A New approach towards improved visualization of myocardial edema using T2‐weighted imaging: A cardiovascular magnetic resonance (CMR) study. Journal of Magnetic Resonance Imaging. 34(2). 286–292. 16 indexed citations
14.
Shea, Steven M., et al.. (2006). Coronary artery anomalies diagnosed by magnetic resonance angiography. Australasian Radiology. 50(2). 114–121. 7 indexed citations
15.
Omary, Reed A., Brian E. Schirf, Jordin D. Green, et al.. (2005). Catheter-directed MR Angiography and Cross-sectional Imaging for the Assessment of Renal Artery Stenosis. Journal of Vascular and Interventional Radiology. 16(2). 255–260. 6 indexed citations
16.
Deshpande, Vibhas, Steven M. Shea, & Debiao Li. (2003). Artifact reduction in true‐FISP imaging of the coronary arteries by adjusting imaging frequency. Magnetic Resonance in Medicine. 49(5). 803–809. 68 indexed citations
17.
McCarthy, Richard M., Steven M. Shea, Vibhas Deshpande, et al.. (2003). Coronary MR Angiography: True FISP Imaging Improved by Prolonging Breath Holds with Preoxygenation in Healthy Volunteers. Radiology. 227(1). 283–288. 26 indexed citations
18.
Shea, Steven M., Vibhas Deshpande, Yiu‐Cho Chung, & Debiao Li. (2002). Three‐dimensional true‐FISP imaging of the coronary arteries: Improved contrast with T2‐preparation. Journal of Magnetic Resonance Imaging. 15(5). 597–602. 86 indexed citations
19.
Deshpande, Vibhas, Steven M. Shea, Gerhard Laub, et al.. (2001). 3D magnetization‐prepared true‐FISP: A new technique for imaging coronary arteries. Magnetic Resonance in Medicine. 46(3). 494–502. 196 indexed citations
20.
Blustein, Jeffrey, et al.. (1996). The validity of hospital administrative data in monitoring variations in breast cancer surgery.. American Journal of Public Health. 86(2). 243–245. 30 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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