David Shin

2.6k total citations
64 papers, 1.9k citations indexed

About

David Shin is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Shin has authored 64 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 16 papers in Cardiology and Cardiovascular Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Shin's work include Advanced MRI Techniques and Applications (11 papers), Functional Brain Connectivity Studies (6 papers) and Heart Failure Treatment and Management (5 papers). David Shin is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Functional Brain Connectivity Studies (6 papers) and Heart Failure Treatment and Management (5 papers). David Shin collaborates with scholars based in United States, Netherlands and Japan. David Shin's co-authors include Marc Goldstein, Peter N. Schlegel, Joseph S. Rossi, Wendy Gattis Stough, Thomas T. Liu, Shantanu Sinha, V. Reggie Edgerton, John A. Hodgson, Gregg C. Fonarow and Mihai Gheorghiade and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Journal of Bone and Joint Surgery.

In The Last Decade

David Shin

62 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Shin United States 24 565 516 492 257 251 64 1.9k
Peter Clarkson United Kingdom 22 525 0.9× 2.2k 4.2× 628 1.3× 286 1.1× 188 0.7× 37 3.6k
Denis Mariano‐Goulart France 28 250 0.4× 296 0.6× 409 0.8× 597 2.3× 212 0.8× 140 2.5k
Chin Lin Taiwan 27 181 0.3× 495 1.0× 293 0.6× 312 1.2× 179 0.7× 118 2.2k
Leon Bax Netherlands 12 228 0.4× 190 0.4× 384 0.8× 137 0.5× 180 0.7× 15 1.4k
Ernest M. Graham United States 26 967 1.7× 130 0.3× 198 0.4× 342 1.3× 407 1.6× 93 3.0k
Anne Charloux France 28 1.5k 2.6× 1.3k 2.5× 588 1.2× 203 0.8× 276 1.1× 101 3.4k
Hua Ting Taiwan 20 231 0.4× 241 0.5× 107 0.2× 149 0.6× 107 0.4× 89 1.2k
Allan Bernstein United States 25 728 1.3× 609 1.2× 219 0.4× 164 0.6× 131 0.5× 49 2.7k
M. De Roo Belgium 21 314 0.6× 226 0.4× 595 1.2× 505 2.0× 149 0.6× 74 2.1k
Edyta Szurowska Poland 18 222 0.4× 161 0.3× 284 0.6× 542 2.1× 121 0.5× 144 1.6k

Countries citing papers authored by David Shin

Since Specialization
Citations

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

Fields of papers citing papers by David Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Shin

This figure shows the co-authorship network connecting the top 25 collaborators of David Shin. A scholar is included among the top collaborators of David Shin 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 David Shin. David Shin 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
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Zeighami, Yashar, Justine Y. Hansen, Daniel Martins, et al.. (2025). Transcriptional and Neurochemical Signatures of Cerebral Blood Flow Alterations in Individuals With Schizophrenia or at Clinical High Risk for Psychosis. Biological Psychiatry. 98(2). 144–155. 2 indexed citations
4.
Shin, David, Olivier Q. Groot, Stein J. Janssen, et al.. (2025). Hospital-related healthcare expenditure of impending versus completed pathological femur fractures: a propensity score matched study of 265 patients. Acta Orthopaedica. 96. 401–410.
5.
Hussein, Ramy, David Shin, Moss Zhao, et al.. (2023). Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks. Medical Image Analysis. 93. 103072–103072. 3 indexed citations
6.
Han, Misung, Cynthia T. Chin, Kenneth T. Gao, et al.. (2023). Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based Image Reconstruction at 3T. Pain Medicine. 24(Supplement_1). S149–S159. 3 indexed citations
7.
Kesavadas, Chandrasekharan, et al.. (2023). Experimenting with ASL-based arterialized cerebral blood volume as a novel imaging biomarker in grading glial neoplasms. The Neuroradiology Journal. 36(6). 728–735. 1 indexed citations
8.
Ranganathan, Noopur, David Shin, Hamid Ghaednia, et al.. (2023). Using machine learning in the prediction of symptomatic venous thromboembolism following ankle fracture. Foot and Ankle Surgery. 30(2). 110–116. 5 indexed citations
9.
Lans, Amanda, et al.. (2022). Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review. Artificial Intelligence in Medicine. 132. 102396–102396. 13 indexed citations
10.
Karhade, Aditya V., Ophélie Lavoie-Gagné, Nicole Agaronnik, et al.. (2021). Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?. The Spine Journal. 22(2). 272–277. 25 indexed citations
11.
Vanniyasingam, Thuva, et al.. (2021). Postoperative pain after intrathecal analgesia in laparoscopic liver resection: a retrospective chart review. Minerva Anestesiologica. 87(8). 856–863. 3 indexed citations
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Katakam, Akhil, David Shin, Charles R. Bragdon, et al.. (2020). Obesity Increases Risk of Failure to Achieve the 1-Year PROMIS PF-10a Minimal Clinically Important Difference Following Total Joint Arthroplasty. The Journal of Arthroplasty. 36(7). S184–S191. 19 indexed citations
14.
Shin, David, İbrahim Burak Özyurt, Gregory G. Brown, Christine Fennema‐Notestine, & Thomas T. Liu. (2015). The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) data repository. NeuroImage. 124(Pt B). 1202–1207. 3 indexed citations
15.
Clark, Lindsay R., Daniel A. Nation, Christina E. Wierenga, et al.. (2015). Elevated cerebrovascular resistance index is associated with cognitive dysfunction in the very-old. Alzheimer s Research & Therapy. 7(1). 3–3. 17 indexed citations
16.
Sinha, Shantanu, David Shin, John A. Hodgson, Ryuta Kinugasa, & V. Reggie Edgerton. (2012). Computer‐controlled, MR‐compatible foot‐pedal device to study dynamics of the muscle tendon complex under isometric, concentric, and eccentric contractions. Journal of Magnetic Resonance Imaging. 36(2). 498–504. 23 indexed citations
17.
Shin, David, Thomas T. Liu, Eric C. Wong, Ajit Shankaranarayanan, & Youngkyoo Jung. (2012). Pseudocontinuous arterial spin labeling with optimized tagging efficiency. Magnetic Resonance in Medicine. 68(4). 1135–1144. 34 indexed citations
18.
Ortiz‐Pérez, Jose T., David Shin, & Nalini M. Rajamannan. (2006). Approach to the patient with bicuspid aortic valve and ascending aorta aneurysm. Current Treatment Options in Cardiovascular Medicine. 8(6). 461–467. 6 indexed citations
19.
Shin, David, Larry I. Lipshultz, Marc Goldstein, et al.. (2005). Herniorrhaphy With Polypropylene Mesh Causing Inguinal Vasal Obstruction. Annals of Surgery. 241(4). 553–558. 145 indexed citations
20.
Shin, David. (2005). Treatment Options for the Infertile Male With Cancer. JNCI Monographs. 2005(34). 48–50. 33 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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