Dae C. Shin

752 total citations
34 papers, 364 citations indexed

About

Dae C. Shin is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dae C. Shin has authored 34 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Neurology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dae C. Shin's work include Optical Imaging and Spectroscopy Techniques (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers) and Neural dynamics and brain function (8 papers). Dae C. Shin is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (11 papers) and Neural dynamics and brain function (8 papers). Dae C. Shin collaborates with scholars based in United States, South Korea and Austria. Dae C. Shin's co-authors include Vasilis Z. Marmarelis, Robert E. Hampson, Dong Song, Theodore W. Berger, Sam A. Deadwyler, Rong Zhang, Greg A. Gerhardt, Takashi Tarumi, Ioan Opriş and Helena C. Chui and has published in prestigious journals such as Journal of Applied Physiology, IEEE Access and Molecules.

In The Last Decade

Dae C. Shin

33 papers receiving 358 citations

Peers

Dae C. Shin
Seongbeom Park South Korea
Baolei Xu China
Hui Jing Yu United States
Daniel Crepeau United States
Forrest Sheldon United States
Akinori Mitani United States
Da Un Jeong South Korea
Ganqin Du China
Yang Pan China
Xingyun Liu China
Seongbeom Park South Korea
Dae C. Shin
Citations per year, relative to Dae C. Shin Dae C. Shin (= 1×) peers Seongbeom Park

Countries citing papers authored by Dae C. Shin

Since Specialization
Citations

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

Fields of papers citing papers by Dae C. Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae C. Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Dae C. Shin. A scholar is included among the top collaborators of Dae C. 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 Dae C. Shin. Dae C. 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
1.
Kostoglou, Kyriaki, Patrice Brassard, Máx Chacón, et al.. (2024). Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet). Journal of Cerebral Blood Flow & Metabolism. 44(9). 1480–1514. 15 indexed citations
2.
Marmarelis, Vasilis Z., et al.. (2024). Data-based modeling of cerebral hemodynamics quantifies impairment of cerebral blood flow regulation in type-2 diabetes. Journal of Cerebral Blood Flow & Metabolism. 44(11). 1288–1301. 1 indexed citations
3.
Jeong, Dae‐Yong, et al.. (2023). Effect of chemical structural properties of chitooligosaccharides on the immune activity of macrophages. Macromolecular Research. 31(6). 569–582. 4 indexed citations
4.
Jeong, Dae‐Yong, et al.. (2023). Effects of Chitosan as a Growth Regulator of the Mealworm Tenebrio molitor. 28(1). 1–10. 1 indexed citations
5.
Shin, Dae C., et al.. (2023). Impaired dynamic cerebral autoregulation measured in the middle cerebral artery in patients with vertebrobasilar ischemia is associated with autonomic failure.. Journal of Stroke and Cerebrovascular Diseases. 33(1). 107454–107454. 4 indexed citations
6.
Marmarelis, Vasilis Z., Dae C. Shin, Jason W. Hamner, & Can Ozan Tan. (2022). Dynamic effects of cholinergic blockade upon cerebral blood flow autoregulation in healthy adults. Frontiers in Physiology. 13. 1015544–1015544. 1 indexed citations
7.
Marmarelis, Vasilis Z., Dae C. Shin, & Rong Zhang. (2021). The Dynamic Relationship Between Cortical Oxygenation and End-Tidal CO2 Transient Changes Is Impaired in Mild Cognitive Impairment Patients. Frontiers in Physiology. 12. 772456–772456. 4 indexed citations
8.
Marmarelis, Vasilis Z., Dae C. Shin, & Rong Zhang. (2020). Dysregulation of CO2-Driven Heart-Rate Chemoreflex Is Related Closely to Impaired CO2 Dynamic Vasomotor Reactivity in Mild Cognitive Impairment Patients. Journal of Alzheimer s Disease. 75(3). 855–870. 3 indexed citations
9.
Marmarelis, Vasilis Z., Dae C. Shin, Takashi Tarumi, & Rong Zhang. (2019). Comparing model‐based cerebrovascular physiomarkers with DTI biomarkers in MCI patients. Brain and Behavior. 9(8). e01356–e01356. 3 indexed citations
10.
Marmarelis, Vasilis Z., Dae C. Shin, Takashi Tarumi, & Rong Zhang. (2016). Comparison of Model-Based Indices of Cerebral Autoregulation and Vasomotor Reactivity Using Transcranial Doppler versus Near-Infrared Spectroscopy in Patients with Amnestic Mild Cognitive Impairment. Journal of Alzheimer s Disease. 56(1). 89–105. 24 indexed citations
11.
Shin, Dae C., et al.. (2016). Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Nonlinear Analysis. IEEE Transactions on Biomedical Engineering. 64(5). 1078–1088. 4 indexed citations
12.
Shin, Dae C., et al.. (2015). Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Linear Analysis. IEEE Access. 3. 2317–2332. 4 indexed citations
13.
Hajjar, Ihab, et al.. (2014). Assessment of Cerebrovascular Reactivity during Resting State Breathing and Its Correlation with Cognitive Function in Hypertension. Cerebrovascular Diseases. 38(1). 10–16. 24 indexed citations
14.
Hampson, Robert E., Dong Song, Ioan Opriş, et al.. (2013). Facilitation of memory encoding in primate hippocampus by a neuroprosthesis that promotes task-specific neural firing. Journal of Neural Engineering. 10(6). 66013–66013. 57 indexed citations
15.
Berger, Theodore W., Dong Song, Rosa H. M. Chan, et al.. (2012). Role of the Hippocampus in Memory Formation : Restorative Encoding Memory Integration Neural Device As a Cognitive Neural Prosthesis. IEEE Pulse. 3(5). 17–22. 11 indexed citations
16.
Marmarelis, Vasilis Z., Dae C. Shin, Dong Song, et al.. (2012). Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes. Journal of Computational Neuroscience. 34(1). 73–87. 24 indexed citations
17.
Hampson, Robert E., Dong Song, Rosa H. M. Chan, et al.. (2012). A Nonlinear Model for Hippocampal Cognitive Prosthesis: Memory Facilitation by Hippocampal Ensemble Stimulation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(2). 184–197. 46 indexed citations
18.
Jeong, Jeong‐Won, Dae C. Shin, & Vasilis Z. Marmarelis. (2009). Image fusion methodology for efficient interpretation of multiband images in 3D high‐resolution ultrasonic transmission tomography. International Journal of Imaging Systems and Technology. 19(4). 277–282. 2 indexed citations
19.
Jeong, Jeong‐Won, Dae C. Shin, Cesar E. Blanco, et al.. (2008). Differentiation of Cancerous Lesions in Excised Human Breast Specimens Using Multiband Attenuation Profiles From Ultrasonic Transmission Tomography. Journal of Ultrasound in Medicine. 27(3). 435–451. 20 indexed citations
20.
Shin, Dae C., et al.. (2007). Trends of Biometric and Test Techniques of K-NBTC. International Conference on Advanced Communication Technology. 20. 141–146.

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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