Seong A. Shin

1.4k total citations
41 papers, 985 citations indexed

About

Seong A. Shin is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Seong A. Shin has authored 41 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 12 papers in Cognitive Neuroscience and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Seong A. Shin's work include Dementia and Cognitive Impairment Research (14 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Seong A. Shin is often cited by papers focused on Dementia and Cognitive Impairment Research (14 papers), Medical Imaging Techniques and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Seong A. Shin collaborates with scholars based in South Korea, Puerto Rico and Ethiopia. Seong A. Shin's co-authors include Yu Kyeong Kim, Jun‐Young Lee, Min Soo Byun, Dong Young Lee, Dahyun Yi, So Yeon Jeon, Bo Kyung Sohn, Young Seok Park, Ji‐Youn Jung and Hae Nim Lee and has published in prestigious journals such as Neurology, Scientific Reports and Progress in Neurobiology.

In The Last Decade

Seong A. Shin

39 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong A. Shin South Korea 18 203 183 182 148 117 41 985
Shruti Mishra India 16 428 2.1× 239 1.3× 309 1.7× 138 0.9× 149 1.3× 49 1.2k
Abdullah Al‐Asmi Oman 19 96 0.5× 329 1.8× 115 0.6× 155 1.0× 275 2.4× 94 1.3k
Xiaocao Liu China 11 165 0.8× 70 0.4× 80 0.4× 129 0.9× 112 1.0× 52 818
Xiang Liu China 21 207 1.0× 74 0.4× 196 1.1× 88 0.6× 270 2.3× 94 1.3k
Mahsa Dolatshahi Iran 18 180 0.9× 84 0.5× 184 1.0× 118 0.8× 92 0.8× 42 887
Yong Huang China 29 527 2.6× 258 1.4× 218 1.2× 151 1.0× 279 2.4× 214 2.5k
Takuya Watanabe Japan 20 318 1.6× 50 0.3× 294 1.6× 118 0.8× 60 0.5× 77 1.5k
Moeko Noguchi‐Shinohara Japan 21 346 1.7× 256 1.4× 446 2.5× 81 0.5× 96 0.8× 62 1.3k
Chizuko Watanabe Japan 18 239 1.2× 103 0.6× 298 1.6× 53 0.4× 46 0.4× 65 878

Countries citing papers authored by Seong A. Shin

Since Specialization
Citations

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

Fields of papers citing papers by Seong A. Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seong A. Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Seong A. Shin. A scholar is included among the top collaborators of Seong A. 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 Seong A. Shin. Seong A. 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.
Kang, Seung Kwan, et al.. (2024). Accurate Automated Quantification of Dopamine Transporter PET Without MRI Using Deep Learning-based Spatial Normalization. Nuclear Medicine and Molecular Imaging. 58(6). 354–363.
2.
Kang, Seung Kwan, Ji Yeon Chung, Seong A. Shin, et al.. (2024). Clinical Performance Evaluation of an Artificial Intelligence-Powered Amyloid Brain PET Quantification Method. Nuclear Medicine and Molecular Imaging. 58(4). 246–254. 4 indexed citations
3.
Moon, So Young, Seong A. Shin, Jee Hyang Jeong, et al.. (2022). Impact of a multidomain lifestyle intervention on regional spontaneous brain activity. Frontiers in Aging Neuroscience. 14. 926077–926077. 7 indexed citations
4.
5.
Kang, Seung Kwan, Seong A. Shin, Seongho Seo, et al.. (2021). Deep learning-Based 3D inpainting of brain MR images. Scientific Reports. 11(1). 1673–1673. 24 indexed citations
6.
Shin, Seong A., et al.. (2020). Phytochemicals as Anti-Inflammatory Agents in Animal Models of Prevalent Inflammatory Diseases. Molecules. 25(24). 5932–5932. 112 indexed citations
7.
Kim, Jee Wook, Min Soo Byun, Dahyun Yi, et al.. (2020). Association of moderate alcohol intake with in vivo amyloid-beta deposition in human brain: A cross-sectional study. PLoS Medicine. 17(2). e1003022–e1003022. 31 indexed citations
8.
Kim, Jee Wook, Min Soo Byun, Dahyun Yi, et al.. (2020). Serum Uric Acid, Alzheimer-Related Brain Changes, and Cognitive Impairment. Frontiers in Aging Neuroscience. 12. 160–160. 27 indexed citations
9.
Lee, Seung Hoon, Min Soo Byun, Jun Ho Lee, et al.. (2020). Sex-Specific Association of Lifetime Body Mass Index with Alzheimer’s Disease Neuroimaging Biomarkers. Journal of Alzheimer s Disease. 75(3). 767–777. 7 indexed citations
10.
Lee, Ga‐Won, Jun Ho Lee, Min Soo Byun, et al.. (2020). Multiparity, Brain Atrophy, and Cognitive Decline. Frontiers in Aging Neuroscience. 12. 159–159. 17 indexed citations
11.
Shin, Chaewon, Jee‐Young Lee, Y. K. Kim, et al.. (2019). Cognitive decline in association with hyposmia in idiopathic rapid eye movement sleep behavior disorder: a prospective 2‐year follow‐up study. European Journal of Neurology. 26(11). 1417–1420. 7 indexed citations
12.
Kang, Seung Kwan, Seongho Seo, Seong A. Shin, et al.. (2018). Adaptive template generation for amyloid PET using a deep learning approach. Human Brain Mapping. 39(9). 3769–3778. 51 indexed citations
13.
Park, Soowon, Seong A. Shin, Ji Yeon Lee, et al.. (2018). A quick test of cognitive speed in older adults with Alzheimer's disease and mild cognitive impairment: A preliminary behavioral and brain imaging study. Psychiatry Research Neuroimaging. 280. 30–38. 5 indexed citations
14.
Schultz, Michael, Seong A. Shin, & Kirsten J. Coppell. (2017). Awareness of coeliac disease among chefs and cooks depends on the level and place of training.. PubMed. 26(4). 719–724. 10 indexed citations
15.
Shin, Jung Hwan, Seong A. Shin, Jee‐Young Lee, et al.. (2017). Precuneus degeneration and isolated apathy in patients with Parkinson’s disease. Neuroscience Letters. 653. 250–257. 25 indexed citations
16.
17.
Shin, Seong A., Soowon Park, Ji-Hye Lee, et al.. (2015). The Korean Size/Weight Attribute Test: A Semantic Knowledge Test for Korean Older Adults and Brain-Imaging Evidence. Journal of Alzheimer s Disease. 49(2). 377–386. 4 indexed citations
18.
Shin, Jung-Won, Kon Chu, Seong A. Shin, et al.. (2015). Clinical Applications of Simultaneous PET/MR Imaging Using (R)-[11C]-Verapamil with Cyclosporin A: Preliminary Results on a Surrogate Marker of Drug-Resistant Epilepsy. American Journal of Neuroradiology. 37(4). 600–606. 25 indexed citations
19.
Lim, Jae‐Sung, Seong A. Shin, Jee‐Young Lee, et al.. (2015). Neural substrates of rapid eye movement sleep behavior disorder in Parkinson's disease. Parkinsonism & Related Disorders. 23. 31–36. 51 indexed citations
20.
Shin, Seong A., et al.. (2010). Implementation of Intelligent Image Surveillance System based Context. Journal of the Institute of Electronics Engineers of Korea. 47(3). 11–22.

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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