Seongho Seo

1.6k total citations
53 papers, 1.0k citations indexed

About

Seongho Seo is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Seongho Seo has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Psychiatry and Mental health and 12 papers in Physiology. Recurrent topics in Seongho Seo's work include Medical Imaging Techniques and Applications (16 papers), Alzheimer's disease research and treatments (9 papers) and Dementia and Cognitive Impairment Research (9 papers). Seongho Seo is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Alzheimer's disease research and treatments (9 papers) and Dementia and Cognitive Impairment Research (9 papers). Seongho Seo collaborates with scholars based in South Korea, Japan and United States. Seongho Seo's co-authors include Jae Sung Lee, Seung Kwan Kang, Dong Soo Lee, Kyeong Yun Kim, Donghwi Hwang, Jin Chul Paeng, Moo K. Chung, Houri K. Vorperian, Young Noh and Yu Kyeong Kim and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Seongho Seo

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seongho Seo South Korea 18 505 207 176 152 143 53 1.0k
Marie‐Louise Montandon Switzerland 18 726 1.4× 147 0.7× 231 1.3× 85 0.6× 192 1.3× 52 1.1k
Benjamin A. Thomas United Kingdom 11 985 2.0× 355 1.7× 175 1.0× 342 2.3× 210 1.5× 25 1.5k
D. Ros Spain 19 577 1.1× 211 1.0× 180 1.0× 137 0.9× 275 1.9× 72 1.4k
Lothar Spies Germany 18 597 1.2× 168 0.8× 432 2.5× 113 0.7× 118 0.8× 50 1.0k
Parnesh Raniga Australia 16 383 0.8× 336 1.6× 58 0.3× 376 2.5× 247 1.7× 46 1.0k
Jinsoo Uh United States 19 1.2k 2.4× 98 0.5× 101 0.6× 108 0.7× 462 3.2× 52 1.8k
Jeroen Verhaeghe Belgium 25 740 1.5× 305 1.5× 162 0.9× 225 1.5× 272 1.9× 111 1.9k
Mustapha Bouhrara United States 25 907 1.8× 99 0.5× 96 0.5× 179 1.2× 156 1.1× 77 1.5k
Sudeepti Southekal United States 16 527 1.0× 262 1.3× 117 0.7× 302 2.0× 144 1.0× 47 916
Ingrid C. Sluimer Netherlands 10 713 1.4× 249 1.2× 93 0.5× 239 1.6× 130 0.9× 10 1.4k

Countries citing papers authored by Seongho Seo

Since Specialization
Citations

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

Fields of papers citing papers by Seongho Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongho Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Seongho Seo. A scholar is included among the top collaborators of Seongho Seo 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 Seongho Seo. Seongho Seo 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.
Choi, Joon Young, Sang‐Keun Woo, Chae Hong Lim, et al.. (2024). Prognostic Value of Radiomic Analysis Using Pre- and Post-Treatment 18F-FDG-PET/CT in Patients with Laryngeal Cancer and Hypopharyngeal Cancer. Journal of Personalized Medicine. 14(1). 71–71. 2 indexed citations
2.
Na, Han Kyu, Seongho Seo, Jae Myeong Kang, et al.. (2024). Diverging Relationships among Amyloid, Tau, and Brain Atrophy in Early-Onset and Late-Onset Alzheimer’s Disease. Yonsei Medical Journal. 65(8). 434–434.
3.
4.
Hwang, Donghwi, Seung Kwan Kang, Kyeong Yun Kim, et al.. (2021). Data-driven respiratory phase-matched PET attenuation correction without CT. Physics in Medicine and Biology. 66(11). 115009–115009. 13 indexed citations
5.
Won, Jun Yeon, Haewook Park, Seung‐Eun Lee, et al.. (2021). Development and Initial Results of a Brain PET Insert for Simultaneous 7-Tesla PET/MRI Using an FPGA-Only Signal Digitization Method. IEEE Transactions on Medical Imaging. 40(6). 1579–1590. 38 indexed citations
6.
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
7.
Lee, Hyun Jeong, Seongho Seo, Kwang‐Pil Ko, et al.. (2021). Identification of Heterogeneous Subtypes of Mild Cognitive Impairment Using Cluster Analyses Based on PET Imaging of Tau and Astrogliosis. Frontiers in Aging Neuroscience. 12. 615467–615467. 14 indexed citations
8.
Cho, Jaelim, et al.. (2021). Association Between Visceral Fat and Brain Cortical Thickness in the Elderly: A Neuroimaging Study. Frontiers in Aging Neuroscience. 13. 694629–694629. 15 indexed citations
9.
Pak, Kyoungjune, Ju Won Seok, Hyun‐Yeol Nam, et al.. (2021). The association of DAT gene methylation with striatal DAT availability in healthy subjects. EJNMMI Research. 11(1). 58–58. 5 indexed citations
10.
Kang, Seung Kwan, Seongho Seo, Chulhee Lee, et al.. (2020). Robust nonlinear parameter estimation in tracer kinetic analysis using infinity norm regularization and particle swarm optimization. Physica Medica. 72. 60–72.
11.
Kang, Jae Myeong, Seongho Seo, Sang‐Yoon Lee, et al.. (2020). Association of Subcortical Structural Shapes With Tau, Amyloid, and Cortical Atrophy in Early-Onset and Late-Onset Alzheimer’s Disease. Frontiers in Aging Neuroscience. 12. 563559–563559. 8 indexed citations
12.
Cho, Jaelim, Young Noh, Sun‐Young Kim, et al.. (2020). Long-Term Ambient Air Pollution Exposures and Brain Imaging Markers in Korean Adults: The Environmental Pollution-Induced Neurological EFfects (EPINEF) Study. Environmental Health Perspectives. 128(11). 117006–117006. 46 indexed citations
13.
Lee, Eun Jeong, Ji-Young Kim, Jung Mi Park, et al.. (2020). Computed Tomography (CT) Protocols Associated with Cardiac and Bone Single-Photon Emission Computed Tomography/CT (SPECT/CT) in Korea. Nuclear Medicine and Molecular Imaging. 54(3). 139–146. 2 indexed citations
14.
Park, Jun‐Young, Sungwoo Bae, Seongho Seo, et al.. (2019). Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation. Scientific Reports. 9(1). 4223–4223. 54 indexed citations
15.
Jeon, Seun, Jae Myeong Kang, Seongho Seo, et al.. (2019). Topographical Heterogeneity of Alzheimer’s Disease Based on MR Imaging, Tau PET, and Amyloid PET. Frontiers in Aging Neuroscience. 11. 211–211. 38 indexed citations
16.
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
17.
Hwang, Donghwi, Kyeong Yun Kim, Seung Kwan Kang, et al.. (2018). Improving the Accuracy of Simultaneously Reconstructed Activity and Attenuation Maps Using Deep Learning. Journal of Nuclear Medicine. 59(10). 1624–1629. 123 indexed citations
18.
Seo, Seongho, Hyejin Kang, Hongyoon Choi, et al.. (2015). MRI-Based Attenuation Correction for PET/MRI Using Multiphase Level-Set Method. Journal of Nuclear Medicine. 57(4). 587–593. 25 indexed citations
19.
Seo, Seongho, Su Kim, Dong Soo Lee, & Jae Sung Lee. (2014). Recent advances in parametric neuroreceptor mapping with dynamic PET: basic concepts and graphical analyses. Neuroscience Bulletin. 30(5). 733–754. 7 indexed citations
20.
Chung, Moo K., Seongho Seo, Nagesh Adluru, & Houri K. Vorperian. (2011). Hot Spots Conjecture and Its Application to Modeling Tubular Structures. Lecture notes in computer science. 7009. 225–232. 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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