Sangwon Lee

948 total citations
46 papers, 546 citations indexed

About

Sangwon Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Radiation. According to data from OpenAlex, Sangwon Lee has authored 46 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Neurology and 8 papers in Radiation. Recurrent topics in Sangwon Lee's work include Medical Imaging Techniques and Applications (15 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Radiation Detection and Scintillator Technologies (8 papers). Sangwon Lee is often cited by papers focused on Medical Imaging Techniques and Applications (15 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Radiation Detection and Scintillator Technologies (8 papers). Sangwon Lee collaborates with scholars based in South Korea, United States and Australia. Sangwon Lee's co-authors include Mijin Yun, Byeong‐Yun Oh, Jae‐Min Myoung, Moon‐Ho Ham, Min‐Chang Jeong, Phil Hyu Lee, Byoung Seok Ye, Young H. Sohn, Seok Jong Chung and Han Soo Yoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

Sangwon Lee

37 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sangwon Lee South Korea 13 133 126 116 111 80 46 546
Hong-Chang Yang Taiwan 10 33 0.2× 73 0.6× 40 0.3× 42 0.4× 24 0.3× 38 443
K. Sugimoto Japan 12 104 0.8× 58 0.5× 41 0.4× 79 0.7× 108 1.4× 41 498
K. Hansen Denmark 14 88 0.7× 97 0.8× 49 0.4× 339 3.1× 6 0.1× 21 849
Mite Mijalkov Sweden 12 36 0.3× 124 1.0× 50 0.4× 18 0.2× 5 0.1× 25 728
Elmar Laistler Austria 17 56 0.4× 523 4.2× 30 0.3× 70 0.6× 11 0.1× 57 744
Jong‐Min Kim South Korea 9 26 0.2× 75 0.6× 119 1.0× 176 1.6× 12 0.1× 30 390
Benjamin A.E. Hunt United Kingdom 16 16 0.1× 269 2.1× 29 0.3× 34 0.3× 20 0.3× 26 1.2k
Wuwei Ren Switzerland 12 46 0.3× 142 1.1× 24 0.2× 47 0.4× 6 0.1× 31 378
Anthony R. Wright Australia 13 244 1.8× 12 0.1× 15 0.1× 130 1.2× 93 1.2× 28 937
Makoto Kotani Japan 12 36 0.3× 79 0.6× 6 0.1× 45 0.4× 18 0.2× 34 727

Countries citing papers authored by Sangwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sangwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangwon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sangwon Lee. A scholar is included among the top collaborators of Sangwon Lee 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 Sangwon Lee. Sangwon Lee 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.
Lee, Sangwon, et al.. (2025). Automated quantification of brain PET in PET/CT using deep learning-based CT-to-MR translation: a feasibility study. European Journal of Nuclear Medicine and Molecular Imaging. 52(8). 2959–2967.
2.
Lee, Young‐gun, et al.. (2025). Clinical Implications of an Integrated Clinical and Biological Staging Scheme for Alzheimer’s Disease. Journal of Clinical Neurology. 21(6). 502–502.
3.
Lee, Sangwon, et al.. (2025). Deep Learning–Based Precontrast CT Parcellation for MRI-Free Brain Amyloid PET Quantification. Clinical Nuclear Medicine. 50(5). e262–e270.
4.
Kim, Gaeun, Hyerin Jeong, Kyung‐Tae Kim, et al.. (2025). The Pre-clinical Safety of Graphene-based Electrodes Implanted on Rat Cerebral Cortex. Experimental Neurobiology. 34(5). 214–223.
5.
6.
Lee, Sangwon, et al.. (2024). Distinct changes in brain metabolism in patients with dementia and hearing loss. Brain and Behavior. 14(1). e3374–e3374. 2 indexed citations
7.
Yoo, Han Soo, Seong Ho Jeong, Sangwon Lee, et al.. (2022). Interrelation of striatal dopamine, brain metabolism and cognition in dementia with Lewy bodies. Brain. 145(12). 4448–4458. 18 indexed citations
8.
Kim, Dongwoo, et al.. (2021). Segmentation of white matter hyperintensities on 18F-FDG PET/CT images with a generative adversarial network. European Journal of Nuclear Medicine and Molecular Imaging. 48(11). 3422–3431. 8 indexed citations
9.
Chung, Seok Jong, Sangwon Lee, Han Soo Yoo, et al.. (2021). Different patterns of β-amyloid deposition in patients with Alzheimer's disease according to the presence of mild parkinsonism. Neurobiology of Aging. 101. 199–206. 2 indexed citations
10.
Lee, Ha Eun, et al.. (2020). Multi-slice representational learning of convolutional neural network for Alzheimer’s disease classification using positron emission tomography. BioMedical Engineering OnLine. 19(1). 70–70. 17 indexed citations
11.
Lee, Sangwon, et al.. (2020). Semantic Segmentation of White Matter in FDG-PET Using Generative Adversarial Network. Journal of Digital Imaging. 33(4). 816–825. 26 indexed citations
12.
Lee, Yang Hyun, Sangwon Lee, Seok Jong Chung, et al.. (2020). The pattern of FP-CIT PET in pure white matter hyperintensities–related vascular parkinsonism. Parkinsonism & Related Disorders. 82. 1–6. 6 indexed citations
13.
Chung, Seok Jong, John Hoon Rim, Sangwon Lee, et al.. (2020). Gut microbiota-derived metabolite trimethylamine N-oxide as a biomarker in early Parkinson's disease. Nutrition. 83. 111090–111090. 55 indexed citations
14.
Lee, Sangwon, et al.. (2019). Performance evaluation of a small animal PET scanner a high level of multiplexing and charge-signal transmission. Physics in Medicine and Biology. 64(4). 45015–45015. 7 indexed citations
15.
Ye, Byoung Seok, Sangwon Lee, Han Soo Yoo, et al.. (2019). Distinguishing between dementia with Lewy bodies and Alzheimer's disease using metabolic patterns. Neurobiology of Aging. 87. 11–17. 18 indexed citations
16.
Choi, Yong Seok, et al.. (2018). An improved time over threshold method using bipolar signals. Physics in Medicine and Biology. 63(13). 135002–135002. 12 indexed citations
17.
Lee, Sangwon, Yong Choi, Jihoon Kang, & Jin Ho Jung. (2017). Development of a multiplexed readout with high position resolution for positron emission tomography. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 850. 42–47. 12 indexed citations
18.
Jeong, Min‐Chang, Byeong‐Yun Oh, Moon‐Ho Ham, Sangwon Lee, & Jae‐Min Myoung. (2007). ZnO‐Nanowire‐Inserted GaN/ZnO Heterojunction Light‐Emitting Diodes. Small. 3(4). 568–572. 134 indexed citations
19.
Hwang, In-Chul, et al.. (2002). A digitally controlled phase-locked loop with fast locking scheme for clock synthesis application. 168–169,. 26 indexed citations
20.
Lee, Sangwon, et al.. (1992). Ultrasensitive Differential Pulse Polarographic Measurement of Platinum. Journal of the Korean Chemical Society. 36(4). 616–617. 3 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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