Suk Hyun Lee

406 total citations
28 papers, 177 citations indexed

About

Suk Hyun Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Suk Hyun Lee has authored 28 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Suk Hyun Lee's work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Suk Hyun Lee is often cited by papers focused on Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Suk Hyun Lee collaborates with scholars based in South Korea, Nigeria and United States. Suk Hyun Lee's co-authors include Jin‐Sook Ryu, Dong Kyun Rah, Won Jai Lee, Jong Jin Lee, Hyo Sang Lee, Sangwon Han, Jin Woo Song, Kyungho Choi, Sun Young Chae and Seung Jun Oh and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Suk Hyun Lee

24 papers receiving 175 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suk Hyun Lee South Korea 8 60 46 42 37 25 28 177
Mirela Gherghe Romania 9 37 0.6× 27 0.6× 82 2.0× 51 1.4× 27 1.1× 38 257
Zhongmin Peng China 10 69 1.1× 117 2.5× 25 0.6× 63 1.7× 28 1.1× 35 226
Ariel Jaffe United States 11 53 0.9× 23 0.5× 58 1.4× 97 2.6× 23 0.9× 24 299
C. T. Germer Germany 10 50 0.8× 51 1.1× 66 1.6× 161 4.4× 21 0.8× 37 313
Anuradha Calicut Kini Rao India 9 52 0.9× 20 0.4× 14 0.3× 43 1.2× 28 1.1× 28 167
Sylwia Wiśniowska‐Śmiałek Poland 12 33 0.6× 36 0.8× 12 0.3× 109 2.9× 79 3.2× 49 343
Jan Pieter Pennings Netherlands 9 63 1.1× 54 1.2× 78 1.9× 60 1.6× 20 0.8× 20 247
Dianjun Wang China 7 153 2.5× 149 3.2× 26 0.6× 58 1.6× 70 2.8× 18 318
Bumjin Lim South Korea 11 30 0.5× 123 2.7× 22 0.5× 64 1.7× 43 1.7× 51 250

Countries citing papers authored by Suk Hyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Suk Hyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suk Hyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Suk Hyun Lee. A scholar is included among the top collaborators of Suk Hyun 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 Suk Hyun Lee. Suk Hyun 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.
Kim, Seon‐Ok, et al.. (2025). Three-Dimensional β-Amyloid Burden Correlation Between the Eye and Brain in Alzheimer's Disease Mice Using Light-Sheet Fluorescence Microscopy. Investigative Ophthalmology & Visual Science. 66(3). 34–34.
2.
Kim, Dongwoo, Ji Young Woo, Ik Yang, et al.. (2025). Comparison of CNNs and Transformer Models in Diagnosing Bone Metastases in Bone Scans Using Grad-CAM. Clinical Nuclear Medicine. 50(7). 596–604.
3.
Lee, Suk Hyun, et al.. (2024). Incidental Coronary Artery Calcification Detected on Preoperative PET/CT: Implications for Postoperative Mortality. Nuclear Medicine and Molecular Imaging. 58(7). 459–460.
4.
5.
Kim, Soo-Jong, et al.. (2023). ChatGPT-assisted deep learning for diagnosing bone metastasis in bone scans: Bridging the AI Gap for Clinicians. Heliyon. 9(12). e22409–e22409. 9 indexed citations
6.
Lee, Suk Hyun, et al.. (2023). Second Wave, Late-Stage Neuroinflammation in Cleared Brains of Aged 5xFAD Alzheimer’s Mice Detected by Macrolaser Light Sheet Microscopy Imaging. International Journal of Molecular Sciences. 24(23). 17058–17058. 3 indexed citations
7.
Yoon, Hee‐Young, et al.. (2021). 18F-FDG PET/CT predicts acute exacerbation in idiopathic pulmonary fibrosis after thoracic surgery. BMC Pulmonary Medicine. 21(1). 294–294. 5 indexed citations
8.
Han, Sangwon, et al.. (2021). A practical individualized radiation precaution based on the dose rate at release time after inpatient 131I ablation therapy. PLoS ONE. 16(5). e0251627–e0251627. 3 indexed citations
9.
Lee, Hyung Ju, et al.. (2021). Prone position [18F]FDG PET/CT to reduce respiratory motion artefacts in the evaluation of lung nodules. European Radiology. 31(7). 4606–4614. 5 indexed citations
10.
Kim, Dongwoo, Narae Lee, Suk Hyun Lee, et al.. (2021). Metabolic tumour volume on 18F-FDG PET/CT predicts extended pathological T stages in patients with renal cell carcinoma at staging. Scientific Reports. 11(1). 23486–23486. 2 indexed citations
11.
Lee, Suk Hyun, Sang Ju Lee, Hyori Kim, et al.. (2020). Feasibility of real-time in vivo 89Zr-DFO-labeled CAR T-cell trafficking using PET imaging. PLoS ONE. 15(1). e0223814–e0223814. 35 indexed citations
12.
Lee, Suk Hyun, Hyo Sang Lee, Soo-Jong Kim, et al.. (2018). Is 18F-FDG PET/CT useful for the differential diagnosis of solitary pulmonary nodules in patients with idiopathic pulmonary fibrosis?. Annals of Nuclear Medicine. 32(7). 492–498. 7 indexed citations
13.
Lee, Suk Hyun, Sung Hoon Kim, Hyung Seok Park, et al.. (2018). The Prognostic Value of 18F-FDG Uptake in the Supraclavicular Lymph Node (N3c) on PET/CT in Patients With Locally Advanced Breast Cancer With Clinical N3c. Clinical Nuclear Medicine. 44(1). e6–e12. 3 indexed citations
14.
Yoon, Hee‐Young, et al.. (2017). The Value of 18F-FDG PET/CT in evaluating disease severity in idiopathic pulmonary fibrosis. PA850–PA850. 1 indexed citations
15.
Lee, Suk Hyun, et al.. (2016). Metformin discontinuation less than 72 h is suboptimal for F-18 FDG PET/CT interpretation of the bowel. Annals of Nuclear Medicine. 30(9). 629–636. 17 indexed citations
16.
Lee, Suk Hyun, Sangwon Han, Hyo Sang Lee, et al.. (2015). Association Between 18F-FDG Avidity and the BRAF Mutation in Papillary Thyroid Carcinoma. Nuclear Medicine and Molecular Imaging. 50(1). 38–45. 14 indexed citations
17.
Seo, Minjung, et al.. (2014). Peliosis Hepatis Shows Isometabolism on 18F-FDG PET/CT: Two Case Reports. Nuclear Medicine and Molecular Imaging. 48(4). 309–312. 6 indexed citations
18.
Lee, Dong Yun, et al.. (2014). Performance of 18F-FDG PET/CT as a postoperative surveillance imaging modality for asymptomatic advanced gastric cancer patients. Annals of Nuclear Medicine. 28(8). 789–795. 9 indexed citations
19.
Lee, Suk Hyun, Dong Kyun Rah, & Won Jai Lee. (2012). Penoscrotal Reconstruction With Gracilis Muscle Flap and Internal Pudendal Artery Perforator Flap Transposition. Urology. 79(6). 1390–1396. 29 indexed citations
20.
Lee, Suk Hyun, et al.. (1995). A Case of Acrodysostosis. 38(1). 133–137. 1 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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2026