Sungwon Lee

826 total citations
34 papers, 511 citations indexed

About

Sungwon Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sungwon Lee has authored 34 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sungwon Lee's work include Radiomics and Machine Learning in Medical Imaging (7 papers), interferon and immune responses (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). Sungwon Lee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), interferon and immune responses (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). Sungwon Lee collaborates with scholars based in South Korea, United States and Germany. Sungwon Lee's co-authors include Ronald M. Summers, C. Dale Poulter, Zhiyong Lu, Yifan Peng, Daniel C. Elton, Yingying Zhu, Yuxing Tang, Joon‐Yong Jung, Perry J. Pickhardt and Kwangseog Ahn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Sungwon Lee

31 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sungwon Lee South Korea	15	214	154	103	79	57	34	511
Truong Nguyen Khanh Hung Vietnam	11	140 0.7×	127 0.8×	65 0.6×	78 1.0×	67 1.2×	19	480
Stephan Ellmann Germany	16	307 1.4×	96 0.6×	105 1.0×	42 0.5×	69 1.2×	37	603
Yinhui Deng China	10	174 0.8×	61 0.4×	75 0.7×	44 0.6×	53 0.9×	19	457
Matthias A. Fink Germany	12	177 0.8×	110 0.7×	51 0.5×	89 1.1×	63 1.1×	31	542
Jianqiao Zhou China	12	356 1.7×	42 0.3×	100 1.0×	148 1.9×	54 0.9×	39	594
Yijie Dong China	16	447 2.1×	71 0.5×	240 2.3×	142 1.8×	48 0.8×	52	734
Hanliang Jiang China	12	154 0.7×	183 1.2×	103 1.0×	122 1.5×	139 2.4×	35	597
Mircea-Sebastian Şerbănescu Romania	10	118 0.6×	59 0.4×	41 0.4×	134 1.7×	74 1.3×	90	422
Bowen Xin China	11	224 1.0×	61 0.4×	58 0.6×	50 0.6×	110 1.9×	22	404

Countries citing papers authored by Sungwon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Sungwon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungwon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sungwon Lee. A scholar is included among the top collaborators of Sungwon 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 Sungwon Lee. Sungwon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Sungwon, et al.. (2025). Human cytomegalovirus long non-coding RNA counteracts nuclear cGAS to facilitate immune evasion. Nature Microbiology. 10(9). 2275–2290. 1 indexed citations

Shen, Thomas C., et al.. (2024). Detection of abdominopelvic lymph nodes in multi-parametric MRI. Computerized Medical Imaging and Graphics. 114. 102363–102363. 2 indexed citations

Lee, Dohoon, et al.. (2024). Human immunodeficiency virus-1 induces host genomic R-loops and preferentially integrates its genome near the R-loop regions. eLife. 13.

Lee, Sungwon, Joon‐Yong Jung, Akaworn Mahatthanatrakul, & Jin‐Sung Kim. (2024). Artificial Intelligence in Spinal Imaging and Patient Care: A Review of Recent Advances. Neurospine. 21(2). 474–486. 15 indexed citations

Lee, So Yeon, Jinyoung Lee, Seungeun Lee, et al.. (2023). Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI. Magnetic Resonance Imaging. 105. 82–91. 7 indexed citations

Jung, Joon‐Yong, Sungwon Lee, So Yeon Lee, et al.. (2023). Development of a Semiquantitative Whole-Body MRI Scoring System for Multiple Myeloma. Radiology. 308(3). e230667–e230667. 1 indexed citations

Shen, Thomas C., Pritam Mukherjee, Sungwon Lee, et al.. (2023). Automated detection of incidental abdominal aortic aneurysms on computed tomography. Abdominal Radiology. 49(2). 642–650. 4 indexed citations

Lee, Sungwon, et al.. (2023). Universal detection and segmentation of lymph nodes in multi-parametric MRI. International Journal of Computer Assisted Radiology and Surgery. 19(1). 163–170. 4 indexed citations

Lee, Sungwon, Daniel C. Elton, Alexander H. Yang, et al.. (2022). Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis. Radiology Artificial Intelligence. 4(5). e210268–e210268. 23 indexed citations

10.

Lee, Sungwon, Jaewon Song, Sung‐Yul Lee, et al.. (2022). Functional and molecular dissection of HCMV long non-coding RNAs. Scientific Reports. 12(1). 19303–19303. 11 indexed citations

11.

Lee, Sungwon, et al.. (2022). Universal lymph node detection in T2 MRI using neural networks. International Journal of Computer Assisted Radiology and Surgery. 18(2). 313–318. 5 indexed citations

12.

Mukherjee, Pritam, Sungwon Lee, Perry J. Pickhardt, & Ronald M. Summers. (2022). Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. Lecture notes in computer science. 13540. 39–48.

13.

Hong, Yujin, et al.. (2021). STING facilitates nuclear import of herpesvirus genome during infection. Proceedings of the National Academy of Sciences. 118(33). 14 indexed citations

14.

Ryoo, Jeongmin, Sungwon Lee, Sung-Yeon Hwang, et al.. (2021). Aicardi-Goutières syndrome-associated gene SAMHD1 preserves genome integrity by preventing R-loop formation at transcription–replication conflict regions. PLoS Genetics. 17(4). e1009523–e1009523. 34 indexed citations

15.

Lee, Sungwon & Ronald M. Summers. (2021). Clinical Artificial Intelligence Applications in Radiology. Radiologic Clinics of North America. 59(6). 987–1002. 17 indexed citations

16.

Peng, Yifan, Yuxing Tang, Sungwon Lee, et al.. (2020). COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. IEEE Transactions on Big Data. 7(1). 3–12. 57 indexed citations

17.

Summers, Ronald M., Daniel C. Elton, Sungwon Lee, et al.. (2020). Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans. Academic Radiology. 28(11). 1491–1499. 32 indexed citations

18.

Lee, Sungwon, Seung Eun Jung, Sung Eun Rha, & Jae Young Byun. (2012). Reducing radiation in CT urography for hematuria: Effect of using 100 kilovoltage protocol. European Journal of Radiology. 81(8). e830–e834. 15 indexed citations

19.

Lee, Sungwon, et al.. (2011). Persistent left superior caval vein with absent right superior caval vein: importance of awareness. Cardiology in the Young. 22(2). 213–215. 1 indexed citations

20.

Ryu, Yeonhee, et al.. (2010). Anatomical Discrimination of the Differences Between Torn Mesentery Tissue and Internal Organ-surface Primo-vessels. Journal of Acupuncture and Meridian Studies. 3(1). 10–15. 7 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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