Eun Sun Lee

3.0k total citations
120 papers, 2.2k citations indexed

About

Eun Sun Lee is a scholar working on Surgery, Epidemiology and Hepatology. According to data from OpenAlex, Eun Sun Lee has authored 120 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 32 papers in Epidemiology and 32 papers in Hepatology. Recurrent topics in Eun Sun Lee's work include Liver Disease Diagnosis and Treatment (29 papers), Hepatocellular Carcinoma Treatment and Prognosis (26 papers) and Pancreatic and Hepatic Oncology Research (18 papers). Eun Sun Lee is often cited by papers focused on Liver Disease Diagnosis and Treatment (29 papers), Hepatocellular Carcinoma Treatment and Prognosis (26 papers) and Pancreatic and Hepatic Oncology Research (18 papers). Eun Sun Lee collaborates with scholars based in South Korea, United States and Germany. Eun Sun Lee's co-authors include Jeong Min Lee, Byung Ihn Choi, Joon Koo Han, Ijin Joo, Jeong Hee Yoon, Hyun Jeong Park, Kyoung Bun Lee, Sung Bin Park, Dong Ho Lee and Mi Hye Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Eun Sun Lee

112 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun Sun Lee South Korea 29 773 742 722 606 565 120 2.2k
Kyoung Doo Song South Korea 24 659 0.9× 902 1.2× 1.4k 1.9× 621 1.0× 384 0.7× 117 2.3k
Onofrio A. Catalano United States 32 1.7k 2.2× 641 0.9× 549 0.8× 1.1k 1.7× 632 1.1× 142 3.5k
Satoshi Goshima Japan 33 1.8k 2.3× 775 1.0× 995 1.4× 627 1.0× 384 0.7× 178 3.3k
Rafael Durán Switzerland 32 768 1.0× 653 0.9× 1.5k 2.1× 654 1.1× 617 1.1× 124 2.8k
Lorenzo Mannelli United States 30 1.5k 1.9× 722 1.0× 648 0.9× 442 0.7× 372 0.7× 130 2.8k
Se Hyung Kim South Korea 28 724 0.9× 569 0.8× 913 1.3× 832 1.4× 507 0.9× 117 2.4k
Andrej Lyshchik United States 30 1.4k 1.8× 632 0.9× 740 1.0× 760 1.3× 237 0.4× 109 3.1k
Hiroyoshi Isoda Japan 25 853 1.1× 597 0.8× 932 1.3× 611 1.0× 321 0.6× 87 2.1k
Sylvain Terraz Switzerland 27 562 0.7× 767 1.0× 1.8k 2.5× 788 1.3× 640 1.1× 84 2.9k
Nobuhiro Fujita Japan 29 820 1.1× 571 0.8× 797 1.1× 771 1.3× 514 0.9× 154 2.8k

Countries citing papers authored by Eun Sun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eun Sun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun Sun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Sun Lee. A scholar is included among the top collaborators of Eun Sun 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 Eun Sun Lee. Eun Sun 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, Seung Eun, Hyun Jeong Park, Eun Sun Lee, et al.. (2025). Long‐Term Surveillance for Pancreatic Carcinoma Among Patients With Branch‐Duct Intraductal Papillary Mucinous Neoplasms. Journal of Gastroenterology and Hepatology. 41(1). 352–360.
2.
Park, Sung Bin, et al.. (2024). MR Imaging for Ectopic Pregnancy. PubMed. 85(6). 1126–1126.
3.
Yoon, Jeong Hee, Young Kon Kim, Jeong Woo Kim, et al.. (2024). Comparison of Four Diagnostic Guidelines for Hepatocellular Carcinoma Using Gadoxetic Acid–enhanced Liver MRI. Radiology. 311(1). e233114–e233114. 6 indexed citations
4.
Park, Sang Joon, Eun Sun Lee, Kyung Sook Shin, Jeong Eun Lee, & Jong Chul Ye. (2023). Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology. Medical Image Analysis. 91. 103021–103021. 14 indexed citations
5.
Kim, Jeong‐Min, et al.. (2023). Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke. Journal of Clinical Neurology. 19(1). 28–28. 1 indexed citations
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9.
Jang, Jong Keon, Eun Sun Lee, Jung Wook Seo, et al.. (2022). Two-dimensional Shear-Wave Elastography and US Attenuation Imaging for Nonalcoholic Steatohepatitis Diagnosis: A Cross-sectional, Multicenter Study. Radiology. 305(1). 118–126. 43 indexed citations
10.
Yoo, Jeongin, Jeong Min Lee, Jeong Hee Yoon, et al.. (2021). Comparison of low kVp CT and dual-energy CT for the evaluation of hypervascular hepatocellular carcinoma. Abdominal Radiology. 46(7). 3217–3226. 16 indexed citations
11.
Lee, Dong Ho, Bohyun Kim, Eun Sun Lee, et al.. (2020). Radiologic Evaluation and Structured Reporting Form for Extrahepatic Bile Duct Cancer: 2019 Consensus Recommendations from the Korean Society of Abdominal Radiology. Korean Journal of Radiology. 22(1). 41–41. 18 indexed citations
12.
Lee, Dong Ho, Eun Sun Lee, Jae Young Lee, et al.. (2020). Two-Dimensional-Shear Wave Elastography with a Propagation Map: Prospective Evaluation of Liver Fibrosis Using Histopathology as the Reference Standard. Korean Journal of Radiology. 21(12). 1317–1317. 14 indexed citations
13.
Jeon, Sun Kyung, Ijin Joo, So Yeon Kim, et al.. (2020). Quantitative ultrasound radiofrequency data analysis for the assessment of hepatic steatosis using the controlled attenuation parameter as a reference standard. ULTRASONOGRAPHY. 40(1). 136–146. 30 indexed citations
14.
Joo, Ijin, So Yeon Kim, Hee Sun Park, et al.. (2019). Validation of a New Point Shear-Wave Elastography Method for Noninvasive Assessment of Liver Fibrosis: A Prospective Multicenter Study. Korean Journal of Radiology. 20(11). 1527–1527. 18 indexed citations
15.
Joo, Ijin, Jeong Min Lee, Eun Sun Lee, et al.. (2019). Preoperative CT Classification of the Resectability of Pancreatic Cancer: Interobserver Agreement. Radiology. 293(2). 343–349. 51 indexed citations
16.
Lee, Eun Sun, et al.. (2019). Genetic relatedness of Megalocytivirus from diseased fishes in Korea. 32(2). 49–57. 1 indexed citations
17.
Yoon, Jeong Hee, Jeong Min Lee, Mi Hye Yu, et al.. (2013). Staging of Hepatic Fibrosis: Comparison of Magnetic Resonance Elastography and Shear Wave Elastography in the Same Individuals. Korean Journal of Radiology. 14(2). 202–202. 60 indexed citations
18.
Lee, Jeong Min, Jeong Eun Lee, Kyoung Bun Lee, et al.. (2013). MR elastography for noninvasive assessment of hepatic fibrosis: Reproducibility of the examination and reproducibility and repeatability of the liver stiffness value measurement. Journal of Magnetic Resonance Imaging. 39(2). 326–331. 87 indexed citations
19.
Lee, Eun Sun & 김미경. (2012). A Study on Companies' Fan Pages on Facebook as a Marketing Communication Channel. Gwanggohak yeon-gu. 23(2). 31–55. 5 indexed citations
20.
Lee, Eun Sun. (2009). A Comparative Analysis of the Characteristics of Social Enterprises in the United Kingdom, United States, and South Korea: An Institutional Approach. 47(4). 363–397. 2 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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