Moon-Gyu Lee

638 total citations
13 papers, 463 citations indexed

About

Moon-Gyu Lee is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Moon-Gyu Lee has authored 13 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Moon-Gyu Lee's work include Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). Moon-Gyu Lee is often cited by papers focused on Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). Moon-Gyu Lee collaborates with scholars based in South Korea, Belarus and United States. Moon-Gyu Lee's co-authors include Seung Soo Lee, Jae Ho Byun, Seong Ho Park, Seung‐Mo Hong, So Yeon Kim, Kyung Won Kim, Hyo Jung Park, Nikhil H. Ramaiya, Soon Ho Yoon and Katherine M. Krajewski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and Radiology.

In The Last Decade

Moon-Gyu Lee

13 papers receiving 454 citations

Peers

Moon-Gyu Lee
Bin Qiu China
T Helmberger Germany
Jeeban Paul Das United States
Greg N. Bender United States
Nikhil Amesur United States
A. Bunk Germany
Moon-Gyu Lee
Citations per year, relative to Moon-Gyu Lee Moon-Gyu Lee (= 1×) peers D. Ravizza

Countries citing papers authored by Moon-Gyu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Moon-Gyu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moon-Gyu Lee

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

All Works

13 of 13 papers shown
1.
Huh, Jimi, Jae Ho Byun, Jin Hee Kim, et al.. (2020). Value of apparent diffusion coefficient for differentiating peripancreatic tuberculous lymphadenopathy from metastatic lymphadenopathy. Abdominal Radiology. 45(10). 3163–3171. 1 indexed citations
2.
Park, Hyo Jung, So Yeon Kim, Hyoung Jung Kim, et al.. (2018). Intraductal Papillary Neoplasm of the Bile Duct: Clinical, Imaging, and Pathologic Features. American Journal of Roentgenology. 211(1). 67–75. 67 indexed citations
3.
Huh, Jimi, Jae Ho Byun, Seung‐Mo Hong, et al.. (2016). Malignant pancreatic serous cystic neoplasms: systematic review with a new case. BMC Gastroenterology. 16(1). 97–97. 13 indexed citations
4.
Choi, In Young, Seung Soo Lee, Yu Sub Sung, et al.. (2016). Intravoxel incoherent motion diffusion‐weighted imaging for characterizing focal hepatic lesions: Correlation with lesion enhancement. Journal of Magnetic Resonance Imaging. 45(6). 1589–1598. 26 indexed citations
5.
Park, Hyo Jung, Yu Sub Sung, Seung Soo Lee, et al.. (2016). Intravoxel incoherent motion diffusion‐weighted MRI of the abdomen: The effect of fitting algorithms on the accuracy and reliability of the parameters. Journal of Magnetic Resonance Imaging. 45(6). 1637–1647. 57 indexed citations
6.
Choi, Sang Hyun, Seung Soo Lee, So Yeon Kim, et al.. (2016). Intrahepatic Cholangiocarcinoma in Patients with Cirrhosis: Differentiation from Hepatocellular Carcinoma by Using Gadoxetic Acid–enhanced MR Imaging and Dynamic CT. Radiology. 282(3). 771–781. 68 indexed citations
7.
Hong, Gil-Sun, Jae Ho Byun, Jin Hee Kim, et al.. (2015). Thread sign in biliary intraductal papillary mucinous neoplasm: a novel specific finding for MRI. European Radiology. 26(9). 3112–3120. 19 indexed citations
8.
Park, Hye Sun, So Yeon Kim, Seung‐Mo Hong, et al.. (2015). Hypervascular solid-appearing serous cystic neoplasms of the pancreas: Differential diagnosis with neuroendocrine tumours. European Radiology. 26(5). 1348–1358. 22 indexed citations
9.
Jung, Yoon Young, Jae Ho Byun, Jin Hee Kim, et al.. (2015). Differentiation of Common Pancreatic Cystic Neoplasms Based Upon Multiplicity of Cysts. SHILAP Revista de lepidopterología. 72(1). 1–1. 2 indexed citations
10.
Lee, Ju Hee, Jae Ho Byun, Jin Hee Kim, et al.. (2014). Solid Pancreatic Tumors with Unilocular Cyst-Like Appearance on CT: Differentiation from Unilocular Cystic Tumors Using CT. Korean Journal of Radiology. 15(6). 704–704. 11 indexed citations
11.
Kim, Kyung Won, Seong Ho Park, Junhee Pyo, et al.. (2013). Imaging Features to Distinguish Malignant and Benign Branch-Duct Type Intraductal Papillary Mucinous Neoplasms of the Pancreas. Annals of Surgery. 259(1). 72–81. 134 indexed citations
12.
Kim, Jung Hoon, Kwon‐Ha Yoon, Young-Suk Lee, et al.. (1999). CT Features of Abdominal Manifestations of Primary Antiphospholipid Syndrome. Journal of Computer Assisted Tomography. 23(5). 678–683. 18 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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