Hyo Won Eun

1.3k total citations
38 papers, 899 citations indexed

About

Hyo Won Eun is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Hyo Won Eun has authored 38 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 20 papers in Pulmonary and Respiratory Medicine and 18 papers in Surgery. Recurrent topics in Hyo Won Eun's work include Pancreatic and Hepatic Oncology Research (11 papers), Gastric Cancer Management and Outcomes (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Hyo Won Eun is often cited by papers focused on Pancreatic and Hepatic Oncology Research (11 papers), Gastric Cancer Management and Outcomes (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Hyo Won Eun collaborates with scholars based in South Korea, Ethiopia and United States. Hyo Won Eun's co-authors include Jung Hoon Kim, Joon Koo Han, Seong Sook Hong, Jeong Min Lee, Byung Ihn Choi, Jae Young Lee, Young Jae Kim, Yong Ho Auh, Hyun Kwon Ha and Byung Ihn Choi and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Radiographics.

In The Last Decade

Hyo Won Eun

37 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyo Won Eun South Korea 21 510 479 394 193 188 38 899
Yoshihiro Okabe Japan 15 434 0.9× 289 0.6× 337 0.9× 280 1.5× 141 0.8× 66 907
Wolfram Wermke Germany 15 416 0.8× 322 0.7× 184 0.5× 242 1.3× 60 0.3× 50 742
N. Heyder Germany 12 427 0.8× 499 1.0× 257 0.7× 442 2.3× 64 0.3× 42 903
Emanuele Felli France 18 419 0.8× 283 0.6× 272 0.7× 112 0.6× 173 0.9× 70 796
Andreas Puespoek Austria 10 302 0.6× 242 0.5× 192 0.5× 63 0.3× 75 0.4× 19 640
Young Hoe Hur South Korea 16 346 0.7× 233 0.5× 187 0.5× 271 1.4× 65 0.3× 56 724
D. Ravizza Italy 15 298 0.6× 341 0.7× 118 0.3× 303 1.6× 61 0.3× 34 629
José Celso Ardengh Brazil 18 756 1.5× 813 1.7× 354 0.9× 359 1.9× 57 0.3× 110 1.1k
Kathleen Möller Germany 11 430 0.8× 283 0.6× 238 0.6× 131 0.7× 76 0.4× 62 720
Nihal Kılınç Türkiye 11 223 0.4× 325 0.7× 199 0.5× 168 0.9× 62 0.3× 46 639

Countries citing papers authored by Hyo Won Eun

Since Specialization
Citations

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

Fields of papers citing papers by Hyo Won Eun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyo Won Eun

This figure shows the co-authorship network connecting the top 25 collaborators of Hyo Won Eun. A scholar is included among the top collaborators of Hyo Won Eun 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 Hyo Won Eun. Hyo Won Eun 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
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Kim, Jung Hoon, Hyo Won Eun, Young Jae Kim, Joon Koo Han, & Byung Ihn Choi. (2013). Staging accuracy of MR for pancreatic neuroendocrine tumor and imaging findings according to the tumor grade. Abdominal Imaging. 38(5). 1106–1114. 40 indexed citations
5.
Kim, Jung Hoon, Hyo Won Eun, Kyung Won Kim, et al.. (2013). Diagnostic Performance of MDCT for Predicting Important Prognostic Factors in Pancreatic Cancer. Pancreas. 42(8). 1316–1322. 11 indexed citations
6.
Eun, Hyo Won, Jung Hoon Kim, Seong Sook Hong, & Young Jae Kim. (2011). Assessment of acute cholangitis by MR imaging. European Journal of Radiology. 81(10). 2476–2480. 17 indexed citations
7.
Kim, Jung Hoon, Seong Sook Hong, Hyo Won Eun, Joon Koo Han, & Byung Ihn Choi. (2011). Clinical usefulness of free-breathing navigator-triggered 3D MRCP in non-cooperative patients: Comparison with conventional breath-hold 2D MRCP. European Journal of Radiology. 81(4). e513–e518. 22 indexed citations
8.
Kim, Jung Hoon, Hyo Won Eun, Seong Sook Hong, et al.. (2011). Gastric cancer detection using MDCT compared with 2D axial CT: diagnostic accuracy of three different reconstruction techniques. Abdominal Imaging. 37(4). 541–548. 9 indexed citations
9.
Eun, Hyo Won, Jung Hoon Kim, Seong Sook Hong, & Young Jae Kim. (2011). Malignant versus benign hepatic masses in patients with recurrent pyogenic cholangitis: MR differential diagnosis. Abdominal Radiology. 37(5). 767–774. 8 indexed citations
10.
Kim, Jung Hoon, Seong Sook Hong, Young Jae Kim, Jeong Kon Kim, & Hyo Won Eun. (2011). Intraductal papillary mucinous neoplasm of the pancreas: Differentiate from chronic pancreatits by MR imaging. European Journal of Radiology. 81(4). 671–676. 24 indexed citations
11.
Kim, Seung Ho, Jeong Min Lee, Hee Sun Park, et al.. (2009). Accuracy of MRI for predicting the circumferential resection margin, mesorectal fascia invasion, and tumor response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer. Journal of Magnetic Resonance Imaging. 29(5). 1093–1101. 50 indexed citations
12.
Kim, Young Sun, Nayoung Kim, Se Hyung Kim, et al.. (2008). The Efficacy of Intravenous Contrast-enhanced 16-raw Multidetector CT Colonography for Detecting Patients With Colorectal Polyps in an Asymptomatic Population in Korea. Journal of Clinical Gastroenterology. 42(7). 791–798. 31 indexed citations
13.
Kim, Se Hyung, Jeong Min Lee, Cheong‐Il Shin, et al.. (2008). Effects of Spatial Resolution and Tube Current on Computer-aided Detection of Polyps on CT Colonographic Images: Phantom Study. Radiology. 248(2). 492–503. 14 indexed citations
14.
Han, Joon Koo, Hyo Won Eun, & Se Hyung Kim. (2008). Radiologic findings of dysplastic nodule. The Korean Journal of Hepatology. 14(2). 231–231. 1 indexed citations
15.
Eun, Hyo Won, et al.. (2006). Early gastric cancer: virtual gastroscopy. Abdominal Imaging. 31(5). 507–513. 21 indexed citations
16.
Kim, Jung Hoon, Hyo Won Eun, Dong Erk Goo, Chan Sup Shim, & Yong Ho Auh. (2006). Imaging of Various Gastric Lesions with 2D MPR and CT Gastrography Performed with Multidetector CT. Radiographics. 26(4). 1101–1116. 32 indexed citations
17.
Choi, Byung Ihn, et al.. (2006). CT colonography in a Korean population with a high residue diet: Comparison between wet and dry preparations. Clinical Radiology. 61(6). 483–494. 14 indexed citations
18.
Eun, Hyo Won, et al.. (2003). Renal Perfusion Abnormality.. Acta Radiologica. 44(2). 166–171. 22 indexed citations
19.
Kim, Jung Hoon, Tae Kyoung Kim, Hyo Won Eun, et al.. (2002). Preoperative evaluation of gallbladder carcinoma: Efficacy of combined use of MR imaging, MR cholangiography, and contrast‐enhanced dual‐phase three‐dimensional MR angiography. Journal of Magnetic Resonance Imaging. 16(6). 676–684. 57 indexed citations
20.
Kim, Jung Hoon, Tae Kyoung Kim, Hyo Won Eun, et al.. (2002). Enhancement of Hepatic Hemangiomas With Levovist on Coded Harmonic Angiographic Ultrasonography. Journal of Ultrasound in Medicine. 21(2). 141–148. 20 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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