Eung Yeop Kim

6.0k total citations · 1 hit paper
155 papers, 4.4k citations indexed

About

Eung Yeop Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Eung Yeop Kim has authored 155 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Neurology and 41 papers in Epidemiology. Recurrent topics in Eung Yeop Kim's work include Advanced MRI Techniques and Applications (32 papers), Acute Ischemic Stroke Management (30 papers) and Advanced Neuroimaging Techniques and Applications (21 papers). Eung Yeop Kim is often cited by papers focused on Advanced MRI Techniques and Applications (32 papers), Acute Ischemic Stroke Management (30 papers) and Advanced Neuroimaging Techniques and Applications (21 papers). Eung Yeop Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Eung Yeop Kim's co-authors include Jong Chul Ye, Hong Jung, Kyunghyun Sung, Krishna S. Nayak, Jongho Lee, Young Noh, Dong Joon Kim, Young Hee Sung, Seung‐Koo Lee and Jinna Kim and has published in prestigious journals such as Journal of the American Chemical Society, NeuroImage and Brain.

In The Last Decade

Eung Yeop Kim

146 papers receiving 4.3k citations

Hit Papers

k‐t FOCUSS: A general com... 2008 2026 2014 2020 2008 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI
    2008 494 citations Eung Yeop Kim, Jong Chul Ye et al. Magnetic Resonance in Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eung Yeop Kim South Korea 37 1.6k 1.0k 865 671 493 155 4.4k
Richard B. Schwartz United States 37 2.1k 1.3× 1.1k 1.1× 1.0k 1.2× 795 1.2× 606 1.2× 130 6.4k
Christopher P. Hess United States 45 2.7k 1.7× 1.7k 1.7× 753 0.9× 861 1.3× 1.0k 2.1× 239 6.9k
Tian Liu United States 46 5.1k 3.1× 954 0.9× 524 0.6× 1.0k 1.5× 336 0.7× 280 8.4k
Martin Skalej Germany 30 621 0.4× 1.6k 1.5× 364 0.4× 685 1.0× 456 0.9× 159 3.5k
Arnd Doerfler Germany 44 1.5k 0.9× 3.0k 2.9× 2.0k 2.3× 1.7k 2.5× 363 0.7× 301 6.6k
María Isabel Vargas Switzerland 33 1.3k 0.8× 1.1k 1.1× 545 0.6× 614 0.9× 659 1.3× 191 3.9k
Arnd Dörfler Germany 40 1.6k 1.0× 1.5k 1.4× 1.3k 1.5× 946 1.4× 299 0.6× 210 5.4k
Kohsuke Kudo Japan 38 2.8k 1.8× 1.2k 1.2× 1.0k 1.2× 1.4k 2.1× 478 1.0× 266 5.3k
David W. Roberts United States 50 1.7k 1.1× 1.7k 1.7× 952 1.1× 1.3k 2.0× 1.2k 2.4× 265 8.5k
Apostolos John Tsiouris United States 40 1.6k 1.0× 1.5k 1.5× 1.2k 1.4× 456 0.7× 1.3k 2.7× 130 5.0k

Countries citing papers authored by Eung Yeop Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eung Yeop Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eung Yeop Kim. 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 Eung Yeop Kim. The network helps show where Eung Yeop Kim may publish in the future.

Co-authorship network of co-authors of Eung Yeop Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eung Yeop Kim. A scholar is included among the top collaborators of Eung Yeop Kim 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 Eung Yeop Kim. Eung Yeop Kim 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.
Na, Han Kyu, Phil Hyu Lee, Sun‐Young Baek, et al.. (2025). Effect of Deep Learning-Based Artificial Intelligence on Radiologists’ Performance in Identifying Nigrosome 1 Abnormalities on Susceptibility Map-Weighted Imaging. Korean Journal of Radiology. 26(8). 771–771.
2.
Sohn, Beomseok, et al.. (2024). The Inferior Cerebellar Peduncle Sign: A Novel Imaging Marker for Differentiating Multiple System Atrophy Cerebellar Type from Spinocerebellar Ataxia. American Journal of Neuroradiology. 46(6). 1223–1230. 4 indexed citations
3.
4.
Kim, Dong‐Hyun, et al.. (2024). Real-world application of a 3D deep learning model for detecting and localizing cerebral microbleeds. Acta Neurochirurgica. 166(1). 381–381. 3 indexed citations
5.
Baek, Min Seok, Eung Yeop Kim, Young Hee Sung, et al.. (2023). Nigrosome 1 visibility and its association with nigrostriatal dopaminergic loss in Parkinson's disease. European Journal of Neurology. 30(6). 1639–1647. 2 indexed citations
6.
Kim, Eung Yeop, et al.. (2023). Outcome of epidural blood patch for imaging-negative spontaneous intracranial hypotension. Cephalalgia. 43(2). 2205185527–2205185527. 5 indexed citations
7.
8.
Kim, Jun‐Ho, Seul Lee, Young Noh, et al.. (2022). Detection of Cerebral Microbleeds in MR Images Using a Single‐Stage Triplanar Ensemble Detection Network (TPE‐Det). Journal of Magnetic Resonance Imaging. 58(1). 272–283. 6 indexed citations
9.
Al‐masni, Mohammed A., et al.. (2021). 3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention. IEEE Access. 9. 11787–11797. 7 indexed citations
10.
Kim, Hyun Jeong, Sang Bong Lee, Jin Woo Choi, et al.. (2020). Multiphase MR Angiography Collateral Map: Functional Outcome after Acute Anterior Circulation Ischemic Stroke. Radiology. 295(1). 192–201. 19 indexed citations
11.
Roh, Hong Gee, Eung Yeop Kim, In Seong Kim, et al.. (2019). A Novel Collateral Imaging Method Derived from Time-Resolved Dynamic Contrast-Enhanced MR Angiography in Acute Ischemic Stroke: A Pilot Study. American Journal of Neuroradiology. 40(6). 946–953. 18 indexed citations
12.
Sung, Young Hee, Jongho Lee, Yoonho Nam, et al.. (2018). Initial diagnostic workup of parkinsonism: Dopamine transporter positron emission tomography versus susceptibility map-weighted imaging at 3T. Parkinsonism & Related Disorders. 62. 171–178. 15 indexed citations
13.
Yoon, Jaeyeon, Enhao Gong, Itthi Chatnuntawech, et al.. (2018). Quantitative susceptibility mapping using deep neural network: QSMnet. NeuroImage. 179. 199–206. 116 indexed citations
14.
15.
Jin, Kyong Hwan, et al.. (2017). True Temporal Resolution TWIST Imaging using Annihilating Filter-based Low-rank wrap around Hankel Matrix. 1 indexed citations
16.
Park, Jaeseok & Eung Yeop Kim. (2010). Contrast-enhanced, three-dimensional, whole-brain, black-blood imaging: Application to small brain metastases. Magnetic Resonance in Medicine. 63(3). 553–561. 48 indexed citations
17.
Park, Il Ho, Hae‐Jeong Park, Ji‐Won Chun, Eung Yeop Kim, & Jae‐Jin Kim. (2008). Dysfunctional modulation of emotional interference in the medial prefrontal cortex in patients with schizophrenia. Neuroscience Letters. 440(2). 119–124. 41 indexed citations
18.
Lee, Jong Doo, Jong Doo Lee, Hae‐Jeong Park, et al.. (2006). Assessment of regional GABAA receptor binding using 18F-fluoroflumazenil positron emission tomography in spastic type cerebral palsy. NeuroImage. 34(1). 19–25. 22 indexed citations
19.
Choi, Dongil, Jae Hoon Lim, Eung Yeop Kim, Cheol Keun Park, & Yeon Kwon Jeong. (2001). Regenerative Nodules in Liver Cirrhosis: Sonographic Appearance and Pathologic Correlation.. ULTRASONOGRAPHY. 17(4). 323–332. 3 indexed citations
20.
Jang, Hyuk Jai, Hyo Keun Lim, Won Jae Lee, et al.. (2000). Ultrasonographic evaluation of focal hepatic lesions: comparison of pulse inversion harmonic, tissue harmonic, and conventional imaging techniques.. Journal of Ultrasound in Medicine. 19(5). 293–299. 40 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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