Ji Eun Park

6.9k total citations
250 papers, 4.3k citations indexed

About

Ji Eun Park is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ji Eun Park has authored 250 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Radiology, Nuclear Medicine and Imaging, 78 papers in Genetics and 38 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ji Eun Park's work include Glioma Diagnosis and Treatment (76 papers), Radiomics and Machine Learning in Medical Imaging (59 papers) and MRI in cancer diagnosis (51 papers). Ji Eun Park is often cited by papers focused on Glioma Diagnosis and Treatment (76 papers), Radiomics and Machine Learning in Medical Imaging (59 papers) and MRI in cancer diagnosis (51 papers). Ji Eun Park collaborates with scholars based in South Korea, United States and Germany. Ji Eun Park's co-authors include Ho Sung Kim, Seo Young Park, Sang Joon Kim, Jeong Hoon Kim, Young‐Hoon Kim, Jung Youn Kim, Hwa Jung Kim, Soo Jung Nam, Woo Hyun Shim and Seung Chai Jung and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Ji Eun Park

228 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Eun Park South Korea 35 2.7k 1.2k 693 477 446 250 4.3k
Edward F. Jackson United States 36 1.9k 0.7× 875 0.7× 879 1.3× 379 0.8× 409 0.9× 121 4.7k
Sotirios Bisdas Germany 40 3.0k 1.1× 1.2k 1.0× 596 0.9× 438 0.9× 131 0.3× 198 5.0k
Javier Villanueva-Meyer United States 27 1.3k 0.5× 834 0.7× 351 0.5× 280 0.6× 132 0.3× 104 2.6k
Benjamin M. Ellingson United States 49 4.8k 1.8× 4.4k 3.6× 1.2k 1.7× 491 1.0× 363 0.8× 304 8.3k
Brent D. Weinberg United States 25 1.0k 0.4× 548 0.4× 277 0.4× 867 1.8× 335 0.8× 113 3.0k
Michelle M. Kim United States 28 907 0.3× 1.1k 0.9× 832 1.2× 247 0.5× 110 0.2× 102 3.7k
Jae Min Jeong South Korea 43 2.6k 1.0× 362 0.3× 1.1k 1.5× 636 1.3× 334 0.7× 214 5.8k
N.G. Burnet United Kingdom 42 2.8k 1.0× 960 0.8× 2.0k 2.9× 636 1.3× 134 0.3× 182 6.3k
June S. Taylor United States 22 3.1k 1.2× 518 0.4× 649 0.9× 222 0.5× 354 0.8× 36 4.2k

Countries citing papers authored by Ji Eun Park

Since Specialization
Citations

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

Fields of papers citing papers by Ji Eun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Eun Park

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Eun Park. A scholar is included among the top collaborators of Ji Eun Park 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 Ji Eun Park. Ji Eun Park 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.
Park, Ji Eun, Seo Young Park, Seunghee Baek, et al.. (2025). Maximum Resection of Noncontrast-enhanced Tumor at MRI Is a Favorable Prognostic Factor in IDH Wild-Type Glioblastoma. Radiology. 315(2). e241393–e241393.
2.
Park, Ji Eun, Seon‐Ok Kim, Yong Seo Koo, et al.. (2024). Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy. Korean Journal of Radiology. 25(4). 374–374. 10 indexed citations
3.
Hwang, Eui Jin, Ji Eun Park, Kyoung Doo Song, et al.. (2024). 2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology. Korean Journal of Radiology. 25(7). 613–613. 6 indexed citations
4.
Park, Ji Eun, et al.. (2024). Image-Based Generative Artificial Intelligence in Radiology: Comprehensive Updates. Korean Journal of Radiology. 25(11). 959–959. 6 indexed citations
5.
Kang, Koung Mi, Yunhee Choi, Ji Eun Park, et al.. (2024). MRI Scoring Systems for Predicting Isocitrate Dehydrogenase Mutation and Chromosome 1p/19q Codeletion in Adult-type Diffuse Glioma Lacking Contrast Enhancement. Radiology. 311(2). e233120–e233120. 10 indexed citations
6.
7.
Park, Yae Won, Ji Eun Park, Sung Soo Ahn, et al.. (2023). Qualitative and Quantitative Magnetic Resonance Imaging Phenotypes May Predict CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytomas: A Multicenter Study. Korean Journal of Radiology. 24(2). 133–133. 18 indexed citations
8.
Park, Ji Eun, et al.. (2023). Imaging-Based Versus Pathologic Survival Stratifications of Diffuse Glioma According to the 2021 WHO Classification System. Korean Journal of Radiology. 24(8). 772–772. 2 indexed citations
9.
Park, Ji Eun, et al.. (2023). Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies. Scientific Reports. 13(1). 17522–17522. 9 indexed citations
10.
Park, Ji Eun & Mi Ryeong Song. (2022). Effects of Emergency Nurses’ Experiences of Violence, Resilience, and Nursing Work Environment on Turnover Intention: A Cross-Sectional Survey. Journal of Emergency Nursing. 49(3). 461–469. 14 indexed citations
11.
Park, Seong Ho, Kyunghwa Han, Hye Young Jang, et al.. (2022). Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis. Radiology. 306(1). 20–31. 67 indexed citations
12.
13.
Kim, Moinay, Joonho Byun, Yeongu Chung, et al.. (2021). Reactive Oxygen Species Scavenger in Acute Intracerebral Hemorrhage Patients. Stroke. 52(4). 1172–1181. 22 indexed citations
14.
15.
Suh, Chong Hyun, Ho Sung Kim, Wooyul Paik, et al.. (2019). False-Positive Measurement at 2-Hydroxyglutarate MR Spectroscopy in Isocitrate Dehydrogenase Wild-Type Glioblastoma: A Multifactorial Analysis. Radiology. 291(3). 752–762. 28 indexed citations
16.
Nam, Soo Jeong, Young‐Hoon Kim, Ji Eun Park, et al.. (2018). Tumor-infiltrating immune cell subpopulations and programmed death ligand 1 (PD-L1) expression associated with clinicopathological and prognostic parameters in ependymoma. Cancer Immunology Immunotherapy. 68(2). 305–318. 22 indexed citations
17.
Hong, Tao, Ji Eun Park, Feng Ling, et al.. (2016). Comparison of 3 Different Types of Spinal Arteriovenous Shunts below the Conus in Clinical Presentation, Radiologic Findings, and Outcomes. American Journal of Neuroradiology. 38(2). 403–409. 34 indexed citations
18.
Suh, Dae Chul, et al.. (2016). Induced-Wedge Technique to Improve Liquid Embolic Agent Penetration into Spinal Dural Arteriovenous Fistula. World Neurosurgery. 96. 309–315. 12 indexed citations
19.
Park, Ji Eun & Soonman Kwon. (2015). Relationship of Health and Discrepancy between Objective and Subjective Income Stratum: Self-Rated Health and Depression. 95–121.
20.
Kim, Ki Soo, et al.. (2010). Three Cases of Endoscopic Mucosal Resection of Rectal Carcinoid Tumor by Band Ligation and the Snare Resection Technique. Clinical Endoscopy. 41(1). 45–51.

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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