Chae Jung Park

575 total citations
30 papers, 380 citations indexed

About

Chae Jung Park is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chae Jung Park has authored 30 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Genetics and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chae Jung Park's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (11 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Chae Jung Park is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (11 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Chae Jung Park collaborates with scholars based in South Korea, United States and Norway. Chae Jung Park's co-authors include Seung‐Koo Lee, Sung Soo Ahn, Yae Won Park, Jong Hee Chang, Se Hoon Kim, Kyunghwa Han, Seok‐Gu Kang, Phil Hyu Lee, Seok Jong Chung and Young H. Sohn and has published in prestigious journals such as PLoS ONE, Journal of Neurology Neurosurgery & Psychiatry and American Journal of Roentgenology.

In The Last Decade

Chae Jung Park

29 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chae Jung Park South Korea 12 224 144 80 67 58 30 380
Amir Zolal Germany 12 272 1.2× 219 1.5× 34 0.4× 43 0.6× 102 1.8× 24 464
Daichi Momosaka Japan 13 205 0.9× 83 0.6× 23 0.3× 60 0.9× 88 1.5× 25 331
Alessandro Boaro Italy 12 118 0.5× 165 1.1× 34 0.4× 36 0.5× 55 0.9× 31 362
Yi-Jui Liu Taiwan 12 105 0.5× 64 0.4× 57 0.7× 40 0.6× 101 1.7× 16 473
Fernando Aparici Spain 13 123 0.5× 103 0.7× 55 0.7× 79 1.2× 132 2.3× 40 522
Gorm von Öettingen Denmark 13 126 0.6× 211 1.5× 86 1.1× 110 1.6× 204 3.5× 33 580
Roberto Liserre Italy 10 164 0.7× 119 0.8× 27 0.3× 128 1.9× 140 2.4× 23 460
Seung Hong Choi South Korea 17 306 1.4× 246 1.7× 19 0.2× 97 1.4× 105 1.8× 49 572
Lorenzo Gay Italy 14 175 0.8× 264 1.8× 25 0.3× 73 1.1× 64 1.1× 23 523
Kevin Akeret Switzerland 13 74 0.3× 98 0.7× 59 0.7× 47 0.7× 169 2.9× 39 469

Countries citing papers authored by Chae Jung Park

Since Specialization
Citations

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

Fields of papers citing papers by Chae Jung Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chae Jung Park

This figure shows the co-authorship network connecting the top 25 collaborators of Chae Jung Park. A scholar is included among the top collaborators of Chae Jung 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 Chae Jung Park. Chae Jung 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
2.
Park, Chae Jung, Kyunghwa Han, Sung Soo Ahn, et al.. (2024). Diffusion- and Perfusion-Weighted MRI Radiomics for Survival Prediction in Patients with Lower-Grade Gliomas. Yonsei Medical Journal. 65(5). 283–283. 2 indexed citations
3.
Jeong, Seong Ho, Chae Jung Park, Jungho Cha, et al.. (2024). Choroid Plexus Volume, Amyloid Burden, and Cognition in the Alzheimer’s Disease Continuum. Aging and Disease. 23 indexed citations
4.
Sohn, Beomseok, Woo Jung Kim, Chae Jung Park, et al.. (2024). A human brain atlas of χ‐separation for normative iron and myelin distributions. NMR in Biomedicine. 37(12). e5226–e5226. 3 indexed citations
5.
Park, Chae Jung, Jun-Hwee Kim, Nak‐Hoon Son, et al.. (2023). Evaluation of glymphatic system activity using diffusion tensor image analysis along the perivascular space and amyloid PET in older adults with objectively normal cognition: a preliminary study. Frontiers in Aging Neuroscience. 15. 1221667–1221667. 17 indexed citations
6.
Park, Chae Jung, Yae Won Park, Seok Jong Chung, et al.. (2023). An interpretable multiparametric radiomics model of basal ganglia to predict dementia conversion in Parkinson’s disease. npj Parkinson s Disease. 9(1). 127–127. 11 indexed citations
7.
Jeong, Seong Ho, Chae Jung Park, Mun Kyung Sunwoo, et al.. (2023). Association of choroid plexus volume with motor symptoms and dopaminergic degeneration in Parkinson’s disease. Journal of Neurology Neurosurgery & Psychiatry. 94(12). 1047–1055. 41 indexed citations
8.
Jeong, Seong Ho, Mun Kyung Sunwoo, Sung Soo Ahn, et al.. (2023). Association between choroid plexus volume and cognition in Parkinson disease. European Journal of Neurology. 30(10). 3114–3123. 27 indexed citations
9.
Park, Chae Jung, Seo Hee Choi, Kyunghwa Han, et al.. (2023). MRI radiomics may predict early tumor recurrence in patients with sinonasal squamous cell carcinoma. European Radiology. 34(5). 3151–3159. 8 indexed citations
11.
Park, Chae Jung, Yae Won Park, Sung Soo Ahn, et al.. (2022). Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation. Korean Journal of Radiology. 23(1). 77–77. 19 indexed citations
12.
Park, Chae Jung, Seo Hee Choi, Hwa Kyung Byun, et al.. (2022). An interpretable radiomics model to select patients for radiotherapy after surgery for WHO grade 2 meningiomas. Radiation Oncology. 17(1). 147–147. 12 indexed citations
13.
Park, Chae Jung, Kyunghwa Han, Hwiyoung Kim, et al.. (2021). MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade Gliomas. American Journal of Neuroradiology. 42(3). 448–456. 37 indexed citations
14.
15.
Park, Yae Won, Sung Soo Ahn, Chae Jung Park, et al.. (2020). Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas. European Radiology. 30(12). 6475–6484. 39 indexed citations
16.
Park, Chae Jung, Jihoon Cha, Sung Soo Ahn, et al.. (2020). Contrast-Enhanced High-Resolution Intracranial Vessel Wall MRI with Compressed Sensing: Comparison with Conventional T1 Volumetric Isotropic Turbo Spin Echo Acquisition Sequence. Korean Journal of Radiology. 21(12). 1334–1334. 4 indexed citations
17.
Park, Chae Jung, Kyunghwa Han, Sung Soo Ahn, et al.. (2020). MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas. European Radiology. 30(6). 3035–3045. 8 indexed citations
18.
Park, Chae Jung, Nieun Seo, Woo Jin Hyung, et al.. (2018). Prognostic significance of preoperative CT findings in patients with advanced gastric cancer who underwent curative gastrectomy. PLoS ONE. 13(8). e0202207–e0202207. 7 indexed citations
19.
Park, Chae Jung, et al.. (2018). Contrast-Enhanced CT with Knowledge-Based Iterative Model Reconstruction for the Evaluation of Parotid Gland Tumors: A Feasibility Study. Korean Journal of Radiology. 19(5). 957–957. 9 indexed citations
20.
Park, Chae Jung, Chansik An, Sumi Park, Jin‐Young Choi, & Myeong‐Jin Kim. (2017). Management of subcentimetre arterially enhancing and hepatobiliary hypointense lesions on gadoxetic acid-enhanced MRI in patients at risk for HCC. European Radiology. 28(4). 1476–1484. 11 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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