Yae Won Park

2.5k total citations
97 papers, 1.7k citations indexed

About

Yae Won Park is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology. According to data from OpenAlex, Yae Won Park has authored 97 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Radiology, Nuclear Medicine and Imaging, 57 papers in Genetics and 25 papers in Epidemiology. Recurrent topics in Yae Won Park's work include Glioma Diagnosis and Treatment (57 papers), Radiomics and Machine Learning in Medical Imaging (53 papers) and Meningioma and schwannoma management (21 papers). Yae Won Park is often cited by papers focused on Glioma Diagnosis and Treatment (57 papers), Radiomics and Machine Learning in Medical Imaging (53 papers) and Meningioma and schwannoma management (21 papers). Yae Won Park collaborates with scholars based in South Korea, United States and Germany. Yae Won Park's co-authors include Sung Soo Ahn, Seung‐Koo Lee, Se Hoon Kim, Jong Hee Chang, Kyunghwa Han, Yoon Seong Choi, Seok‐Gu Kang, Eui Hyun Kim, Hwiyoung Kim and Chansik An and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yae Won Park

89 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yae Won Park South Korea 27 977 735 333 324 290 97 1.7k
Roh‐Eul Yoo South Korea 26 1.2k 1.2× 571 0.8× 445 1.3× 252 0.8× 328 1.1× 123 2.2k
Julia Furtner Austria 27 619 0.6× 828 1.1× 530 1.6× 402 1.2× 340 1.2× 118 2.1k
Clifford J. Eskey United States 22 536 0.5× 447 0.6× 330 1.0× 356 1.1× 624 2.2× 58 1.9k
Mika Kitajima Japan 31 2.0k 2.1× 913 1.2× 538 1.6× 332 1.0× 882 3.0× 115 3.4k
Seung Chai Jung South Korea 29 1.1k 1.1× 690 0.9× 639 1.9× 333 1.0× 500 1.7× 99 2.3k
Michael Iv United States 21 838 0.9× 424 0.6× 385 1.2× 282 0.9× 359 1.2× 85 1.8k
Marlies Wagner Germany 23 530 0.5× 314 0.4× 438 1.3× 328 1.0× 440 1.5× 125 1.8k
Jan Coburger Germany 22 325 0.3× 657 0.9× 184 0.6× 392 1.2× 160 0.6× 60 1.1k
Giovanni Morana Italy 25 450 0.5× 578 0.8× 339 1.0× 251 0.8× 465 1.6× 145 1.8k
Stefan Oberndorfer Austria 25 395 0.4× 948 1.3× 479 1.4× 346 1.1× 300 1.0× 80 1.9k

Countries citing papers authored by Yae Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Yae Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yae Won Park

This figure shows the co-authorship network connecting the top 25 collaborators of Yae Won Park. A scholar is included among the top collaborators of Yae Won 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 Yae Won Park. Yae Won 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.
Kickingereder, Philipp, Philipp Karschnia, Felix Sahm, et al.. (2025). A Radiologist's Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part I-Essential Information on Preoperative and Immediate Postoperative Imaging. Korean Journal of Radiology. 26(3). 246–246. 3 indexed citations
2.
Kickingereder, Philipp, Philipp Karschnia, Felix Sahm, et al.. (2025). A Radiologist’s Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part II–Essential Information on Post-Treatment Imaging. Korean Journal of Radiology. 26(4). 368–368. 1 indexed citations
3.
Kim, Kyungwon, Dong Woo Kim, Minho Lee, et al.. (2025). 68Ga-DOTATOC PET/CT in the Localization of Pituitary Tumors in Cushing’s Disease. Endocrinology and Metabolism. 40(4). 637–647.
4.
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.
5.
Sim, Yongsik, Andrew C. McClelland, Kyunghwa Han, et al.. (2025). A comprehensive multicenter analysis of clinical, molecular, and imaging characteristics and outcomes of H3 K27–altered diffuse midline glioma in adults. Journal of neurosurgery. 142(5). 1307–1318. 1 indexed citations
6.
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
7.
Lee, Byung Min, Jaeho Cho, Dong-Seok Kim, et al.. (2024). Differences in Treatment Outcomes Depending on the Adjuvant Treatment Modality in Craniopharyngioma. Yonsei Medical Journal. 66(3). 141–141. 1 indexed citations
8.
Park, Yae Won, Yongsik Sim, Seo Hee Choi, et al.. (2024). Revisiting gliomatosis cerebri in adult-type diffuse gliomas: a comprehensive imaging, genomic and clinical analysis. Acta Neuropathologica Communications. 12(1). 128–128. 2 indexed citations
9.
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
10.
Jun, Yohan, Yae Won Park, Hyungseob Shin, et al.. (2023). Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning. European Radiology. 33(9). 6124–6133. 8 indexed citations
11.
Kim, Tae Hyung, Jaeho Cho, Seok‐Gu Kang, et al.. (2023). High Radiation Dose to the Fornix Causes Symptomatic Radiation Necrosis in Patients with Anaplastic Oligodendroglioma. Yonsei Medical Journal. 65(1). 1–1. 1 indexed citations
12.
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
14.
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
15.
Park, Yae Won, Ji Eun Park, Sung Soo Ahn, et al.. (2021). Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation. Scientific Reports. 11(1). 2913–2913. 33 indexed citations
16.
Kim, Kyungwon, Yae Won Park, Daham Kim, et al.. (2020). Biochemical Remission after Cabergoline Withdrawal in Hyperprolactinemic Patients with Visible Remnant Pituitary Adenoma. The Journal of Clinical Endocrinology & Metabolism. 106(2). e615–e624. 9 indexed citations
17.
Chun, Min Young, Hee Kyung Park, Geon Ha Kim, et al.. (2020). Adult-Onset Neuronal Intranuclear Inclusion Disease: First Korean Case Confirmed by Skin Biopsy. Journal of Clinical Neurology. 16(4). 720–720. 5 indexed citations
18.
Park, Yae Won, Joonho Lee, Sung Soo Ahn, et al.. (2020). Differentiating patients with schizophrenia from healthy controls by hippocampal subfields using radiomics. Schizophrenia Research. 223. 337–344. 27 indexed citations
19.
Park, Yae Won, Song E. Kim, Kyunghwa Han, et al.. (2020). Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls. Scientific Reports. 10(1). 19567–19567. 27 indexed citations
20.

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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