Ilwoo Park

4.0k total citations · 1 hit paper
54 papers, 1.9k citations indexed

About

Ilwoo Park is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ilwoo Park has authored 54 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Spectroscopy and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ilwoo Park's work include Advanced NMR Techniques and Applications (28 papers), Advanced MRI Techniques and Applications (26 papers) and Atomic and Subatomic Physics Research (12 papers). Ilwoo Park is often cited by papers focused on Advanced NMR Techniques and Applications (28 papers), Advanced MRI Techniques and Applications (26 papers) and Atomic and Subatomic Physics Research (12 papers). Ilwoo Park collaborates with scholars based in South Korea, United States and Vietnam. Ilwoo Park's co-authors include Sung Eun Chang, Seung Seog Han, Myoung Shin Kim, Gyeong‐Hun Park, Woohyung Lim, Sarah J. Nelson, Daniel B. Vigneron, Robert Bok, Sabrina M. Ronen and C. David James and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ilwoo Park

52 papers receiving 1.9k citations

Hit Papers

Classification of the Clinical Images for Benign and Mali... 2018 2026 2020 2023 2018 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. Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
    2018 446 citations Seung Seog Han, Myoung Shin Kim et al. Journal of Investigative Dermatology profile →

Peers

Ilwoo Park
Elena Provenzano United Kingdom
Jingfei Ma United States
Mark Kriegsmann Germany
Peter J. Schüffler Switzerland
David Fuentes United States
R.J. Ott United Kingdom
Clifford Hoyt United States
Javier Villanueva-Meyer United States
Yann Jamin United Kingdom
Carles Majós Spain
Elena Provenzano United Kingdom
Ilwoo Park
Citations per year, relative to Ilwoo Park Ilwoo Park (= 1×) peers Elena Provenzano

Countries citing papers authored by Ilwoo Park

Since Specialization
Citations

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

Fields of papers citing papers by Ilwoo Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilwoo Park

This figure shows the co-authorship network connecting the top 25 collaborators of Ilwoo Park. A scholar is included among the top collaborators of Ilwoo 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 Ilwoo Park. Ilwoo 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.
Oh, Kyung Jin, et al.. (2024). Investigation and quantification of composition variability in urinary stone analysis. Investigative and Clinical Urology. 65(5). 511–511.
2.
Baek, Byung Hyun, et al.. (2024). Comparison of Normalization Techniques for Radiomics Features From Magnetic Resonance Imaging in Predicting Histologic Grade of Meningiomas. Investigative Magnetic Resonance Imaging. 28(2). 61–61. 1 indexed citations
3.
Nguyen, Tien Anh, et al.. (2024). Accurate prediction of pure uric acid urinary stones in clinical context via a combination of radiomics and machine learning. World Journal of Urology. 42(1). 150–150. 1 indexed citations
4.
5.
Park, Jae Young, et al.. (2023). Predicting Histologic Grade of Meningiomas Using a Combined Model of Radiomic and Clinical Imaging Features from Preoperative MRI. Biomedicines. 11(12). 3268–3268. 9 indexed citations
6.
Przystal, Justyna M., Ilwoo Park, Jie Zhang, et al.. (2023). Efficacy of convection enhanced delivery of MTX110 (soluble panobinostat) in preclinical Diffuse Intrinsic Pontine Glioma models using metabolic hyperpolarized 13C imaging. SHILAP Revista de lepidopterología. 2. 100021–100021. 5 indexed citations
7.
Kim, Seul Kee, et al.. (2022). Application of Machine Learning and Deep Learning in Imaging of Ischemic Stroke. Investigative Magnetic Resonance Imaging. 26(4). 191–191. 1 indexed citations
8.
Park, Ilwoo, et al.. (2022). Optimization of Scan Parameters for in vivo Hyperpolarized Carbon-13 Magnetic Resonance Spectroscopic Imaging. Investigative Magnetic Resonance Imaging. 26(2). 125–125.
9.
Park, Ilwoo, Seul Kee Kim, Juhyun Song, et al.. (2021). Differentiating Radiation Necrosis from Brain Tumor Using Hyperpolarized Carbon-13 MR Metabolic Imaging. Molecular Imaging and Biology. 23(3). 417–426. 13 indexed citations
10.
Han, Seung Seog, Ik Jun Moon, Seong Hwan Kim, et al.. (2020). Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study. PLoS Medicine. 17(11). e1003381–e1003381. 31 indexed citations
11.
Moon, Chung‐Man, Sang Soo Shin, Suchithra Poilil Surendran, et al.. (2019). Metabolic Changes in Different Stages of Liver Fibrosis: In vivo Hyperpolarized 13C MR Spectroscopy and Metabolic Imaging. Molecular Imaging and Biology. 21(5). 842–851. 10 indexed citations
12.
Han, Seung Seog, Myoung Shin Kim, Woohyung Lim, et al.. (2018). Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. Journal of Investigative Dermatology. 138(7). 1529–1538. 446 indexed citations breakdown →
13.
14.
Nelson, Sarah J., Ilwoo Park, Yan Li, et al.. (2016). Association of early changes in1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen. Neuro-Oncology. 19(3). now159–now159. 23 indexed citations
15.
Li, Yan, Ilwoo Park, & Sarah J. Nelson. (2015). Imaging Tumor Metabolism Using In Vivo Magnetic Resonance Spectroscopy. The Cancer Journal. 21(2). 123–128. 32 indexed citations
16.
Park, Ilwoo, Joydeep Mukherjee, Motokazu Ito, et al.. (2014). Changes in Pyruvate Metabolism Detected by Magnetic Resonance Imaging Are Linked to DNA Damage and Serve as a Sensor of Temozolomide Response in Glioblastoma Cells. Cancer Research. 74(23). 7115–7124. 58 indexed citations
17.
18.
Chaumeil, Myriam M., Tomoko Ozawa, Ilwoo Park, et al.. (2011). Hyperpolarized 13C MR spectroscopic imaging can be used to monitor Everolimus treatment in vivo in an orthotopic rodent model of glioblastoma. NeuroImage. 59(1). 193–201. 80 indexed citations
19.
Zierhut, Matthew L., Esin Öztürk-Işık, Albert P. Chen, et al.. (2009). 1H spectroscopic imaging of human brain at 3 Tesla: Comparison of fast three‐dimensional magnetic resonance spectroscopic imaging techniques. Journal of Magnetic Resonance Imaging. 30(3). 473–480. 32 indexed citations
20.
Zierhut, Matthew L., Yi‐Fen Yen, Albert P. Chen, et al.. (2009). Kinetic modeling of hyperpolarized 13C1-pyruvate metabolism in normal rats and TRAMP mice. Journal of Magnetic Resonance. 202(1). 85–92. 131 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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