Ji Eun Park
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Health Informatics top 1%
Papers in
- Genetics 59
- Glioma Diagnosis and Treatment 58
-
- Radiomics and Machine Learning in Medical Imaging 27
- MRI in cancer diagnosis 17
- Advanced MRI Techniques and Applications 12
- Medical Imaging Techniques and Applications 6
- Co-authors
- Ho Sung Kim (98 shared papers)Seo Young Park (26 shared papers)Sang Joon Kim (33 shared papers)Jeong Hoon Kim (23 shared papers)Young‐Hoon Kim (30 shared papers)Jung Youn Kim (7 shared papers)Hwa Jung Kim (2 shared papers)Soo Jung Nam (8 shared papers)
- Journals
- European Radiology (28 papers)Korean Journal of Radiology (17 papers)Scientific Reports (14 papers)Radiology (11 papers)American Journal of Neuroradiology (9 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Ji Eun Park
234 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 154
- Genetics 1.0k
- Health Informatics 109
- Radiology, Nuclear Medicine and Imaging 1.7k
- Neurology 316
- Neurology 166
Countries citing papers authored by Ji Eun Park
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
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-authors
The 25 scholars most cited alongside Ji Eun Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 262 | |
| 2 | 2019 | 203 | |
| 3 | 2018 | 181 | |
| 4 | 2018 | 117 | |
| 5 | 2019 | 115 | |
| 6 | 2020 | 100 | |
| 7 | 2015 | 90 | |
| 8 | 2020 | 86 | |
| 9 | 2020 | 78 | |
| 10 | 2019 | 77 | |
| 11 | 2016 | 76 | |
| 12 | 2022 | 73 | |
| 13 | 2018 | 73 | |
| 14 | 2021 | 68 | |
| 15 | 2020 | 64 | |
| 16 | 2020 | 60 | |
| 17 | 2010 | 60 | |
| 18 | 2021 | 58 | |
| 19 | 2020 | 57 | |
| 20 | 2015 | 57 |
About Ji Eun Park
Ji Eun Park is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Neurology and Epidemiology, having authored 251 papers that have together received 4.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (58 papers), Radiomics and Machine Learning in Medical Imaging (27 papers), MRI in cancer diagnosis (17 papers), Advanced MRI Techniques and Applications (12 papers), Lanthanide and Transition Metal Complexes (11 papers), Brain Metastases and Treatment (11 papers), CNS Lymphoma Diagnosis and Treatment (10 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Genetics (1.0k citations), Health Informatics (109 citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Neurology (316 citations) and Neurology (166 citations). Ji Eun Park has collaborated with scholars based in South Korea, United States and Germany. Frequent 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. Their work appears in journals such as European Radiology, Korean Journal of Radiology, Scientific Reports, Radiology and American Journal of Neuroradiology.
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.