Ji Eun Lee
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
Papers in
- Co-authors
- Seong Hyun Kim (8 shared papers)Sunyoung Lee (19 shared papers)Cheol Keun Park (2 shared papers)Dong Hyun Sinn (1 shared paper)Seo‐Youn Choi (17 shared papers)Jeong Ah Hwang (23 shared papers)Ji Hye Min (10 shared papers)Bora Lee (6 shared papers)
- Journals
- European Radiology (9 papers)Abdominal Radiology (6 papers)Radiology (4 papers)PLoS ONE (2 papers)Medicine (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Ji Eun Lee
79 papers receiving 1.4k citations
Ji Eun Lee's Hit Papers
Peers
Comparison fields: 5 of 98
- Hepatology 643
- Oncology 280
- Radiology, Nuclear Medicine and Imaging 167
- Cancer Research 79
- Epidemiology 168
Countries citing papers authored by Ji Eun Lee
This map shows the geographic impact of Ji Eun Lee'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 Lee 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 Lee more than expected).
Fields of papers citing papers by Ji Eun Lee
This network shows the impact of papers produced by Ji Eun Lee. 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 Lee. The network helps show where Ji Eun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Eun Lee, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Preoperative gadoxetic acid–enhanced MRI for predicting microvascular invasion in patients with single hepatocellular carcinoma Hit paper breakdown → | 2017 | 358 |
| 2 | 2017 | 120 | |
| 3 | 2020 | 83 | |
| 4 | 2012 | 68 | |
| 5 | 2019 | 53 | |
| 6 | 2018 | 53 | |
| 7 | 2019 | 51 | |
| 8 | 2014 | 35 | |
| 9 | 2012 | 33 | |
| 10 | 2023 | 27 | |
| 11 | 2014 | 25 | |
| 12 | 2020 | 23 | |
| 13 | 2012 | 23 | |
| 14 | 2023 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2021 | 20 | |
| 17 | 2018 | 20 | |
| 18 | 2014 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2021 | 17 |
About Ji Eun Lee
Ji Eun Lee is a scholar working on Oncology, Surgery, Hepatology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Pancreatic and Hepatic Oncology Research (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Gallbladder and Bile Duct Disorders (4 papers), MRI in cancer diagnosis (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (643 citations), Oncology (280 citations), Radiology, Nuclear Medicine and Imaging (167 citations), Cancer Research (79 citations) and Epidemiology (168 citations). Ji Eun Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Seong Hyun Kim, Sunyoung Lee, Cheol Keun Park, Dong Hyun Sinn, Seo‐Youn Choi, Jeong Ah Hwang, Ji Hye Min, Bora Lee, Sang Yun Ha and Yoon‐Hyeong Choi. Their work appears in journals such as European Radiology, Abdominal Radiology, Radiology, PLoS ONE and Medicine.
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.