Jun Hee Lee
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Breast Cancer Treatment Studies 7
- Co-authors
- Ryan G. HolzerHiroyuki TakahashiSyed R. AliGuann‐Yi YuChristoph H. ÖsterreicherEek Joong ParkMichael KarinGuobin He
- Journals
- Cancers (2 papers)Surgical Endoscopy (2 papers)Journal of Korean Medical Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Anticancer Research (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jun Hee Lee
65 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Hepatology 419
- Cancer Research 680
- Aging 64
- Immunology 658
- Epidemiology 1.0k
Countries citing papers authored by Jun Hee Lee
This map shows the geographic impact of Jun Hee 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 Jun Hee Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hee Lee more than expected).
Fields of papers citing papers by Jun Hee Lee
This network shows the impact of papers produced by Jun Hee 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 Jun Hee Lee. The network helps show where Jun Hee Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Hee 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 5 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 24 | |
| 13 | 2017 | 210 | |
| 14 | 2015 | 5 | |
| 15 | 2015 | 20 | |
| 16 | 2013 | 69 | |
| 17 | 2012 | 16 | |
| 18 | 2006 | 58 | |
| 19 | 2006 | 47 | |
| 20 | A CLINICAL STUDY OF ACONITINE POISONING | 1995 | 1 |
About Jun Hee Lee
Jun Hee Lee is a scholar working on Cancer Research, Hepatology, Pathology and Forensic Medicine, Gastroenterology and Surgery, having authored 71 papers that have together received 3.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Cancer-related Molecular Pathways (3 papers), Gastric Cancer Management and Outcomes (3 papers), Metastasis and carcinoma case studies (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hepatology (419 citations), Cancer Research (680 citations), Aging (64 citations), Immunology (658 citations) and Epidemiology (1.0k citations). Jun Hee Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Ryan G. Holzer, Hiroyuki Takahashi, Syed R. Ali, Guann‐Yi Yu, Christoph H. Österreicher, Eek Joong Park, Michael Karin, Guobin He, Jongkyeong Chung and Soo Young Lee. Their work appears in journals such as Cancers, Surgical Endoscopy, Journal of Korean Medical Science, Proceedings of the National Academy of Sciences and Anticancer Research.
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.