Ju‐Seog Lee
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research 22
- Cancer Genomics and Diagnostics 16
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis 21
- Oncology top 0.5%
- Cancer-related Molecular Pathways 16
- Molecular Biology top 0.5%
- RNA modifications and cancer 38
- Cancer-related gene regulation 22
- Cell Biology top 0.5%
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- Ferroptosis and cancer prognosis 22
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- Liver Disease Diagnosis and Treatment 17
- Co-authors
- Snorri S. ThorgeirssonDiego F. CalvisiIn‐Sun ChuJeonghoon HeoSang-Bae KimTania RoskamsZongtang SunAnthony J. Demetris
- Cited by
- Cancer ResearchHepatologyOncology
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Ju‐Seog Lee
213 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 3.9k
- Hepatology 1.9k
- Oncology 3.7k
- Molecular Biology 7.9k
- Cell Biology 1.6k
Countries citing papers authored by Ju‐Seog Lee
This map shows the geographic impact of Ju‐Seog 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 Ju‐Seog Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju‐Seog Lee more than expected).
Fields of papers citing papers by Ju‐Seog Lee
This network shows the impact of papers produced by Ju‐Seog 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 Ju‐Seog Lee. The network helps show where Ju‐Seog Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ju‐Seog 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 | 2 | |
| 2 | 2018 | 16 | |
| 3 | 2017 | 37 | |
| 4 | 2015 | 101 | |
| 5 | 2014 | 41 | |
| 6 | 2014 | 132 | |
| 7 | 2014 | 53 | |
| 8 | 2014 | 15 | |
| 9 | 2014 | 120 | |
| 10 | 2012 | 79 | |
| 11 | 2012 | 48 | |
| 12 | 2011 | 32 | |
| 13 | 2011 | 64 | |
| 14 | 2011 | 202 | |
| 15 | Hippo signaling is a potent in vivo growth and tumor suppressor pathway in the mammalian liverbreakdown → | 2010 | 586 |
| 16 | 2010 | 71 | |
| 17 | A Unique Metastasis Gene Signature Enables Prediction of Tumor Relapse in Early-Stage Hepatocellular Carcinoma Patientsbreakdown → | 2010 | 757 |
| 18 | 2009 | 111 | |
| 19 | 2009 | 74 | |
| 20 | 2008 | 123 |
About Ju‐Seog Lee
Ju‐Seog Lee is a scholar working on Cancer Research, Hepatology, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 218 papers that have together received 13.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (38 papers), Ferroptosis and cancer prognosis (22 papers), Cancer-related molecular mechanisms research (22 papers), Cancer-related gene regulation (22 papers), Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Liver Disease Diagnosis and Treatment (17 papers), Cancer-related Molecular Pathways (16 papers) and Cancer Genomics and Diagnostics (16 papers). The work is most often cited by research in Cancer Research (3.9k citations), Hepatology (1.9k citations), Oncology (3.7k citations), Molecular Biology (7.9k citations) and Cell Biology (1.6k citations). Ju‐Seog Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Snorri S. Thorgeirsson, Diego F. Calvisi, In‐Sun Chu, Jeonghoon Heo, Sang-Bae Kim, Tania Roskams, Zongtang Sun, Anthony J. Demetris, Yun‐Yong Park and Valentina M. Factor. Their work appears in journals such as Cancer Research, Oncotarget, PLoS ONE, Clinical Cancer Research and Hepatology.
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.