Yi‐Te Lee
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Cancer Genomics and Diagnostics
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 9
- Liver Disease and Transplantation 2
-
- Cancer Genomics and Diagnostics 6
- Co-authors
- Ju Dong Yang (17 shared papers)Hsian‐Rong Tseng (15 shared papers)Vatche G. Agopian (9 shared papers)Yazhen Zhu (12 shared papers)Jasmine J. Wang (8 shared papers)Mazen Noureddin (7 shared papers)Amit G. Singal (8 shared papers)Sungyong You (10 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Hepatology (4 papers)Clinical Gastroenterology and Hepatology (2 papers)Clinical and Molecular Hepatology (2 papers)Hepatology Communications (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Yi‐Te Lee
26 papers receiving 578 citations
Peers
Comparison fields: 5 of 67
- Hepatology 243
- Cancer Research 112
- Oncology 115
- Epidemiology 142
- Pulmonary and Respiratory Medicine 61
Countries citing papers authored by Yi‐Te Lee
This map shows the geographic impact of Yi‐Te 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 Yi‐Te Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Te Lee more than expected).
Fields of papers citing papers by Yi‐Te Lee
This network shows the impact of papers produced by Yi‐Te 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 Yi‐Te Lee. The network helps show where Yi‐Te Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Te 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2022 | 76 | |
| 3 | 2021 | 67 | |
| 4 | 2021 | 50 | |
| 5 | 2022 | 47 | |
| 6 | 2024 | 45 | |
| 7 | 2021 | 43 | |
| 8 | 2022 | 39 | |
| 9 | 2021 | 28 | |
| 10 | 2021 | 23 | |
| 11 | 2020 | 16 | |
| 12 | 2005 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2024 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2011 | 2 | |
| 20 | 2023 | 2 |
About Yi‐Te Lee
Yi‐Te Lee is a scholar working on Hepatology, Cancer Research, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 583 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cancer Genomics and Diagnostics (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Extracellular vesicles in disease (3 papers), Prostate Cancer Treatment and Research (2 papers), Liver Disease and Transplantation (2 papers), Molecular Biology Techniques and Applications (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Hepatology (243 citations), Cancer Research (112 citations), Oncology (115 citations), Epidemiology (142 citations) and Pulmonary and Respiratory Medicine (61 citations). Yi‐Te Lee has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ju Dong Yang, Hsian‐Rong Tseng, Vatche G. Agopian, Yazhen Zhu, Jasmine J. Wang, Mazen Noureddin, Amit G. Singal, Sungyong You, Naoto Fujiwara and Yujin Hoshida. Their work appears in journals such as Journal of Clinical Oncology, Hepatology, Clinical Gastroenterology and Hepatology, Clinical and Molecular Hepatology and Hepatology Communications.
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.