Jian–Te Lee
Impact in
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
- Hepatitis C virus research
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Respiratory viral infections research
Papers in
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- Viral gastroenteritis research and epidemiology 7
- SARS-CoV-2 and COVID-19 Research 1
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- Viral Infections and Immunology Research 6
- Co-authors
- Luan‐Yin Chang (9 shared papers)Li‐Min Huang (10 shared papers)Ping‐Ing Lee (3 shared papers)Chun‐Yi Lu (7 shared papers)Chia‐Hsiang Chu (1 shared paper)Wan‐Hsin Wen (1 shared paper)Ming‐Kwang Shyu (1 shared paper)Yen‐Hsuan Ni (1 shared paper)
In The Last Decade
Jian–Te Lee
12 papers receiving 330 citations
Peers
Comparison fields: 5 of 42
- Hepatology 191
- Epidemiology 255
- Infectious Diseases 111
- Cardiology and Cardiovascular Medicine 53
- Health 17
Countries citing papers authored by Jian–Te Lee
This map shows the geographic impact of Jian–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 Jian–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 Jian–Te Lee more than expected).
Fields of papers citing papers by Jian–Te Lee
This network shows the impact of papers produced by Jian–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 Jian–Te Lee. The network helps show where Jian–Te Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jian–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
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 190 | |
| 2 | Epidemiology of respiratory syncytial virus infection in northern Taiwan, 2001-2005 -- seasonality, clinical characteristics, and disease burden. | 2007 | 44 |
| 3 | 2013 | 21 | |
| 4 | 2020 | 17 | |
| 5 | 2014 | 16 | |
| 6 | 2018 | 12 | |
| 7 | 2019 | 9 | |
| 8 | 2008 | 8 | |
| 9 | 2019 | 6 | |
| 10 | Trisomy 18 in monozygotic twins with discordant phenotypes. | 2004 | 6 |
| 11 | 2020 | 4 | |
| 12 | 2021 | 3 |
About Jian–Te Lee
Jian–Te Lee is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Hepatology and Agronomy and Crop Science, having authored 12 papers that have together received 336 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), Viral Infections and Immunology Research (6 papers), Respiratory viral infections research (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Animal Disease Management and Epidemiology (2 papers), Cleft Lip and Palate Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Congenital Anomalies and Fetal Surgery (1 paper). The work is most often cited by research in Hepatology (191 citations), Epidemiology (255 citations), Infectious Diseases (111 citations), Cardiology and Cardiovascular Medicine (53 citations) and Health (17 citations). Jian–Te Lee has collaborated with scholars based in Taiwan and China. Frequent co-authors include Luan‐Yin Chang, Li‐Min Huang, Ping‐Ing Lee, Chun‐Yi Lu, Chia‐Hsiang Chu, Wan‐Hsin Wen, Ming‐Kwang Shyu, Yen‐Hsuan Ni, Hong‐Yuan Hsu and Cheng–Lun Chiang. Their work appears in journals such as PLoS ONE, Journal of Microbiology Immunology and Infection, Pediatric Research, Vaccine and Gastroenterology.
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.