Han‐Chieh Wu
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Epidemiology top 5%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Autophagy in Disease and Therapy
Papers in
- Epidemiology 28
- Hepatitis B Virus Studies 19
- Liver Disease Diagnosis and Treatment 10
- Hepatology 17
- Hepatitis C virus research 10
- Hepatocellular Carcinoma Treatment and Prognosis 6
- Liver physiology and pathology 6
- Co-authors
- Ih‐Jen Su (12 shared papers)Hui‐Ching Wang (3 shared papers)Ih‐Jen Su (14 shared papers)Chiao‐Fang Teng (16 shared papers)Wenya Huang (8 shared papers)Nelson Fausto (2 shared papers)Huan‐Yao Lei (2 shared papers)Chien‐Fu Chen (1 shared paper)
- Journals
- Scientific Reports (4 papers)Hepatology (3 papers)PLoS ONE (3 papers)Microbial Genomics (2 papers)Viruses (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Han‐Chieh Wu
49 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Hepatology 698
- Epidemiology 956
- Cell Biology 204
- Molecular Medicine 51
- Endocrinology 39
Countries citing papers authored by Han‐Chieh Wu
This map shows the geographic impact of Han‐Chieh Wu'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 Han‐Chieh Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han‐Chieh Wu more than expected).
Fields of papers citing papers by Han‐Chieh Wu
This network shows the impact of papers produced by Han‐Chieh Wu. 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 Han‐Chieh Wu. The network helps show where Han‐Chieh Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Han‐Chieh Wu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 194 | |
| 2 | 2008 | 120 | |
| 3 | 2005 | 108 | |
| 4 | 2009 | 103 | |
| 5 | 2014 | 59 | |
| 6 | 2011 | 58 | |
| 7 | 2011 | 56 | |
| 8 | 2015 | 55 | |
| 9 | 2009 | 45 | |
| 10 | 2002 | 44 | |
| 11 | 2019 | 42 | |
| 12 | 1995 | 40 | |
| 13 | 2014 | 40 | |
| 14 | 2009 | 37 | |
| 15 | 2012 | 29 | |
| 16 | 2014 | 27 | |
| 17 | 2016 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2019 | 24 | |
| 20 | 2017 | 24 |
About Han‐Chieh Wu
Han‐Chieh Wu is a scholar working on Epidemiology, Hepatology, Molecular Biology, Infectious Diseases and Ecology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (19 papers), Hepatitis C virus research (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Liver physiology and pathology (6 papers), Bacteriophages and microbial interactions (5 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Hepatology (698 citations), Epidemiology (956 citations), Cell Biology (204 citations), Molecular Medicine (51 citations) and Endocrinology (39 citations). Han‐Chieh Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ih‐Jen Su, Hui‐Ching Wang, Ih‐Jen Su, Chiao‐Fang Teng, Wenya Huang, Nelson Fausto, Huan‐Yao Lei, Chien‐Fu Chen, Hung-Wen Tsai and Hung‐Wen Tsai. Their work appears in journals such as Scientific Reports, Hepatology, PLoS ONE, Microbial Genomics and Viruses.
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.