Tzu‐Wei Wu
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Behavioral Neuroscience top 10%
Papers in
-
- Cardiovascular Health and Disease Prevention 5
- Blood Pressure and Hypertension Studies 2
-
- Hepatitis B Virus Studies 5
- Co-authors
- Roberta Dı́az Brinton (2 shared papers)Liqin Zhao (1 shared paper)Liyu Wang (15 shared papers)Hans Hsienhong Lin (4 shared papers)Wei‐Ting Wang (1 shared paper)Che-Kun James Shen (1 shared paper)Kuen‐Jer Tsai (1 shared paper)Shuhua Chen (1 shared paper)
- Journals
- Hepatology (2 papers)Brain Research (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Atherosclerosis and Thrombosis (2 papers)Scientific Reports (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Tzu‐Wei Wu
22 papers receiving 795 citations
Peers
Comparison fields: 5 of 89
- Hepatology 140
- Behavioral Neuroscience 39
- Neurology 144
- Endocrinology, Diabetes and Metabolism 129
- Genetics 80
Countries citing papers authored by Tzu‐Wei Wu
This map shows the geographic impact of Tzu‐Wei 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 Tzu‐Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu‐Wei Wu more than expected).
Fields of papers citing papers by Tzu‐Wei Wu
This network shows the impact of papers produced by Tzu‐Wei 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 Tzu‐Wei Wu. The network helps show where Tzu‐Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tzu‐Wei 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 195 | |
| 2 | 2010 | 166 | |
| 3 | 1985 | 121 | |
| 4 | 2012 | 62 | |
| 5 | 2011 | 51 | |
| 6 | 2016 | 25 | |
| 7 | 2013 | 23 | |
| 8 | 2014 | 23 | |
| 9 | 2014 | 22 | |
| 10 | 1999 | 22 | |
| 11 | 2022 | 18 | |
| 12 | 2018 | 17 | |
| 13 | 2021 | 17 | |
| 14 | 2005 | 11 | |
| 15 | 2019 | 10 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 2 |
About Tzu‐Wei Wu
Tzu‐Wei Wu is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 24 papers that have together received 809 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Hepatitis C virus research (3 papers), Ion Transport and Channel Regulation (2 papers), Blood Pressure and Hypertension Studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Estrogen and related hormone effects (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Hepatology (140 citations), Behavioral Neuroscience (39 citations), Neurology (144 citations), Endocrinology, Diabetes and Metabolism (129 citations) and Genetics (80 citations). Tzu‐Wei Wu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Roberta Dı́az Brinton, Liqin Zhao, Liyu Wang, Hans Hsienhong Lin, Wei‐Ting Wang, Che-Kun James Shen, Kuen‐Jer Tsai, Shuhua Chen, Wei‐Lin Chien and Ching‐Po Lin. Their work appears in journals such as Hepatology, Brain Research, International Journal of Molecular Sciences, Journal of Atherosclerosis and Thrombosis and Scientific Reports.
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.