Ta-Wei Liu
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Organic Chemistry top 10%
- Carbohydrate Chemistry and Synthesis
Papers in
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- Glycosylation and Glycoproteins Research 10
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- Carbohydrate Chemistry and Synthesis 7
- Co-authors
- David J. Vocadlo (5 shared papers)Samy Cecioni (3 shared papers)Meng‐Fan Chang (4 shared papers)Wesley F. Zandberg (2 shared papers)Cheng-Xin Xue (3 shared papers)Hui-Yao Kao (3 shared papers)Chung‐Chuan Lo (3 shared papers)Chih-Cheng Hsieh (3 shared papers)
- Journals
- ACS Chemical Biology (2 papers)Nature Chemical Biology (2 papers)Glycobiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Phytochemistry (1 paper)
- Partner nations
- TaiwanUnited StatesVietnam
In The Last Decade
Ta-Wei Liu
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Electrical and Electronic Engineering 454
- Organic Chemistry 191
- Hardware and Architecture 47
- Hepatology 43
- Molecular Biology 349
Countries citing papers authored by Ta-Wei Liu
This map shows the geographic impact of Ta-Wei Liu'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 Ta-Wei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ta-Wei Liu more than expected).
Fields of papers citing papers by Ta-Wei Liu
This network shows the impact of papers produced by Ta-Wei Liu. 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 Ta-Wei Liu. The network helps show where Ta-Wei Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ta-Wei Liu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 187 | |
| 2 | 2021 | 149 | |
| 3 | 2015 | 115 | |
| 4 | 2021 | 90 | |
| 5 | 2009 | 67 | |
| 6 | 2010 | 36 | |
| 7 | 2016 | 34 | |
| 8 | 2008 | 31 | |
| 9 | 2020 | 30 | |
| 10 | 2016 | 29 | |
| 11 | 2011 | 28 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 19 | |
| 14 | 2015 | 18 | |
| 15 | 2022 | 14 | |
| 16 | 2011 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2019 | 13 |
About Ta-Wei Liu
Ta-Wei Liu is a scholar working on Molecular Biology, Organic Chemistry, Electrical and Electronic Engineering, Hepatology and Pharmacology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Hepatitis C virus research (8 papers), Carbohydrate Chemistry and Synthesis (7 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Galectins and Cancer Biology (4 papers), Advanced Memory and Neural Computing (4 papers), Phytochemistry and Biological Activities (4 papers) and Nanowire Synthesis and Applications (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (454 citations), Organic Chemistry (191 citations), Hardware and Architecture (47 citations), Hepatology (43 citations) and Molecular Biology (349 citations). Ta-Wei Liu has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include David J. Vocadlo, Samy Cecioni, Meng‐Fan Chang, Wesley F. Zandberg, Cheng-Xin Xue, Hui-Yao Kao, Chung‐Chuan Lo, Chih-Cheng Hsieh, Ren-Shuo Liu and Yanping Zhu. Their work appears in journals such as ACS Chemical Biology, Nature Chemical Biology, Glycobiology, Proceedings of the National Academy of Sciences and Phytochemistry.
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.