Ying‐Ta Wu
Impact in
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
- Synthesis and biological activity
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Glycosylation and Glycoproteins Research 9
- Chemical Synthesis and Analysis 6
- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 4
- Biochemical and Structural Characterization 3
-
- Carbohydrate Chemistry and Synthesis 10
- Co-authors
- Chi‐Huey Wong (13 shared papers)Shui-Tein Chen (4 shared papers)Chun‐Ming Huang (3 shared papers)Wei‐Chieh Cheng (6 shared papers)Ting-Jen Rachel Cheng (11 shared papers)Chih‐Jung Kuo (2 shared papers)Ming‐Daw Tsai (4 shared papers)Pi‐Hui Liang (2 shared papers)
- Journals
- ACS Chemical Biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Bioorganic & Medicinal Chemistry (3 papers)Chemical Communications (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Ying‐Ta Wu
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Organic Chemistry 397
- Infectious Diseases 236
- Computational Theory and Mathematics 179
- Molecular Biology 696
- Immunology 188
Countries citing papers authored by Ying‐Ta Wu
This map shows the geographic impact of Ying‐Ta 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 Ying‐Ta Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Ta Wu more than expected).
Fields of papers citing papers by Ying‐Ta Wu
This network shows the impact of papers produced by Ying‐Ta 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 Ying‐Ta Wu. The network helps show where Ying‐Ta Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying‐Ta 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 154 | |
| 2 | 2021 | 130 | |
| 3 | 2006 | 105 | |
| 4 | 2006 | 100 | |
| 5 | 2008 | 96 | |
| 6 | 2010 | 94 | |
| 7 | 2000 | 77 | |
| 8 | 2011 | 72 | |
| 9 | 2015 | 60 | |
| 10 | 2010 | 57 | |
| 11 | 2016 | 35 | |
| 12 | 2006 | 30 | |
| 13 | 2007 | 28 | |
| 14 | 2013 | 28 | |
| 15 | 1999 | 27 | |
| 16 | 2001 | 25 | |
| 17 | 2006 | 20 | |
| 18 | 2013 | 20 | |
| 19 | 1998 | 18 | |
| 20 | 2013 | 17 |
About Ying‐Ta Wu
Ying‐Ta Wu is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Oncology and Computational Theory and Mathematics, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (10 papers), Glycosylation and Glycoproteins Research (9 papers), Chemical Synthesis and Analysis (6 papers), Computational Drug Discovery Methods (5 papers), Influenza Virus Research Studies (5 papers), Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Organic Chemistry (397 citations), Infectious Diseases (236 citations), Computational Theory and Mathematics (179 citations), Molecular Biology (696 citations) and Immunology (188 citations). Ying‐Ta Wu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chi‐Huey Wong, Shui-Tein Chen, Chun‐Ming Huang, Wei‐Chieh Cheng, Ting-Jen Rachel Cheng, Chih‐Jung Kuo, Ming‐Daw Tsai, Pi‐Hui Liang, Chung‐Yi Wu and Shyh‐Fong Chen. Their work appears in journals such as ACS Chemical Biology, Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry, Chemical Communications and Bioorganic & Medicinal Chemistry Letters.
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.