Wen‐Yang Wu
Impact in
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
Papers in
-
- Glycosylation and Glycoproteins Research 5
- RNA and protein synthesis mechanisms 2
-
- Influenza Virus Research Studies 7
- Co-authors
- Betty Jin (10 shared papers)Mark von Itzstein (6 shared papers)Michael S. Pegg (3 shared papers)Jeffrey C. Dyason (2 shared papers)Stuart W. Oliver (2 shared papers)Gaik B. Kok (2 shared papers)Peter M. Colman (3 shared papers)Charles R. Penn (1 shared paper)
- Journals
- Carbohydrate Research (3 papers)Scientific Reports (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Ecotoxicology (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Wen‐Yang Wu
21 papers receiving 2.2k citations
Wen‐Yang Wu's Hit Papers
Peers
Comparison fields: 5 of 133
- Epidemiology 1.0k
- Organic Chemistry 674
- Molecular Biology 1.2k
- Computational Theory and Mathematics 193
- Immunology 213
Countries citing papers authored by Wen‐Yang Wu
This map shows the geographic impact of Wen‐Yang 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 Wen‐Yang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Yang Wu more than expected).
Fields of papers citing papers by Wen‐Yang Wu
This network shows the impact of papers produced by Wen‐Yang 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 Wen‐Yang Wu. The network helps show where Wen‐Yang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen‐Yang 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rational design of potent sialidase-based inhibitors of influenza virus replication Hit paper breakdown → | 1993 | 1465 |
| 2 | 2022 | 141 | |
| 3 | 1994 | 122 | |
| 4 | 1993 | 121 | |
| 5 | 1996 | 84 | |
| 6 | 2015 | 57 | |
| 7 | 1993 | 57 | |
| 8 | 2004 | 44 | |
| 9 | 2023 | 42 | |
| 10 | 2003 | 42 | |
| 11 | 2014 | 28 | |
| 12 | 2022 | 24 | |
| 13 | 2003 | 23 | |
| 14 | 2022 | 21 | |
| 15 | 2000 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2016 | 16 | |
| 18 | 1997 | 6 | |
| 19 | 2003 | 5 | |
| 20 | 2022 | 4 |
About Wen‐Yang Wu
Wen‐Yang Wu is a scholar working on Molecular Biology, Epidemiology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Click Chemistry and Applications (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Chromium effects and bioremediation (2 papers), RNA and protein synthesis mechanisms (2 papers) and Advanced Materials and Mechanics (1 paper). The work is most often cited by research in Epidemiology (1.0k citations), Organic Chemistry (674 citations), Molecular Biology (1.2k citations), Computational Theory and Mathematics (193 citations) and Immunology (213 citations). Wen‐Yang Wu has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Betty Jin, Mark von Itzstein, Michael S. Pegg, Jeffrey C. Dyason, Stuart W. Oliver, Gaik B. Kok, Peter M. Colman, Charles R. Penn, J. M. Cameron and Richard C. Bethell. Their work appears in journals such as Carbohydrate Research, Scientific Reports, Bioorganic & Medicinal Chemistry Letters, Ecotoxicology and Journal of Medicinal Chemistry.
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.