Sz‐Wei Wu
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Genomics and Phylogenetic Studies 3
- RNA and protein synthesis mechanisms 2
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- Carbohydrate Chemistry and Synthesis 7
- Co-authors
- Kay‐Hooi Khoo (12 shared papers)Shin‐Yi Yu (1 shared paper)Rosa Viner (1 shared paper)Delphi Chatterjee (3 shared papers)Suh‐Yuen Liang (2 shared papers)Fang‐Yu Chang (2 shared papers)Michael McNeil (2 shared papers)Jian Zhang (1 shared paper)
- Journals
- PROTEOMICS (2 papers)Journal of Proteomics (2 papers)Scientific Reports (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)ACS Sensors (1 paper)
- Partner nations
- TaiwanUnited StatesThailand
In The Last Decade
Sz‐Wei Wu
14 papers receiving 427 citations
Peers
Comparison fields: 5 of 59
- Spectroscopy 142
- Molecular Biology 355
- Organic Chemistry 116
- Infectious Diseases 46
- Biotechnology 23
Countries citing papers authored by Sz‐Wei Wu
This map shows the geographic impact of Sz‐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 Sz‐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 Sz‐Wei Wu more than expected).
Fields of papers citing papers by Sz‐Wei Wu
This network shows the impact of papers produced by Sz‐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 Sz‐Wei Wu. The network helps show where Sz‐Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sz‐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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 79 | |
| 2 | 2006 | 75 | |
| 3 | 2013 | 55 | |
| 4 | 2011 | 50 | |
| 5 | 2006 | 39 | |
| 6 | 2007 | 31 | |
| 7 | 2013 | 29 | |
| 8 | 2018 | 21 | |
| 9 | 2014 | 17 | |
| 10 | 2014 | 16 | |
| 11 | 2012 | 8 | |
| 12 | 2011 | 7 | |
| 13 | 2005 | 3 | |
| 14 | 2011 | 2 |
About Sz‐Wei Wu
Sz‐Wei Wu is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Epidemiology and Spectroscopy, having authored 14 papers that have together received 432 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (7 papers), Genomics and Phylogenetic Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Mycobacterium research and diagnosis (2 papers), Hemoglobin structure and function (2 papers), RNA and protein synthesis mechanisms (2 papers) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Spectroscopy (142 citations), Molecular Biology (355 citations), Organic Chemistry (116 citations), Infectious Diseases (46 citations) and Biotechnology (23 citations). Sz‐Wei Wu has collaborated with scholars based in Taiwan, United States and Thailand. Frequent co-authors include Kay‐Hooi Khoo, Shin‐Yi Yu, Rosa Viner, Delphi Chatterjee, Suh‐Yuen Liang, Fang‐Yu Chang, Michael McNeil, Jian Zhang, Chong‐Jen Yu and Shui‐Tein Chen. Their work appears in journals such as PROTEOMICS, Journal of Proteomics, Scientific Reports, PROTEOMICS - CLINICAL APPLICATIONS and ACS Sensors.
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.