I-Hsuan Wang
Impact in
Papers in
-
- Influenza Virus Research Studies 4
- Respiratory viral infections research 2
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- Nuclear Structure and Function 2
- RNA Research and Splicing 2
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Urs F. Greber (5 shared papers)Christoph J. Burckhardt (3 shared papers)Artur Yakimovich (3 shared papers)Vardan Andriasyan (2 shared papers)Maarit Suomalainen (2 shared papers)Yoshihiro Kawaoka (5 shared papers)Karin Boucke (1 shared paper)Philipp Schoenenberger (1 shared paper)
- Journals
- Cell Host & Microbe (2 papers)Journal of Virology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biomedical Science (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
I-Hsuan Wang
12 papers receiving 611 citations
Peers
Comparison fields: 5 of 68
- Virology 60
- Genetics 246
- Biophysics 41
- Infectious Diseases 127
- Epidemiology 183
Countries citing papers authored by I-Hsuan Wang
This map shows the geographic impact of I-Hsuan Wang'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 I-Hsuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-Hsuan Wang more than expected).
Fields of papers citing papers by I-Hsuan Wang
This network shows the impact of papers produced by I-Hsuan Wang. 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 I-Hsuan Wang. The network helps show where I-Hsuan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside I-Hsuan Wang, 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 | 2011 | 159 | |
| 2 | 2013 | 128 | |
| 3 | 2018 | 79 | |
| 4 | 2009 | 53 | |
| 5 | 2019 | 45 | |
| 6 | 2015 | 39 | |
| 7 | 2018 | 34 | |
| 8 | 2017 | 33 | |
| 9 | 2020 | 31 | |
| 10 | 2019 | 14 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2023 | 0 |
About I-Hsuan Wang
I-Hsuan Wang is a scholar working on Epidemiology, Molecular Biology, Immunology, Genetics and Infectious Diseases, having authored 13 papers that have together received 619 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Influenza Virus Research Studies (4 papers), interferon and immune responses (2 papers), Nuclear Structure and Function (2 papers), RNA Research and Splicing (2 papers), COVID-19 Clinical Research Studies (2 papers), Respiratory viral infections research (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Virology (60 citations), Genetics (246 citations), Biophysics (41 citations), Infectious Diseases (127 citations) and Epidemiology (183 citations). I-Hsuan Wang has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Urs F. Greber, Christoph J. Burckhardt, Artur Yakimovich, Vardan Andriasyan, Maarit Suomalainen, Yoshihiro Kawaoka, Karin Boucke, Philipp Schoenenberger, Martin F. Engelke and Daniel Püntener. Their work appears in journals such as Cell Host & Microbe, Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Biomedical Science and Nature Communications.
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.