Yu-Hsin Wan
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
-
- Cytomegalovirus and herpesvirus research 3
-
- Immune Cell Function and Interaction 2
- Co-authors
- Andrew T. McGuire (7 shared papers)Leonidas Stamatatos (5 shared papers)Marie Pancera (5 shared papers)Nicholas K. Hurlburt (3 shared papers)Emilie Seydoux (4 shared papers)Andrew B. Stuart (2 shared papers)Leah J. Homad (6 shared papers)Anna J. MacCamy (3 shared papers)
- Journals
- Cell Reports (2 papers)Nature Communications (1 paper)Immunity (1 paper)Cell Reports Medicine (1 paper)npj Vaccines (1 paper)
- Partner nations
- United StatesSouth AfricaSpain
In The Last Decade
Yu-Hsin Wan
6 papers receiving 410 citations
Peers
Comparison fields: 5 of 37
- Infectious Diseases 316
- Animal Science and Zoology 50
- Modeling and Simulation 20
- Immunology 85
- Radiology, Nuclear Medicine and Imaging 77
Countries citing papers authored by Yu-Hsin Wan
This map shows the geographic impact of Yu-Hsin Wan'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 Yu-Hsin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Hsin Wan more than expected).
Fields of papers citing papers by Yu-Hsin Wan
This network shows the impact of papers produced by Yu-Hsin Wan. 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 Yu-Hsin Wan. The network helps show where Yu-Hsin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-Hsin Wan, 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 | 2020 | 210 | |
| 2 | 2020 | 103 | |
| 3 | 2022 | 51 | |
| 4 | 2020 | 33 | |
| 5 | 2021 | 11 | |
| 6 | 2024 | 4 | |
| 7 | 2025 | 0 | |
| 8 | 2026 | 0 |
About Yu-Hsin Wan
Yu-Hsin Wan is a scholar working on Epidemiology, Immunology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 412 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Viral Infections and Immunology Research (2 papers), Immune Cell Function and Interaction (2 papers), Animal Virus Infections Studies (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Infectious Diseases (316 citations), Animal Science and Zoology (50 citations), Modeling and Simulation (20 citations), Immunology (85 citations) and Radiology, Nuclear Medicine and Imaging (77 citations). Yu-Hsin Wan has collaborated with scholars based in United States, South Africa and Spain. Frequent co-authors include Andrew T. McGuire, Leonidas Stamatatos, Marie Pancera, Nicholas K. Hurlburt, Emilie Seydoux, Andrew B. Stuart, Leah J. Homad, Anna J. MacCamy, Madeleine F. Jennewein and Janet A. Englund. Their work appears in journals such as Cell Reports, Nature Communications, Immunity, Cell Reports Medicine and npj Vaccines.
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.