Pin Yü
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 2%
Papers in ⓘ
-
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 8
- Viral gastroenteritis research and epidemiology 6
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- Animal Virus Infections Studies 4
- Co-authors
- Chuan Qin (28 shared papers)Linlin Bao (21 shared papers)Yanfeng Xu (21 shared papers)Hua Zhu (9 shared papers)Yajin Qu (8 shared papers)Yunlin Han (9 shared papers)Zhiqi Song (7 shared papers)Wenjie Zhao (8 shared papers)
- Journals
- Virology Journal (3 papers)Journal of General Virology (2 papers)Viruses (2 papers)The Journal of Infectious Diseases (2 papers)Brain Research (2 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Pin Yü
34 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Infectious Diseases 1.4k
- Modeling and Simulation 115
- Neurology 354
- Animal Science and Zoology 176
- Immunology 191
Countries citing papers authored by Pin Yü
This map shows the geographic impact of Pin Yü'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 Pin Yü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Yü more than expected).
Fields of papers citing papers by Pin Yü
This network shows the impact of papers produced by Pin Yü. 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 Pin Yü. The network helps show where Pin Yü may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin Yü, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | From SARS to MERS, Thrusting Coronaviruses into the Spotlight Hit paper breakdown → | 2019 | 835 |
| 2 | Treatment With Lopinavir/Ritonavir or Interferon-β1b Improves Outcome of MERS-CoV Infection in a Nonhuman Primate Model of Common Marmoset Hit paper breakdown → | 2015 | 482 |
| 3 | 2021 | 106 | |
| 4 | 2013 | 101 | |
| 5 | 1994 | 93 | |
| 6 | 2020 | 81 | |
| 7 | 2021 | 52 | |
| 8 | 2014 | 45 | |
| 9 | 2021 | 43 | |
| 10 | 2015 | 40 | |
| 11 | 2013 | 31 | |
| 12 | 2022 | 24 | |
| 13 | 2017 | 23 | |
| 14 | 2017 | 23 | |
| 15 | 2020 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2014 | 17 | |
| 20 | 2017 | 17 |
About Pin Yü
Pin Yü is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Immunology and Cancer Research, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Influenza Virus Research Studies (8 papers), COVID-19 Clinical Research Studies (8 papers), Viral Infections and Immunology Research (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Respiratory viral infections research (6 papers), Animal Virus Infections Studies (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Modeling and Simulation (115 citations), Neurology (354 citations), Animal Science and Zoology (176 citations) and Immunology (191 citations). Pin Yü has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Chuan Qin, Linlin Bao, Yanfeng Xu, Hua Zhu, Yajin Qu, Yunlin Han, Zhiqi Song, Wenjie Zhao, Ling Zhang and Wei Deng. Their work appears in journals such as Virology Journal, Journal of General Virology, Viruses, The Journal of Infectious Diseases and Brain Research.
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.