Yipu Lin
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- Influenza Virus Research Studies 8
- Respiratory viral infections research 5
-
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- John W. McCauley (6 shared papers)Rodney Stuart Daniels (4 shared papers)Stephen A. Wharton (4 shared papers)Yan Gu (3 shared papers)Alan J Hay (2 shared papers)Victoria Gregory (2 shared papers)Lynne Whittaker (2 shared papers)R.J. Russell (1 shared paper)
- Journals
- Influenza and Other Respiratory Viruses (2 papers)Journal of General Virology (2 papers)Journal of Visualized Experiments (2 papers)Nature (1 paper)Vaccine (1 paper)
- Partner nations
- United KingdomArgentinaChina
In The Last Decade
Yipu Lin
8 papers receiving 832 citations
Yipu Lin's Hit Papers
Peers
Comparison fields: 5 of 50
- Epidemiology 774
- Agronomy and Crop Science 247
- Infectious Diseases 256
- Immunology 153
- Modeling and Simulation 18
Countries citing papers authored by Yipu Lin
This map shows the geographic impact of Yipu Lin'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 Yipu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yipu Lin more than expected).
Fields of papers citing papers by Yipu Lin
This network shows the impact of papers produced by Yipu Lin. 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 Yipu Lin. The network helps show where Yipu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yipu Lin, 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 | Haemagglutinin mutations responsible for the binding of H5N1 influenza A viruses to human-type receptors Hit paper breakdown → | 2006 | 548 |
| 2 | 2009 | 99 | |
| 3 | 2016 | 68 | |
| 4 | 2017 | 68 | |
| 5 | 2015 | 35 | |
| 6 | 2016 | 19 | |
| 7 | 2018 | 13 | |
| 8 | 2016 | 9 |
About Yipu Lin
Yipu Lin is a scholar working on Epidemiology, Infectious Diseases, Genetics, Immunology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 859 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Respiratory viral infections research (5 papers), Viral gastroenteritis research and epidemiology (2 papers), Virus-based gene therapy research (2 papers), Immune Response and Inflammation (1 paper), Receptor Mechanisms and Signaling (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Epidemiology (774 citations), Agronomy and Crop Science (247 citations), Infectious Diseases (256 citations), Immunology (153 citations) and Modeling and Simulation (18 citations). Yipu Lin has collaborated with scholars based in United Kingdom, Argentina and China. Frequent co-authors include John W. McCauley, Rodney Stuart Daniels, Stephen A. Wharton, Yan Gu, Alan J Hay, Victoria Gregory, Lynne Whittaker, R.J. Russell, Yan Liu and Stephen R. Martin. Their work appears in journals such as Influenza and Other Respiratory Viruses, Journal of General Virology, Journal of Visualized Experiments, Nature and Vaccine.
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.