Ying Qin
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 4
- Agronomy and Crop Science top 5%
- Infectious Diseases top 5%
- Viral Infections and Vectors 7
- Immunology top 10%
- interferon and immune responses 7
- Epidemiology top 10%
- Influenza Virus Research Studies 12
- Respiratory viral infections research 6
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- Inflammasome and immune disorders 6
- Plant Gene Expression Analysis 4
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- Viral Infections and Immunology Research 5
- Co-authors
- Wei ZhaoChunyuan ZhaoMutian JiaElizabeth CurmiKeith RichardsJulian M. AllwoodRongzhen YanBenjamin J. Cowling
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Qin
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 156
- Modeling and Simulation 120
- Agronomy and Crop Science 142
- Infectious Diseases 259
- Immunology 287
- Epidemiology 411
Countries citing papers authored by Ying Qin
This map shows the geographic impact of Ying Qin'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 Ying Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Qin more than expected).
Fields of papers citing papers by Ying Qin
This network shows the impact of papers produced by Ying Qin. 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 Ying Qin. The network helps show where Ying Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying Qin, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 38 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 101 | |
| 15 | 2018 | 20 | |
| 16 | 2018 | 47 | |
| 17 | [Technical guidelines for the application of seasonal influenza vaccine in China (2014-2015)]. | 2014 | 9 |
| 18 | 2008 | 6 | |
| 19 | 2001 | 20 | |
| 20 | 1998 | 12 |
About Ying Qin
Ying Qin is a scholar working on Modeling and Simulation, Biological Psychiatry and Infectious Diseases, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), interferon and immune responses (7 papers), Viral Infections and Vectors (7 papers), Respiratory viral infections research (6 papers), Inflammasome and immune disorders (6 papers), Viral Infections and Immunology Research (5 papers), Plant Gene Expression Analysis (4 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Modeling and Simulation (120 citations), Agronomy and Crop Science (142 citations) and Infectious Diseases (259 citations). Ying Qin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Zhao, Chunyuan Zhao, Mutian Jia, Elizabeth Curmi, Keith Richards, Julian M. Allwood, Rongzhen Yan, Benjamin J. Cowling, Hui Song and Peng Wu. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation 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.