Yuelong Shu
- Agronomy and Crop Science top 0.2%
- Animal Disease Management and Epidemiology 74
- Epidemiology top 0.2%
- Influenza Virus Research Studies 190
- Respiratory viral infections research 86
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 38
- Viral Infections and Vectors 22
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 24
- Immunology top 2%
- interferon and immune responses 29
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- RNA and protein synthesis mechanisms 15
- Co-authors
- Dayan WangWenfei ZhuLei YangGeorge F. GaoHongjie YuWeizhong YangYoshihiro KawaokaJianfang Zhou
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)The Lancet (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuelong Shu
213 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Agronomy and Crop Science 1.7k
- Epidemiology 4.5k
- Infectious Diseases 2.3k
- Modeling and Simulation 494
- Immunology 1.1k
Countries citing papers authored by Yuelong Shu
This map shows the geographic impact of Yuelong Shu'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 Yuelong Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuelong Shu more than expected).
Fields of papers citing papers by Yuelong Shu
This network shows the impact of papers produced by Yuelong Shu. 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 Yuelong Shu. The network helps show where Yuelong Shu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuelong Shu, 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 | 8 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 32 | |
| 13 | 2017 | 12 | |
| 14 | [Susceptibility of human influenza A (H3N2) viruses to neuraminidase inhibitors isolated during 2011-2012 in China]. | 2015 | 1 |
| 15 | [Google Flu Trends--the initial application of big data in public health]. | 2015 | 7 |
| 16 | 2014 | 13 | |
| 17 | 2012 | 50 | |
| 18 | 2010 | 26 | |
| 19 | 2009 | 12 | |
| 20 | [Adamantane resistance among influenza A (H3N2) viruses isolated from the mainland of China]. | 2006 | 5 |
About Yuelong Shu
Yuelong Shu is a scholar working on Agronomy and Crop Science, Epidemiology and Modeling and Simulation, having authored 219 papers that have together received 6.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (190 papers), Respiratory viral infections research (86 papers), Animal Disease Management and Epidemiology (74 papers), Viral gastroenteritis research and epidemiology (38 papers), interferon and immune responses (29 papers), COVID-19 epidemiological studies (24 papers), Viral Infections and Vectors (22 papers) and RNA and protein synthesis mechanisms (15 papers). The work is most often cited by research in Agronomy and Crop Science (1.7k citations), Epidemiology (4.5k citations) and Infectious Diseases (2.3k citations). Yuelong Shu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Dayan Wang, Wenfei Zhu, Lei Yang, George F. Gao, Hongjie Yu, Weizhong Yang, Yoshihiro Kawaoka, Jianfang Zhou, Ye Zhang and Hualan Chen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.