Yuelong Shu
- Epidemiology top 0.2%
- Infectious Diseases top 0.5%
- Agronomy and Crop Science top 0.2%
- Molecular Biology top 10%
- Immunology top 2%
- Co-authors
- Dayan WangWenfei ZhuLei YangGeorge F. GaoHongjie YuWeizhong YangYoshihiro KawaokaJianfang Zhou
- Topics
- Influenza Virus Research Studies (190 papers)Respiratory viral infections research (86 papers)Animal Disease Management and Epidemiology (74 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
- Epidemiology 4.5k
- Infectious Diseases 2.3k
- Agronomy and Crop Science 1.7k
- Molecular Biology 1.2k
- 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 of co-authors of Yuelong Shu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuelong Shu. A scholar is included among the top collaborators of Yuelong Shu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuelong Shu. Yuelong Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 32 | |
| 13 | 12 | |
| 14 | [Susceptibility of human influenza A (H3N2) viruses to neuraminidase inhibitors isolated during 2011-2012 in China]. | 1 |
| 15 | [Google Flu Trends--the initial application of big data in public health]. | 7 |
| 16 | 13 | |
| 17 | 50 | |
| 18 | 26 | |
| 19 | 12 | |
| 20 | [Adamantane resistance among influenza A (H3N2) viruses isolated from the mainland of China]. | 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) and Animal Disease Management and Epidemiology (74 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.