Huanliang Yang
- Epidemiology top 5%
- Agronomy and Crop Science top 1%
- Infectious Diseases top 5%
- Immunology
- Animal Science and Zoology top 10%
- Co-authors
- Hualan ChenChuanling QiaoXiaoguang XinYoshihiro KawaokaZhigao BuGuohua DengYan ChenQiyun Zhu
- Topics
- Influenza Virus Research Studies (24 papers)Animal Disease Management and Epidemiology (22 papers)Respiratory viral infections research (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of VirologyEmerging infectious diseases
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Huanliang Yang
28 papers receiving 606 citations
Peers
Comparison fields: 5 of 41
- Epidemiology 570
- Agronomy and Crop Science 437
- Infectious Diseases 261
- Immunology 72
- Animal Science and Zoology 53
Countries citing papers authored by Huanliang Yang
This map shows the geographic impact of Huanliang Yang'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 Huanliang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanliang Yang more than expected).
Fields of papers citing papers by Huanliang Yang
This network shows the impact of papers produced by Huanliang Yang. 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 Huanliang Yang. The network helps show where Huanliang Yang may publish in the future.
Co-authorship network of co-authors of Huanliang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Huanliang Yang. A scholar is included among the top collaborators of Huanliang Yang 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 Huanliang Yang. Huanliang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 21 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 23 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 21 | |
| 12 | 5 | |
| 13 | 43 | |
| 14 | 38 | |
| 15 | 2 | |
| 16 | Immunogenicity of a recombinant adenovirus expressing HA gene of H3N2 subtype swine influenza virus in mice. | 1 |
| 17 | 17 | |
| 18 | 135 | |
| 19 | 33 | |
| 20 | Isolation and characterization of H5N1 and H9N2 influenza viruses from pigs in China | 30 |
About Huanliang Yang
Huanliang Yang is a scholar working on Agronomy and Crop Science, Epidemiology and Infectious Diseases, having authored 28 papers that have together received 617 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (24 papers), Animal Disease Management and Epidemiology (22 papers) and Respiratory viral infections research (11 papers). The work is most often cited by research in Agronomy and Crop Science (437 citations), Epidemiology (570 citations) and Infectious Diseases (261 citations). Huanliang Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hualan Chen, Chuanling Qiao, Xiaoguang Xin, Yoshihiro Kawaoka, Zhigao Bu, Guohua Deng, Yan Chen, Qiyun Zhu, Yan Chen and Fei Meng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Emerging infectious diseases.
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.