Fang He
- Epidemiology top 5%
- Infectious Diseases top 5%
- Molecular Biology
- Immunology top 5%
- Animal Science and Zoology top 2%
- Co-authors
- Jimmy KwangMookkan PrabakaranHui-Ling XuVincent ChowQiang JiaZehui LiuHui-Ting HoBeau J. Fenner
- Topics
- Animal Virus Infections Studies (26 papers)Viral gastroenteritis research and epidemiology (26 papers)Influenza Virus Research Studies (21 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Fang He
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 110
- Epidemiology 560
- Infectious Diseases 530
- Molecular Biology 503
- Immunology 453
- Animal Science and Zoology 336
Countries citing papers authored by Fang He
This map shows the geographic impact of Fang He'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 Fang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang He more than expected).
Fields of papers citing papers by Fang He
This network shows the impact of papers produced by Fang He. 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 Fang He. The network helps show where Fang He may publish in the future.
Co-authorship network of co-authors of Fang He
This figure shows the co-authorship network connecting the top 25 collaborators of Fang He. A scholar is included among the top collaborators of Fang He 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 Fang He. Fang He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 21 | |
| 4 | Targeted Delivery of Nanovaccine to Dendritic Cells via DC-Binding Peptides Induces Potent Antiviral Immunity in vivo | 22 |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 17 | |
| 9 | 18 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 51 | |
| 13 | 105 | |
| 14 | 11 | |
| 15 | 11 | |
| 16 | 19 | |
| 17 | 37 | |
| 18 | 34 | |
| 19 | Molecular Cloning,Expression Profile and Antibacterial Activity of Hemolin Gene in Silkworm,Bombyx mori | 1 |
| 20 | 53 |
About Fang He
Fang He is a scholar working on Animal Science and Zoology, Infectious Diseases and Agronomy and Crop Science, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (26 papers), Viral gastroenteritis research and epidemiology (26 papers) and Influenza Virus Research Studies (21 papers). The work is most often cited by research in Animal Science and Zoology (336 citations), Infectious Diseases (530 citations) and Agronomy and Crop Science (226 citations). Fang He has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jimmy Kwang, Mookkan Prabakaran, Hui-Ling Xu, Vincent Chow, Qiang Jia, Zehui Liu, Hui-Ting Ho, Beau J. Fenner, Bevin P. Engelward and Weihuan Fang. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.
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.