Geng Huang
- Epidemiology
- Infectious Diseases top 10%
- Animal Science and Zoology top 10%
- Genetics
- Agronomy and Crop Science top 10%
- Topics
- Virus-based gene therapy research (8 papers)Virology and Viral Diseases (7 papers)Influenza Virus Research Studies (6 papers)
- Partner nations
- China
In The Last Decade
Geng Huang
19 papers receiving 270 citations
Peers
Comparison fields: 5 of 38
- Epidemiology 162
- Infectious Diseases 151
- Animal Science and Zoology 84
- Genetics 71
- Agronomy and Crop Science 70
Countries citing papers authored by Geng Huang
This map shows the geographic impact of Geng Huang'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 Geng Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geng Huang more than expected).
Fields of papers citing papers by Geng Huang
This network shows the impact of papers produced by Geng Huang. 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 Geng Huang. The network helps show where Geng Huang may publish in the future.
Co-authorship network of co-authors of Geng Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Geng Huang. A scholar is included among the top collaborators of Geng Huang 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 Geng Huang. Geng Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 18 | |
| 6 | [Effect of Deletion of the Carboxyl Terminal of the NS1 Protein on Pathogenicity of the Influenza B Virus]. | 0 |
| 7 | 20 | |
| 8 | [Sequencing the complete genome of rabies virus CVS-11 strain and constructing its full-length infectious cDNA clone]. | 4 |
| 9 | 53 | |
| 10 | 19 | |
| 11 | 18 | |
| 12 | 35 | |
| 13 | 33 | |
| 14 | Experimental Study on Dogs Immunized with CPV DNA Vaccine,CPV Recombinant Vector Vaccine and CPV Modified Vaccine | 1 |
| 15 | Seroepidemiological investigation of caine parinfluenza virus in tiger | 2 |
| 16 | The First Finding of Tiger Influenza by Virus Inolation and Specific Gene Amplification | 4 |
| 17 | Phylogenetic analysis of the haemagglutinin protein gene of canine distemper virus from giant panda and other animals in China. | 2 |
| 18 | Study on the feline calicivirus infected tiger | 1 |
| 19 | Nueleotide seqnecnce Analysis of the H aem agglutinin Protein Gene of Giant Panda Strain of Canine Distemper Virus | 1 |
| 20 | The Nucleotide Sequence of the 3 End of Fusion Protein Gene of Canine Distemper Virus Giant Panda Strain | 1 |
About Geng Huang
Geng Huang is a scholar working on Virology, Animal Science and Zoology and Epidemiology, having authored 22 papers that have together received 280 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Virology and Viral Diseases (7 papers) and Influenza Virus Research Studies (6 papers). The work is most often cited by research in Animal Science and Zoology (84 citations), Infectious Diseases (151 citations) and Virology (37 citations). Geng Huang has collaborated with scholars based in China. Frequent co-authors include Xianzhu Xia, Tiecheng Wang, Yuwei Gao, Na Feng, Zhijun Yu, Songtao Yang, Chuan Qin, Kun Zhang, Songtao Yang and Kaihui Cheng. Their work appears in journals such as Angewandte Chemie International Edition, PLoS ONE and Virology.
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.