Qing Tang
- Infectious Diseases top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Virology top 2%
- Co-authors
- Ichiro KuraneJin HeMasayuki SaijoShigeru MorikawaGuodong LiangAkihiko MaedaShan‐Ho ChouShihong Fu
- Topics
- Rabies epidemiology and control (39 papers)Virology and Viral Diseases (27 papers)Viral Infections and Vectors (25 papers)
- Journals
- Genes & DevelopmentSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Qing Tang
109 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Infectious Diseases 857
- Molecular Biology 654
- Public Health, Environmental and Occupational Health 466
- Ecology, Evolution, Behavior and Systematics 301
- Virology 285
Countries citing papers authored by Qing Tang
This map shows the geographic impact of Qing Tang'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 Qing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Tang more than expected).
Fields of papers citing papers by Qing Tang
This network shows the impact of papers produced by Qing Tang. 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 Qing Tang. The network helps show where Qing Tang may publish in the future.
Co-authorship network of co-authors of Qing Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Tang. A scholar is included among the top collaborators of Qing Tang 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 Qing Tang. Qing Tang 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 38 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | [Effects of ursodeoxycholic acid on mRNA expression of MDR3 and FXR in infants with cholestatic hepatitis]. | 0 |
| 10 | 15 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | Some key points in applications of electrical penetration graph technique | 0 |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 21 | |
| 18 | Sequencing and position analysis of the glycoprotein gene of four Chinese rabies viruses | 20 |
| 19 | Sequencing and analysis of S gene segment of XHFV | 4 |
| 20 | 13 |
About Qing Tang
Qing Tang is a scholar working on Virology, Infectious Diseases and Microbiology, having authored 115 papers that have together received 1.9k indexed citations. Recurring topics across this work include Rabies epidemiology and control (39 papers), Virology and Viral Diseases (27 papers) and Viral Infections and Vectors (25 papers). The work is most often cited by research in Virology (285 citations), Infectious Diseases (857 citations) and Microbiology (148 citations). Qing Tang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ichiro Kurane, Jin He, Masayuki Saijo, Shigeru Morikawa, Guodong Liang, Akihiko Maeda, Shan‐Ho Chou, Shihong Fu, Tetsuro Ikegami and Xiaoyan Tao. Their work appears in journals such as Genes & Development, SHILAP Revista de lepidopterología and PLoS ONE.
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.