Wang Jun-wei
- Epidemiology
- Infectious Diseases top 10%
- Molecular Biology
- Agronomy and Crop Science top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Jinming LiJingyue BaoChunju LiuXiaodong WuYutian LiuZhiliang WangLin LiNan Yang
- Topics
- Virology and Viral Diseases (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Animal Virus Infections Studies (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Wang Jun-wei
17 papers receiving 362 citations
Peers
Comparison fields: 5 of 66
- Epidemiology 197
- Infectious Diseases 178
- Molecular Biology 96
- Agronomy and Crop Science 70
- Ecology, Evolution, Behavior and Systematics 47
Countries citing papers authored by Wang Jun-wei
This map shows the geographic impact of Wang Jun-wei'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 Wang Jun-wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Jun-wei more than expected).
Fields of papers citing papers by Wang Jun-wei
This network shows the impact of papers produced by Wang Jun-wei. 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 Wang Jun-wei. The network helps show where Wang Jun-wei may publish in the future.
Co-authorship network of co-authors of Wang Jun-wei
This figure shows the co-authorship network connecting the top 25 collaborators of Wang Jun-wei. A scholar is included among the top collaborators of Wang Jun-wei 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 Wang Jun-wei. Wang Jun-wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 20 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 57 | |
| 6 | 36 | |
| 7 | 8 | |
| 8 | [A case report of multiple dentigerous cyst of mandible and review of literature]. | 2 |
| 9 | 4 | |
| 10 | 17 | |
| 11 | [Sequence analysis of the phosphoprotein gene of peste des petits ruminants virus of Chinese origin]. | 2 |
| 12 | 36 | |
| 13 | 40 | |
| 14 | The biological characteristics and immunogenicity of a H5N1 inactivated vaccine seed virus strain Re-4 generated from the avian influenza virus variant strain. | 1 |
| 15 | 115 | |
| 16 | [Isolation and identification of arboviruses in Hebei Province]. | 7 |
| 17 | Detection of GPV by polymerase chain reaction (PCR) | 4 |
About Wang Jun-wei
Wang Jun-wei is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 17 papers that have together received 373 indexed citations. Recurring topics across this work include Virology and Viral Diseases (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (178 citations), Agronomy and Crop Science (70 citations) and Epidemiology (197 citations). Wang Jun-wei has collaborated with scholars based in China and United States. Frequent co-authors include Jinming Li, Jingyue Bao, Chunju Liu, Xiaodong Wu, Yutian Liu, Zhiliang Wang, Lin Li, Nan Yang, Zhiliang Wang and Li Lin. Their work appears in journals such as Emerging infectious diseases, Cancer Letters and World Journal of Gastroenterology.
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.