Jian Wu
- Infectious Diseases top 5%
- Molecular Biology
- Neurology top 5%
- Clinical Psychology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Clifford Silver TarimoYudong MiaoQuanman LiCuiping WuXin ZengMeizhu ChenCuiyan TanJin Huang
- Topics
- SARS-CoV-2 and COVID-19 Research (17 papers)Vaccine Coverage and Hesitancy (15 papers)COVID-19 epidemiological studies (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaWater ResearchClinical Infectious Diseases
- Partner nations
- ChinaTanzaniaUnited States
In The Last Decade
Jian Wu
103 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Infectious Diseases 536
- Molecular Biology 379
- Neurology 343
- Clinical Psychology 313
- Pulmonary and Respiratory Medicine 262
Countries citing papers authored by Jian Wu
This map shows the geographic impact of Jian Wu'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 Jian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Wu more than expected).
Fields of papers citing papers by Jian Wu
This network shows the impact of papers produced by Jian Wu. 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 Jian Wu. The network helps show where Jian Wu may publish in the future.
Co-authorship network of co-authors of Jian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Wu. A scholar is included among the top collaborators of Jian Wu 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 Jian Wu. Jian Wu 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 | 1 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 27 | |
| 7 | 22 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 28 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 91 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | Impact of coronavirus disease 2019 on pulmonary function in early convalescence phasebreakdown → | 370 |
| 18 | Historic Evolution and Problems of Public Health Service Delivery Mechanisms in Rural Areas in China | 1 |
| 19 | Report of seven cases of Kimura's disease and review of literature. | 1 |
| 20 | Polymorphisms of Aldehyde Dehydrogenase-2 Genotypes and the Risk of Esophageal Cancer | 3 |
About Jian Wu
Jian Wu is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 106 papers that have together received 2.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), Vaccine Coverage and Hesitancy (15 papers) and COVID-19 epidemiological studies (12 papers). The work is most often cited by research in Modeling and Simulation (179 citations), Infectious Diseases (536 citations) and Health (230 citations). Jian Wu has collaborated with scholars based in China, Tanzania and United States. Frequent co-authors include Clifford Silver Tarimo, Yudong Miao, Quanman Li, Cuiping Wu, Xin Zeng, Meizhu Chen, Cuiyan Tan, Jin Huang, Yiying Huang and Liyun Luo. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Research and Clinical 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.