Jiang Wu
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 58
- Influenza Virus Research Studies 25
- Respiratory viral infections research 17
- Hepatitis B Virus Studies 14
- Pneumonia and Respiratory Infections 9
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- SARS-CoV-2 and COVID-19 Research 17
- Viral gastroenteritis research and epidemiology 10
- Co-authors
- Min Lv (32 shared papers)Shuang Bai (13 shared papers)Weixin Chen (14 shared papers)Pei Gao (8 shared papers)Qianli Yuan (4 shared papers)Yufeng Xiao (1 shared paper)Donglei Liu (8 shared papers)Fujie Xu (2 shared papers)
- Journals
- Human Vaccines & Immunotherapeutics (11 papers)Vaccine (8 papers)BMC Infectious Diseases (3 papers)Scientific Reports (2 papers)International Journal of Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jiang Wu
97 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 129
- Hepatology 238
- Modeling and Simulation 125
- Epidemiology 918
- Health 215
- Microbiology 154
Countries citing papers authored by Jiang Wu
This map shows the geographic impact of Jiang 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 Jiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Wu more than expected).
Fields of papers citing papers by Jiang Wu
This network shows the impact of papers produced by Jiang 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 Jiang Wu. The network helps show where Jiang Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 166 | |
| 2 | 2004 | 125 | |
| 3 | 2012 | 114 | |
| 4 | 2010 | 101 | |
| 5 | 2016 | 75 | |
| 6 | 2015 | 51 | |
| 7 | 2015 | 49 | |
| 8 | 2016 | 40 | |
| 9 | 2013 | 40 | |
| 10 | 2009 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2017 | 30 | |
| 13 | 2008 | 29 | |
| 14 | 2012 | 29 | |
| 15 | 2022 | 24 | |
| 16 | 2018 | 24 | |
| 17 | 2010 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2022 | 19 | |
| 20 | 2007 | 18 |
About Jiang Wu
Jiang Wu is a scholar working on Epidemiology, Infectious Diseases, Health, Hepatology and Immunology, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (25 papers), Respiratory viral infections research (17 papers), SARS-CoV-2 and COVID-19 Research (17 papers), Vaccine Coverage and Hesitancy (16 papers), Hepatitis B Virus Studies (14 papers), Viral gastroenteritis research and epidemiology (10 papers), Pneumonia and Respiratory Infections (9 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Hepatology (238 citations), Modeling and Simulation (125 citations), Epidemiology (918 citations), Health (215 citations) and Microbiology (154 citations). Jiang Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Min Lv, Shuang Bai, Weixin Chen, Pei Gao, Qianli Yuan, Yufeng Xiao, Donglei Liu, Fujie Xu, Ying Deng and Bin Cao. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Vaccine, BMC Infectious Diseases, Scientific Reports and International Journal of 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.