Weibing Wang
Impact in
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
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- Tuberculosis Research and Epidemiology 31
- SARS-CoV-2 and COVID-19 Research 9
- Epidemiology 26
- Hepatitis B Virus Studies 7
- Co-authors
- Haidong Kan (17 shared papers)Biao Xu (26 shared papers)Chaowei Fu (9 shared papers)Renjie Chen (9 shared papers)Zhaolan Liu (4 shared papers)Jinhua Pan (15 shared papers)Ye Yao (14 shared papers)Zhixi Liu (14 shared papers)
- Journals
- Infectious Diseases of Poverty (8 papers)BMC Infectious Diseases (7 papers)BMJ Open (6 papers)BMC Public Health (5 papers)The Science of The Total Environment (5 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Weibing Wang
152 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 166
- Health, Toxicology and Mutagenesis 772
- Modeling and Simulation 245
- Infectious Diseases 512
- Health 125
- Endocrinology, Diabetes and Metabolism 195
Countries citing papers authored by Weibing Wang
This map shows the geographic impact of Weibing Wang'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 Weibing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibing Wang more than expected).
Fields of papers citing papers by Weibing Wang
This network shows the impact of papers produced by Weibing Wang. 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 Weibing Wang. The network helps show where Weibing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weibing Wang, 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 208 | |
| 2 | 2010 | 206 | |
| 3 | 2017 | 123 | |
| 4 | 2014 | 116 | |
| 5 | 2018 | 105 | |
| 6 | 2017 | 105 | |
| 7 | Type 2 diabetes mellitus in China: a preventable economic burden. | 2009 | 103 |
| 8 | 2014 | 101 | |
| 9 | 2014 | 91 | |
| 10 | 2014 | 83 | |
| 11 | 2016 | 72 | |
| 12 | 2021 | 68 | |
| 13 | 2016 | 67 | |
| 14 | 2020 | 63 | |
| 15 | 2022 | 58 | |
| 16 | 2009 | 58 | |
| 17 | 2016 | 56 | |
| 18 | 2009 | 55 | |
| 19 | 2022 | 47 | |
| 20 | 2020 | 47 |
About Weibing Wang
Weibing Wang is a scholar working on Infectious Diseases, Epidemiology, Health, Health, Toxicology and Mutagenesis and Modeling and Simulation, having authored 160 papers that have together received 3.0k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (31 papers), Vaccine Coverage and Hesitancy (12 papers), Climate Change and Health Impacts (10 papers), COVID-19 epidemiological studies (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Hepatitis B Virus Studies (7 papers), Healthcare Systems and Reforms (6 papers) and Air Quality and Health Impacts (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (772 citations), Modeling and Simulation (245 citations), Infectious Diseases (512 citations), Health (125 citations) and Endocrinology, Diabetes and Metabolism (195 citations). Weibing Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Haidong Kan, Biao Xu, Chaowei Fu, Renjie Chen, Zhaolan Liu, Jinhua Pan, Ye Yao, Zhixi Liu, Xia Meng and Yang Qiu. Their work appears in journals such as Infectious Diseases of Poverty, BMC Infectious Diseases, BMJ Open, BMC Public Health and The Science of The Total Environment.
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.