Weibing Wang
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
-
- Tuberculosis Research and Epidemiology 32
-
- Air Quality and Health Impacts 12
- Climate Change and Health Impacts 6
- Co-authors
- Haidong Kan (19 shared papers)Biao Xu (20 shared papers)Chaowei Fu (8 shared papers)Zhixi Liu (16 shared papers)Ye Yao (15 shared papers)Renjie Chen (9 shared papers)Xia Meng (5 shared papers)Zhaolan Liu (3 shared papers)
- Journals
- BMC Infectious Diseases (8 papers)Infectious Diseases of Poverty (8 papers)BMJ Open (6 papers)The Science of The Total Environment (5 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Weibing Wang
139 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 355
- Health, Toxicology and Mutagenesis 851
- Infectious Diseases 530
- Endocrinology, Diabetes and Metabolism 315
- Global and Planetary Change 268
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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 267 | |
| 2 | 2010 | 212 | |
| 3 | 2020 | 208 | |
| 4 | 2017 | 126 | |
| 5 | 2014 | 119 | |
| 6 | 2017 | 108 | |
| 7 | 2018 | 106 | |
| 8 | Type 2 diabetes mellitus in China: a preventable economic burden. | 2009 | 103 |
| 9 | 2014 | 101 | |
| 10 | 2020 | 89 | |
| 11 | 2014 | 87 | |
| 12 | 2021 | 74 | |
| 13 | 2016 | 72 | |
| 14 | 2016 | 68 | |
| 15 | 2023 | 66 | |
| 16 | 2020 | 65 | |
| 17 | 2022 | 65 | |
| 18 | 2009 | 59 | |
| 19 | 2009 | 56 | |
| 20 | 2016 | 56 |
About Weibing Wang
Weibing Wang is a scholar working on Infectious Diseases, Health, Toxicology and Mutagenesis, Modeling and Simulation, Health and Epidemiology, having authored 147 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (32 papers), COVID-19 epidemiological studies (14 papers), Air Quality and Health Impacts (12 papers), Vaccine Coverage and Hesitancy (9 papers), Healthcare Systems and Reforms (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Respiratory viral infections research (6 papers) and Climate Change and Health Impacts (6 papers). The work is most often cited by research in Modeling and Simulation (355 citations), Health, Toxicology and Mutagenesis (851 citations), Infectious Diseases (530 citations), Endocrinology, Diabetes and Metabolism (315 citations) and Global and Planetary Change (268 citations). Weibing Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Haidong Kan, Biao Xu, Chaowei Fu, Zhixi Liu, Ye Yao, Renjie Chen, Xia Meng, Zhaolan Liu, Jinhua Pan and Weidong Wang. Their work appears in journals such as BMC Infectious Diseases, Infectious Diseases of Poverty, BMJ Open, The Science of The Total Environment 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.