Dong Miao
Impact in
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
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- COVID-19 epidemiological studies
Papers in
-
- Viral Infections and Vectors 4
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 1
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- Mosquito-borne diseases and control 3
- Co-authors
- Wei Liu (9 shared papers)Ke Dai (6 shared papers)Yang Yang (5 shared papers)Xin‐Lou Li (5 shared papers)Xiao‐Ai Zhang (8 shared papers)Qing‐Bin Lu (5 shared papers)Li‐Qun Fang (6 shared papers)Wenqiang Shi (3 shared papers)
- Journals
- Clinical Infectious Diseases (2 papers)Infectious Diseases of Poverty (2 papers)PLoS neglected tropical diseases (2 papers)Emerging Microbes & Infections (1 paper)Transboundary and Emerging Diseases (1 paper)
- Partner nations
- ChinaUnited StatesBelarus
In The Last Decade
Dong Miao
10 papers receiving 245 citations
Peers
Comparison fields: 5 of 44
- Infectious Diseases 198
- Modeling and Simulation 14
- Parasitology 19
- Ecology, Evolution, Behavior and Systematics 42
- Global and Planetary Change 45
Countries citing papers authored by Dong Miao
This map shows the geographic impact of Dong Miao'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 Dong Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Miao more than expected).
Fields of papers citing papers by Dong Miao
This network shows the impact of papers produced by Dong Miao. 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 Dong Miao. The network helps show where Dong Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Miao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 90 | |
| 2 | 2020 | 57 | |
| 3 | 2021 | 37 | |
| 4 | 2019 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 1 | |
| 9 | 2013 | 1 | |
| 10 | 2019 | 1 |
About Dong Miao
Dong Miao is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Global and Planetary Change and Modeling and Simulation, having authored 10 papers that have together received 247 indexed citations. Recurring topics across this work include Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Fire effects on ecosystems (2 papers), COVID-19 epidemiological studies (2 papers), Respiratory viral infections research (2 papers), COVID-19 Clinical Research Studies (1 paper) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Infectious Diseases (198 citations), Modeling and Simulation (14 citations), Parasitology (19 citations), Ecology, Evolution, Behavior and Systematics (42 citations) and Global and Planetary Change (45 citations). Dong Miao has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Wei Liu, Ke Dai, Yang Yang, Xin‐Lou Li, Xiao‐Ai Zhang, Qing‐Bin Lu, Li‐Qun Fang, Wenqiang Shi, Guo-Ping Zhao and Ming‐Jin Liu. Their work appears in journals such as Clinical Infectious Diseases, Infectious Diseases of Poverty, PLoS neglected tropical diseases, Emerging Microbes & Infections and Transboundary and Emerging 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.