Qigang Dai
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 7
- Infectious Diseases top 10%
- Viral Infections and Vectors 6
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 4
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- Immune Cell Function and Interaction 4
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- Influenza Virus Research Studies 14
- Respiratory viral infections research 12
- Agronomy and Crop Science top 10%
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- Asthma and respiratory diseases 3
- Journals
- PLoS ONE (3 papers)The Science of The Total Environment (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Qigang Dai
38 papers receiving 571 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 53
- Infectious Diseases 154
- Immunology 163
- Epidemiology 204
- Agronomy and Crop Science 58
Countries citing papers authored by Qigang Dai
This map shows the geographic impact of Qigang Dai'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 Qigang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qigang Dai more than expected).
Fields of papers citing papers by Qigang Dai
This network shows the impact of papers produced by Qigang Dai. 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 Qigang Dai. The network helps show where Qigang Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qigang Dai, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 67 | |
| 11 | 2019 | 97 | |
| 12 | 2019 | 33 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 27 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 22 | |
| 17 | 2018 | 11 | |
| 18 | [Metabonomics of Syndrome Markers in Infantile Bronchial Asthma Episode]. | 2017 | 1 |
| 19 | 2016 | 10 | |
| 20 | Some physiological and biochemical differences between salt-tolerant and sensitive rice (Oryza sativa L.) genotypes in response to salinity. | 1988 | 4 |
About Qigang Dai
Qigang Dai is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 43 papers that have together received 579 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Respiratory viral infections research (12 papers), COVID-19 epidemiological studies (7 papers), Viral Infections and Vectors (6 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immune Cell Function and Interaction (4 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Modeling and Simulation (53 citations), Infectious Diseases (154 citations) and Immunology (163 citations). Qigang Dai has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Jinjun Shan, Changjun Bao, Shouchuan Wang, Ke Xu, Haodi Huang, Xiang Huo, Xian Qi, Chaofan Li, Huiyan Yu and Jie Sun. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Frontiers in Immunology.
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.