Min Du
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Instrumentation top 5%
Papers in
-
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Jue Liu (76 shared papers)Min Liu (54 shared papers)Wenzhan Jing (12 shared papers)Yaping Wang (19 shared papers)Jie Yuan (5 shared papers)Yu Wu (3 shared papers)Jie Deng (14 shared papers)Liyuan Tao (14 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (7 papers)The Astrophysical Journal (7 papers)Human Vaccines & Immunotherapeutics (6 papers)Vaccines (5 papers)Frontiers in Pharmacology (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Min Du
136 papers receiving 3.1k citations
Min Du's Hit Papers
Peers
Comparison fields: 5 of 177
- Modeling and Simulation 443
- Instrumentation 110
- Health 220
- Obstetrics and Gynecology 147
- Infectious Diseases 359
Countries citing papers authored by Min Du
This map shows the geographic impact of Min Du'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 Min Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Du more than expected).
Fields of papers citing papers by Min Du
This network shows the impact of papers produced by Min Du. 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 Min Du. The network helps show where Min Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Du, 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effects of temperature and humidity on the daily new cases and new deaths of COVID-19 in 166 countries Hit paper breakdown → | 2020 | 456 |
| 2 | 1999 | 250 | |
| 3 | 2006 | 165 | |
| 4 | 2019 | 83 | |
| 5 | 2022 | 69 | |
| 6 | 2021 | 69 | |
| 7 | 2023 | 67 | |
| 8 | 2022 | 63 | |
| 9 | 2012 | 62 | |
| 10 | 2020 | 58 | |
| 11 | 2022 | 52 | |
| 12 | 2021 | 48 | |
| 13 | 2021 | 47 | |
| 14 | 2021 | 47 | |
| 15 | 2023 | 44 | |
| 16 | 2022 | 44 | |
| 17 | 2022 | 44 | |
| 18 | 2023 | 40 | |
| 19 | 2023 | 40 | |
| 20 | 2022 | 38 |
About Min Du
Min Du is a scholar working on Molecular Biology, Infectious Diseases, Astronomy and Astrophysics, Health and Epidemiology, having authored 143 papers that have together received 3.2k indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (17 papers), Vaccine Coverage and Hesitancy (14 papers), Astronomy and Astrophysical Research (14 papers), Stellar, planetary, and galactic studies (12 papers), COVID-19 Clinical Research Studies (10 papers), COVID-19 epidemiological studies (8 papers), Poxvirus research and outbreaks (8 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Modeling and Simulation (443 citations), Instrumentation (110 citations), Health (220 citations), Obstetrics and Gynecology (147 citations) and Infectious Diseases (359 citations). Min Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jue Liu, Min Liu, Wenzhan Jing, Yaping Wang, Jie Yuan, Yu Wu, Jie Deng, Liyuan Tao, Wenxin Yan and Qiuyue Ma. Their work appears in journals such as International Journal of Environmental Research and Public Health, The Astrophysical Journal, Human Vaccines & Immunotherapeutics, Vaccines and Frontiers in Pharmacology.
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.