Xiangjun Du
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 20
- Influenza Virus Research Studies 20
- Respiratory viral infections research 4
-
- COVID-19 epidemiological studies 19
- Co-authors
- Chi Zhang (5 shared papers)Shengjie Lai (2 shared papers)Nick Ruktanonchai (2 shared papers)Olivia Prosper (2 shared papers)Jessica Floyd (2 shared papers)Andrew J. Tatem (2 shared papers)Hongjie Yu (1 shared paper)Liangcai Zhou (1 shared paper)
- Journals
- Journal of Medical Virology (3 papers)Frontiers in Immunology (3 papers)Viruses (3 papers)Nature Communications (3 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiangjun Du
53 papers receiving 1.6k citations
Xiangjun Du's Hit Papers
Peers
Comparison fields: 5 of 127
- Modeling and Simulation 700
- Infectious Diseases 312
- Epidemiology 510
- Transportation 101
- Health 80
Countries citing papers authored by Xiangjun Du
This map shows the geographic impact of Xiangjun 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 Xiangjun Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Du more than expected).
Fields of papers citing papers by Xiangjun Du
This network shows the impact of papers produced by Xiangjun 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 Xiangjun Du. The network helps show where Xiangjun Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiangjun 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effect of non-pharmaceutical interventions to contain COVID-19 in China Hit paper breakdown → | 2020 | 887 |
| 2 | 2012 | 90 | |
| 3 | 2020 | 71 | |
| 4 | 2013 | 46 | |
| 5 | 2017 | 44 | |
| 6 | 2015 | 44 | |
| 7 | 2014 | 40 | |
| 8 | 2007 | 36 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 24 | |
| 11 | 2022 | 23 | |
| 12 | 2010 | 22 | |
| 13 | 2020 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2021 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2011 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2024 | 11 |
About Xiangjun Du
Xiangjun Du is a scholar working on Epidemiology, Modeling and Simulation, Molecular Biology, Infectious Diseases and Immunology, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), COVID-19 epidemiological studies (19 papers), SARS-CoV-2 and COVID-19 Research (7 papers), RNA and protein synthesis mechanisms (6 papers), COVID-19 Pandemic Impacts (4 papers), Respiratory viral infections research (4 papers), interferon and immune responses (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Modeling and Simulation (700 citations), Infectious Diseases (312 citations), Epidemiology (510 citations), Transportation (101 citations) and Health (80 citations). Xiangjun Du has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chi Zhang, Shengjie Lai, Nick Ruktanonchai, Olivia Prosper, Jessica Floyd, Andrew J. Tatem, Hongjie Yu, Liangcai Zhou, Wei Luo and Amy Wesolowski. Their work appears in journals such as Journal of Medical Virology, Frontiers in Immunology, Viruses, Nature Communications and Nucleic Acids Research.
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.