Guizhen Wu
Impact in
- Infectious Diseases top 0.01%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 34
- Viral gastroenteritis research and epidemiology 11
- SARS-CoV-2 detection and testing 10
- COVID-19 Clinical Research Studies 10
- Viral Infections and Outbreaks Research 6
- Co-authors
- Wenjie TanWen‐Ching WangRoujian LuGeorge F. GaoXiang ZhaoXuejun MaPeihua NiuJingdong Song
- Journals
- China CDC Weekly (10 papers)Biosafety and Health (10 papers)Infectious Diseases of Poverty (3 papers)Emerging Microbes & Infections (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Guizhen Wu
71 papers receiving 23.6k citations
Hit Papers
Peers
Comparison fields: 5 of 209
- Infectious Diseases 15.2k
- Modeling and Simulation 2.5k
- General Dentistry 561
- Neurology 3.9k
- Obstetrics and Gynecology 1.3k
Countries citing papers authored by Guizhen Wu
This map shows the geographic impact of Guizhen Wu'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 Guizhen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guizhen Wu more than expected).
Fields of papers citing papers by Guizhen Wu
This network shows the impact of papers produced by Guizhen Wu. 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 Guizhen Wu. The network helps show where Guizhen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guizhen Wu, 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 | 2024 | 7 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 164 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 281 | |
| 17 | 2019 | 22 | |
| 18 | [Establishment of Quality Control System of Nucleic Acid Detection for Ebola Virus in Sierra Leone-China Friendship Biological Safety Laboratory]. | 2016 | 0 |
| 19 | 2016 | 23 | |
| 20 | 2015 | 1 |
About Guizhen Wu
Guizhen Wu is a scholar working on Chemical Health and Safety, Infectious Diseases, Animal Science and Zoology, Virology and Modeling and Simulation, having authored 75 papers that have together received 24.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (34 papers), Animal Virus Infections Studies (11 papers), Viral gastroenteritis research and epidemiology (11 papers), SARS-CoV-2 detection and testing (10 papers), Influenza Virus Research Studies (10 papers), COVID-19 Clinical Research Studies (10 papers), Viral Infections and Outbreaks Research (6 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Infectious Diseases (15.2k citations), Modeling and Simulation (2.5k citations), General Dentistry (561 citations), Neurology (3.9k citations) and Obstetrics and Gynecology (1.3k citations). Guizhen Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wenjie Tan, Wen‐Ching Wang, Roujian Lu, George F. Gao, Xiang Zhao, Xuejun Ma, Peihua Niu, Jingdong Song, Baoying Huang and Na Zhu. Their work appears in journals such as China CDC Weekly, Biosafety and Health, Infectious Diseases of Poverty, Emerging Microbes & Infections and Scientific Reports.
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.