Wangjun Fu
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
-
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 11
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- Animal Disease Management and Epidemiology 2
- Co-authors
- Xuemei Li (1 shared paper)Yutao Chen (2 shared papers)Zihe Rao (1 shared paper)Lei Wang (1 shared paper)Xiaoying Feng (1 shared paper)Chenlong Wang (1 shared paper)Xiangxi Wang (4 shared papers)Yidan Gao (1 shared paper)
- Journals
- Protein & Cell (3 papers)Small Methods (2 papers)Cell (2 papers)Cell Host & Microbe (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Wangjun Fu
14 papers receiving 706 citations
Wangjun Fu's Hit Papers
Peers
Comparison fields: 5 of 43
- Infectious Diseases 608
- Modeling and Simulation 11
- Agronomy and Crop Science 13
- Epidemiology 36
- Animal Science and Zoology 6
Countries citing papers authored by Wangjun Fu
This map shows the geographic impact of Wangjun Fu'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 Wangjun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wangjun Fu more than expected).
Fields of papers citing papers by Wangjun Fu
This network shows the impact of papers produced by Wangjun Fu. 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 Wangjun Fu. The network helps show where Wangjun Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wangjun Fu, 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 | Structural and functional characterizations of infectivity and immune evasion of SARS-CoV-2 Omicron Hit paper breakdown → | 2022 | 324 |
| 2 | 2022 | 138 | |
| 3 | 2022 | 137 | |
| 4 | 2023 | 34 | |
| 5 | 2021 | 31 | |
| 6 | 2022 | 11 | |
| 7 | 2024 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Wangjun Fu
Wangjun Fu is a scholar working on Infectious Diseases, Agronomy and Crop Science, Structural Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 712 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Animal Disease Management and Epidemiology (2 papers), Cervical Cancer and HPV Research (1 paper), Viral Infections and Immunology Research (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Virology and Viral Diseases (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Infectious Diseases (608 citations), Modeling and Simulation (11 citations), Agronomy and Crop Science (13 citations), Epidemiology (36 citations) and Animal Science and Zoology (6 citations). Wangjun Fu has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Xuemei Li, Yutao Chen, Zihe Rao, Lei Wang, Xiaoying Feng, Chenlong Wang, Xiangxi Wang, Yidan Gao, Zhenjiang Zhang and Zijing Jia. Their work appears in journals such as Protein & Cell, Small Methods, Cell, Cell Host & Microbe and Nature Communications.
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.