Wu Chen
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
Papers in
-
- Horticultural and Viticultural Research 16
- Food Science 17
- Fermentation and Sensory Analysis 15
- Co-authors
- Ping Liu (1 shared paper)Jinping Chen (1 shared paper)Jun Wang (12 shared papers)Haocheng Wu (11 shared papers)Chang‐Qing Duan (14 shared papers)Zheyuan Ding (10 shared papers)Yu Wang (6 shared papers)Junfen Lin (10 shared papers)
- Journals
- Food Chemistry (6 papers)PLoS ONE (4 papers)Scientific Reports (2 papers)Food Research International (2 papers)Frontiers in Public Health (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wu Chen
73 papers receiving 1.1k citations
Wu Chen's Hit Papers
Peers
Comparison fields: 5 of 125
- Tourism, Leisure and Hospitality Management 40
- Infectious Diseases 302
- Food Science 273
- Biochemistry 62
- Modeling and Simulation 43
Countries citing papers authored by Wu Chen
This map shows the geographic impact of Wu Chen'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 Wu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Chen more than expected).
Fields of papers citing papers by Wu Chen
This network shows the impact of papers produced by Wu Chen. 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 Wu Chen. The network helps show where Wu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Chen, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Viral Metagenomics Revealed Sendai Virus and Coronavirus Infection of Malayan Pangolins (Manis javanica) Hit paper breakdown → | 2019 | 247 |
| 2 | 2017 | 100 | |
| 3 | 2021 | 51 | |
| 4 | 2018 | 38 | |
| 5 | 2019 | 38 | |
| 6 | 2017 | 35 | |
| 7 | 2020 | 32 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 27 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 25 | |
| 12 | 2014 | 23 | |
| 13 | 2017 | 21 | |
| 14 | 2018 | 21 | |
| 15 | 2022 | 21 | |
| 16 | 2012 | 21 | |
| 17 | 2023 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2022 | 19 |
About Wu Chen
Wu Chen is a scholar working on Plant Science, Food Science, Molecular Biology, Infectious Diseases and Epidemiology, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Horticultural and Viticultural Research (16 papers), Fermentation and Sensory Analysis (15 papers), Plant biochemistry and biosynthesis (9 papers), Influenza Virus Research Studies (4 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers), Plant and animal studies (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (40 citations), Infectious Diseases (302 citations), Food Science (273 citations), Biochemistry (62 citations) and Modeling and Simulation (43 citations). Wu Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ping Liu, Jinping Chen, Jun Wang, Haocheng Wu, Chang‐Qing Duan, Zheyuan Ding, Yu Wang, Junfen Lin, Fei He and Hao-Cheng Lu. Their work appears in journals such as Food Chemistry, PLoS ONE, Scientific Reports, Food Research International and Frontiers in Public Health.
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.