Wang Bi
Impact in
- Plant Science top 5%
- Plant Virus Research Studies
- Plant Pathogens and Resistance
- Plant-Microbe Interactions and Immunity
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Plant Virus Research Studies 10
- Plant Pathogens and Resistance 8
- Phytochemistry and Biological Activities 4
- Plant-Microbe Interactions and Immunity 3
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- Fungal Plant Pathogen Control 10
- Co-authors
- Xueping Zhou (7 shared papers)Yan Xie (5 shared papers)Xiuling Yang (6 shared papers)Xu Feng (12 shared papers)Shu Xu (15 shared papers)Peng Liu (5 shared papers)Xingzeng Zhao (7 shared papers)Caixia Yue (4 shared papers)
In The Last Decade
Wang Bi
83 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Plant Science 580
- Biomaterials 159
- Ecology, Evolution, Behavior and Systematics 160
- Molecular Medicine 38
- Reproductive Medicine 52
Countries citing papers authored by Wang Bi
This map shows the geographic impact of Wang Bi'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 Wang Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Bi more than expected).
Fields of papers citing papers by Wang Bi
This network shows the impact of papers produced by Wang Bi. 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 Wang Bi. The network helps show where Wang Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Bi, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 90 | |
| 2 | 2019 | 81 | |
| 3 | 2013 | 80 | |
| 4 | 2013 | 71 | |
| 5 | 2017 | 71 | |
| 6 | 2013 | 67 | |
| 7 | 2013 | 55 | |
| 8 | 2014 | 55 | |
| 9 | 2013 | 52 | |
| 10 | 2012 | 44 | |
| 11 | 2017 | 44 | |
| 12 | 2014 | 42 | |
| 13 | 2020 | 42 | |
| 14 | 2022 | 41 | |
| 15 | 2020 | 34 | |
| 16 | 2019 | 33 | |
| 17 | 2021 | 32 | |
| 18 | 2020 | 31 | |
| 19 | 2022 | 29 | |
| 20 | 2011 | 27 |
About Wang Bi
Wang Bi is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Food Science, Molecular Biology and Animal Science and Zoology, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Virus Research Studies (10 papers), Fungal Plant Pathogen Control (10 papers), Plant Pathogens and Resistance (8 papers), Phytochemistry and Biological Activities (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Essential Oils and Antimicrobial Activity (3 papers) and Coccidia and coccidiosis research (3 papers). The work is most often cited by research in Plant Science (580 citations), Biomaterials (159 citations), Ecology, Evolution, Behavior and Systematics (160 citations), Molecular Medicine (38 citations) and Reproductive Medicine (52 citations). Wang Bi has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Xueping Zhou, Yan Xie, Xiuling Yang, Xu Feng, Shu Xu, Peng Liu, Xingzeng Zhao, Caixia Yue, Lintao Cai and Bihua Shi. Their work appears in journals such as Pest Management Science, Pesticide Biochemistry and Physiology, Molecules, International Journal of Molecular Sciences 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.