Ejiao Wu
Impact in
- Plant Science top 5%
- Plant Pathogens and Resistance
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
- Plant Virus Research Studies
- Plant Parasitism and Resistance
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
Papers in
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- Plant Pathogens and Resistance 17
- Plant Disease Resistance and Genetics 8
- Plant-Microbe Interactions and Immunity 3
- Plant Virus Research Studies 3
- Nematode management and characterization studies 2
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- Plant Pathogens and Fungal Diseases 9
- Co-authors
- Jiasui Zhan (20 shared papers)Lina Yang (19 shared papers)Li‐Ping Shang (14 shared papers)Wen Zhu (13 shared papers)Meng‐Han He (7 shared papers)Yanping Wang (9 shared papers)Dun‐Chun He (4 shared papers)Jeremy J. Burdon (2 shared papers)
In The Last Decade
Ejiao Wu
25 papers receiving 575 citations
Peers
Comparison fields: 5 of 59
- Plant Science 501
- Cell Biology 153
- Horticulture 8
- Ecology, Evolution, Behavior and Systematics 125
- Genetics 76
Countries citing papers authored by Ejiao Wu
This map shows the geographic impact of Ejiao 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 Ejiao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ejiao Wu more than expected).
Fields of papers citing papers by Ejiao Wu
This network shows the impact of papers produced by Ejiao 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 Ejiao Wu. The network helps show where Ejiao Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ejiao 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
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2015 | 42 | |
| 3 | 2016 | 40 | |
| 4 | 2019 | 40 | |
| 5 | 2016 | 39 | |
| 6 | 2019 | 34 | |
| 7 | 2015 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 2018 | 30 | |
| 10 | 2014 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2020 | 26 | |
| 13 | 2016 | 22 | |
| 14 | 2018 | 19 | |
| 15 | 2018 | 19 | |
| 16 | 2019 | 16 | |
| 17 | 2017 | 16 | |
| 18 | 2022 | 13 | |
| 19 | 2023 | 10 | |
| 20 | 2023 | 9 |
About Ejiao Wu
Ejiao Wu is a scholar working on Plant Science, Cell Biology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Genetics, having authored 25 papers that have together received 583 indexed citations. Recurring topics across this work include Plant Pathogens and Resistance (17 papers), Plant Pathogens and Fungal Diseases (9 papers), Plant Disease Resistance and Genetics (8 papers), Fungal Plant Pathogen Control (5 papers), Plant-Microbe Interactions and Immunity (3 papers), Plant Virus Research Studies (3 papers), Genetic diversity and population structure (3 papers) and Nematode management and characterization studies (2 papers). The work is most often cited by research in Plant Science (501 citations), Cell Biology (153 citations), Horticulture (8 citations), Ecology, Evolution, Behavior and Systematics (125 citations) and Genetics (76 citations). Ejiao Wu has collaborated with scholars based in China, Sweden and Australia. Frequent co-authors include Jiasui Zhan, Lina Yang, Li‐Ping Shang, Wen Zhu, Meng‐Han He, Yanping Wang, Dun‐Chun He, Jeremy J. Burdon, Peter H. Thrall and Mizhen Zhao. Their work appears in journals such as Evolutionary Applications, Scientific Reports, Molecular Plant-Microbe Interactions, Journal of the Science of Food and Agriculture and Journal of Fungi.
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.