Yucui Wu
Impact in
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- Traditional Chinese Medicine Analysis
- Modeling and Simulation top 10%
Papers in
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- Plant biochemistry and biosynthesis 5
- Plant Gene Expression Analysis 4
- Photosynthetic Processes and Mechanisms 4
- Microbial Metabolic Engineering and Bioproduction 4
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- Plant Stress Responses and Tolerance 3
- Co-authors
- Yuan Zhang (5 shared papers)Zhezhi Wang (6 shared papers)Qian Ge (3 shared papers)Xiaoyan Cao (5 shared papers)Wenping Hua (2 shared papers)Xiaorong Guo (2 shared papers)Chen Chen (1 shared paper)Yaping Yan (1 shared paper)
- Journals
- PROTOPLASMA (2 papers)Frontiers in Plant Science (1 paper)Gene (1 paper)Journal of Agricultural and Food Chemistry (1 paper)The Plant Journal (1 paper)
- Partner nations
- China
In The Last Decade
Yucui Wu
17 papers receiving 400 citations
Peers
Comparison fields: 5 of 65
- Complementary and alternative medicine 38
- Modeling and Simulation 21
- Molecular Biology 287
- Plant Science 142
- Biotechnology 23
Countries citing papers authored by Yucui Wu
This map shows the geographic impact of Yucui 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 Yucui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yucui Wu more than expected).
Fields of papers citing papers by Yucui Wu
This network shows the impact of papers produced by Yucui 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 Yucui Wu. The network helps show where Yucui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yucui 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 | 2013 | 65 | |
| 2 | 2014 | 63 | |
| 3 | 2018 | 56 | |
| 4 | 2015 | 42 | |
| 5 | 2016 | 33 | |
| 6 | 2019 | 28 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 21 | |
| 10 | 2021 | 18 | |
| 11 | 2024 | 13 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2013 | 1 |
About Yucui Wu
Yucui Wu is a scholar working on Molecular Biology, Plant Science, Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health and Complementary and alternative medicine, having authored 17 papers that have together received 404 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Plant Stress Responses and Tolerance (3 papers), Traditional Chinese Medicine Analysis (2 papers), COVID-19 epidemiological studies (2 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Complementary and alternative medicine (38 citations), Modeling and Simulation (21 citations), Molecular Biology (287 citations), Plant Science (142 citations) and Biotechnology (23 citations). Yucui Wu has collaborated with scholars based in China. Frequent co-authors include Yuan Zhang, Zhezhi Wang, Qian Ge, Xiaoyan Cao, Wenping Hua, Xiaorong Guo, Chen Chen, Yaping Yan, Min Liu and Lujing Wang. Their work appears in journals such as PROTOPLASMA, Frontiers in Plant Science, Gene, Journal of Agricultural and Food Chemistry and The Plant Journal.
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.