Wei Xi
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Research in Cotton Cultivation
- Wheat and Barley Genetics and Pathology
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- Plant Gene Expression Analysis
- Plant tissue culture and regeneration
- Photosynthetic Processes and Mechanisms
- Plant Reproductive Biology
Papers in
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- Plant Molecular Biology Research 12
- Plant Stress Responses and Tolerance 7
- Wheat and Barley Genetics and Pathology 6
- Plant Disease Resistance and Genetics 5
- Chromosomal and Genetic Variations 4
- Research in Cotton Cultivation 4
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- Plant tissue culture and regeneration 5
- Plant Reproductive Biology 4
- Co-authors
- Xiaoyang Ge (14 shared papers)Lisen Liu (6 shared papers)Fuguang Li (6 shared papers)Jingjing Zhan (5 shared papers)Yanyan Zhao (4 shared papers)Muhammad Sajjad (4 shared papers)Ye Wang (5 shared papers)Yanpeng Ding (4 shared papers)
In The Last Decade
Wei Xi
25 papers receiving 499 citations
Peers
Comparison fields: 5 of 43
- Plant Science 411
- Molecular Biology 247
- Molecular Medicine 15
- Horticulture 3
- Endocrinology 11
Countries citing papers authored by Wei Xi
This map shows the geographic impact of Wei Xi'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 Wei Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Xi more than expected).
Fields of papers citing papers by Wei Xi
This network shows the impact of papers produced by Wei Xi. 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 Wei Xi. The network helps show where Wei Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Xi, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2021 | 67 | |
| 3 | 2022 | 40 | |
| 4 | 2018 | 38 | |
| 5 | 2019 | 34 | |
| 6 | 2021 | 30 | |
| 7 | 2019 | 25 | |
| 8 | 2023 | 23 | |
| 9 | 2024 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2023 | 15 | |
| 12 | 2023 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2023 | 7 |
About Wei Xi
Wei Xi is a scholar working on Plant Science, Molecular Biology, Genetics, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 29 papers that have together received 503 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), Plant Stress Responses and Tolerance (7 papers), Wheat and Barley Genetics and Pathology (6 papers), Plant Disease Resistance and Genetics (5 papers), Plant tissue culture and regeneration (5 papers), Plant Reproductive Biology (4 papers), Chromosomal and Genetic Variations (4 papers) and Research in Cotton Cultivation (4 papers). The work is most often cited by research in Plant Science (411 citations), Molecular Biology (247 citations), Molecular Medicine (15 citations), Horticulture (3 citations) and Endocrinology (11 citations). Wei Xi has collaborated with scholars based in China, Estonia and Spain. Frequent co-authors include Xiaoyang Ge, Lisen Liu, Fuguang Li, Jingjing Zhan, Yanyan Zhao, Muhammad Sajjad, Ye Wang, Yanpeng Ding, Yanli Chen and Peng Wang. Their work appears in journals such as Frontiers in Plant Science, Agronomy, International Journal of Molecular Sciences, Plant Biotechnology Journal and Plant Physiology and Biochemistry.
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.