Xun Wei
Impact in
- Metals and Alloys top 10%
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
Papers in
-
- Plant Reproductive Biology 8
- CRISPR and Genetic Engineering 5
- Photosynthetic Processes and Mechanisms 5
-
- Plant Molecular Biology Research 8
- Genetically Modified Organisms Research 4
- Co-authors
- Xiangyuan Wan (32 shared papers)Tianqing Liu (1 shared paper)Rong Guo (1 shared paper)Zhenying Dong (13 shared papers)Suowei Wu (10 shared papers)Stefan Reis (1 shared paper)Yan Wu (1 shared paper)Chuanzhen Zhang (1 shared paper)
- Journals
- Journal of Advanced Research (3 papers)Cells (3 papers)The Crop Journal (3 papers)Plant Biotechnology Journal (2 papers)Sustainability (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Xun Wei
55 papers receiving 985 citations
Xun Wei's Hit Papers
Peers
Comparison fields: 5 of 127
- Metals and Alloys 39
- Plant Science 351
- Agronomy and Crop Science 73
- General Agricultural and Biological Sciences 58
- Soil Science 62
Countries citing papers authored by Xun Wei
This map shows the geographic impact of Xun Wei'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 Xun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Wei more than expected).
Fields of papers citing papers by Xun Wei
This network shows the impact of papers produced by Xun Wei. 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 Xun Wei. The network helps show where Xun Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xun Wei, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Decoupling livestock and crop production at the household level in China Hit paper breakdown → | 2020 | 187 |
| 2 | 2002 | 75 | |
| 3 | 2022 | 54 | |
| 4 | 2023 | 45 | |
| 5 | 2019 | 38 | |
| 6 | 2009 | 35 | |
| 7 | 2015 | 34 | |
| 8 | 2015 | 32 | |
| 9 | 2022 | 31 | |
| 10 | 2014 | 29 | |
| 11 | 2018 | 28 | |
| 12 | 2023 | 26 | |
| 13 | 2022 | 26 | |
| 14 | 2023 | 25 | |
| 15 | 2023 | 23 | |
| 16 | 2022 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2024 | 20 | |
| 19 | 2022 | 18 | |
| 20 | 2017 | 17 |
About Xun Wei
Xun Wei is a scholar working on Molecular Biology, Plant Science, Genetics, Food Science and General Agricultural and Biological Sciences, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Reproductive Biology (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), CRISPR and Genetic Engineering (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Genetically Modified Organisms Research (4 papers), Bioeconomy and Sustainability Development (4 papers) and Crop Yield and Soil Fertility (4 papers). The work is most often cited by research in Metals and Alloys (39 citations), Plant Science (351 citations), Agronomy and Crop Science (73 citations), General Agricultural and Biological Sciences (58 citations) and Soil Science (62 citations). Xun Wei has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Xiangyuan Wan, Tianqing Liu, Rong Guo, Zhenying Dong, Suowei Wu, Stefan Reis, Yan Wu, Chuanzhen Zhang, A.P.J. Mol and Bi Wu. Their work appears in journals such as Journal of Advanced Research, Cells, The Crop Journal, Plant Biotechnology Journal and Sustainability.
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.