Jun Wei
- Biological Psychiatry top 10%
- Tryptophan and brain disorders 4
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- Plant Gene Expression Analysis 6
- Plant biochemistry and biosynthesis 5
- Plant tissue culture and regeneration 5
- Plant Reproductive Biology 4
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- Phytochemicals and Antioxidant Activities 3
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- Plant Molecular Biology Research 8
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- Genetic Associations and Epidemiology 2
- Co-authors
- Houhua LiYi LinAsish K. GhoshMinghua WuJohn VargaHan WangJiaxin MengNing Guo
- Journals
- Asian Journal of Andrology (1 paper)Biological Psychiatry (1 paper)The Plant Journal (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Jun Wei
27 papers receiving 445 citations
Peers
Comparison fields: 5 of 82
- Biological Psychiatry 32
- Molecular Biology 304
- Biochemistry 26
- Horticulture 4
- Plant Science 135
Countries citing papers authored by Jun Wei
This map shows the geographic impact of Jun 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 Jun Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wei more than expected).
Fields of papers citing papers by Jun Wei
This network shows the impact of papers produced by Jun 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 Jun Wei. The network helps show where Jun Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 46 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 23 | |
| 10 | 2017 | 36 | |
| 11 | 2016 | 23 | |
| 12 | 2013 | 15 | |
| 13 | 2012 | 26 | |
| 14 | Effect of different light quality on DNA methylation variation for brown cotton ( Gossypium hirstum ) | 2011 | 6 |
| 15 | 2009 | 17 | |
| 16 | 2008 | 36 | |
| 17 | 2003 | 16 | |
| 18 | Association study between interleukin-1beta gene (IL-1beta) and schizophrenia | 2003 | 5 |
| 19 | 2003 | 50 | |
| 20 | Methods for Investigating Root Exudates of Plants | 2003 | 1 |
About Jun Wei
Jun Wei is a scholar working on Biological Psychiatry, Biochemistry, Plant Science, Behavioral Neuroscience and Molecular Biology, having authored 30 papers that have together received 467 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (6 papers), Plant biochemistry and biosynthesis (5 papers), Plant tissue culture and regeneration (5 papers), Tryptophan and brain disorders (4 papers), Plant Reproductive Biology (4 papers), Phytochemicals and Antioxidant Activities (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Molecular Biology (304 citations), Biochemistry (26 citations), Horticulture (4 citations) and Plant Science (135 citations). Jun Wei has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Houhua Li, Yi Lin, Asish K. Ghosh, Minghua Wu, John Varga, Han Wang, Jiaxin Meng, Ning Guo, Qilian Qin and Lang Zhou. Their work appears in journals such as Asian Journal of Andrology, Biological Psychiatry, The Plant Journal, Oncology Reports and Journal of Agricultural and Food Chemistry.
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.