Jun Wei
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Plant Gene Expression Analysis 7
- Plant biochemistry and biosynthesis 6
- Plant tissue culture and regeneration 5
- Plant Reproductive Biology 4
-
- Plant Molecular Biology Research 8
- Co-authors
- Houhua Li (8 shared papers)Yi Lin (2 shared papers)Asish K. Ghosh (1 shared paper)John Varga (1 shared paper)Minghua Wu (1 shared paper)Han Wang (2 shared papers)Jiaxin Meng (2 shared papers)Ning Guo (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (2 papers)Life Sciences (1 paper)Journal of Applied Microbiology (1 paper)Molecular Biology Reports (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Jun Wei
31 papers receiving 496 citations
Peers
Comparison fields: 5 of 81
- Biological Psychiatry 32
- Biochemistry 30
- Molecular Biology 317
- Horticulture 4
- Plant Science 148
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-authors
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 57 | |
| 2 | 2023 | 52 | |
| 3 | 2013 | 46 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 40 | |
| 6 | 2008 | 38 | |
| 7 | 2012 | 31 | |
| 8 | 2011 | 27 | |
| 9 | 2022 | 23 | |
| 10 | 2016 | 23 | |
| 11 | 2009 | 18 | |
| 12 | 2024 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2003 | 16 | |
| 15 | 2013 | 15 | |
| 16 | 2019 | 9 | |
| 17 | Effect of different light quality on DNA methylation variation for brown cotton ( Gossypium hirstum ) | 2011 | 6 |
| 18 | Association study between interleukin-1beta gene (IL-1beta) and schizophrenia | 2003 | 5 |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Jun Wei
Jun Wei is a scholar working on Molecular Biology, Plant Science, Biochemistry, Biological Psychiatry and Cancer Research, having authored 31 papers that have together received 516 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Gene Expression Analysis (7 papers), Plant biochemistry and biosynthesis (6 papers), Plant tissue culture and regeneration (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Plant Reproductive Biology (4 papers), Tryptophan and brain disorders (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Biochemistry (30 citations), Molecular Biology (317 citations), Horticulture (4 citations) and Plant Science (148 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, John Varga, Minghua Wu, Han Wang, Jiaxin Meng, Ning Guo, Mei‐Ling Han and Lang Zhou. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Life Sciences, Journal of Applied Microbiology, Molecular Biology Reports and Frontiers in Plant Science.
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.