Wu Jun
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Plant Science top 5%
- Plant Molecular Biology Research
- Light effects on plants
- Plant-Microbe Interactions and Immunity
Papers in
-
- Plant Gene Expression Analysis 6
- Photosynthetic Processes and Mechanisms 5
- Plant Reproductive Biology 5
- Molecular Biology Techniques and Applications 5
-
- Plant Molecular Biology Research 8
- Plant Physiology and Cultivation Studies 7
- Plant nutrient uptake and metabolism 4
- Co-authors
- Shaoling Zhang (8 shared papers)Shuwei Wei (1 shared paper)Lan‐Ying Hu (1 shared paper)Hua Zhang (1 shared paper)Gai‐Fang Yao (1 shared paper)Zhuo Han (1 shared paper)Kang‐Di Hu (1 shared paper)Chuang Li (1 shared paper)
- Journals
- International Journal of Molecular Sciences (3 papers)Journal of Integrative Agriculture (2 papers)Genes (2 papers)Poultry Science (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Wu Jun
82 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Biochemistry 104
- Plant Science 575
- Biological Psychiatry 34
- Behavioral Neuroscience 38
- Molecular Biology 683
Countries citing papers authored by Wu Jun
This map shows the geographic impact of Wu Jun'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 Wu Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Jun more than expected).
Fields of papers citing papers by Wu Jun
This network shows the impact of papers produced by Wu Jun. 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 Wu Jun. The network helps show where Wu Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Jun, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 155 | |
| 2 | 2018 | 92 | |
| 3 | 2008 | 86 | |
| 4 | 2014 | 80 | |
| 5 | 1993 | 69 | |
| 6 | 2019 | 61 | |
| 7 | 2018 | 55 | |
| 8 | 2018 | 54 | |
| 9 | 2008 | 45 | |
| 10 | 2013 | 43 | |
| 11 | 2011 | 37 | |
| 12 | 2015 | 37 | |
| 13 | 2020 | 34 | |
| 14 | 2012 | 28 | |
| 15 | 2017 | 26 | |
| 16 | 2011 | 21 | |
| 17 | 2011 | 20 | |
| 18 | 2021 | 16 | |
| 19 | 2010 | 16 | |
| 20 | 2012 | 16 |
About Wu Jun
Wu Jun is a scholar working on Molecular Biology, Plant Science, Genetics, Agronomy and Crop Science and Food Science, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Physiology and Cultivation Studies (7 papers), Plant Gene Expression Analysis (6 papers), Photosynthetic Processes and Mechanisms (5 papers), Plant Reproductive Biology (5 papers), Molecular Biology Techniques and Applications (5 papers), Animal Genetics and Reproduction (4 papers) and Plant nutrient uptake and metabolism (4 papers). The work is most often cited by research in Biochemistry (104 citations), Plant Science (575 citations), Biological Psychiatry (34 citations), Behavioral Neuroscience (38 citations) and Molecular Biology (683 citations). Wu Jun has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shaoling Zhang, Shuwei Wei, Lan‐Ying Hu, Hua Zhang, Gai‐Fang Yao, Zhuo Han, Kang‐Di Hu, Chuang Li, Fang Chen and Canping Pan. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Integrative Agriculture, Genes, Poultry Science 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.