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
-
- Photosynthetic Processes and Mechanisms 6
- Plant Gene Expression Analysis 5
- Plant Reproductive Biology 5
- Molecular Biology Techniques and Applications 5
-
- Plant Molecular Biology Research 8
- Plant Physiology and Cultivation Studies 7
- Co-authors
- Shaoling Zhang (8 shared papers)Fang Chen (3 shared papers)Hua Zhang (1 shared paper)Chuang Li (1 shared paper)Lan‐Ying Hu (1 shared paper)Kang‐Di Hu (1 shared paper)Shuwei Wei (1 shared paper)Gai‐Fang Yao (1 shared paper)
- Journals
- International Journal of Molecular Sciences (3 papers)Journal of Integrative Agriculture (2 papers)Genes (2 papers)Frontiers in Oncology (1 paper)Agronomy (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wu Jun
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Biochemistry 94
- Plant Science 599
- Biological Psychiatry 32
- Molecular Biology 698
- Behavioral Neuroscience 34
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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 156 | |
| 2 | 2018 | 104 | |
| 3 | 2008 | 92 | |
| 4 | 2014 | 88 | |
| 5 | 1993 | 76 | |
| 6 | 2008 | 66 | |
| 7 | 2019 | 61 | |
| 8 | 2018 | 57 | |
| 9 | 2018 | 55 | |
| 10 | 2013 | 45 | |
| 11 | 2011 | 41 | |
| 12 | 2020 | 37 | |
| 13 | 2015 | 37 | |
| 14 | 2012 | 29 | |
| 15 | 2017 | 26 | |
| 16 | 2011 | 21 | |
| 17 | 2011 | 21 | |
| 18 | 2021 | 18 | |
| 19 | 2010 | 18 | |
| 20 | 2012 | 17 |
About Wu Jun
Wu Jun is a scholar working on Molecular Biology, Plant Science, Genetics, Agronomy and Crop Science and Food Science, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant Physiology and Cultivation Studies (7 papers), Photosynthetic Processes and Mechanisms (6 papers), Plant Gene Expression Analysis (5 papers), Plant Reproductive Biology (5 papers), Molecular Biology Techniques and Applications (5 papers), Biodiesel Production and Applications (4 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Biochemistry (94 citations), Plant Science (599 citations), Biological Psychiatry (32 citations), Molecular Biology (698 citations) and Behavioral Neuroscience (34 citations). Wu Jun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shaoling Zhang, Fang Chen, Hua Zhang, Chuang Li, Lan‐Ying Hu, Kang‐Di Hu, Shuwei Wei, Gai‐Fang Yao, Zhuo Han and Long Wang. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Integrative Agriculture, Genes, Frontiers in Oncology and Agronomy.
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.