Wu Jun

2.1k citations
88 papers · 1.3k · h-index 19

Impact in

    • Phytochemicals and Antioxidant Activities
    • 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

Wu Jun

85 papers receiving 1.3k citations

Peers

Wu Jun
Comparison fields: 5 of 119
  • Biochemistry 94
  • Plant Science 599
  • Biological Psychiatry 32
  • Molecular Biology 698
  • Behavioral Neuroscience 34
Replace Jingyan Zhang with:
Jingyan Zhang China
Tingting Sun China
Anita Kumari India
Sharmin Sultana Bangladesh
You Lu United States
Huan Li China
Wenqiang Wang China
Hong Chen China
Yuanling Chen China
Wu Jun relative to Jingyan Zhang China Jingyan Zhang's profile →
Citations per field
00.5×4.5×
Jingyan Zhang · 1×
Citations per year

Countries citing papers authored by Wu Jun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wu Jun Line = papers co-authored together Wu Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020156
2 2018104
3 200892
4 201488
5 199376
6 200866
7 201961
8 201857
9 201855
10 201345
11 201141
12 202037
13 201537
14 201229
15 201726
16 201121
17 201121
18 202118
19 201018
20 201217

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.

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