Jun Zou

4.0k total citations
115 papers, 2.8k citations indexed

About

Jun Zou is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jun Zou has authored 115 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Plant Science, 52 papers in Molecular Biology and 28 papers in Genetics. Recurrent topics in Jun Zou's work include Chromosomal and Genetic Variations (30 papers), Plant Disease Resistance and Genetics (24 papers) and Genetic Mapping and Diversity in Plants and Animals (23 papers). Jun Zou is often cited by papers focused on Chromosomal and Genetic Variations (30 papers), Plant Disease Resistance and Genetics (24 papers) and Genetic Mapping and Diversity in Plants and Animals (23 papers). Jun Zou collaborates with scholars based in China, Australia and United Kingdom. Jun Zou's co-authors include Jinling Meng, Peter Grabowski, Charles Cunningham, Christopher J. Secombes, Jinling Meng, Donghui Fu, Entang Tian, Annaliese S. Mason, Dandan Hu and J. Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bioresource Technology.

In The Last Decade

Jun Zou

111 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Zou China 30 1.6k 1.2k 537 479 215 115 2.8k
Xiuyun Zhao China 27 1.5k 0.9× 1.1k 0.9× 166 0.3× 176 0.4× 145 0.7× 114 2.5k
Wei Hua China 31 2.2k 1.4× 2.2k 1.7× 64 0.1× 489 1.0× 37 0.2× 98 3.4k
Bailin Li China 28 2.9k 1.8× 1.7k 1.3× 125 0.2× 1.2k 2.6× 16 0.1× 100 4.1k
William H. Vensel United States 33 1.9k 1.2× 1.6k 1.3× 72 0.1× 107 0.2× 36 0.2× 64 3.6k
Mark A. Taylor United Kingdom 35 2.8k 1.7× 2.0k 1.6× 64 0.1× 150 0.3× 64 0.3× 112 4.2k
Γεώργιος Παππάς Brazil 26 1.2k 0.7× 911 0.7× 104 0.2× 450 0.9× 82 0.4× 68 2.2k
Kai Zhao China 32 1.9k 1.2× 1.7k 1.4× 139 0.3× 192 0.4× 17 0.1× 179 3.1k
Wei Guo China 25 1.2k 0.7× 739 0.6× 112 0.2× 93 0.2× 22 0.1× 118 2.1k

Countries citing papers authored by Jun Zou

Since Specialization
Citations

This map shows the geographic impact of Jun Zou'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 Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Zou more than expected).

Fields of papers citing papers by Jun Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Zou. 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 Zou. The network helps show where Jun Zou may publish in the future.

Co-authorship network of co-authors of Jun Zou

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zou. A scholar is included among the top collaborators of Jun Zou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Zou. Jun Zou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Yuhao, Jun Zou, Biao Feng, et al.. (2025). Long-term N fertilization increases water use and use-efficiency of winter wheat. Field Crops Research. 325. 109808–109808.
2.
Feng, Biao, Datong Zhang, Jun Zou, et al.. (2025). Optimizing N applications increases maize yield and reduces environmental costs in a 12-year wheat-maize system. Field Crops Research. 322. 109741–109741. 5 indexed citations
3.
Wen, Xinya, Jie Lu, Jun Zou, et al.. (2025). Maize genotypes foster distinctive bacterial and fungal communities in the rhizosphere. Agriculture Ecosystems & Environment. 382. 109505–109505. 1 indexed citations
4.
Zou, Jun, Matthew Tom Harrison, Shouyang Liu, et al.. (2025). Fusing UAV multiple data and phenology to predict crop biomass. Information Processing in Agriculture. 13(1). 100–118. 1 indexed citations
6.
Huo, Zhaoxia, Entang Tian, Qin Han, et al.. (2025). Phenotypic advantages and improved genomic stability following selection in advanced selfing-generations of Brassica allohexaploids. Journal of genetics and genomics. 52(6). 799–811. 1 indexed citations
7.
Luo, Shipeng, Jun Zou, Mingming Shi, et al.. (2024). Effects of red-blue light spectrum on growth, yield, and photo-synthetic efficiency of lettuce in a uniformly illumination environment. Plant Soil and Environment. 70(5). 305–316. 6 indexed citations
8.
Zhang, Li, Hongbao Sun, Axiang Zheng, et al.. (2024). Optimal sowing time to adapt soybean production to global warming with different cultivars in the Huanghuaihai Farming Region of China. Field Crops Research. 312. 109386–109386. 9 indexed citations
9.
Zhang, Datong, Matthew Tom Harrison, Ke Liu, et al.. (2024). Optimizing N rate in wheat-maize rotation to match long-term and inter-seasonal N turnover for high yield and sustainability using STICS. Field Crops Research. 322. 109718–109718. 4 indexed citations
10.
Yang, Yinghui, Hao Wang, Zhesi He, et al.. (2024). Creation of rapeseed germplasm with high polyunsaturated fatty acid content by wild-relative introgression from Brassica carinata. Plant Communications. 6(3). 101193–101193. 1 indexed citations
11.
Qin, Pei, Shan Tang, Liang Guo, et al.. (2024). A gain-of-function mutation in BnaIAA13 disrupts vascular tissue and lateral root development in Brassica napus. Journal of Experimental Botany. 75(18). 5592–5610. 2 indexed citations
12.
Zhang, Li, Wenjie Li, Jørgen E. Olesen, et al.. (2023). Genetic progress battles climate variability: drivers of soybean yield gains in China from 2006 to 2020. Agronomy for Sustainable Development. 43(4). 8 indexed citations
13.
He, Zhesi, Rosy Raman, Hao Wang, et al.. (2023). A Brassica carinata pan-genome platform for Brassica crop improvement. Plant Communications. 5(1). 100725–100725. 12 indexed citations
14.
Han, Qin, et al.. (2023). Developing multifunctional crops by engineering Brassicaceae glucosinolate pathways. Plant Communications. 4(4). 100565–100565. 27 indexed citations
15.
Zou, Jun, Yuhao Yang, Xin Zhao, et al.. (2022). Farm-scale practical strategies to reduce carbon footprint and emergy while increasing economic benefits in crop production in the North China plain. Journal of Cleaner Production. 359. 131996–131996. 27 indexed citations
16.
Hu, Dandan, Rod J. Snowdon, Annaliese S. Mason, et al.. (2021). Exploring the gene pool ofBrassica napusby genomics‐based approaches. Plant Biotechnology Journal. 19(9). 1693–1712. 44 indexed citations
17.
Zhao, Peng, et al.. (2020). AtMIF1 increases seed oil content by attenuating GL2 inhibition. New Phytologist. 229(4). 2152–2162. 13 indexed citations
18.
Hu, Dandan, Yikai Zhang, Yingying Chen, et al.. (2018). Reconstituting the genome of a young allopolyploid crop, Brassica napus, with its related species. Plant Biotechnology Journal. 17(6). 1106–1118. 18 indexed citations
19.
Bayer, Philipp E., Bhavna Hurgobin, Agnieszka A. Golicz, et al.. (2017). Assembly and comparison of two closely related Brassica napus genomes. Plant Biotechnology Journal. 15(12). 1602–1610. 104 indexed citations
20.
Kono, Hidetoshi, Jeffery G. Saven, & Jun Zou. (2001). Statistical Theory for Protein Combinatorial Libraries. ScholarlyCommons (University of Pennsylvania). 2(2001). 33–36. 20 indexed citations

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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