Jianjun Zhao

975 total citations
29 papers, 669 citations indexed

About

Jianjun Zhao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Jianjun Zhao has authored 29 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 14 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Jianjun Zhao's work include Nitrogen and Sulfur Effects on Brassica (7 papers), Plant Disease Resistance and Genetics (6 papers) and Plant nutrient uptake and metabolism (4 papers). Jianjun Zhao is often cited by papers focused on Nitrogen and Sulfur Effects on Brassica (7 papers), Plant Disease Resistance and Genetics (6 papers) and Plant nutrient uptake and metabolism (4 papers). Jianjun Zhao collaborates with scholars based in China, Netherlands and Germany. Jianjun Zhao's co-authors include Guusje Bonnema, Dunia Pino Del Carpio, Maarten Koornneef, Ping Lou, Shuxing Shen, Xiaowu Wang, Johan Bucher, Dick Vreugdenhil, Xiaofei Song and Vani S. Kulkarni and has published in prestigious journals such as PLoS ONE, New Phytologist and Journal of Experimental Botany.

In The Last Decade

Jianjun Zhao

28 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianjun Zhao China 13 579 407 127 44 16 29 669
Jiangzhe Zhao China 13 728 1.3× 351 0.9× 47 0.4× 47 1.1× 20 1.3× 21 804
Aili Liu China 13 649 1.1× 314 0.8× 41 0.3× 22 0.5× 11 0.7× 20 736
Xueyang Min China 14 397 0.7× 200 0.5× 33 0.3× 38 0.9× 20 1.3× 35 468
Kazuyoshi Kitazaki Japan 16 405 0.7× 397 1.0× 67 0.5× 25 0.6× 64 4.0× 37 610
Zeyong Zhang China 9 829 1.4× 440 1.1× 115 0.9× 9 0.2× 11 0.7× 9 899
Xiaojian Deng China 15 570 1.0× 551 1.4× 132 1.0× 9 0.2× 14 0.9× 43 769
Wen‐Zhao Xie China 7 449 0.8× 409 1.0× 118 0.9× 59 1.3× 18 1.1× 8 594
Zhilin Guan China 6 510 0.9× 450 1.1× 135 1.1× 91 2.1× 14 0.9× 7 653
Zhi Zou China 16 487 0.8× 421 1.0× 24 0.2× 69 1.6× 43 2.7× 40 641
Jianxin Wu China 9 288 0.5× 263 0.6× 34 0.3× 36 0.8× 33 2.1× 24 390

Countries citing papers authored by Jianjun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianjun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jianjun Zhao. A scholar is included among the top collaborators of Jianjun Zhao 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 Jianjun Zhao. Jianjun Zhao 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.
2.
Li, Na, Rui Yang, Shuxing Shen, & Jianjun Zhao. (2024). Molecular mechanism of flowering time regulation in Brassica rapa: similarities and differences with Arabidopsis. Horticultural Plant Journal. 10(3). 615–628. 10 indexed citations
3.
Gao, Ying, Yin Lu, Xiaomeng Zhang, et al.. (2021). Genetic analysis of the “head top shape” quality trait of Chinese cabbage and its association with rosette leaf variation. Horticulture Research. 8(1). 106–106. 11 indexed citations
4.
Lou, Ping, Scott Woody, Kathleen Greenham, et al.. (2020). Genetic and genomic resources to study natural variation in Brassica rapa. Plant Direct. 4(12). e00285–e00285. 13 indexed citations
5.
Luo, Shuangxia, Xing Wang, Xueping Chen, et al.. (2018). Genetic Analysis of Chinese Cabbage Reveals Correlation Between Rosette Leaf and Leafy Head Variation. Frontiers in Plant Science. 9. 1455–1455. 18 indexed citations
6.
Gu, Aixia, Lai Wei, Hui Dong, et al.. (2017). Coupling Seq-BSA and RNA-Seq Analyses Reveal the Molecular Pathway and Genes Associated with Heading Type in Chinese Cabbage. Frontiers in Genetics. 8. 176–176. 29 indexed citations
7.
Zhao, Jianjun, et al.. (2017). The Effect of Polyethylene Glycol (PEG) Modification on Fe Dispersal and the Catalytic Degradation of Phenol Wastewater. Water Air & Soil Pollution. 228(11). 5 indexed citations
8.
Zhao, Jianjun, et al.. (2016). Short Communication Development of microsatellite markers and genetic diversity analysis for Pelodiscus sinensis. Genetics and Molecular Research. 15(3). 3 indexed citations
9.
Lu, Yin, Aixia Gu, Yanhua Wang, et al.. (2016). Microspore Induced Doubled Haploids Production from Ethyl Methanesulfonate (EMS) Soaked Flower Buds Is an Efficient Strategy for Mutagenesis in Chinese Cabbage. Frontiers in Plant Science. 7. 1780–1780. 18 indexed citations
10.
Gu, Aixia, Jianjun Zhao, Yanhua Wang, et al.. (2015). Glucosinolates in Self-crossed Progenies of Monosomic Cabbage Alien Addition Lines in Chinese Cabbage. Horticultural Plant Journal. 1(2). 86–92. 2 indexed citations
11.
Zhang, Ningwen, Jianjun Zhao, Frederic Lens, et al.. (2014). Morphology, Carbohydrate Composition and Vernalization Response in a Genetically Diverse Collection of Asian and European Turnips (Brassica rapa subsp. rapa). PLoS ONE. 9(12). e114241–e114241. 25 indexed citations
12.
Xing, Yingqi, Xinmei Jiang, Juan Wang, et al.. (2013). Angiotensin-converting enzyme gene polymorphism and middle cerebral artery stenosis in a Chinese Han population.. PubMed. 8(15). 1410–7. 4 indexed citations
13.
Zhao, Jianjun, et al.. (2012). ASSOCIATIONS SEARCH OF MOLECULAR MARKERS WITH DETERMINANT OF BLOSSOM-TIME IN NATURAL AND ARTIFICIAL POPULATION OF Brassica rapa L.. Sel skokhozyaistvennaya Biologiya. 21–32. 1 indexed citations
14.
Gao, Jie, et al.. (2011). Effects of salt stress on seeds germination of turnip (Brassica rapa L.).. Xinjiang nongye kexue. 48(3). 487–492. 2 indexed citations
15.
Guan, Rongzhan, et al.. (2010). Genetic analysis of major locus group constitutions of growth stages in upland cotton.. Zhongguo nongye Kexue. 43(20). 4140–4148. 6 indexed citations
16.
Zhao, Jianjun, et al.. (2010). BrFLC2 (FLOWERING LOCUS C) as a candidate gene for a vernalization response QTL in Brassica rapa. Journal of Experimental Botany. 61(6). 1817–1825. 98 indexed citations
17.
Lou, Ping, Jianjun Zhao, Hongju He, et al.. (2008). Quantitative trait loci for glucosinolate accumulation in Brassica rapa leaves. New Phytologist. 179(4). 1017–1032. 52 indexed citations
18.
Zhao, Jianjun, Diaan Jamar, Ping Lou, et al.. (2008). Quantitative trait loci analysis of phytate and phosphate concentrations in seeds and leaves of Brassica rapa. Plant Cell & Environment. 31(7). 887–900. 38 indexed citations
19.
Lou, Ping, Jianjun Zhao, Jung Sun Kim, et al.. (2007). Quantitative trait loci for flowering time and morphological traits in multiple populations of Brassica rapa. Journal of Experimental Botany. 58(14). 4005–4016. 121 indexed citations
20.
Lou, Ping, et al.. (2005). An AFLP-based genetic linkage map of Chinese cabbage using double haploid (DH) population. 2 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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