Xiuxiang Zhao

762 total citations
23 papers, 332 citations indexed

About

Xiuxiang Zhao is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Xiuxiang Zhao has authored 23 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 7 papers in Molecular Biology and 4 papers in Endocrinology. Recurrent topics in Xiuxiang Zhao's work include Plant-Microbe Interactions and Immunity (12 papers), Plant Virus Research Studies (11 papers) and Plant Pathogenic Bacteria Studies (7 papers). Xiuxiang Zhao is often cited by papers focused on Plant-Microbe Interactions and Immunity (12 papers), Plant Virus Research Studies (11 papers) and Plant Pathogenic Bacteria Studies (7 papers). Xiuxiang Zhao collaborates with scholars based in China, Pakistan and United States. Xiuxiang Zhao's co-authors include Yuanhua Wu, Jianguang Chen, Taswar Ahsan, Muhammad Irfan, Mengnan An, Zihao Xia, Yuanhua Wu, Yi Guo, Xiaodong Li and Huamin Chen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Molecules and Frontiers in Microbiology.

In The Last Decade

Xiuxiang Zhao

23 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiuxiang Zhao China 8 207 73 46 41 32 23 332
Franck Paris France 4 313 1.5× 106 1.5× 30 0.7× 28 0.7× 51 1.6× 4 446
Sabina Anžlovar Slovenia 9 172 0.8× 133 1.8× 59 1.3× 74 1.8× 36 1.1× 16 327
Ane Stéfano Simionato Brazil 12 234 1.1× 159 2.2× 69 1.5× 63 1.5× 57 1.8× 26 445
Olga Cuneah Israel 8 189 0.9× 79 1.1× 21 0.5× 55 1.3× 15 0.5× 13 330
Radha Singh India 4 128 0.6× 88 1.2× 122 2.7× 18 0.4× 48 1.5× 11 282
Siew Ping Lim Japan 6 145 0.7× 148 2.0× 102 2.2× 25 0.6× 47 1.5× 7 339
Talwinder Kaur India 13 303 1.5× 147 2.0× 101 2.2× 43 1.0× 113 3.5× 20 519
Leandro De León Spain 12 304 1.5× 94 1.3× 18 0.4× 47 1.1× 36 1.1× 22 433
In Seon Kim South Korea 14 361 1.7× 185 2.5× 47 1.0× 37 0.9× 72 2.3× 25 593
Giorgia Novello Italy 13 297 1.4× 86 1.2× 42 0.9× 155 3.8× 60 1.9× 25 482

Countries citing papers authored by Xiuxiang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xiuxiang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuxiang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuxiang Zhao. A scholar is included among the top collaborators of Xiuxiang 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 Xiuxiang Zhao. Xiuxiang 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.
Chen, Xue, et al.. (2022). The diversity and organ distribution of endophytic bacteria of sweet cherry. ScienceAsia. 48(6). 839–839. 1 indexed citations
3.
Zhao, Xiuxiang, Miao Yu, Xiaoying Liu, et al.. (2021). Transcriptomic and Functional Analyses Indicate Novel Anti-viral Mode of Actions on Tobacco Mosaic Virus of a Microbial Natural Product ε-Poly-l-lysine. Journal of Agricultural and Food Chemistry. 69(7). 2076–2086. 25 indexed citations
4.
Zhou, Tao, Yong Chen, Jun Wang, et al.. (2021). Next-generation sequencing identification and multiplex RT-PCR detection for viruses infecting cigar and flue-cured tobacco. Molecular Biology Reports. 49(1). 237–247. 3 indexed citations
5.
Yu, Chao, Fenghuan Yang, Jia Shi, et al.. (2021). Transcriptome Analysis Revealed Overlapping and Special Regulatory Roles of RpoN1 and RpoN2 in Motility, Virulence, and Growth of Xanthomonas oryzae pv. oryzae. Frontiers in Microbiology. 12. 653354–653354. 7 indexed citations
6.
Zhao, Xiuxiang, Xinran Gao, Dan Xing, et al.. (2021). Characterization of small interfering RNAs derived from pepper mild mottle virus in infected pepper plants by high-throughput sequencing. Virus Research. 307. 198607–198607. 2 indexed citations
7.
8.
An, Mengnan, et al.. (2020). Transcriptomic and functional analyses reveal an antiviral role of autophagy during pepper mild mottle virus infection. BMC Plant Biology. 20(1). 495–495. 25 indexed citations
9.
Chen, Jianguang, et al.. (2019). Purification and Structural Analysis of the Effective Anti-TMV Compound ε-Poly-l-lysine Produced by Streptomyces ahygroscopicus. Molecules. 24(6). 1156–1156. 32 indexed citations
10.
Ahsan, Taswar, et al.. (2019). Action Mechanism of Streptomyces diastatochromogenes KX852460 Against Rhizoctonia solani AG-3 Involving Basidiospores Suppression and Oxidative Damage. Iranian Journal of Science and Technology Transactions A Science. 43(5). 2141–2147. 5 indexed citations
11.
Liu, He, Hongying Zheng, Fei Yan, et al.. (2019). Viral sequences required for efficient viral infection differ between two Chinese pepper mild mottle virus isolates. Virus Research. 267. 9–15. 6 indexed citations
12.
An, Mengnan, et al.. (2019). A Novel Biological Agent Cytosinpeptidemycin Inhibited the Pathogenesis of Tobacco Mosaic Virus by Inducing Host Resistance and Stress Response. Journal of Agricultural and Food Chemistry. 67(27). 7738–7747. 19 indexed citations
13.
Ahsan, Taswar, Jianguang Chen, Xiuxiang Zhao, Muhammad Irfan, & Yuanhua Wu. (2019). Exometabolomic study of extracellular metabolites in tobacco plant induced by ethyl acetate extracts of Streptomyces diastatochromogenes KX852460. Journal of Radiation Research and Applied Sciences. 12(1). 157–165. 2 indexed citations
14.
15.
Li, Limei, Yuanhua Wu, & Xiuxiang Zhao. (2010). Effect of boron on sucrose accumulation in watermelon and boron-induce resistance to Cucumber Green Mottle Mosaic Virus.. Zhongguo Nongye Daxue xuebao. 15(3). 57–62. 3 indexed citations
16.
Chen, Huamin, Junsong Pan, Xiuxiang Zhao, Jian‐Min Zhou, & Run Cai. (2008). Reporter-based screen for Arabidopsis mutants compromised in nonhost resistance. Science Bulletin. 53(7). 1027–1034. 3 indexed citations
17.
Wu, Yuanhua, et al.. (2008). The biological characteristics of cucumber green mottle mosaic virus and its effects on yield and quality of watermelon.. 39(4). 417–422. 3 indexed citations
18.
Zhao, Xiuxiang, Yuanhua Wu, & Ye Li. (2007). Inhibition of an antagonistic rhizobacteria B8 to Phytophthora parasitica var. nicotianae and its identification. Journal of Biological Control. 54–59. 1 indexed citations
19.
Zhao, Xiuxiang, Huamin Chen, & Yuanhua Wu. (2006). Inhibition of Silicate Bacteria B925 on Phytophthora parasitica var. nicotianae and its 16S rDNA Sequence Analysis. Tobacco Science & Technology. 2 indexed citations
20.
Wu, Yuanhua, et al.. (2005). Inhibition of cytosinpeptidemycin on {\sl Tobacco Mosaic Virus}. 31(4). 52–54. 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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