Xia Xu

2.5k total citations · 1 hit paper
23 papers, 1.6k citations indexed

About

Xia Xu is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Xia Xu has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 13 papers in Molecular Biology and 2 papers in Biotechnology. Recurrent topics in Xia Xu's work include Photosynthetic Processes and Mechanisms (10 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant Pathogenic Bacteria Studies (6 papers). Xia Xu is often cited by papers focused on Photosynthetic Processes and Mechanisms (10 papers), Plant-Microbe Interactions and Immunity (8 papers) and Plant Pathogenic Bacteria Studies (6 papers). Xia Xu collaborates with scholars based in China, United States and Philippines. Xia Xu's co-authors include Patrick E. Canlas, Pamela C. Ronald, Sigrid Heuer, Julia Bailey‐Serres, Takeshi Fukao, D. J. Mackill, Kenong Xu, Abdelbagi M. Ismail, Yongfeng Shi and Jianli Wu and has published in prestigious journals such as Nature, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Xia Xu

22 papers receiving 1.5k citations

Hit Papers

Sub1A is an ethylene-response-factor-like gene that confe... 2006 2026 2012 2019 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia Xu China 11 1.4k 470 224 129 46 23 1.6k
Naeem H. Syed United Kingdom 23 1.8k 1.3× 1.4k 3.0× 311 1.4× 33 0.3× 31 0.7× 37 2.5k
Patrice Déhais France 15 619 0.4× 779 1.7× 266 1.2× 36 0.3× 30 0.7× 30 1.2k
Meral Tunc‐Ozdemir United States 16 1.2k 0.9× 963 2.0× 93 0.4× 40 0.3× 54 1.2× 23 1.7k
Piyada Juntawong Thailand 17 896 0.6× 777 1.7× 32 0.1× 127 1.0× 17 0.4× 27 1.4k
Anna V. Klepikova Russia 13 567 0.4× 642 1.4× 95 0.4× 52 0.4× 36 0.8× 34 922
Liesbeth De Milde Belgium 20 1.5k 1.0× 1.1k 2.3× 86 0.4× 29 0.2× 74 1.6× 23 1.6k
Beata Kmiec Sweden 14 380 0.3× 644 1.4× 54 0.2× 42 0.3× 33 0.7× 19 822
Sandra Thibivilliers United States 15 1.1k 0.8× 583 1.2× 42 0.2× 49 0.4× 31 0.7× 24 1.4k
Mohsen Hajheidari Germany 14 1.0k 0.7× 754 1.6× 93 0.4× 20 0.2× 27 0.6× 18 1.3k

Countries citing papers authored by Xia Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xia Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Xu. A scholar is included among the top collaborators of Xia Xu 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 Xia Xu. Xia Xu 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.
Liao, Xinwei, Xia Xu, Hai Zhou, et al.. (2024). The Identification and Gene Mapping of Spotted Leaf Mutant spl43 in Rice. International Journal of Molecular Sciences. 25(12). 6637–6637. 2 indexed citations
2.
Li, Panpan, et al.. (2024). A Novel Single Base Mutation in OsSPL42 Leads to the Formation of Leaf Lesions in Rice. International Journal of Molecular Sciences. 25(22). 11871–11871.
3.
Zhang, Xiaobo, Panpan Li, Zhonghao Wang, et al.. (2023). ORYZA SATIVA SPOTTED-LEAF 41 (OsSPL41) Negatively Regulates Plant Immunity in Rice. Rice Science. 30(5). 426–436. 5 indexed citations
4.
He, Yan, et al.. (2021). Correction to: PREMATURE SENESCENCE LEAF 50 Promotes Heat Stress Tolerance in Rice (Oryza sativa L.). Rice. 14(1). 63–63. 4 indexed citations
5.
He, Yan, Zhihong Zhang, Yongfeng Shi, et al.. (2021). OsNAC109 regulates senescence, growth and development by altering the expression of senescence- and phytohormone-associated genes in rice. Plant Molecular Biology. 105(6). 637–654. 22 indexed citations
6.
He, Yan, et al.. (2021). PREMATURE SENESCENCE LEAF 50 Promotes Heat Stress Tolerance in Rice (Oryza sativa L.). Rice. 14(1). 53–53. 15 indexed citations
7.
Shi, Yongfeng, et al.. (2020). Chloroplast SRP54s are Essential for Chloroplast Development in Rice. Rice. 13(1). 54–54. 10 indexed citations
8.
Wang, Huimei, Yongfeng Shi, Xiaobo Zhang, Xia Xu, & Jianli Wu. (2020). Characterization of a Novel Rice Dynamic Narrow-Rolled Leaf Mutant with Deficiencies in Aromatic Amino Acids. International Journal of Molecular Sciences. 21(4). 1521–1521. 2 indexed citations
9.
Zhang, Zhihong, Yan He, Xiaobo Zhang, et al.. (2020). Characterization of a novel allele encoding pheophorbide a oxygenase in rice. Plant Signaling & Behavior. 16(3). 1864606–1864606. 6 indexed citations
10.
Shi, Lei, Xiaobo Zhang, Yongfeng Shi, et al.. (2019). OsCDC48/48E complex is required for plant survival in rice (Oryza sativa L.). Plant Molecular Biology. 100(1-2). 163–179. 12 indexed citations
11.
Xu, Xia, Zheng Chen, Yongfeng Shi, et al.. (2018). Functional inactivation of OsGCNT induces enhanced disease resistance to Xanthomonas oryzae pv. oryzae in rice. BMC Plant Biology. 18(1). 264–264. 9 indexed citations
12.
Zhang, Xiaobo, Baohua Feng, Huimei Wang, et al.. (2017). A substitution mutation in OsPELOTA confers bacterial blight resistance by activating the salicylic acid pathway. Journal of Integrative Plant Biology. 60(2). 160–172. 50 indexed citations
13.
Huang, Qina, Baohua Feng, Yongfeng Shi, et al.. (2015). Characterization and Gene Mapping of a Spotted-leaf Mutant spl21 in Rice (Oryza sativa L.). ACTA AGRONOMICA SINICA. 41(10). 1519–1528. 1 indexed citations
14.
Shi, Yongfeng, Xiaobo Zhang, Baohua Feng, et al.. (2015). Identification and gene mapping of a spotted-leaf mutant hm197 in rice.. Zhongguo shuidao kexue. 29(5). 447–456. 1 indexed citations
15.
Huang, Qina, Yongfeng Shi, Xiaobo Zhang, et al.. (2015). Single base substitution inOsCDC48is responsible for premature senescence and death phenotype in rice. Journal of Integrative Plant Biology. 58(1). 12–28. 43 indexed citations
16.
Shi, Yongfeng, Baohua Feng, Huimei Wang, et al.. (2014). Identification and Genetic Analysis of a Novel Rice Spotted-Leaf Mutant with Broad-Spectrum Resistance to Xanthomonas oryzae pv. oryzae. Journal of Integrative Agriculture. 13(4). 713–721. 5 indexed citations
17.
Rohila, Jai S., Mei Chen, Ronald L. Cerny, et al.. (2009). Protein-Protein Interactions of Tandem Affinity Purified Protein Kinases from Rice. PLoS ONE. 4(8). e6685–e6685. 29 indexed citations
18.
Jung, Ki‐Hong, Jinwon Lee, Chris Dardick, et al.. (2008). Identification and Functional Analysis of Light-Responsive Unique Genes and Gene Family Members in Rice. PLoS Genetics. 4(8). e1000164–e1000164. 109 indexed citations
19.
Xu, Kenong, Xia Xu, Takeshi Fukao, et al.. (2006). Sub1A is an ethylene-response-factor-like gene that confers submergence tolerance to rice. Nature. 442(7103). 705–708. 1121 indexed citations breakdown →
20.
Rohila, Jai S., Mei Chen, Shawn Chen, et al.. (2006). Protein–protein interactions of tandem affinity purification‐tagged protein kinases in rice. The Plant Journal. 46(1). 1–13. 115 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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