Chulang Yu

474 total citations
24 papers, 337 citations indexed

About

Chulang Yu is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Chulang Yu has authored 24 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 11 papers in Molecular Biology and 3 papers in Biotechnology. Recurrent topics in Chulang Yu's work include Plant-Microbe Interactions and Immunity (12 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant Virus Research Studies (7 papers). Chulang Yu is often cited by papers focused on Plant-Microbe Interactions and Immunity (12 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant Virus Research Studies (7 papers). Chulang Yu collaborates with scholars based in China, United Kingdom and Russia. Chulang Yu's co-authors include Jianping Chen, Chengqi Yan, Ye Cheng, Jie Zhou, Xüming Wang, Yong Yang, Stuart A. MacFarlane, Natalia O. Kalinina, Andrew J. Love and Michael Taliansky and has published in prestigious journals such as PLoS ONE, New Phytologist and International Journal of Molecular Sciences.

In The Last Decade

Chulang Yu

24 papers receiving 332 citations

Peers

Chulang Yu

ENDOC

GENET

Defang Gan China

Saet‐Byul Kim South Korea

Marijn Knip Netherlands

Milan Navrátil Czechia

Neelendra Kumar Germany

Hongqin Miao China

Takeaki Ishihara Japan

A. Moretti France

Marschal Bellinger United States

Wing‐Sham Lee United Kingdom

Defang Gan China

Chulang Yu

384 ×1.3

271 ×2.0

50 ×1.0

ENDOC

21 ×0.6

22 ×0.9

GENET

Citations per year, relative to Chulang Yu Chulang Yu (= 1×) peers Defang Gan

Countries citing papers authored by Chulang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Chulang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chulang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Chulang Yu. A scholar is included among the top collaborators of Chulang Yu 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 Chulang Yu. Chulang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liang, Weifang, Yuhang Zhou, Zhongtian Xu, et al.. (2024). Identification and Genome Sequencing of Novel Virulent Strains of Xanthomonas oryzae pv. oryzae Causing Rice Bacterial Blight in Zhejiang, China. Pathogens. 13(12). 1083–1083. 1 indexed citations

MacFarlane, Stuart A., Yanjun Li, Qianzhuo Mao, et al.. (2022). The P3N-PIPO Protein Encoded by Wheat Yellow Mosaic Virus Is a Pathogenicity Determinant and Promotes Its Pathogenicity through Interaction with NbRLK6 in Nicotiana benthamiana. Viruses. 14(10). 2171–2171. 4 indexed citations

Yang, Yong, Xinyu Chen, Weifang Liang, et al.. (2021). Characterization and Proteomic Analysis of Novel Rice Lesion Mimic Mutant with Enhanced Disease Resistance. Rice Science. 28(5). 466–478. 3 indexed citations

Zhou, Jie, Chao Zheng, Yang Liao, et al.. (2020). Targeted Transgene Expression in Rice Using a Callus Strong Promoter for Selectable Marker Gene Control. Frontiers in Plant Science. 11. 602680–602680. 7 indexed citations

Yang, Yong, Weifang Liang, Xüming Wang, et al.. (2019). H2O2 Induces Association of RCA with the Thylakoid Membrane to Enhance Resistance of Oryza meyeriana to Xanthomonas oryzae pv. oryzae. Plants. 8(9). 351–351. 9 indexed citations

Shaw, Jane, Chulang Yu, Antonida V. Makhotenko, et al.. (2019). Interaction of a plant virus protein with the signature Cajal body protein coilin facilitates salicylic acid‐mediated plant defence responses. New Phytologist. 224(1). 439–453. 27 indexed citations

Dong, Yan, Xianping Fang, Yong Yang, et al.. (2017). Comparative Proteomic Analysis of Susceptible and Resistant Rice Plants during Early Infestation by Small Brown Planthopper. Frontiers in Plant Science. 8. 1744–1744. 20 indexed citations

Dong, Yan, Chulang Yu, Xianping Fang, et al.. (2016). Analysis of the Proteins Secreted from the Oryza meyeriana Suspension-Cultured Cells Induced by Xanthomonas oryzae pv. oryzae. PLoS ONE. 11(5). e0154793–e0154793. 9 indexed citations

Xian, Chen, Zhiping Deng, Chulang Yu, Chengqi Yan, & Jianping Chen. (2016). Secretome analysis of rice suspension-cultured cells infected by Xanthomonas oryzae pv.oryza (Xoo). Proteome Science. 14(1). 2–2. 7 indexed citations

10.

Love, Andrew J., et al.. (2016). Cajal bodies and their role in plant stress and disease responses. RNA Biology. 14(6). 779–790. 48 indexed citations

11.

Zhou, Jie, Xüming Wang, Yong Yang, et al.. (2014). Specific Expression of DR5 Promoter in Rice Roots Using a tCUP Derived Promoter-Reporter System. PLoS ONE. 9(1). e87008–e87008. 9 indexed citations

12.

Han, Xueying, Yong Yang, Xuming Wang, et al.. (2014). Quantitative Trait Loci Mapping for Bacterial Blight Resistance in Rice Using Bulked Segregant Analysis. International Journal of Molecular Sciences. 15(7). 11847–11861. 21 indexed citations

13.

Zhou, Jie, Yang Liao, Xüming Wang, et al.. (2013). Enhanced transgene expression in rice following selection controlled by weak promoters. BMC Biotechnology. 13(1). 29–29. 26 indexed citations

14.

Yu, Chulang, David Karlin, Yuwen Lu, et al.. (2013). Experimental and bioinformatic evidence that raspberry leaf blotch emaravirus P4 is a movement protein of the 30K superfamily. Journal of General Virology. 94(9). 2117–2128. 49 indexed citations

15.

Wang, Xüming, Yong Yang, Jie Zhou, et al.. (2012). Two-step method for constructing Arabidopsis artificial microRNA vectors. Biotechnology Letters. 34(7). 1343–1349. 4 indexed citations

16.

Wang, Xüming, Jie Zhou, Yong Yang, et al.. (2012). Transcriptome Analysis of a Progeny of Somatic Hybrids of Cultivated Rice (Oryza sativa L.) and Wild Rice (Oryza meyeriana L.) With High Resistance to Bacterial Blight. Journal of Phytopathology. 161(5). 324–334. 9 indexed citations

17.

Yang, Yong, Chulang Yu, Xuming Wang, et al.. (2011). Inoculation with Xanthomonas oryzae pv. oryzae induces thylakoid membrane association of Rubisco activase in Oryza meyeriana. Journal of Plant Physiology. 168(14). 1701–1704. 11 indexed citations

18.

Wang, Xüming, Jie Zhou, Yong Yang, et al.. (2011). Agrobacterium-mediated transformation efficiency is altered in a novel rice bacterial blight resistance cultivar and is influenced by environmental temperature. Physiological and Molecular Plant Pathology. 77(1). 33–40. 3 indexed citations

19.

Yu, Chulang, et al.. (2010). Recent Advances in Proteomic Studies on Rice-Pathogen Interactions. Zhongguo shuidao kexue. 24(6). 647–651. 1 indexed citations

20.

Wang, Xüming, Yong Yang, Chulang Yu, et al.. (2010). A Highly Efficient Method for Construction of Rice Artificial MicroRNA Vectors. Molecular Biotechnology. 46(3). 211–218. 12 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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