Xiuling Yang

2.3k total citations
65 papers, 1.6k citations indexed

About

Xiuling Yang is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Xiuling Yang has authored 65 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 19 papers in Endocrinology and 12 papers in Molecular Biology. Recurrent topics in Xiuling Yang's work include Plant Virus Research Studies (46 papers), Plant and Fungal Interactions Research (19 papers) and Insect-Plant Interactions and Control (11 papers). Xiuling Yang is often cited by papers focused on Plant Virus Research Studies (46 papers), Plant and Fungal Interactions Research (19 papers) and Insect-Plant Interactions and Control (11 papers). Xiuling Yang collaborates with scholars based in China, United States and Canada. Xiuling Yang's co-authors include Xueping Zhou, Yan Xie, Fangfang Li, Aiming Wang, Yaqin Wang, Yinzi Li, David M. Bisaro, Wang Bi, Yuzhen Mei and Changjun Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Xiuling Yang

59 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiuling Yang China 20 1.3k 347 343 341 135 65 1.6k
Ashish Srivastava India 14 431 0.3× 62 0.2× 151 0.4× 78 0.2× 56 0.4× 82 702
Muhammad Farooq Pakistan 13 366 0.3× 134 0.4× 170 0.5× 91 0.3× 51 0.4× 37 622
Candace Whitmer Collmer United States 16 479 0.4× 40 0.1× 180 0.5× 188 0.6× 24 0.2× 19 882
Erin K. O’Reilly United States 10 272 0.2× 45 0.1× 191 0.6× 100 0.3× 126 0.9× 13 759
Kevin Webb United Kingdom 20 494 0.4× 44 0.1× 371 1.1× 60 0.2× 26 0.2× 35 1.2k
Marzia Giribaldi Italy 23 343 0.3× 40 0.1× 318 0.9× 23 0.1× 22 0.2× 54 1.4k
Anna Nadal Spain 19 436 0.3× 41 0.1× 606 1.8× 8 0.0× 87 0.6× 41 906
Mari Nevas Finland 17 109 0.1× 109 0.3× 148 0.4× 163 0.5× 211 1.6× 40 1.1k
Fernando Poblete Chile 12 86 0.1× 16 0.0× 103 0.3× 102 0.3× 38 0.3× 30 572
Susan Breen Australia 14 902 0.7× 39 0.1× 264 0.8× 10 0.0× 86 0.6× 19 1.1k

Countries citing papers authored by Xiuling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiuling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuling Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuling Yang. A scholar is included among the top collaborators of Xiuling Yang 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 Xiuling Yang. Xiuling Yang 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.
Li, Chenyang, Jianxiang Wu, Shuai Fu, et al.. (2024). Development of a transgenic rice line with strong and broad resistance against four devastating rice viruses through expressing a single hairpin RNA construct. Plant Biotechnology Journal. 22(8). 2142–2144. 6 indexed citations
2.
3.
Mei, Yuzhen, Yaqin Wang, Fangfang Li, et al.. (2023). Molecular characterization and pathogenicity of an infectious clone of tomato leaf curl New Delhi virus isolate infecting Cucumis melo. SHILAP Revista de lepidopterología. 3(1). 51–51. 1 indexed citations
4.
Li, Shupeng, et al.. (2023). WRKY1 represses the WHIRLY1 transcription factor to positively regulate plant defense against geminivirus infection. PLoS Pathogens. 19(4). e1011319–e1011319. 18 indexed citations
5.
Chen, Cheng, Min Du, Yaqin Wang, Xueping Zhou, & Xiuling Yang. (2023). Molecular identification and development of an infectious cDNA clone of Trichosanthes kirilowii-infecting cucurbit mild mosaic virus. Virology. 588. 109891–109891. 1 indexed citations
6.
7.
Tao, Xiaorong, et al.. (2022). ty-5 Confers Broad-Spectrum Resistance to Geminiviruses. Viruses. 14(8). 1804–1804. 17 indexed citations
8.
Li, Fangfang, et al.. (2022). Occurrence and distribution of geminiviruses in China. Science China Life Sciences. 65(8). 1498–1503. 32 indexed citations
9.
Du, Min, et al.. (2022). A Distinct Tobamovirus Associated With Trichosanthes kirilowii Mottle Mosaic Disease. Frontiers in Microbiology. 13. 927230–927230. 4 indexed citations
10.
Du, Min, Yongzhi Wang, Cheng Chen, et al.. (2022). Molecular Characterization and Pathogenicity of a Novel Soybean-Infecting Monopartite Geminivirus in China. Viruses. 14(2). 341–341. 10 indexed citations
11.
Liu, Ting, et al.. (2021). A mixed method evaluation of an integrated course in improving critical thinking and creative self-efficacy among nursing students. Nurse Education Today. 106. 105067–105067. 25 indexed citations
12.
Guo, Yujie, Xiuling Yang, Yanhua Zhang, et al.. (2021). Identification and expression analysis of MicroRNAs in chicken spleen in a corticosterone-induced stress model. Research in Veterinary Science. 136. 287–296. 7 indexed citations
13.
Liu, Ting, et al.. (2021). Effectiveness of simulation debriefing methods in nursing education: A systematic review and meta-analysis. Nurse Education Today. 107. 105113–105113. 42 indexed citations
14.
Wang, Dongxue, et al.. (2020). RepA Promotes the Nucleolar Exclusion of the V2 Protein of Mulberry Mosaic Dwarf-Associated Virus. Frontiers in Microbiology. 11. 1828–1828. 4 indexed citations
15.
Li, Chunfu, Qing Wang, Zhiyong Peng, et al.. (2019). Generation of FOS gene knockout lines from a human embryonic stem cell line using CRISPR/Cas9. Stem Cell Research. 39. 101479–101479. 3 indexed citations
16.
Li, Fangfang, Xiuling Yang, David M. Bisaro, & Xueping Zhou. (2018). The βC1 Protein of Geminivirus–Betasatellite Complexes: A Target and Repressor of Host Defenses. Molecular Plant. 11(12). 1424–1426. 49 indexed citations
17.
Zhong, Xiao Yan, et al.. (2018). CFTR activation suppresses glioblastoma cell proliferation, migration and invasion. Biochemical and Biophysical Research Communications. 508(4). 1279–1285. 13 indexed citations
18.
Mei, Yuzhen, Yaqin Wang, Tao Hu, et al.. (2018). Nucleocytoplasmic Shuttling of Geminivirus C4 Protein Mediated by Phosphorylation and Myristoylation Is Critical for Viral Pathogenicity. Molecular Plant. 11(12). 1466–1481. 71 indexed citations
19.
Bi, Wang, Lanlan Wang, Fangyuan Chen, et al.. (2016). MicroRNA profiling of the whitefly Bemisia tabaci Middle East-Aisa Minor I following the acquisition of Tomato yellow leaf curl China virus. Virology Journal. 13(1). 20–20. 19 indexed citations
20.
Guo, Wei, Xiuling Yang, Yan Xie, Xiaofeng Cui, & Xueping Zhou. (2009). Tomato yellow leaf curl Thailand virus-[Y72] from Yunnan is a monopartite begomovirus associated with DNAβ. Virus Genes. 38(2). 328–333. 23 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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