Xingying Yan

742 total citations
32 papers, 501 citations indexed

About

Xingying Yan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Xingying Yan has authored 32 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 18 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Xingying Yan's work include Plant Molecular Biology Research (14 papers), Research in Cotton Cultivation (12 papers) and Photosynthetic Processes and Mechanisms (6 papers). Xingying Yan is often cited by papers focused on Plant Molecular Biology Research (14 papers), Research in Cotton Cultivation (12 papers) and Photosynthetic Processes and Mechanisms (6 papers). Xingying Yan collaborates with scholars based in China, Germany and Singapore. Xingying Yan's co-authors include Jianyan Zeng, Jiana Li, Yan Pei, Liezhao Liu, Mi Zhang, Fuyou Fu, Yuehua Xiao, Hui Long, Cunmin Qu and Juan Zhao and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Developmental Cell.

In The Last Decade

Xingying Yan

27 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingying Yan China 11 383 293 77 51 37 32 501
Wenfeng Pei China 19 633 1.7× 266 0.9× 37 0.5× 66 1.3× 18 0.5× 46 704
Mengfan Qin China 14 589 1.5× 416 1.4× 87 1.1× 35 0.7× 29 0.8× 32 693
Wenhui Wei China 15 494 1.3× 290 1.0× 82 1.1× 39 0.8× 9 0.2× 44 591
Qiuhua Cai China 13 373 1.0× 201 0.7× 59 0.8× 14 0.3× 11 0.3× 37 449
Piwu Wang China 12 344 0.9× 210 0.7× 91 1.2× 30 0.6× 22 0.6× 39 441
Lavanya Dampanaboina United States 7 291 0.8× 169 0.6× 42 0.5× 20 0.4× 9 0.2× 12 364
Heming Zhao China 13 688 1.8× 433 1.5× 60 0.8× 16 0.3× 9 0.2× 28 774
Ivan Reyna‐Llorens United Kingdom 13 277 0.7× 275 0.9× 20 0.3× 43 0.8× 27 0.7× 16 409
Ajay Sandhu United States 7 359 0.9× 294 1.0× 101 1.3× 8 0.2× 24 0.6× 8 491
Allen Yi‐Lun Tsai Japan 14 740 1.9× 333 1.1× 15 0.2× 24 0.5× 18 0.5× 22 809

Countries citing papers authored by Xingying Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xingying Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingying Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xingying Yan. A scholar is included among the top collaborators of Xingying Yan 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 Xingying Yan. Xingying Yan 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.
Wang, Lingling, Xingying Yan, Zheng Chen, et al.. (2025). The Disruptions of Sphingolipid and Sterol Metabolism in the Short Fiber of Ligon-Lintless-1 Mutant Revealed Obesity Impeded Cotton Fiber Elongation and Secondary Cell Wall Deposition. International Journal of Molecular Sciences. 26(3). 1375–1375. 1 indexed citations
2.
3.
Wang, Fanlong, Lei Hou, Xianbi Li, et al.. (2025). N terminus and C terminus of Arabidopsis P4-ATPase AtALA1 facilitate the detoxification of the mycotoxin deoxynivalenol in wheat. Cell Reports. 44(5). 115641–115641.
4.
5.
Zhang, Jian, Qian Meng, Lingling Wang, et al.. (2024). Cotton sphingosine kinase GhLCBK1 participates in fiber cell elongation by affecting sphingosine-1-phophate and auxin synthesis. International Journal of Biological Macromolecules. 267(Pt 1). 131323–131323. 4 indexed citations
6.
Xu, Fan, Guiming Li, Sheng Yang He, et al.. (2024). Sphingolipid inhibitor response gene GhMYB86 controls fiber elongation by regulating microtubule arrangement. Journal of Integrative Plant Biology. 66(9). 1898–1914. 3 indexed citations
7.
Liu, Fang, Ting Wei, Lingling Wang, et al.. (2023). GhSMO2-2 is regulated by brassinosteroid signal and involved in cotton fiber elongation via influencing phytosterol and sphingolipid biosynthesis. Industrial Crops and Products. 205. 117527–117527. 6 indexed citations
8.
Li, Chengxiang, et al.. (2023). Single-nucleus sequencing deciphers developmental trajectories in rice pistils. Developmental Cell. 58(8). 694–708.e4. 21 indexed citations
9.
Yan, Mei, Jianyan Zeng, Xingying Yan, et al.. (2022). Integrated genetic mapping and transcriptome analysis reveal the BnaA03.IAA7 protein regulates plant architecture and gibberellin signaling in Brassica napus L.. Theoretical and Applied Genetics. 135(10). 3497–3510. 10 indexed citations
10.
Zeng, Jianyan, Jing Xi, Baoxia Li, et al.. (2022). Microtubules play a crucial role in regulating actin organization and cell initiation in cotton fibers. Plant Cell Reports. 41(4). 1059–1073. 3 indexed citations
11.
Ren, Hui, Xianbi Li, Yujie Li, et al.. (2022). Loss of function of VdDrs2, a P4-ATPase, impairs the toxin secretion and microsclerotia formation, and decreases the pathogenicity of Verticillium dahliae. Frontiers in Plant Science. 13. 944364–944364. 5 indexed citations
12.
Wang, Fanlong, Xianbi Li, Yujie Li, et al.. (2021). Arabidopsis P4 ATPase-mediated cell detoxification confers resistance to Fusarium graminearum and Verticillium dahliae. Nature Communications. 12(1). 6426–6426. 23 indexed citations
13.
Zeng, Jianyan, Mi Zhang, Lei Hou, et al.. (2019). Cytokinin inhibits cotton fiber initiation by disrupting PIN3a-mediated asymmetric accumulation of auxin in the ovule epidermis. Journal of Experimental Botany. 70(12). 3139–3151. 54 indexed citations
14.
Zhao, Juan, et al.. (2018). Improving Fiber Yield and Quality in the Short Season Cotton Variety Jinmian 11 by Introducing FBP7::iaaM. ACTA AGRONOMICA SINICA. 44(8). 1152–1158. 1 indexed citations
15.
Qin, Long, Ruochen Liu, Shuiqing Song, et al.. (2018). The phosphatidylinositol synthase gene (GhPIS) contributes to longer, stronger, and finer fibers in cotton. Molecular Genetics and Genomics. 293(5). 1139–1149. 12 indexed citations
16.
Zhang, Mi, Jianyan Zeng, Hui Long, et al.. (2016). Auxin Regulates Cotton Fiber Initiation via GhPIN-Mediated Auxin Transport. Plant and Cell Physiology. 58(2). pcw203–pcw203. 67 indexed citations
17.
Yan, Xingying, et al.. (2013). QTL Mapping for Oil, Protein, Cellulose, and Hemicellulose Contents in Seeds of Brassica napus L.. ACTA AGRONOMICA SINICA. 39(7). 1214–1214. 3 indexed citations
18.
Liu, Liezhao, Anna Stein, Benjamin Wittkop, et al.. (2012). A knockout mutation in the lignin biosynthesis gene CCR1 explains a major QTL for acid detergent lignin content in Brassica napus seeds. Theoretical and Applied Genetics. 124(8). 1573–1586. 54 indexed citations
19.
Li, Chao, Bo Li, Xingying Yan, et al.. (2010). QTL Analysis of Oil Content Difference in Two Environments in Brassica napus L.. ACTA AGRONOMICA SINICA. 37(2). 249–254. 1 indexed citations
20.
Fu, Fuyou, Liezhao Liu, Yourong Chai, et al.. (2007). Localization of QTLs for seed color using recombinant inbred lines of Brassica napus in different environments. Genome. 50(9). 840–854. 63 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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