Xiaoyi Shan

1.5k total citations
27 papers, 1.0k citations indexed

About

Xiaoyi Shan is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Xiaoyi Shan has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 11 papers in Molecular Biology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Xiaoyi Shan's work include Plant Molecular Biology Research (12 papers), Plant Parasitism and Resistance (9 papers) and Insect-Plant Interactions and Control (7 papers). Xiaoyi Shan is often cited by papers focused on Plant Molecular Biology Research (12 papers), Plant Parasitism and Resistance (9 papers) and Insect-Plant Interactions and Control (7 papers). Xiaoyi Shan collaborates with scholars based in China, United States and Singapore. Xiaoyi Shan's co-authors include Daoxin Xie, Y. Zhang, Dongqi Xie, Wen Peng, Zhonghua Wang, Jianbin Yan, Peng Wen, Junxia Wang, Dean Jiang and Bodan Su and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Xiaoyi Shan

25 papers receiving 990 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoyi Shan China	13	781	572	195	79	53	27	1.0k
Minmin Du China	13	1.3k 1.7×	797 1.4×	331 1.7×	112 1.4×	87 1.6×	19	1.6k
Chhana Ullah Germany	15	657 0.8×	389 0.7×	131 0.7×	102 1.3×	48 0.9×	16	899
Chunmei Ren China	12	1.1k 1.4×	829 1.4×	386 2.0×	110 1.4×	124 2.3×	23	1.4k
Vanina Ziosi Italy	17	963 1.2×	312 0.5×	82 0.4×	37 0.5×	81 1.5×	32	1.0k
Chris van Schie Netherlands	6	686 0.9×	428 0.7×	163 0.8×	109 1.4×	68 1.3×	7	931
Angela Rasori Italy	16	849 1.1×	416 0.7×	46 0.2×	50 0.6×	54 1.0×	32	956
Thomas Griebel Germany	12	934 1.2×	392 0.7×	70 0.4×	53 0.7×	13 0.2×	25	1.1k
Carlos Molina Germany	13	878 1.1×	646 1.1×	114 0.6×	39 0.5×	22 0.4×	38	1.1k
Shiduku Taniguchi Japan	10	633 0.8×	293 0.5×	252 1.3×	90 1.1×	14 0.3×	11	786
Jonas Goossens Belgium	9	547 0.7×	348 0.6×	250 1.3×	72 0.9×	12 0.2×	11	704

Countries citing papers authored by Xiaoyi Shan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyi Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyi Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyi Shan. A scholar is included among the top collaborators of Xiaoyi Shan 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 Xiaoyi Shan. Xiaoyi Shan 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

Liu, Xiaokang, Shiping Tian, Zhanquan Zhang, et al.. (2025). The pathogen effector BcSSP2 suppresses the NPC phase separation to facilitate Botrytis cinerea infection. Nature Communications. 16(1). 8610–8610.

Su, Bodan, et al.. (2025). Phosphorylation of Arabidopsis NRT1.1 regulates plant stomatal aperture and drought resistance in low nitrate condition. BMC Plant Biology. 25(1). 95–95. 3 indexed citations

Du, Ran, et al.. (2025). Sensl: a synthetic biology sensor for tracking strigolactone signaling in rice. New Phytologist. 247(3). 1031–1040.

Wang, Jiaojiao, Gaofeng Pei, Xiaokang Liu, et al.. (2023). Phase separation of the nuclear pore complex facilitates selective nuclear transport to regulate plant defense against pathogen and pest invasion. Molecular Plant. 16(6). 1016–1030. 18 indexed citations

Su, Bodan, Anqi Wang, Daoxin Xie, & Xiaoyi Shan. (2023). VA-TIRFM-based SM kymograph analysis for dwell time and colocalization of plasma membrane protein in plant cells. Plant Methods. 19(1). 70–70. 2 indexed citations

Hu, Shuai, Kai Yu, Jianbin Yan, Xiaoyi Shan, & Daoxin Xie. (2022). Jasmonate perception: Ligand–receptor interaction, regulation, and evolution. Molecular Plant. 16(1). 23–42. 46 indexed citations

Su, Bodan, Anqi Wang, & Xiaoyi Shan. (2022). The role of N-myristoylation in homeostasis of brassinosteroid signaling kinase 1. Planta. 255(4). 73–73. 3 indexed citations

Li, Rui, Yongfang Yang, Hao Lou, et al.. (2022). Jasmonate-based warfare between the pathogenic intruder and host plant: who wins?. Journal of Experimental Botany. 74(4). 1244–1257. 11 indexed citations

Watkins, Justin M., Timothy J Ross-Elliott, Xiaoyi Shan, et al.. (2021). Differential regulation of G protein signaling in Arabidopsis through two distinct pathways that internalize AtRGS1. Science Signaling. 14(695). 13 indexed citations

10.

Su, Bodan, Xi Zhang, Li Li, et al.. (2021). Dynamic spatial reorganization of BSK1 complexes in the plasma membrane underpins signal-specific activation for growth and immunity. Molecular Plant. 14(4). 588–603. 42 indexed citations

11.

Zhang, Xi, et al.. (2020). High-efficiency procedure to characterize, segment, and quantify complex multicellularity in raw micrographs in plants. Plant Methods. 16(1). 100–100. 6 indexed citations

12.

Li, Li, et al.. (2019). JA-Induced Endocytosis of AtRGS1 Is Involved in G-Protein Mediated JA Responses. International Journal of Molecular Sciences. 20(15). 3779–3779. 9 indexed citations

13.

Liu, Shuai, et al.. (2019). Expression of Genes in New Sprouts of Cunninghamia lanceolata Grown Under Dark and Light Conditions. Journal of Plant Growth Regulation. 39(1). 481–491. 3 indexed citations

14.

Wu, Jiaye, et al.. (2019). Nitric Oxide Enhances Cytotoxicity of Lead by Modulating the Generation of Reactive Oxygen Species and Is Involved in the Regulation of Pb2+ and Ca2+ Fluxes in Tobacco BY-2 Cells. Plants. 8(10). 403–403. 11 indexed citations

15.

Zhang, Jian, Jianwei Xiao, Yuqian Li, et al.. (2017). PDM3, a pentatricopeptide repeat-containing protein, affects chloroplast development. Journal of Experimental Botany. 68(20). 5615–5627. 37 indexed citations

16.

Zhang, Ting, Shanshan Dong, Eric S. McLamore, et al.. (2015). MeJA Affects Root Growth by Modulation of Transmembrane Auxin Flux in the Transition Zone. Journal of Plant Growth Regulation. 35(1). 256–265. 16 indexed citations

17.

Shan, Xiaoyi, Chenggang Li, Peng Wen, & Gao Bi-da. (2011). New perspective of jasmonate function in leaf senescence. Plant Signaling & Behavior. 6(4). 575–577. 12 indexed citations

18.

Shan, Xiaoyi, et al.. (2010). Proteomics Study of COI1‐regulated Proteins in Arabidopsis Flower. Journal of Integrative Plant Biology. 52(4). 410–419. 17 indexed citations

19.

Shan, Xiaoyi, et al.. (2010). The Role of Arabidopsis Rubisco Activase in Jasmonate-Induced Leaf Senescence . PLANT PHYSIOLOGY. 155(2). 751–764. 160 indexed citations

20.

Shan, Xiaoyi, Y. Zhang, Wen Peng, Zhonghua Wang, & Dongqi Xie. (2009). Molecular mechanism for jasmonate-induction of anthocyanin accumulation in Arabidopsis. Journal of Experimental Botany. 60(13). 3849–3860. 305 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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