Xiaoshan Wang

700 total citations
33 papers, 529 citations indexed

About

Xiaoshan Wang is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Xiaoshan Wang has authored 33 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 12 papers in Molecular Biology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Xiaoshan Wang's work include Plant Stress Responses and Tolerance (11 papers), Plant Molecular Biology Research (9 papers) and Natural Compound Pharmacology Studies (6 papers). Xiaoshan Wang is often cited by papers focused on Plant Stress Responses and Tolerance (11 papers), Plant Molecular Biology Research (9 papers) and Natural Compound Pharmacology Studies (6 papers). Xiaoshan Wang collaborates with scholars based in China, United States and Poland. Xiaoshan Wang's co-authors include Jianguo Han, Qinglin Li, Hui Cheng, Zhenwu Wei, Mei Wang, Xia Lun-zhu, Jingjing Su, Fenggen Yan, Guoqi Zhao and Bing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Journal.

In The Last Decade

Xiaoshan Wang

32 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoshan Wang China 12 343 216 62 61 34 33 529
Saeed Irian Iran 13 256 0.7× 163 0.8× 30 0.5× 66 1.1× 24 0.7× 55 600
Jingjing Chen China 15 220 0.6× 377 1.7× 38 0.6× 101 1.7× 44 1.3× 54 687
Lijun Ling China 16 241 0.7× 148 0.7× 45 0.7× 39 0.6× 65 1.9× 45 581
Chun‐Yan Sang China 15 74 0.2× 250 1.2× 75 1.2× 35 0.6× 54 1.6× 53 715
Tufail Bashir South Korea 11 404 1.2× 277 1.3× 20 0.3× 18 0.3× 20 0.6× 16 661
Lilly M. Saleena India 14 281 0.8× 189 0.9× 30 0.5× 30 0.5× 42 1.2× 46 589
Eline H. Verbon Netherlands 7 471 1.4× 209 1.0× 17 0.3× 18 0.3× 23 0.7× 7 740
Shoko Shinoda Japan 9 374 1.1× 331 1.5× 33 0.5× 62 1.0× 8 0.2× 25 613
Shuyu Cai China 14 665 1.9× 369 1.7× 30 0.5× 16 0.3× 39 1.1× 31 1.0k

Countries citing papers authored by Xiaoshan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoshan Wang. A scholar is included among the top collaborators of Xiaoshan Wang 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 Xiaoshan Wang. Xiaoshan Wang 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.
Sun, Ying, Ruijuan Yang, Min Liu, et al.. (2025). CRISPR/Cas9-mediated knockout of PvTCP19/22 enhances tiller number and biomass yield in switchgrass. Industrial Crops and Products. 226. 120689–120689. 2 indexed citations
2.
Wu, Bingchao, Dan Luo, Jie Zhu, et al.. (2025). The conservative chloroplast genomic features and comparative analysis provide new evidence for the unification of Pennisetum and Cenchrus. Industrial Crops and Products. 226. 120747–120747. 1 indexed citations
3.
Shen, Sicong, Ling Pan, Junhao Li, et al.. (2025). The Involvement of Amino Acid Metabolism in the Mechanisms of Salt Tolerance Adaptation in Medicago sativa and Medicago truncatula. Plants. 14(6). 929–929. 1 indexed citations
4.
Yang, Ruijuan, Zhenying Wu, Ying Sun, et al.. (2024). miR156‐PvSPL2 controls culm development by transcriptional repression of switchgrass CYTOKININ OXIDASE/DEHYDROGENASE4. The Plant Journal. 118(6). 2055–2067. 4 indexed citations
5.
Wu, Bingchao, Jie Zhu, Dan Luo, et al.. (2023). Comparative analysis of switchgrass chloroplast genomes provides insights into identification, phylogenetic relationships and evolution of different ecotypes. Industrial Crops and Products. 205. 117570–117570. 6 indexed citations
6.
Wang, Xiaoshan, et al.. (2023). Molecular mechanisms of miR172a and its target gene LbrTOE3 regulating maturation in Lilium. Planta. 258(3). 4 indexed citations
7.
Yang, Yuchen, et al.. (2023). The evolution and expansion of RWP-RK gene family improve the heat adaptability of elephant grass (Pennisetum purpureum Schum.). BMC Genomics. 24(1). 510–510. 11 indexed citations
8.
9.
Zhang, Ailing, Yang Ji, Min Sun, et al.. (2021). Research on the drought tolerance mechanism of Pennisetum glaucum (L.) in the root during the seedling stage. BMC Genomics. 22(1). 568–568. 20 indexed citations
10.
11.
Wang, Bingsheng, et al.. (2020). Functional characterization of a receptor for activated C kinase 1 (RACK1) gene from upland cotton (Gossypium hirsutum L.). Plant Growth Regulation. 91(3). 359–369. 1 indexed citations
12.
Wang, Hongfeng, Yiteng Xu, Jianjun Shi, et al.. (2019). Genome-wide characterization of SPL family in Medicago truncatula reveals the novel roles of miR156/SPL module in spiky pod development. BMC Genomics. 20(1). 552–552. 27 indexed citations
13.
Zhang, Bing, Jianxiu Liu, Xiaoshan Wang, & Zhenwu Wei. (2018). Full-length RNA sequencing reveals unique transcriptome composition in bermudagrass. Plant Physiology and Biochemistry. 132. 95–103. 35 indexed citations
14.
Wang, Mei, Chen Dong, Hui Cheng, et al.. (2014). Gambogenic Acid Kills Lung Cancer Cells through Aberrant Autophagy. PLoS ONE. 9(1). e83604–e83604. 40 indexed citations
15.
Wang, Xiaoshan, Zhenwu Wei, Dalin Liu, & Guoqi Zhao. (2011). Effects of NaCl and silicon on activities of antioxidative enzymes in roots, shoots and leaves of alfalfa. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(4). 545–549. 35 indexed citations
16.
Wang, Xiaoshan. (2011). Synthesis and anti-platelet aggregation activities of nicotinic acid derivatives. Zhongguo yaowu huaxue zazhi. 1 indexed citations
17.
Yan, Fenggen, Mei Wang, Jiaming Li, et al.. (2011). Gambogenic acid induced mitochondrial-dependent apoptosis and referred to Phospho-Erk1/2 and Phospho-p38 MAPK in human hepatoma HepG2 cells. Environmental Toxicology and Pharmacology. 33(2). 181–190. 68 indexed citations
18.
Cheng, Hui, Jingjing Su, Mei Wang, et al.. (2011). Gambogenic acid inhibits proliferation of A549 cells through apoptosis inducing through up-regulation of the p38 MAPK cascade. Journal of Asian Natural Products Research. 13(11). 993–1002. 22 indexed citations
19.
Wang, Xiaoshan. (2005). Physiological and Biochemical Changes in russian Wildryegrass Seed During Seed Deterioration. Acta Agrestia Sinica. 1 indexed citations
20.
Wang, Xiaoshan. (2004). Effects of returning cultivated land to herbage on soil organic matter and nitrogen in the agro-pastoral transitional zone of north China. Acta Pratacultural Science. 2 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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