Sanhong Wang

632 total citations
33 papers, 492 citations indexed

About

Sanhong Wang is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Sanhong Wang has authored 33 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 19 papers in Molecular Biology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Sanhong Wang's work include Plant-Microbe Interactions and Immunity (11 papers), Plant Reproductive Biology (9 papers) and Plant Gene Expression Analysis (8 papers). Sanhong Wang is often cited by papers focused on Plant-Microbe Interactions and Immunity (11 papers), Plant Reproductive Biology (9 papers) and Plant Gene Expression Analysis (8 papers). Sanhong Wang collaborates with scholars based in China, Japan and United States. Sanhong Wang's co-authors include Shenchun Qu, Binhua Cai, Longming Zhu, Xinyi Yu, Hidenori Sassa, Han Xing, Shuai Liu, Takato Koba, Hui Dong and Shinji Kikuchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Sanhong Wang

28 papers receiving 486 citations

Peers

Sanhong Wang

EEBS

Wan‐Chieh Chen Taiwan

Rozemarijn Dreesen Belgium

D. Gelvonauskienė Lithuania

Kaixue Tang China

Lu Bao China

Pascale Maillot France

Eryong Chen China

Giulia Pagliarani Italy

Ph Reignault France

G. Stanienė Lithuania

Wan‐Chieh Chen Taiwan

Sanhong Wang

491 ×1.1

430 ×1.4

100 ×0.9

EEBS

20 ×0.4

13 ×0.9

Citations per year, relative to Sanhong Wang Sanhong Wang (= 1×) peers Wan‐Chieh Chen

Countries citing papers authored by Sanhong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Sanhong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanhong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sanhong Wang. A scholar is included among the top collaborators of Sanhong 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 Sanhong Wang. Sanhong Wang 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, Yiting, et al.. (2025). miR827 increases susceptibility to Alternaria alternata by shearing the mRNAs of low‐affinity phosphate transporters PHT5‐2 and PHT5‐3 in apple. The Plant Journal. 122(3). e70222–e70222.

Zhu, Jialing, et al.. (2025). Epigenetic Silencing of MsMYB1R1 Drives Anthocyanin Reduction in Developing Red-Fleshed Apple. Journal of Agricultural and Food Chemistry. 73(25). 15550–15560.

Zhao, Lin, et al.. (2025). The influence of environmental factors on anthocyanin biosynthesis in fruits. Plant Science. 363. 112866–112866.

Zhang, Lulu, Weihong Fu, Chao Wu, et al.. (2025). A novel mode of WRKY1 regulating PR1-mediated immune balance to defend against powdery mildew in apple. PubMed. 5(1). 17–17.

Fu, Weihong, et al.. (2024). Whole-genome resequencing identifies candidate genes and allelic variation in the MdNADP-ME promoter that regulate fruit malate and fructose contents in apple. Plant Communications. 5(9). 100973–100973. 8 indexed citations

Wu, Chao, et al.. (2024). Molecular Mechanism of Resistance to Alternaria alternata Apple Pathotype in Apple by Alternative Splicing of Transcription Factor MdMYB6-like. International Journal of Molecular Sciences. 25(8). 4353–4353. 4 indexed citations

Zhang, Lulu, et al.. (2024). WRKY1‐Mediated Interconversion of MeSA and SA in Neighbouring Apple Plants Enhances Defence Against Powdery Mildew. Plant Cell & Environment. 48(5). 3105–3117. 3 indexed citations

Fu, Weihong, et al.. (2023). Difference in calcium accumulation in the fruit of two apple varieties and its relationship with vascular bundle development in the pedicel. Plant Physiology and Biochemistry. 201. 107833–107833. 4 indexed citations

Yu, Xinyi, et al.. (2022). MicroRNA candidate miRcand137 in apple is induced by Botryosphaeria dothidea for impairing host defense. PLANT PHYSIOLOGY. 189(3). 1814–1832. 17 indexed citations

10.

Dong, Hui, et al.. (2020). Overexpression of MdCPK1a gene, a calcium dependent protein kinase in apple, increase tobacco cold tolerance via scavenging ROS accumulation. PLoS ONE. 15(11). e0242139–e0242139. 58 indexed citations

11.

Li, Tianyu, et al.. (2018). Appropriate content of leaf mineral element in 'Fuji' appleorchards of Fengxian, Jiangsu Province.. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 40(1). 56–65. 2 indexed citations

12.

Zhu, Longming, et al.. (2017). Comparative iTRAQ proteomic profiling of susceptible and resistant apple cultivars infected by Alternaria alternata apple pathotype. Tree Genetics & Genomes. 13(1). 13 indexed citations

13.

Zhu, Longming, et al.. (2017). Identification and expression analysis of WRKY transcription factor genes in response to fungal pathogen and hormone treatments in apple (Malus domestica). Journal of Plant Biology. 60(2). 215–230. 28 indexed citations

14.

Zhu, Longming, et al.. (2017). Transcriptomics Analysis of Apple Leaves in Response to Alternaria alternata Apple Pathotype Infection. Frontiers in Plant Science. 8. 22–22. 78 indexed citations

15.

Yu, Xinyi, et al.. (2017). Malus hupehensis miR168 Targets to ARGONAUTE1 and Contributes to the Resistance against Botryosphaeria dothidea Infection by Altering Defense Responses. Plant and Cell Physiology. 58(9). 1541–1557. 35 indexed citations

16.

Wang, Sanhong, et al.. (2016). Characterization and Comparison of the CPK Gene Family in the Apple (Malus × domestica) and Other Rosaceae Species and Its Response to Alternaria alternata Infection. PLoS ONE. 11(5). e0155590–e0155590. 10 indexed citations

17.

Wang, Sanhong, Hiroyuki Kakui, Shinji Kikuchi, Takato Koba, & Hidenori Sassa. (2012). Interhaplotypic heterogeneity and heterochromatic features may contribute to recombination suppression at the S locus in apple (Malus×domestica). Journal of Experimental Botany. 63(13). 4983–4990. 12 indexed citations

18.

Minamikawa, Mai F., Hiroyuki Kakui, Sanhong Wang, et al.. (2010). Apple S locus region represents a large cluster of related, polymorphic and pollen-specific F-box genes. Plant Molecular Biology. 74(1-2). 143–154. 65 indexed citations

19.

Fang, Jinggui, et al.. (2001). The possibility of using RAPD marker for the identification of fruit sport.. Guoshu xuebao. 18(3). 182–185. 2 indexed citations

20.

Fang, Jinggui, Zhen Zhang, Zhengqiang Ma, et al.. (2000). The polymorphism and segregation patterns of AFLP markers in the F1 progenies from the cross of two mango cultivars.. Zhongguo nongye Kexue. 33(3). 19–24. 5 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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