Haiying Xu

656 total citations
25 papers, 480 citations indexed

About

Haiying Xu is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Haiying Xu has authored 25 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 20 papers in Molecular Biology and 13 papers in Food Science. Recurrent topics in Haiying Xu's work include Horticultural and Viticultural Research (20 papers), Fermentation and Sensory Analysis (13 papers) and Plant biochemistry and biosynthesis (11 papers). Haiying Xu is often cited by papers focused on Horticultural and Viticultural Research (20 papers), Fermentation and Sensory Analysis (13 papers) and Plant biochemistry and biosynthesis (11 papers). Haiying Xu collaborates with scholars based in China, Israel and Botswana. Haiying Xu's co-authors include Lei Sun, Guojun Zhang, Huiling Wang, Baoqing Zhu, Weidong Huang, Jicheng Zhan, Huiling Wang, Witoon Purahong, Asha J. Dissanayake and Wei Zhang and has published in prestigious journals such as Food Chemistry, International Journal of Molecular Sciences and Frontiers in Plant Science.

In The Last Decade

Haiying Xu

23 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiying Xu China 11 376 225 184 119 44 25 480
Fabiola Matarese Italy 12 665 1.8× 328 1.5× 324 1.8× 174 1.5× 32 0.7× 18 762
Yinshan Guo China 13 433 1.2× 197 0.9× 151 0.8× 71 0.6× 30 0.7× 48 518
Xiuwu Guo China 13 470 1.3× 175 0.8× 143 0.8× 97 0.8× 29 0.7× 52 536
Virginia Alonso-Villaverde Spain 13 519 1.4× 106 0.5× 249 1.4× 155 1.3× 42 1.0× 29 574
Lucile Jacquens France 13 624 1.7× 182 0.8× 112 0.6× 210 1.8× 29 0.7× 18 705
Ana Pontes Portugal 10 268 0.7× 280 1.2× 284 1.5× 89 0.7× 23 0.5× 26 450
Giancarlo Scalabrelli Italy 14 518 1.4× 224 1.0× 221 1.2× 69 0.6× 36 0.8× 66 596
Carmen Berlanas Spain 10 305 0.8× 82 0.4× 116 0.6× 211 1.8× 16 0.4× 11 384
Luigi Falginella Italy 9 531 1.4× 237 1.1× 282 1.5× 117 1.0× 13 0.3× 11 583
Camille Rustenholz France 13 498 1.3× 220 1.0× 155 0.8× 75 0.6× 24 0.5× 22 549

Countries citing papers authored by Haiying Xu

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Xu. A scholar is included among the top collaborators of Haiying Xu 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 Haiying Xu. Haiying Xu 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.
2.
Zhang, Huimin, X. R. Lyu, Qi Sun, et al.. (2025). GWAS identifies a molecular marker cluster associated with monoterpenoids in grapes. Horticulture Research. 12(9). uhaf144–uhaf144.
3.
Liu, Zhenhua, et al.. (2024). Advancing grape breeding through an in vitro embryo germination technique without cold stratification. Horticultural Plant Journal. 11(4). 1483–1492. 1 indexed citations
4.
Liu, Songyu, Xiaoyue Wang, Huiling Wang, et al.. (2024). Sensory omics combined with mathematical modeling for integrated analysis of retronasal Muscat flavor in table grapes. Food Chemistry X. 21. 101198–101198. 7 indexed citations
5.
He, Lei, Lei Sun, Haiying Xu, et al.. (2023). Identification of SNP loci and candidate genes genetically controlling norisoprenoids in grape berry based on genome-wide association study. Frontiers in Plant Science. 14. 1142139–1142139. 7 indexed citations
6.
Zhang, Guojun, et al.. (2023). Effects of Trellis Systems on the Vegetative Growth and Fruit Quality of Muscat-Flavored Table Grapes. Agronomy. 13(4). 1090–1090. 1 indexed citations
7.
Wang, Huiling, et al.. (2023). Metabolomic and transcriptomic integrated analysis revealed the decrease of monoterpenes accumulation in table grapes during long time low temperature storage. Food Research International. 174(Pt 1). 113601–113601. 10 indexed citations
8.
Wang, Huiling, Xiaoyue Wang, Guojun Zhang, et al.. (2022). Identification of QTLs and candidate genes controlling berry size in table grape by integrating QTL and transcriptomic analysis. Scientia Horticulturae. 305. 111403–111403. 6 indexed citations
9.
Sun, Lei, Baoqing Zhu, Huiling Wang, et al.. (2020). The accumulation profiles of terpene metabolites in three Muscat table grape cultivars through HS-SPME-GCMS. Scientific Data. 7(1). 5–5. 26 indexed citations
10.
Wang, Huiling, et al.. (2020). Novel stable QTLs identification for berry quality traits based on high-density genetic linkage map construction in table grape. BMC Plant Biology. 20(1). 411–411. 26 indexed citations
11.
12.
Sun, Lei, Baoqing Zhu, Guojun Zhang, et al.. (2019). Transcriptome profiles of three Muscat table grape cultivars to dissect the mechanism of terpene biosynthesis. Scientific Data. 6(1). 89–89. 6 indexed citations
13.
Dissanayake, Asha J., Witoon Purahong, Tesfaye Wubet, et al.. (2018). Direct comparison of culture-dependent and culture-independent molecular approaches reveal the diversity of fungal endophytic communities in stems of grapevine (Vitis vinifera). Fungal Diversity. 90(1). 85–107. 146 indexed citations
14.
Wang, Huiling, Wei Wang, Jicheng Zhan, et al.. (2016). The accumulation and localization of chalcone synthase in grapevine (Vitis vinifera L.). Plant Physiology and Biochemistry. 106. 165–176. 18 indexed citations
15.
Sun, Lei, et al.. (2011). The study of triploid progenies crossed between different ploidy grapes. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(32). 5967–5971. 13 indexed citations
16.
Wang, Zeng, Avihai Perl, Haiying Xu, et al.. (2011). Cloning and Characterization of WOX4 Gene from Vitis vinifera L. Involved in Stem Cell Regulation. Agricultural Sciences in China. 10(12). 1861–1871. 7 indexed citations
17.
Chen, Shangwu, et al.. (2011). The Establishment of an Agrobacterium-Mediated Transformation Platform for the Non-Embryogenic Calli of Vitis vinifera L.. Agricultural Sciences in China. 10(5). 686–694. 5 indexed citations
18.
Liu, Huaifeng, Benhong Wu, Peige Fan, Haiying Xu, & Shaohua Li. (2006). Inheritance of sugars and acids in berries of grape (Vitis vinifera L.). Euphytica. 153(1-2). 99–107. 56 indexed citations
19.
Xu, Haiying, et al.. (2005). Determination of the proper sampling period for embryo rescue from crosses between diploid and tetraploid grape cultivars. Zhongguo nongye Kexue. 7 indexed citations
20.
Xu, Haiying, et al.. (2001). ‘Xiangfei ’—A New Early Ripening Grape Variety. Acta Horticulturae Sinica. 28(4). 375.

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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