Shuxing Shen

1.6k total citations
82 papers, 950 citations indexed

About

Shuxing Shen is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Shuxing Shen has authored 82 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Plant Science, 49 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Shuxing Shen's work include Plant Disease Resistance and Genetics (18 papers), Plant Molecular Biology Research (18 papers) and Plant tissue culture and regeneration (15 papers). Shuxing Shen is often cited by papers focused on Plant Disease Resistance and Genetics (18 papers), Plant Molecular Biology Research (18 papers) and Plant tissue culture and regeneration (15 papers). Shuxing Shen collaborates with scholars based in China, Netherlands and United States. Shuxing Shen's co-authors include Xueping Chen, Aixia Gu, Shuxin Xuan, Jianjun Zhao, Jianjun Zhao, W. F. Mader, Shuangxia Luo, Muhammad Awais Farooq, Guusje Bonnema and Jianjun Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Food Chemistry.

In The Last Decade

Shuxing Shen

78 papers receiving 930 citations

Peers

Shuxing Shen

GENET

BIOCH

Fabien Mounet France

David Riewe Germany

Dongfeng Liu China

Xiude Chen China

Hongyan Qi China

Mingjia Tang China

Katrien Maleux Belgium

Saeed Rauf Pakistan

Mitsuhiro Matsuo Japan

Shujia Li China

Fabien Mounet France

Shuxing Shen

805 ×1.0

591 ×1.2

40 ×0.5

GENET

59 ×1.3

BIOCH

25 ×0.6

Citations per year, relative to Shuxing Shen Shuxing Shen (= 1×) peers Fabien Mounet

Countries citing papers authored by Shuxing Shen

Since Specialization

Citations

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

Fields of papers citing papers by Shuxing Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxing Shen

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

Zhang, Dongfang, Shuangxia Luo, Jun Zhang, et al.. (2025). Multispectral and Chlorophyll Fluorescence Imaging Fusion Using 2D-CNN and Transfer Learning for Cross-Cultivar Early Detection of Verticillium Wilt in Eggplants. Agronomy. 15(8). 1799–1799.

Gu, Aixia, Xiaomin Li, Zengfeng Wang, et al.. (2025). An efficient allotriploid‐mediated system of generating genomic introgression from Brassica oleracea to B. rapa. Plant Biotechnology Journal. 23(4). 1073–1075. 1 indexed citations

Zhang, Dongfang, Jun Zhang, Liying Wang, et al.. (2025). Early Detection of Chinese Cabbage Clubroot Based on Integrated Leaf Multispectral Imaging and Machine Learning. Horticulturae. 11(11). 1335–1335.

Zhang, Shao‐Liang, Xin Duan, Xiaoxue Yuan, et al.. (2024). Multispectral detection of dietary fiber content in Chinese cabbage leaves across different growth periods. Food Chemistry. 447. 138895–138895. 7 indexed citations

Zhang, Ziming, Shuangxia Luo, Yanhua Wang, et al.. (2023). Transcriptome analysis of two pepper genotypes infected with pepper mild mottle virus. Frontiers in Genetics. 14. 1164730–1164730. 6 indexed citations

Du, Wenchao, Yang Lü, Shuangxia Luo, et al.. (2022). Genome-Wide Transcriptome Analysis Reveals That Upregulated Expression of Aux/IAA Genes Is Associated with Defective Leaf Growth of the slf Mutant in Eggplant. Agronomy. 12(11). 2647–2647. 4 indexed citations

Gao, Ying, Na Li, Xiaoguang Li, et al.. (2022). Genome-wide development and utilization of Simple Sequence Repeats in Chinese cabbage (<i>Brassica rapa</i> L. ssp. <i>pekinensis</i>). SHILAP Revista de lepidopterología. 2(1). 1–7. 5 indexed citations

Liu, Yajing, Xuan Wang, Shuangxia Luo, et al.. (2022). Metabolomic and transcriptomic analyses identify quinic acid protecting eggplant from damage caused by western flower thrips. Pest Management Science. 78(12). 5113–5123. 10 indexed citations

Lü, Yang, Shuangxia Luo, Qiang Li, et al.. (2021). Phenotypic Characterization and Differential Gene Expression Analysis Reveal That Dwarf Mutant dwf Dwarfism Is Associated with Gibberellin in Eggplant. Horticulturae. 7(5). 114–114. 5 indexed citations

10.

Lou, Ping, Scott Woody, Kathleen Greenham, et al.. (2020). Genetic and genomic resources to study natural variation in Brassica rapa. Plant Direct. 4(12). e00285–e00285. 13 indexed citations

11.

Zhang, Yakun, et al.. (2015). Generation and Phenotype of Chinese Cabbage–Cabbage Disomic Alien Addition Lines 4. Acta Horticulturae Sinica. 42(8). 1576. 2 indexed citations

12.

Luo, Shuangxia, et al.. (2014). Development of SSR markers linked to glucosinolate synthesis genes in Chinese cabbage (Brassica rapa ssp. pekinensis).. Journal of Pharmaceutical and Biomedical Sciences. 22(10). 1232–1241. 1 indexed citations

13.

Wang, Yanhua, et al.. (2010). Generation and Identification of 5~# Chinese Cabbage-Cabbage Disomic Alien Addition Lines. Zhongguo nongye Kexue. 43(14). 2937–2943. 1 indexed citations

14.

Gu, Aixia, et al.. (2009). Obtaining and studies of Chinese cabbage monosomic alien addition line with chromosome 3 of cabbage. 36(1). 39–44. 3 indexed citations

15.

Shen, Shuxing. (2008). Production and SSR Identification and GISH Analysis of Interspecific Hybrids between Diploid Chinese Cabbage and Tetraploid Cabbage. Zhiwu yichuan ziyuan xuebao. 1 indexed citations

16.

Shen, Shuxing. (2008). Karyotype analysis and comparison of Brassica vegetables. Hebei Nongye Daxue xuebao. 1 indexed citations

17.

Lou, Ping, Jianjun Zhao, Jung Sun Kim, et al.. (2007). Quantitative trait loci for flowering time and morphological traits in multiple populations of Brassica rapa. Journal of Experimental Botany. 58(14). 4005–4016. 121 indexed citations

18.

Shen, Shuxing. (2007). Cloning and Characterization of A Full-length cDNA of WRKY Transcription Factor Gene in Brassica campestris ssp.chinensis. Journal of Pharmaceutical and Biomedical Sciences. 1 indexed citations

19.

Gu, Aixia, et al.. (2006). Allotriploid Hybrids Obtained from Interspecific Hybridization between Chinese Cabbage and Cabbage and the Preliminary Research on Reproductive Characters. Acta Horticulturae Sinica. 33(1). 73. 3 indexed citations

20.

Shen, Shuxing, et al.. (2000). Cytological basis of obtaining primary trisomics from isolated microspore culture of autotetraploid Chinese cabbage (Brassica campestris L. ssp pekinensis (Lour.) Olsson).. Acta Horticulturae Sinica. 27(2). 145–147. 1 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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