Shuping Xing

1.9k total citations
30 papers, 1.5k citations indexed

About

Shuping Xing is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Shuping Xing has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Plant Science and 4 papers in Insect Science. Recurrent topics in Shuping Xing's work include Plant Reproductive Biology (12 papers), Plant Molecular Biology Research (11 papers) and Photosynthetic Processes and Mechanisms (6 papers). Shuping Xing is often cited by papers focused on Plant Reproductive Biology (12 papers), Plant Molecular Biology Research (11 papers) and Photosynthetic Processes and Mechanisms (6 papers). Shuping Xing collaborates with scholars based in Germany, China and United States. Shuping Xing's co-authors include Sabine Zachgo, Peter Huijser, María Salinas, Susanne Höhmann, Christopher Grefen, Niklas Wallmeroth, Kenneth Wayne Berendzen, Mario G. Rosso, Antoni Garcia‐Molina and Rainer P. Birkenbihl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Plant Cell.

In The Last Decade

Shuping Xing

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuping Xing Germany 16 1.2k 1.1k 85 75 63 30 1.5k
Jianbin Su China 19 1.1k 0.9× 1.8k 1.7× 106 1.2× 75 1.0× 26 0.4× 30 2.2k
Young Jun Jung South Korea 17 914 0.8× 449 0.4× 119 1.4× 104 1.4× 13 0.2× 46 1.2k
Ho Byoung Chae South Korea 17 845 0.7× 542 0.5× 138 1.6× 85 1.1× 12 0.2× 35 1.1k
Naganand Rayapuram Saudi Arabia 19 893 0.8× 717 0.7× 129 1.5× 49 0.7× 21 0.3× 39 1.3k
Katia Schütze Germany 10 1.8k 1.5× 2.0k 1.9× 99 1.2× 58 0.8× 18 0.3× 11 2.5k
Santiago Mora‐García Argentina 17 1.8k 1.6× 2.4k 2.3× 60 0.7× 34 0.5× 49 0.8× 27 2.7k
Géraldine Bonnard France 24 1.5k 1.3× 436 0.4× 211 2.5× 20 0.3× 63 1.0× 32 1.7k
Lisa Giacomelli Italy 15 1.2k 1.0× 691 0.6× 62 0.7× 41 0.5× 40 0.6× 21 1.5k
Jelle Van Leene Belgium 26 1.8k 1.5× 1.9k 1.7× 305 3.6× 138 1.8× 74 1.2× 43 2.6k
Natalie M. Clark United States 19 726 0.6× 801 0.7× 38 0.4× 57 0.8× 30 0.5× 34 1.2k

Countries citing papers authored by Shuping Xing

Since Specialization
Citations

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

Fields of papers citing papers by Shuping Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuping Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Shuping Xing. A scholar is included among the top collaborators of Shuping Xing 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 Shuping Xing. Shuping Xing 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.
Li, Tingting, Ping Tian, Xinxin Wang, Mengyao Li, & Shuping Xing. (2025). Overexpression of TCP5 or Its Dominant Repressor Form, TCP5-SRDX, Causes Male Infertility in Arabidopsis. International Journal of Molecular Sciences. 26(5). 1813–1813. 1 indexed citations
2.
Yang, Jing, Yuying Zhang, Jin Zhao, et al.. (2023). Target gene selection for RNAi‐based biopesticides against the hawthorn spider mite, Amphitetranychus viennensis (Acari: Tetranychidae). Pest Management Science. 79(7). 2482–2492. 13 indexed citations
3.
Li, Tingting, Mian Zhang, Mengyao Li, Xinxin Wang, & Shuping Xing. (2023). Molecular Characterization and Expression Analysis of YABBY Genes in Chenopodium quinoa. Genes. 14(11). 2103–2103. 2 indexed citations
4.
Wang, Junxiu, et al.. (2022). TDRD5 Is Required for Spermatogenesis and Oogenesis in Locusta migratoria. Insects. 13(3). 227–227. 4 indexed citations
5.
Wang, Junxiu, Enbo Ma, Jianzhen Zhang, & Shuping Xing. (2022). DEAD-Box RNA Helicase DDX47 Maintains Midgut Homeostasis in Locusta migratoria. International Journal of Molecular Sciences. 23(2). 586–586. 5 indexed citations
6.
Wang, Junxiu, et al.. (2019). Molecular characterization and RNA interference analysis of the DEAD-box gene family in Locusta migratoria. Gene. 728. 144297–144297. 11 indexed citations
7.
Cui, Hongwei, et al.. (2017). Genome-Wide Identification and Analysis of bZIP Family and their Expression in Response to Multiple Abiotic Stresses in Malus domestica. Journal of Computer Science & Systems Biology. 10(3). 1 indexed citations
8.
Xing, Shuping, Niklas Wallmeroth, Kenneth Wayne Berendzen, & Christopher Grefen. (2016). Techniques for the analysis of protein-protein interactions in vivo. PLANT PHYSIOLOGY. 171(2). pp.00470.2016–pp.00470.2016. 188 indexed citations
9.
Garcia‐Molina, Antoni, Shuping Xing, & Peter Huijser. (2014). TheArabidopsisKIN17 and its homolog KLP mediate different aspects of plant growth and development. Plant Signaling & Behavior. 9(5). e28634–e28634. 1 indexed citations
10.
Xing, Shuping, et al.. (2013). SPL8 Acts Together with the Brassinosteroid-Signaling Component BIM1 in Controlling Arabidopsis thaliana Male Fertility. SHILAP Revista de lepidopterología. 2(3). 416–428. 28 indexed citations
11.
Xing, Shuping, et al.. (2013). SPL8 and miR156‐targeted SPL genes redundantly regulate Arabidopsis gynoecium differential patterning. The Plant Journal. 75(4). 566–577. 112 indexed citations
12.
13.
Xing, Shuping, María Salinas, & Peter Huijser. (2011). New players unveiled in early anther development. Plant Signaling & Behavior. 6(7). 934–938. 17 indexed citations
14.
Wang, Zhen, Shuping Xing, Rainer P. Birkenbihl, & Sabine Zachgo. (2009). Conserved Functions of Arabidopsis and Rice CC-Type Glutaredoxins in Flower Development and Pathogen Response. Molecular Plant. 2(2). 323–335. 78 indexed citations
15.
16.
Xing, Shuping & Sabine Zachgo. (2007). ROXY1 and ROXY2, two Arabidopsis glutaredoxin genes, are required for anther development. The Plant Journal. 53(5). 790–801. 166 indexed citations
17.
Xing, Shuping & Sabine Zachgo. (2007). Pollen Lethality: A Phenomenon in Arabidopsis RNA Interference Plants. PLANT PHYSIOLOGY. 145(2). 330–333. 19 indexed citations
18.
Xing, Shuping, Antonella Lauri, & Sabine Zachgo. (2006). Redox Regulation and Flower Development: A Novel Function for Glutaredoxins. Plant Biology. 8(5). 547–555. 48 indexed citations
19.
Xing, Shuping, Mario G. Rosso, & Sabine Zachgo. (2005). ROXY1 , a member of the plant glutaredoxin family, is required for petal development in Arabidopsis thaliana. Development. 132(7). 1555–1565. 147 indexed citations
20.
Lauri, Andrea, Shuping Xing, Iris Heidmann, Heinz Saedler, & Sabine Zachgo. (2005). The pollen-specific DEFH125 promoter from Antirrhinum is bound in vivo by the MADS-box proteins DEFICIENS and GLOBOSA. Planta. 224(1). 61–71. 13 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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