Xiaoping Gou

3.9k total citations · 1 hit paper
70 papers, 2.9k citations indexed

About

Xiaoping Gou is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Xiaoping Gou has authored 70 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 46 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Xiaoping Gou's work include Plant Molecular Biology Research (46 papers), Plant Reproductive Biology (39 papers) and Plant nutrient uptake and metabolism (13 papers). Xiaoping Gou is often cited by papers focused on Plant Molecular Biology Research (46 papers), Plant Reproductive Biology (39 papers) and Plant nutrient uptake and metabolism (13 papers). Xiaoping Gou collaborates with scholars based in China, United States and Japan. Xiaoping Gou's co-authors include Jia Li, Kai He, Tong Yuan, Honghui Lin, Scott D. Russell, Yanwei Cui, Jing Yi, Suiwen Hou, Steven D. Clouse and Hongju Yin and has published in prestigious journals such as Nature Communications, The Plant Cell and Development.

In The Last Decade

Xiaoping Gou

65 papers receiving 2.9k citations

Hit Papers

Peptide hormones in plants 2025 2026 2025 5 10 15 20
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Peptide hormones in plants
    2025 20 citations Xiaoping Gou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Gou China 27 2.7k 1.9k 125 91 50 70 2.9k
Nanae Ueda Japan 11 1.9k 0.7× 1.3k 0.7× 95 0.8× 138 1.5× 54 1.1× 13 2.2k
Jianhong Hu United States 14 2.3k 0.8× 1.7k 0.9× 95 0.8× 58 0.6× 39 0.8× 20 2.5k
Ananda K. Sarkar India 22 2.6k 1.0× 1.9k 1.0× 79 0.6× 73 0.8× 39 0.8× 46 2.7k
Zhong Zhao China 20 2.2k 0.8× 1.8k 1.0× 81 0.6× 85 0.9× 25 0.5× 40 2.5k
Martin Kieffer United Kingdom 16 2.3k 0.8× 2.0k 1.1× 101 0.8× 93 1.0× 31 0.6× 24 2.6k
Nayelli Marsch‐Martínez Mexico 26 2.0k 0.7× 1.6k 0.9× 104 0.8× 85 0.9× 37 0.7× 58 2.3k
David Posé Spain 24 2.0k 0.7× 1.8k 0.9× 107 0.9× 98 1.1× 35 0.7× 31 2.3k
Peter P. Repetti United States 11 2.4k 0.9× 1.5k 0.8× 105 0.8× 144 1.6× 81 1.6× 11 2.6k
Raju Datla Canada 25 1.6k 0.6× 1.4k 0.7× 97 0.8× 81 0.9× 46 0.9× 54 2.0k
Regina Antoni Spain 15 3.4k 1.2× 1.5k 0.8× 64 0.5× 39 0.4× 50 1.0× 17 3.6k

Countries citing papers authored by Xiaoping Gou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Gou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Gou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Gou. A scholar is included among the top collaborators of Xiaoping Gou 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 Xiaoping Gou. Xiaoping Gou 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.
Wei, Zhuoyun, Haoyong Zhang, Fang Meng, et al.. (2023). The Dof transcription factor COG1 acts as a key regulator of plant biomass by promoting photosynthesis and starch accumulation. Molecular Plant. 16(11). 1759–1772. 24 indexed citations
3.
Ou, Yang, Yujun Wu, Meizhen Li, et al.. (2022). Essential roles of SERKs in the ROOT MERISTEM GROWTH FACTOR-mediated signaling pathway. PLANT PHYSIOLOGY. 189(1). 165–177. 22 indexed citations
4.
Liang, Tao, Jinghua Zhang, Chong Hu, et al.. (2022). The type-B response regulators ARR10, ARR12, and ARR18 specify the central cell in Arabidopsis. The Plant Cell. 34(12). 4714–4737. 13 indexed citations
5.
Li, Meizhen, Minghui Lv, Xiaojuan Wang, et al.. (2022). TheEPFL–ERf–SERKsignaling controls integument development in Arabidopsis. New Phytologist. 238(1). 186–201. 15 indexed citations
6.
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Hu, Chong, Yafen Zhu, Yanwei Cui, et al.. (2021). A CLE–BAM–CIK signalling module controls root protophloem differentiation in Arabidopsis. New Phytologist. 233(1). 282–296. 40 indexed citations
8.
Zhang, Hong, Wenping Wang, Yanwei Cui, et al.. (2021). SERKs regulate embryonic cuticle integrity through the TWS1‐GSO1/2 signaling pathway in Arabidopsis. New Phytologist. 233(1). 313–328. 18 indexed citations
9.
Zhu, Yafen, Chong Hu, Yanwei Cui, et al.. (2021). Conserved and differentiated functions of CIK receptor kinases in modulating stem cell signaling in Arabidopsis. Molecular Plant. 14(7). 1119–1134. 25 indexed citations
10.
Gou, Xiaoping & Jia Li. (2020). Paired Receptor and Coreceptor Kinases Perceive Extracellular Signals to Control Plant Development. PLANT PHYSIOLOGY. 182(4). 1667–1681. 51 indexed citations
11.
Chen, Weiyue, Minghui Lv, Yanze Wang, et al.. (2019). BES1 is activated by EMS1-TPD1-SERK1/2-mediated signaling to control tapetum development in Arabidopsis thaliana. Nature Communications. 10(1). 4164–4164. 113 indexed citations
12.
Cui, Yanwei, Chong Hu, Yafen Zhu, et al.. (2018). CIK Receptor Kinases Determine Cell Fate Specification during Early Anther Development in Arabidopsis. The Plant Cell. 30(10). 2383–2401. 79 indexed citations
13.
Hu, Chong, Yafen Zhu, Yanwei Cui, et al.. (2018). A group of receptor kinases are essential for CLAVATA signalling to maintain stem cell homeostasis. Nature Plants. 4(4). 205–211. 148 indexed citations
14.
Wei, Zhuoyun, Tong Yuan, Danuše Tarkowská, et al.. (2017). Brassinosteroid Biosynthesis Is Modulated via a Transcription Factor Cascade of COG1, PIF4, and PIF5. PLANT PHYSIOLOGY. 174(2). 1260–1273. 61 indexed citations
15.
Zhang, Jinghua, Tong Yuan, Tao Shi, et al.. (2016). Cis-Regulatory Elements Determine Germline Specificity and Expression Level of an Isopentenyltransferase Gene in Sperm Cells of Arabidopsis. PLANT PHYSIOLOGY. 170(3). 1524–1534. 8 indexed citations
16.
Gou, Xiaoping, et al.. (2013). STRESS INTENSITY FACTOR FORMULAS FOR DCDC AND SCDC SPECIMENS. Chinese Journal of Theoretical and Applied Mechanics. 45(1). 94–102. 1 indexed citations
17.
Gou, Xiaoping, et al.. (2006). A highly efficient in vitro plant regeneration system and Agrobacterium-mediated transformation in Plumbago zeylanica. Plant Cell Reports. 25(6). 513–521. 26 indexed citations
18.
Bai, Yu, et al.. (2003). Molecular Cloning and Preliminary Study of a Gene Differentially Expressed in Rice Sperm Cells. Journal of Integrative Plant Biology. 45(3). 346–351.
19.
Gou, Xiaoping, et al.. (2001). Representative cDNA Library from Isolated Rice Sperm Cells. Journal of Integrative Plant Biology. 43(10). 1093–1096. 17 indexed citations
20.
Gou, Xiaoping, Shenghua Wang, & Fang Chen. (1999). Isolation and Cytological Observation of Viable Sperm Cells of Rice. Journal of Integrative Plant Biology. 41(6). 8 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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