Guoxin Yao

1.0k total citations
32 papers, 691 citations indexed

About

Guoxin Yao is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Guoxin Yao has authored 32 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 14 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Guoxin Yao's work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Rice Cultivation and Yield Improvement (10 papers) and Plant Molecular Biology Research (5 papers). Guoxin Yao is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (13 papers), Rice Cultivation and Yield Improvement (10 papers) and Plant Molecular Biology Research (5 papers). Guoxin Yao collaborates with scholars based in China, Australia and Japan. Guoxin Yao's co-authors include Jun Hu, Yingguo Zhu, Zhiwu Dan, Wenchao Huang, Renshan Zhu, Zichao Li, Benbo Xu, Lingli Xie, Hongliang Zhang and Jinjie Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Guoxin Yao

31 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoxin Yao China 14 532 271 252 56 53 32 691
Yubin Li China 11 432 0.8× 106 0.4× 293 1.2× 14 0.3× 34 0.6× 27 562
Zhixiong Chen China 14 381 0.7× 163 0.6× 199 0.8× 30 0.5× 21 0.4× 31 467
Mengjun Mei China 7 507 1.0× 146 0.5× 213 0.8× 12 0.2× 22 0.4× 11 616
Piwu Wang China 12 344 0.6× 91 0.3× 210 0.8× 22 0.4× 18 0.3× 39 441
Xuanjun Feng China 15 560 1.1× 70 0.3× 286 1.1× 15 0.3× 15 0.3× 31 654
Dapu Liu China 13 1.3k 2.3× 407 1.5× 512 2.0× 21 0.4× 11 0.2× 17 1.3k
Fangming Zhao China 15 927 1.7× 445 1.6× 454 1.8× 14 0.3× 45 0.8× 89 1.0k
Xiaofei Chen China 12 387 0.7× 71 0.3× 235 0.9× 11 0.2× 21 0.4× 28 460
Jae‐Hwan Roh South Korea 10 565 1.1× 108 0.4× 203 0.8× 15 0.3× 24 0.5× 36 650
Weijiang Luan China 12 508 1.0× 144 0.5× 233 0.9× 15 0.3× 31 0.6× 22 606

Countries citing papers authored by Guoxin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Guoxin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxin Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxin Yao. A scholar is included among the top collaborators of Guoxin Yao 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 Guoxin Yao. Guoxin Yao 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.
Yao, Guoxin, et al.. (2025). Unraveling gelation in ultra-high-temperature sterilized milk: compositional changes and proteomic characterization. Food Research International. 222(Pt 1). 117680–117680. 1 indexed citations
2.
Qiu, Ying, et al.. (2024). Preparation of Antimony-Doped Tin Oxide Fly Ash Antistatic Composite and Its Properties in Filling EVA. Materials. 17(5). 1183–1183. 2 indexed citations
3.
Zhou, Yong, Ke Liu, Jie Zhu, et al.. (2023). Field distribution characteristics and influencing factors of crayfish in rice-crayfish integrative system. Aquaculture. 571. 739456–739456. 4 indexed citations
4.
Wang, Caili, et al.. (2023). Study of the removal of Pb(ii) and Ni(ii) from aqueous solution by new nano-Mg(OH)2/fly ash adsorbent materials. New Journal of Chemistry. 47(23). 10952–10966. 2 indexed citations
5.
Yao, Guoxin, et al.. (2021). Chromosome-level genomes of seeded and seedless date plum based on third-generation DNA sequencing and Hi-C analysis. SHILAP Revista de lepidopterología. 1(1). 0–0. 4 indexed citations
6.
Xie, Lingli, Fan Chen, Xuekun Zhang, et al.. (2020). Graphene oxide and indole-3-acetic acid cotreatment regulates the root growth of Brassica napus L. via multiple phytohormone pathways. BMC Plant Biology. 20(1). 101–101. 44 indexed citations
7.
Xie, Lingli, Fan Chen, Xiling Zou, et al.. (2019). Graphene oxide and ABA cotreatment regulates root growth of Brassica napus L. by regulating IAA/ABA. Journal of Plant Physiology. 240. 153007–153007. 31 indexed citations
8.
Yao, Guoxin, et al.. (2019). Characterization of the complete chloroplast genome of the Pistacia vera L. SHILAP Revista de lepidopterología. 4(2). 4140–4141. 3 indexed citations
9.
Dan, Zhiwu, Yunping Chen, Jun Hu, et al.. (2018). A metabolome‐based core hybridisation strategy for the prediction of rice grain weight across environments. Plant Biotechnology Journal. 17(5). 906–913. 14 indexed citations
10.
Zhang, Zhanying, Jinjie Li, Zuoshun Tang, et al.. (2018). Gnp4/LAX2, a RAWUL protein, interferes with the OsIAA3–OsARF25 interaction to regulate grain length via the auxin signaling pathway in rice. Journal of Experimental Botany. 69(20). 4723–4737. 87 indexed citations
11.
Yu, Jianping, Haiyan Xiong, Xiaoyang Zhu, et al.. (2017). OsLG3 contributing to rice grain length and yield was mined by Ho-LAMap. BMC Biology. 15(1). 28–28. 99 indexed citations
12.
Dan, Zhiwu, Jun Hu, Wei Zhou, et al.. (2016). Metabolic prediction of important agronomic traits in hybrid rice (Oryza sativa L.). Scientific Reports. 6(1). 21732–21732. 35 indexed citations
13.
Zhang, Yan-Pei, Jinjie Li, Guoxin Yao, et al.. (2016). Fine Mapping of Two Additive Effect Genes for Awn Development in Rice (Oryza sativa L.). PLoS ONE. 11(8). e0160792–e0160792. 4 indexed citations
14.
Dan, Zhiwu, Jun Hu, Wei Zhou, et al.. (2015). Hierarchical additive effects on heterosis in rice (Oryza sativa L.). Frontiers in Plant Science. 6. 738–738. 9 indexed citations
15.
Qin, Xiaojian, Qi Huang, Linlin Zhu, et al.. (2014). Interaction with Cu2+ disrupts the RNA binding affinities of RNA recognition motif containing protein. Biochemical and Biophysical Research Communications. 444(2). 116–120. 6 indexed citations
16.
Dan, Zhiwu, Ping Liu, Wenchao Huang, et al.. (2014). Balance between a Higher Degree of Heterosis and Increased Reproductive Isolation: A Strategic Design for Breeding Inter-Subspecific Hybrid Rice. PLoS ONE. 9(3). e93122–e93122. 28 indexed citations
17.
Jinbao, Yao, et al.. (2011). Genetic analysis of plant height and its components in diallel crosses of bread wheat ('Triticum aestivum' L.). Australian Journal of Crop Science. 5(11). 1408–1418. 17 indexed citations
18.
Zhang, Qiang, Guoxin Yao, Guanglong Hu, et al.. (2011). Identification of QTLs for Grain Traits in Rice Using Extreme Materials in Grain Size. ACTA AGRONOMICA SINICA. 37(5). 784–792. 4 indexed citations
19.
Hu, Guanglong, Dongling Zhang, Ben Li, et al.. (2011). Fine mapping of the awn gene on chromosome 4 in rice by association and linkage analyses. Chinese Science Bulletin. 56(9). 835–839. 22 indexed citations
20.
Yao, Guoxin, Jinjie Li, Qiang Zhang, et al.. (2010). Mapping QTLs for Grain Weight and Shape Using Four Sister Near Isogenic Lines in Rice (<I>Oryza sativa</I> L.). ACTA AGRONOMICA SINICA. 36(8). 1310–1317. 4 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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