Qingyun Guo

666 total citations
36 papers, 481 citations indexed

About

Qingyun Guo is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Qingyun Guo has authored 36 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 14 papers in Molecular Biology and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Qingyun Guo's work include Genomics and Phylogenetic Studies (8 papers), Plant Disease Resistance and Genetics (8 papers) and Wheat and Barley Genetics and Pathology (7 papers). Qingyun Guo is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Plant Disease Resistance and Genetics (8 papers) and Wheat and Barley Genetics and Pathology (7 papers). Qingyun Guo collaborates with scholars based in China, United States and South Africa. Qingyun Guo's co-authors include Lili Huang, Zhida Qian, Dingding Yan, Li Li, Yanan Tian, Yu Zhang, Hao Lu, Xiaohua Dai, Yanli Zhu and Baoyu Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Microbiology and Biotechnology and Frontiers in Plant Science.

In The Last Decade

Qingyun Guo

36 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingyun Guo China 11 234 170 87 63 61 36 481
Xiaofeng Xu China 10 154 0.7× 81 0.5× 36 0.4× 45 0.7× 35 0.6× 29 348
Sebastián Martínez Uruguay 12 279 1.2× 181 1.1× 32 0.4× 19 0.3× 35 0.6× 41 624
David Roquis France 16 303 1.3× 327 1.9× 27 0.3× 29 0.5× 16 0.3× 24 689
Rakesh Kumar Seth India 14 328 1.4× 219 1.3× 17 0.2× 367 5.8× 77 1.3× 60 708
Federica Turri Italy 13 153 0.7× 64 0.4× 68 0.8× 22 0.3× 35 0.6× 28 517
Donna M. Bond New Zealand 11 600 2.6× 970 5.7× 29 0.3× 29 0.5× 25 0.4× 21 1.3k
Brigitte T. Hofmeister United States 10 463 2.0× 535 3.1× 16 0.2× 28 0.4× 27 0.4× 10 761
Nicholas P. Devitt United States 8 369 1.6× 243 1.4× 86 1.0× 35 0.6× 19 0.3× 11 544
Simon K. G. Forsberg Sweden 11 265 1.1× 219 1.3× 14 0.2× 57 0.9× 38 0.6× 16 613
Nathalie Rodde France 11 188 0.8× 532 3.1× 16 0.2× 10 0.2× 46 0.8× 21 726

Countries citing papers authored by Qingyun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Qingyun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyun Guo. A scholar is included among the top collaborators of Qingyun Guo 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 Qingyun Guo. Qingyun Guo 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.
He, Ting, Ghulam Muhae‐Ud‐Din, Qingyun Guo, et al.. (2022). Transcriptomics Analysis of Wheat Tassel Response to Tilletia laevis Kühn, Which Causes Common Bunt of Wheat. Frontiers in Plant Science. 13. 823907–823907. 4 indexed citations
2.
Guo, Qingyun, et al.. (2021). The complete mitochondrial genome of Downesia tarsata (Coleoptera: Chrysomelidae: Cassidinae). SHILAP Revista de lepidopterología. 6(3). 1073–1074. 2 indexed citations
3.
4.
Cao, Lili, et al.. (2021). Mifepristone regulates macrophage-mediated natural killer cells function in decidua. Reproductive Biology. 21(3). 100541–100541. 3 indexed citations
5.
Zhu, Haixia, et al.. (2021). Expression stability of internal reference gene in response to Trichoderma polysporum infection in Avena fatua L.. Current Genetics. 67(6). 909–918. 7 indexed citations
6.
Ma, Dongfang, et al.. (2020). Molecular mapping of stripe rust resistance gene YrH921 in a wheat introgression line H921‐11‐1. Journal of Phytopathology. 168(11-12). 652–658. 1 indexed citations
7.
Zhu, Haixia, et al.. (2020). Biological weed control using Trichoderma polysporum strain HZ-31. Crop Protection. 134. 105161–105161. 22 indexed citations
8.
Guo, Qingyun, et al.. (2019). Complete mitochondrial genome of a leaf-mining beetle, Argopistes tsekooni (Coleoptera: Chrysomelidae). SHILAP Revista de lepidopterología. 4(1). 418–419. 2 indexed citations
9.
Guo, Qingyun, et al.. (2019). Complete Mitogenome of a Leaf-Mining Buprestid Beetle, Trachys auricollis, and Its Phylogenetic Implications. Genes. 10(12). 992–992. 8 indexed citations
10.
Guo, Qingyun, et al.. (2018). Mitochondrial genome of a leaf-mining beetle Prionispa champaka Maulik (Coleoptera: Chrysomelidae: Cassidinae). Mitochondrial DNA Part B. 3(1). 147–148. 4 indexed citations
11.
Guo, Qingyun, et al.. (2018). Complete mitochondrial genome of a leaf beetle, Callispa bowringi (Coleoptera: Chrysomelidae). Mitochondrial DNA Part B. 3(1). 213–214. 4 indexed citations
12.
Dai, Xiaohua, et al.. (2018). Are dominant plant species more susceptible to leaf‐mining insects? A case study at Saihanwula Nature Reserve, China. Ecology and Evolution. 8(15). 7633–7648. 17 indexed citations
13.
Dai, Xiaohua, et al.. (2018). Density effect and intraspecific competition in a leaf-mining moth on bamboo leaves. Journal of Forestry Research. 30(2). 689–697. 3 indexed citations
14.
Guo, Qingyun, et al.. (2018). Complete mitochondrial genome of a leaf-mining beetle, Podagricomela nigricollis (Coleoptera: Chrysomelidae). Mitochondrial DNA Part B. 3(2). 721–722. 1 indexed citations
15.
Guo, Qingyun, et al.. (2017). Complete mitochondrial genome of a leaf-mining beetle, Agonita chinensis Weise (Coleoptera: Chrysomelidae). Mitochondrial DNA Part B. 2(2). 532–533. 9 indexed citations
16.
Dai, Xiaohua, et al.. (2017). Global pattern of plant utilization across different organisms: Does plant apparency or plant phylogeny matter?. Ecology and Evolution. 7(8). 2535–2545. 17 indexed citations
17.
Guo, Qingyun, Zhida Qian, Dingding Yan, Li Li, & Lili Huang. (2016). LncRNA-MEG3 inhibits cell proliferation of endometrial carcinoma by repressing Notch signaling. Biomedicine & Pharmacotherapy. 82. 589–594. 84 indexed citations
18.
Qian, Zhida, Qingyun Guo, & Lili Huang. (2014). Identifying risk factors for recurrent cesarean scar pregnancy: a case-control study. Fertility and Sterility. 102(1). 129–134.e1. 34 indexed citations
19.
Chen, Xiuying, Qingyun Guo, Wen Wang, & Lili Huang. (2014). Three‐dimensional ultrasonography versus two‐dimensional ultrasonography for the diagnosis of intrauterine device malposition. International Journal of Gynecology & Obstetrics. 128(2). 157–159. 11 indexed citations
20.
Zhao, Li, et al.. (2010). Expression of growth differentiation factor 9 (GDF9) and its receptor in adult cat testis. Acta Histochemica. 113(8). 771–776. 16 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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