Zhenru Guo

460 total citations
18 papers, 238 citations indexed

About

Zhenru Guo is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Zhenru Guo has authored 18 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Zhenru Guo's work include Wheat and Barley Genetics and Pathology (6 papers), Plant-Microbe Interactions and Immunity (5 papers) and Mycotoxins in Agriculture and Food (4 papers). Zhenru Guo is often cited by papers focused on Wheat and Barley Genetics and Pathology (6 papers), Plant-Microbe Interactions and Immunity (5 papers) and Mycotoxins in Agriculture and Food (4 papers). Zhenru Guo collaborates with scholars based in China, Canada and United Kingdom. Zhenru Guo's co-authors include Qiantao Jiang, Yuming Wei, Qing Chen, Pengfei Qi, Yunfeng Jiang, Binjie Xu, Xiujin Lan, Yazhou Zhang, Youliang Zheng and Li Kong and has published in prestigious journals such as Scientific Reports, New Phytologist and International Journal of Molecular Sciences.

In The Last Decade

Zhenru Guo

17 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenru Guo China 9 183 64 57 44 22 18 238
Md Azizul Haque South Korea 7 69 0.4× 38 0.6× 19 0.3× 66 1.5× 22 1.0× 53 220
Brian Gilbert Australia 6 329 1.8× 104 1.6× 54 0.9× 29 0.7× 15 0.7× 6 356
Daeseok Choi South Korea 8 464 2.5× 222 3.5× 32 0.6× 33 0.8× 26 1.2× 10 530
Vanessa E. McMillan United Kingdom 9 214 1.2× 69 1.1× 85 1.5× 15 0.3× 17 0.8× 14 286
Lisa M. Stutius United States 5 336 1.8× 122 1.9× 24 0.4× 46 1.0× 5 0.2× 7 465
Suoping Li China 10 214 1.2× 82 1.3× 20 0.4× 41 0.9× 25 1.1× 31 282
Nicolas W. G. Chen France 12 568 3.1× 119 1.9× 47 0.8× 19 0.4× 16 0.7× 22 610
Xueliang Lyu China 10 349 1.9× 219 3.4× 117 2.1× 17 0.4× 25 1.1× 17 492
Xiaohong He China 8 271 1.5× 181 2.8× 23 0.4× 28 0.6× 6 0.3× 22 335
M. Dal Prà Italy 7 311 1.7× 149 2.3× 99 1.7× 80 1.8× 9 0.4× 14 370

Countries citing papers authored by Zhenru Guo

Since Specialization
Citations

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

Fields of papers citing papers by Zhenru Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenru Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenru Guo. A scholar is included among the top collaborators of Zhenru 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 Zhenru Guo. Zhenru Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Li, Xiao, Xiaohao Jia, Zhengwei Yu, et al.. (2025). Fibrous nanosilica spheres modified by TEPA as highly efficient adsorbents for CO2 capture from air and flue gas. Separation and Purification Technology. 373. 133606–133606. 1 indexed citations
2.
Chen, Hong, Zhenru Guo, Yunhao Li, et al.. (2025). A systematic analysis of the network of lncRNAs and mRNAs regulated by TP53 and TP53 mutants with hotspot mutations. Scientific Reports. 15(1). 27223–27223.
3.
Qi, Jingjing, Hehe Liu, Zhengkui Zhou, et al.. (2024). Genome-wide association study identifies multiple loci influencing duck serum biochemical indicators in the laying period. British Poultry Science. 65(1). 8–18. 3 indexed citations
4.
Guo, Zhenru, Qing Chen, Jing Zhu, et al.. (2022). The Qc5 Allele Increases Wheat Bread-Making Quality by Regulating SPA and SPR. International Journal of Molecular Sciences. 23(14). 7581–7581. 3 indexed citations
5.
Wang, Yan, Zhenru Guo, Yang Li, et al.. (2022). Effect of high-molecular-weight glutenin subunit Dy10 on wheat dough properties and end-use quality. Journal of Integrative Agriculture. 22(6). 1609–1617. 5 indexed citations
6.
Chen, Qing, Zhenru Guo, Xiaoli Shi, et al.. (2022). Increasing the Grain Yield and Grain Protein Content of Common Wheat (Triticum aestivum) by Introducing Missense Mutations in the Q Gene. International Journal of Molecular Sciences. 23(18). 10772–10772. 6 indexed citations
7.
Chen, Qing, Lei Lu, Caihong Liu, et al.. (2021). Major Facilitator Superfamily Transporter Gene FgMFS1 Is Essential for Fusarium graminearum to Deal with Salicylic Acid Stress and for Its Pathogenicity towards Wheat. International Journal of Molecular Sciences. 22(16). 8497–8497. 11 indexed citations
8.
Jiang, Yunfeng, Qing Chen, Yan Wang, et al.. (2019). Re‐acquisition of the brittle rachis trait via a transposon insertion in domestication gene Q during wheat de‐domestication. New Phytologist. 224(2). 961–973. 31 indexed citations
9.
Qi, Pengfei, Yunfeng Jiang, Zhenru Guo, et al.. (2019). Transcriptional reference map of hormone responses in wheat spikes. BMC Genomics. 20(1). 390–390. 27 indexed citations
10.
Xu, Yaxi, Hongyan Liu, Wenlei Fan, et al.. (2019). Genome‐wide association studies reveal genetic loci associated with plasma cholinesterase activity in ducks. Animal Genetics. 50(3). 287–292. 3 indexed citations
11.
Qi, Pengfei, Yazhou Zhang, Caihong Liu, et al.. (2019). Functional Analysis of FgNahG Clarifies the Contribution of Salicylic Acid to Wheat (Triticum aestivum) Resistance against Fusarium Head Blight. Toxins. 11(2). 59–59. 36 indexed citations
12.
Xu, Binjie, Qing Chen, Ting Zheng, et al.. (2018). An Overexpressed Q Allele Leads to Increased Spike Density and Improved Processing Quality in Common Wheat ( Triticum aestivum ). G3 Genes Genomes Genetics. 8(3). 771–778. 27 indexed citations
13.
Qi, Pengfei, Yazhou Zhang, Caihong Liu, et al.. (2018). Fusarium graminearum ATP-Binding Cassette Transporter Gene FgABCC9 Is Required for Its Transportation of Salicylic Acid, Fungicide Resistance, Mycelial Growth and Pathogenicity towards Wheat. International Journal of Molecular Sciences. 19(8). 2351–2351. 33 indexed citations
14.
Zhang, Yazhou, Caihong Liu, Qing Chen, et al.. (2017). Linoleic acid isomerase gene FgLAI12 affects sensitivity to salicylic acid, mycelial growth and virulence of Fusarium graminearum. Scientific Reports. 7(1). 46129–46129. 13 indexed citations
15.
Wang, Yan, Qingyun Zheng, Zhenru Guo, et al.. (2016). A missense mutation affects the mobility of high molecular weight glutenin Dy10 subunit in SDS-PAGE. 2. 1–4. 4 indexed citations
16.
Hu, Yingying, et al.. (2014). Factors analysis in protoplast isolation and regeneration from a chalkbrood fungus, Ascosphaera apis.. International Journal of Agriculture and Biology. 16(1). 89–96. 11 indexed citations
17.
Zhao, Pingping, Jing Shang, Zhenru Guo, et al.. (2013). Temperature-related effects of treatments with jasmonic and salicylic acids on Arabidopsis infected with cucumber mosaic virus. Russian Journal of Plant Physiology. 60(5). 672–680. 4 indexed citations
18.
Guo, Zhenru. (2002). Oligonucleotide Arrays for High-Throughput SNPs Detection in the MHC Class I Genes: HLA-B as a Model System. Genome Research. 12(3). 447–457. 20 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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