Guiying Guo

488 total citations
32 papers, 372 citations indexed

About

Guiying Guo is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, Guiying Guo has authored 32 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Immunology and 5 papers in Microbiology. Recurrent topics in Guiying Guo's work include Aquaculture disease management and microbiota (10 papers), Vibrio bacteria research studies (4 papers) and Microbial infections and disease research (4 papers). Guiying Guo is often cited by papers focused on Aquaculture disease management and microbiota (10 papers), Vibrio bacteria research studies (4 papers) and Microbial infections and disease research (4 papers). Guiying Guo collaborates with scholars based in China, Pakistan and United States. Guiying Guo's co-authors include Ruihua An, Yan Cao, Jiping Zheng, Yangyang Xu, Mancheng Gong, Qiang Ding, Yan Wang, Huan Wu, Ling Bai and Cheng Jin and has published in prestigious journals such as Frontiers in Microbiology, Aquaculture and Journal of Cellular Biochemistry.

In The Last Decade

Guiying Guo

30 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guiying Guo China 11 180 116 78 36 32 32 372
Barbara M. Coffey Ireland 6 336 1.9× 81 0.7× 40 0.5× 43 1.2× 25 0.8× 6 530
Jing Fu China 10 176 1.0× 158 1.4× 30 0.4× 25 0.7× 19 0.6× 18 424
Yu Abe Japan 8 167 0.9× 38 0.3× 55 0.7× 22 0.6× 30 0.9× 33 330
Xinhua Liu China 12 157 0.9× 182 1.6× 63 0.8× 22 0.6× 23 0.7× 38 422
Pujarini Dash India 13 124 0.7× 206 1.8× 51 0.7× 94 2.6× 14 0.4× 28 450
Gretel Mendoza‐Almanza Mexico 11 188 1.0× 113 1.0× 65 0.8× 73 2.0× 10 0.3× 21 411
Sergio Arancibia Chile 9 109 0.6× 297 2.6× 29 0.4× 24 0.7× 31 1.0× 12 480
Liang Gong China 15 315 1.8× 186 1.6× 110 1.4× 67 1.9× 12 0.4× 36 540
Jinduo Yuan China 8 216 1.2× 101 0.9× 29 0.4× 22 0.6× 33 1.0× 11 371
Xiujing Hao China 8 183 1.0× 59 0.5× 107 1.4× 23 0.6× 26 0.8× 15 347

Countries citing papers authored by Guiying Guo

Since Specialization
Citations

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

Fields of papers citing papers by Guiying Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiying Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Guiying Guo. A scholar is included among the top collaborators of Guiying 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 Guiying Guo. Guiying 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.
Huang, Sheng, et al.. (2025). The quadruple gene mutant (aerA-ahh1-rtxA-th) of Aeromonas dhakensis shows reduced virulence and promising vaccine development potential. Fish & Shellfish Immunology. 168. 110952–110952. 1 indexed citations
2.
Li, Xuesong, et al.. (2024). The PhoBR two-component system upregulates virulence in Aeromonas dhakensis C4–1. Aquaculture. 595. 741665–741665. 1 indexed citations
3.
Yan, Haiyang, et al.. (2024). What factors may affect the effect of ICI-combined therapy in patients with metastatic renal cell carcinoma? A meta-analysis. Immunopharmacology and Immunotoxicology. 46(3). 302–318.
4.
Guo, Guiying, et al.. (2024). An outbreak of Providencia rettgeri bacteremia at a Ptyas mucosus farm in Hainan, China. Frontiers in Microbiology. 15. 1353603–1353603. 1 indexed citations
5.
Peng, Bo, Qingxi Zhang, Qiang Zhao, et al.. (2024). OsAAP8 mutation leads to significant improvement in the nutritional quality and appearance of rice grains. Molecular Breeding. 44(5). 34–34. 6 indexed citations
6.
Ling, Bo, et al.. (2023). High incidence of multiple intI1 genomic gene cassettes in Aeromonas strains. Aquaculture. 579. 740171–740171. 2 indexed citations
7.
Dawar, Farman Ullah, Wei Feng, Mengqi Wang, et al.. (2023). Complete genome sequence analysis of Edwardsiella tarda SC002 from hatchlings of Siamese crocodile. Frontiers in Veterinary Science. 10. 6 indexed citations
8.
Chen, Li‐Qing, Yu Wang, Nuo Yang, et al.. (2023). Response regulator KdpE contributes to Aeromonas dhakensis virulence. Aquaculture. 568. 739298–739298. 7 indexed citations
9.
Zheng, Jiping, Haiwen Zhang, Xin Wang, et al.. (2022). Natural outbreaks and molecular characteristics of Streptococcus agalactiae infection in farmed American bullfrog (Rana catesbeiana). Aquaculture. 551. 737885–737885. 17 indexed citations
10.
Guo, Guiying, Li-Juan Zhang, Biao Li, et al.. (2021). Altered spontaneous brain activity in patients with diabetic optic neuropathy: A resting-state functional magnetic resonance imaging study using regional homogeneity. World Journal of Diabetes. 12(3). 278–291. 8 indexed citations
11.
Song, Hang, et al.. (2021). LINC00265/miR-4500 Axis Accelerates Acute Lymphoblastic Leukemia Progression by Enhancing STAT3 Signals. Cancer Management and Research. Volume 13. 8147–8156. 7 indexed citations
12.
Liu, Jiannan, et al.. (2020). Oxymatrine Inhibits Renal Cell Carcinoma Progression by Suppressing β-Catenin Expression. Frontiers in Pharmacology. 11. 808–808. 8 indexed citations
13.
Guo, Guiying, et al.. (2019). The Association Between hMLH1 and hMSH2 Polymorphisms and Renal Tumors in Northeastern China. Genetic Testing and Molecular Biomarkers. 23(8). 573–579. 1 indexed citations
14.
Chen, Chao-Feng, et al.. (2019). A study on 85Kr measurement with an internal gas proportional counter. Applied Radiation and Isotopes. 155. 108948–108948. 1 indexed citations
15.
Peng, Bo, Xiaohua Song, Qinglin Wang, et al.. (2017). Detection and application of functional markers of Badh2 gene from different fragrant rice varieties in southern Henan.. Xi'nan nongye xuebao. 30(8). 1693–1699.
16.
Gong, Mancheng, Yangyang Xu, Wenjing Dong, et al.. (2013). Expression of Opa interacting protein 5 (OIP5) is associated with tumor stage and prognosis of clear cell renal cell carcinoma. Acta Histochemica. 115(8). 810–815. 23 indexed citations
17.
Guo, Guiying, Yangyang Xu, Mancheng Gong, Yan Cao, & Ruihua An. (2013). USP28 is a potential prognostic marker for bladder cancer. Tumor Biology. 35(5). 4017–4022. 29 indexed citations
18.
Xu, Yangyang, et al.. (2013). Galectin-3 inhibition sensitizes human renal cell carcinoma cells to arsenic trioxide treatment. Cancer Biology & Therapy. 14(10). 897–906. 20 indexed citations
19.
Cao, Yan, et al.. (2010). MicroRNA-dependent regulation of PTEN after arsenic trioxide treatment in bladder cancer cell line T24. Tumor Biology. 32(1). 179–188. 62 indexed citations
20.
Xu, Jing, et al.. (1998). Experiment for a polyurethane replacement of the common bile duct.. PubMed. 111(1). 86–7. 7 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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