Shu Guan

987 total citations
25 papers, 810 citations indexed

About

Shu Guan is a scholar working on Plant Science, Physiology and Molecular Biology. According to data from OpenAlex, Shu Guan has authored 25 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Shu Guan's work include Mycotoxins in Agriculture and Food (7 papers), Pain Mechanisms and Treatments (5 papers) and Plant Disease Resistance and Genetics (5 papers). Shu Guan is often cited by papers focused on Mycotoxins in Agriculture and Food (7 papers), Pain Mechanisms and Treatments (5 papers) and Plant Disease Resistance and Genetics (5 papers). Shu Guan collaborates with scholars based in China, Canada and Singapore. Shu Guan's co-authors include Cheng Ji, Ting Zhou, Qiugang Ma, Junxia Li, Niu Tian-gui, Yun Gao, Ruilin Huang, Yulong Yin, Zheng Ruan and Wei Xiong and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Aquaculture.

In The Last Decade

Shu Guan

23 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shu Guan China	16	409	188	118	98	86	25	810
Yu Song China	18	403 1.0×	305 1.6×	133 1.1×	27 0.3×	140 1.6×	63	1.0k
Li Wu China	17	408 1.0×	231 1.2×	92 0.8×	187 1.9×	280 3.3×	35	963
Liuqing Wang China	22	590 1.4×	321 1.7×	92 0.8×	32 0.3×	197 2.3×	51	1.2k
Tomiko Asakura Japan	24	388 0.9×	679 3.6×	63 0.5×	74 0.8×	172 2.0×	84	1.6k
Estatira Sepehr United States	12	177 0.4×	184 1.0×	84 0.7×	103 1.1×	176 2.0×	22	740
Yongcheng Jin China	18	154 0.4×	242 1.3×	81 0.7×	90 0.9×	38 0.4×	54	701
A.R. Tomé Brazil	14	338 0.8×	275 1.5×	57 0.5×	23 0.2×	249 2.9×	20	895
P. D. Pearce New Zealand	13	251 0.6×	212 1.1×	93 0.8×	146 1.5×	178 2.1×	39	1.1k
Karl De Ruyck Belgium	15	502 1.2×	234 1.2×	41 0.3×	25 0.3×	127 1.5×	20	865

Countries citing papers authored by Shu Guan

Since Specialization

Citations

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

Fields of papers citing papers by Shu Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Guan

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

All Works

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20 of 20 papers shown

Syed, Basharat, et al.. (2025). Evaluating the efficacy of compound probiotics as an antibiotic alternative: A comprehensive analysis of growth performance and intestinal health via feed and water routes. Animal nutrition. 23. 535–545.

Li, An‐Ping, et al.. (2024). Dietary Supplementation of Compound Probiotics Improves Intestinal Health by Modulated Microbiota and Its SCFA Products as Alternatives to In-Feed Antibiotics. Probiotics and Antimicrobial Proteins. 17(4). 1969–1984. 9 indexed citations

Guan, Shu, et al.. (2023). Mycotoxin Occurrence in Feeds and Raw Materials in China: A Five-Year Investigation. Toxins. 15(1). 63–63. 32 indexed citations

Li, An‐Ping, et al.. (2022). Mycotoxin Contamination of Feeds and Raw Materials in China in Year 2021. Frontiers in Veterinary Science. 9. 929904–929904. 27 indexed citations

Li, An‐Ping, et al.. (2022). Mycotoxin contamination in feeds and feed materials in China in year 2020. Frontiers in Veterinary Science. 9. 1016528–1016528. 8 indexed citations

Ge, Huixiang, Shu Guan, Mengyun Sun, et al.. (2019). Dihydromyricetin affects BDNF levels in the nervous system in rats with comorbid diabetic neuropathic pain and depression. Scientific Reports. 9(1). 14619–14619. 32 indexed citations

Xiong, Wei, Mengxia Tan, Lijuan Liu, et al.. (2019). Effects of long non-coding RNA uc.48+ on pain transmission in trigeminal neuralgia. Brain Research Bulletin. 147. 92–100. 23 indexed citations

Guan, Shu, et al.. (2019). Dihydromyricetin Alleviates Diabetic Neuropathic Pain and Depression Comorbidity Symptoms by Inhibiting P2X7 Receptor. Frontiers in Psychiatry. 10. 770–770. 40 indexed citations

Yi, Yun, Qin Wu, Shu Guan, et al.. (2018). Protective Effects of Oxymatrine on Vascular Endothelial Cells from High-Glucose-Induced Cytotoxicity by Inhibiting the Expression of A2B Receptor. Cellular Physiology and Biochemistry. 45(2). 558–571. 13 indexed citations

10.

Guan, Shu, Huixiang Ge, Wei Xiong, et al.. (2018). Effects of palmatine on rats with comorbidity of diabetic neuropathic pain and depression. Brain Research Bulletin. 139. 56–66. 48 indexed citations

11.

Xiong, Wei, Mengxia Tan, Liping Huang, et al.. (2017). Inhibitory effects of tetramethylpyrazine on pain transmission of trigeminal neuralgia in CCI-ION rats. Brain Research Bulletin. 134. 72–78. 26 indexed citations

12.

Xiong, Wei, Mengxia Tan, Shu Guan, et al.. (2017). Emodin inhibits the expression of receptor and calcitonin-gene-related peptide release in trigeminal ganglia of trigeminal neuralgia rats.. PubMed. 10(11). 11317–11325. 9 indexed citations

13.

Kang, Yao, Shu Guan, Tiejun Li, et al.. (2011). Dietaryl-arginine supplementation enhances intestinal development and expression of vascular endothelial growth factor in weanling piglets. British Journal Of Nutrition. 105(5). 703–709. 88 indexed citations

14.

Guan, Shu, Min Gong, Yulong Yin, et al.. (2011). Occurrence of mycotoxins in feeds and feed ingredients in China. 9(2). 35 indexed citations

15.

Zhou, Yan, et al.. (2010). Multi-objective optimization of decoloration and lactosucrose recovery through artificial neural network and genetic algorithm. Journal of Food Agriculture & Environment. 8(3). 121–127. 1 indexed citations

16.

Ren, Qian, Shu Guan, Jinluan Fu, & Aiguo Wang. (2010). Expression of tissue inhibitor of metalloproteinases-3 messenger RNA and protein in porcine endometrium during implantation. Molecular Biology Reports. 38(6). 3829–3837. 12 indexed citations

17.

Guan, Shu, et al.. (2010). In Vitro Efficacy of Myxococcus fulvus ANSM068 to Biotransform Aflatoxin B1. International Journal of Molecular Sciences. 11(10). 4063–4079. 54 indexed citations

18.

Ren, Qian, Shu Guan, Jinluan Fu, & Aiguo Wang. (2010). Temporal and Spatial Expression of Muc1 During Implantation in Sows. International Journal of Molecular Sciences. 11(6). 2322–2335. 25 indexed citations

19.

Guan, Shu, Jianwei He, J. Christopher Young, et al.. (2009). Transformation of trichothecene mycotoxins by microorganisms from fish digesta. Aquaculture. 290(3-4). 290–295. 87 indexed citations

20.

Liang, Zhihong, et al.. (2008). AFB1 Bio-Degradation by a New Strain - Stenotrophomonas. sp. Agricultural Sciences in China. 7(12). 1433–1437. 22 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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