Yugu Li

994 total citations
54 papers, 769 citations indexed

About

Yugu Li is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Yugu Li has authored 54 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 22 papers in Cancer Research and 15 papers in Immunology. Recurrent topics in Yugu Li's work include Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (13 papers) and Circular RNAs in diseases (10 papers). Yugu Li is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (13 papers) and Circular RNAs in diseases (10 papers). Yugu Li collaborates with scholars based in China, United States and Indonesia. Yugu Li's co-authors include Yongjiang Ma, Yaqiong Ye, Daotong Li, Junjie Qi, Le Hao, Dan Ouyang, Li Deng, Zhenxing Liu, Yuan Zhang and Xiao‐Fang Yu and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Clinical Microbiology and Frontiers in Microbiology.

In The Last Decade

Yugu Li

51 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yugu Li China	17	361	269	165	136	72	54	769
Qi Tang China	17	678 1.9×	310 1.2×	105 0.6×	104 0.8×	162 2.3×	58	1.0k
Xiaoyu Zhang China	17	421 1.2×	206 0.8×	72 0.4×	43 0.3×	95 1.3×	67	899
Ayman A. Saleh Egypt	18	261 0.7×	143 0.5×	60 0.4×	71 0.5×	72 1.0×	37	714
Huimin Liu China	16	475 1.3×	141 0.5×	239 1.4×	131 1.0×	43 0.6×	77	1.0k
Sung Hyun Lee South Korea	13	270 0.7×	105 0.4×	71 0.4×	84 0.6×	28 0.4×	37	785
Liwen Zhou China	17	343 1.0×	89 0.3×	185 1.1×	59 0.4×	70 1.0×	60	852
Ganqiu Lan China	14	256 0.7×	85 0.3×	79 0.5×	91 0.7×	90 1.3×	53	554
Qian Xie China	15	338 0.9×	75 0.3×	82 0.5×	172 1.3×	43 0.6×	53	785
Mohammad Reza Bakhtiarizadeh Iran	18	524 1.5×	245 0.9×	132 0.8×	52 0.4×	74 1.0×	59	921
Danning Xu China	18	315 0.9×	74 0.3×	162 1.0×	133 1.0×	260 3.6×	67	856

Countries citing papers authored by Yugu Li

Since Specialization

Citations

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

Fields of papers citing papers by Yugu Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yugu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yugu Li. A scholar is included among the top collaborators of Yugu Li 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 Yugu Li. Yugu Li 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

Li, Yuanliang, Yuanliang Li, Kai Liu, et al.. (2025). The gut microbiota-derived metabolites regulate bone extracellular matrix homeostasis: Mechanisms and therapeutic implications. Cellular Signalling. 138. 112245–112245.

Xu, Danning, Wanyan Li, Yifeng Wang, et al.. (2024). Non-coding RNA regulation of Magang geese skeletal muscle maturation via the MAPK signaling pathway. Frontiers in Physiology. 14. 1331974–1331974. 4 indexed citations

Ma, Yanping, et al.. (2024). Mandarin Fish Ranavirus (MRV) Infection Induced Inflammation and Histologic Lesions in the Gut of Mandarin Fish. Journal of Fish Diseases. 48(1). e14029–e14029. 1 indexed citations

Zhang, Jianmin, Weixiao Zhang, Menglu Wang, et al.. (2023). Fangchinoline Inhibits the Pedv Replication in Intestinal Epithelial Cells Via Autophagic Flux Suppression. SSRN Electronic Journal. 2 indexed citations

Zhang, Weixiao, Haiyan Shen, Menglu Wang, et al.. (2023). Fangchinoline inhibits the PEDV replication in intestinal epithelial cells via autophagic flux suppression. Frontiers in Microbiology. 14. 1164851–1164851. 7 indexed citations

Li, Ying, Ying Li, Xintong Wang, et al.. (2022). miR-152-3p Represses the Proliferation of the Thymic Epithelial Cells by Targeting Smad2. Genes. 13(4). 576–576. 3 indexed citations

Li, Bingxin, Ying Li, Lin Yang, et al.. (2022). Effects of PAMK on lncRNA, miRNA, and mRNA expression profiles of thymic epithelial cells. Functional & Integrative Genomics. 22(5). 849–863. 4 indexed citations

Wang, Xintong, Boning Li, Ying Li, et al.. (2020). miR-205-5p inhibits thymic epithelial cell proliferation via FA2H-TFAP2A feedback regulation in age-associated thymus involution. Molecular Immunology. 122. 173–185. 12 indexed citations

Li, Bingxin, Yaqiong Ye, Jingjing Xing, et al.. (2020). Effects of Castration on miRNA, lncRNA, and mRNA Profiles in Mice Thymus. Genes. 11(2). 147–147. 9 indexed citations

10.

Li, Ying, et al.. (2018). Transcriptional profiling analysis of Zearalenone-induced inhibition proliferation on mouse thymic epithelial cell line 1. Ecotoxicology and Environmental Safety. 153. 135–141. 16 indexed citations

11.

Li, Ying, et al.. (2018). Profiling analysis of 17β-estradiol-regulated lncRNAs in mouse thymic epithelial cells. Physiological Genomics. 50(8). 553–562. 8 indexed citations

12.

Hao, Le, et al.. (2017). LuxS/AI-2 in Streptococcus agalactiae reveals a key role in acid tolerance and virulence. Research in Veterinary Science. 115. 501–507. 34 indexed citations

13.

Ye, Yaqiong, et al.. (2017). Age and sex differences in microRNAs expression during the process of thymus aging. Acta Biochimica et Biophysica Sinica. 49(5). 409–419. 30 indexed citations

14.

Ye, Yaqiong, Junjie Qi, Lihua Zhang, et al.. (2016). MicroRNA-195a-5p inhibits mouse medullary thymic epithelial cells proliferation by directly targeting Smad7. Acta Biochimica et Biophysica Sinica. 48(3). 290–297. 15 indexed citations

15.

Ouyang, Dan, Yaqiong Ye, Xiao‐Fang Yu, et al.. (2015). MicroRNA-125b-5p inhibits proliferation and promotes adipogenic differentiation in 3T3-L1 preadipocytes. Acta Biochimica et Biophysica Sinica. 47(5). 355–361. 34 indexed citations

16.

Li, Daotong, Haoran Ma, Yaqiong Ye, et al.. (2014). Deoxynivalenol induces apoptosis in mouse thymic epithelial cells through mitochondria-mediated pathway. Environmental Toxicology and Pharmacology. 38(1). 163–171. 45 indexed citations

17.

Ye, Yaqiong, Daotong Li, Dan Ouyang, et al.. (2014). MicroRNA expression in the aging mouse thymus. Gene. 547(2). 218–225. 19 indexed citations

18.

Li, Daotong, Yaqiong Ye, Li Deng, et al.. (2013). Evaluation of deoxynivalenol-induced toxic effects on DF-1 cells in vitro: Cell-cycle arrest, oxidative stress, and apoptosis. Environmental Toxicology and Pharmacology. 37(1). 141–149. 80 indexed citations

19.

Li, Hongmei, Wen Luo, Ying Li, et al.. (2012). Let-7b regulates the expression of the growth hormone receptor gene in deletion-type dwarf chickens. BMC Genomics. 13(1). 306–306. 59 indexed citations

20.

Li, Yugu. (2005). Study on Naturally Infected Plague Fleas in the Plague Natural Focus of Hebei Province. Zhongguo meijie shengwuxue ji kongzhi zazhi. 1 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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