Liyan Zhu

1.3k total citations
38 papers, 894 citations indexed

About

Liyan Zhu is a scholar working on Molecular Biology, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Liyan Zhu has authored 38 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Liyan Zhu's work include Birth, Development, and Health (6 papers), interferon and immune responses (3 papers) and Ubiquitin and proteasome pathways (3 papers). Liyan Zhu is often cited by papers focused on Birth, Development, and Health (6 papers), interferon and immune responses (3 papers) and Ubiquitin and proteasome pathways (3 papers). Liyan Zhu collaborates with scholars based in China, United States and South Korea. Liyan Zhu's co-authors include Jingwei Ma, Ke Tang, Keke Wei, Bo Huang, Yuying Liu, Liping Zeng, Pingwei Xu, Jiadi Lv, Caiping Mao and Zhice Xu and has published in prestigious journals such as Nature Communications, Molecular Cell and Nature Cell Biology.

In The Last Decade

Liyan Zhu

35 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liyan Zhu China 15 413 185 169 146 121 38 894
Matladi Ndlovu Belgium 10 719 1.7× 188 1.0× 111 0.7× 124 0.8× 106 0.9× 10 1.0k
Sonu Kashyap United States 12 485 1.2× 208 1.1× 98 0.6× 251 1.7× 47 0.4× 21 1.2k
Barbara Ostanek Slovenia 16 545 1.3× 79 0.4× 182 1.1× 77 0.5× 73 0.6× 46 1.0k
Anica Schraenen Belgium 13 439 1.1× 187 1.0× 69 0.4× 106 0.7× 83 0.7× 15 1.3k
Junyan Sun China 16 318 0.8× 179 1.0× 127 0.8× 47 0.3× 49 0.4× 26 844
Sabine Seuter Finland 28 620 1.5× 341 1.8× 83 0.5× 148 1.0× 57 0.5× 38 1.8k
Maria Cristina Antal France 16 543 1.3× 187 1.0× 89 0.5× 198 1.4× 49 0.4× 54 1.4k
Elisabete Silva Portugal 18 359 0.9× 115 0.6× 47 0.3× 303 2.1× 87 0.7× 41 1.2k
Jianqing Zhou China 21 729 1.8× 126 0.7× 166 1.0× 149 1.0× 150 1.2× 59 1.6k
Jiaming Wen China 18 289 0.7× 72 0.4× 92 0.5× 80 0.5× 158 1.3× 48 1.0k

Countries citing papers authored by Liyan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Liyan Zhu. A scholar is included among the top collaborators of Liyan Zhu 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 Liyan Zhu. Liyan Zhu 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.
2.
Zhang, Huafeng, Jincheng Liu, Zhuoshun Yang, et al.. (2022). TCR activation directly stimulates PYGB-dependent glycogenolysis to fuel the early recall response in CD8+ memory T cells. Molecular Cell. 82(16). 3077–3088.e6. 29 indexed citations
3.
Tang, Ke, Liyan Zhu, Jie Chen, et al.. (2021). Hypoxia Promotes Breast Cancer Cell Growth by Activating a Glycogen Metabolic Program. Cancer Research. 81(19). 4949–4963. 75 indexed citations
4.
Zhu, Yuxing, Liyan Zhu, Youhua Chen, et al.. (2021). Luteoloside Ameliorates Palmitic Acid-Induced in Vitro Model of Non-alcoholic Fatty Liver Disease via Activating STAT3-Triggered Hepatocyte Regeneration. Folia Biologica. 67(3). 126–133. 3 indexed citations
5.
Qian, Guanghui, Liyan Zhu, Gen Li, et al.. (2021). An Integrated View of Deubiquitinating Enzymes Involved in Type I Interferon Signaling, Host Defense and Antiviral Activities. Frontiers in Immunology. 12. 742542–742542. 6 indexed citations
6.
Ma, Jingwei, Keke Wei, Junwei Liu, et al.. (2020). Glycogen metabolism regulates macrophage-mediated acute inflammatory responses. Nature Communications. 11(1). 1769–1769. 157 indexed citations
7.
Li, Jiaying, Hongxiang Zhang, Wenxi Hua, et al.. (2020). Contribution of Rs780094 and Rs1260326 Polymorphisms in GCKR Gene to Non-alcoholic Fatty Liver Disease: A Meta-Analysis Involving 26,552 Participants. Endocrine Metabolic & Immune Disorders - Drug Targets. 21(9). 1696–1708. 17 indexed citations
8.
Zhang, Huafeng, Ke Tang, Jingwei Ma, et al.. (2019). Ketogenesis-generated β-hydroxybutyrate is an epigenetic regulator of CD8+ T-cell memory development. Nature Cell Biology. 22(1). 18–25. 138 indexed citations
9.
Ma, Jingwei, Keke Wei, Huafeng Zhang, et al.. (2018). Mechanisms by Which Dendritic Cells Present Tumor Microparticle Antigens to CD8+ T Cells. Cancer Immunology Research. 6(9). 1057–1068. 64 indexed citations
10.
Gao, Qingxiang, et al.. (2018). Long noncoding RNAs regulate Wnt signaling during feather regeneration. Development. 145(21). 8 indexed citations
11.
Zhu, Li & Liyan Zhu. (2017). Sophocarpine suppress inflammatory response in human fibroblast-like synoviocytes and in mice with collagen-induced arthritis. European Cytokine Network. 28(3). 120–126. 17 indexed citations
12.
Xie, Wenjun, Meijuan Wu, Xiaohong Li, et al.. (2017). ICT1 predicts a poor survival and correlated with cell proliferation in diffuse large B-cell lymphoma. Gene. 627. 255–262. 9 indexed citations
13.
Liao, Chunyan, Liyan Zhu, Zheng‐Xiang Li, et al.. (2015). p53 Is a Direct Transcriptional Repressor of Keratin 17: Lessons from a Rat Model of Radiation Dermatitis. Journal of Investigative Dermatology. 136(3). 680–689. 21 indexed citations
15.
Mao, Caiping, et al.. (2009). Prenatal dehydration alters renin–angiotensin system associated with angiotensin-increased blood pressure in young offspring. Hypertension Research. 32(12). 1104–1111. 17 indexed citations
16.
Mao, Caiping, Yuying Zhang, Li Cao, et al.. (2009). The Effect of Tanshinone IIA on the Cardiovascular System in Ovine Fetus in Utero. The American Journal of Chinese Medicine. 37(6). 1031–1044. 5 indexed citations
17.
Zhang, Yifan, Caiping Mao, Yuying Zhang, et al.. (2009). The effect of tanshinone IIA on renal and liver functions in ovine fetusesin utero. Drug and Chemical Toxicology. 32(4). 362–371. 7 indexed citations
18.
Mao, Caiping, Hong Zhang, Daliao Xiao, et al.. (2008). Perinatal nicotine exposure alters AT1 and AT2 receptor expression pattern in the brain of fetal and offspring rats. Brain Research. 1243. 47–52. 14 indexed citations
19.
Shi, Lijun, Caiping Mao, Fanxing Zeng, Liyan Zhu, & Zhice Xu. (2008). Central cholinergic mechanisms mediate swallowing, renal excretion, and c-fos expression in the ovine fetus near term. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 296(2). R318–R325. 2 indexed citations
20.
Lv, Juanxiu, Caiping Mao, Liyan Zhu, et al.. (2008). The effect of prenatal nicotine on expression of nicotine receptor subunits in the fetal brain. NeuroToxicology. 29(4). 722–726. 50 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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