Zhaoming Liu

3.0k total citations
53 papers, 1.5k citations indexed

About

Zhaoming Liu is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Zhaoming Liu has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Pharmacology and 11 papers in Genetics. Recurrent topics in Zhaoming Liu's work include CRISPR and Genetic Engineering (9 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Virus-based gene therapy research (6 papers). Zhaoming Liu is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Virus-based gene therapy research (6 papers). Zhaoming Liu collaborates with scholars based in China, United States and Hong Kong. Zhaoming Liu's co-authors include Jie Hou, Ling Yang, Guang‐Bo Ge, Lei Feng, Jingnan Cui, Liangxue Lai, Zhen Ouyang, Bentian Zhao, Xia Lv and Huaqiang Yang and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Chemical Communications.

In The Last Decade

Zhaoming Liu

48 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaoming Liu China 22 958 348 208 151 134 53 1.5k
Pablo Carbonell Spain 34 2.0k 2.1× 364 1.0× 234 1.1× 73 0.5× 112 0.8× 99 2.8k
Wei Fu China 26 1.0k 1.1× 123 0.4× 238 1.1× 102 0.7× 371 2.8× 100 2.3k
Ivanov As Russia 22 944 1.0× 94 0.3× 168 0.8× 138 0.9× 107 0.8× 183 1.8k
Vladimir A. Mitkevich Russia 27 1.5k 1.6× 242 0.7× 160 0.8× 61 0.4× 164 1.2× 190 2.2k
Jan Štourač Czechia 16 1.6k 1.7× 293 0.8× 56 0.3× 66 0.4× 250 1.9× 26 2.2k
Yu Zhao China 27 1.7k 1.8× 90 0.3× 176 0.8× 49 0.3× 142 1.1× 151 3.1k
Hideshi Inoue Japan 26 1.4k 1.4× 355 1.0× 64 0.3× 87 0.6× 143 1.1× 106 2.1k
Peter Nußbaumer Austria 25 1.4k 1.4× 317 0.9× 156 0.8× 54 0.4× 165 1.2× 101 2.5k
Yoonji Lee South Korea 25 924 1.0× 102 0.3× 108 0.5× 53 0.4× 202 1.5× 82 1.9k
Yan Lü United States 25 1.4k 1.5× 128 0.4× 151 0.7× 40 0.3× 71 0.5× 63 2.7k

Countries citing papers authored by Zhaoming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhaoming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoming Liu. A scholar is included among the top collaborators of Zhaoming Liu 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 Zhaoming Liu. Zhaoming Liu 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.
Li, Jiawei, Chunhui Huang, Zhaoming Liu, et al.. (2025). RNA-Targeting CRISPR/CasRx system relieves disease symptoms in Huntington’s disease models. Molecular Neurodegeneration. 20(1). 4–4. 6 indexed citations
2.
Wang, Ling, Jean de Dieu Habimana, Omar Mukama, et al.. (2024). STING agonist diABZI enhances the cytotoxicity of T cell towards cancer cells. Cell Death and Disease. 15(4). 265–265. 15 indexed citations
3.
Li, Yuan, Tingting Yang, Yingying Cheng, et al.. (2023). Low glutaminase and glycolysis correlate with a high transdifferentiation efficiency in mouse cortex. Cell Proliferation. 56(5). e13422–e13422. 3 indexed citations
4.
Chen, Pengfei, Kai‐Feng Pan, Nan Song, et al.. (2023). A natural extracellular matrix hydrogel through selective nutrient restriction for hyperinflammatory starvation therapy. Matter. 6(3). 1037–1038. 2 indexed citations
5.
Yan, Sen, Xiaoming Zheng, Zhaoming Liu, et al.. (2023). Cas9-mediated replacement of expanded CAG repeats in a pig model of Huntington’s disease. Nature Biomedical Engineering. 7(5). 629–646. 34 indexed citations
6.
Chen, Pengfei, Nan Song, Yang Yang, et al.. (2022). A natural extracellular matrix hydrogel through selective nutrient restriction for hyperinflammatory starvation therapy. Matter. 6(2). 397–428. 17 indexed citations
7.
Liu, Zhaoming, Teng Cui, Wenjing Wang, et al.. (2022). Purification, structural characterization, and anticoagulant activity evaluation of chondroitin sulfate from codfish (Gadus macrocephalus) bones. International Journal of Biological Macromolecules. 210. 759–767. 25 indexed citations
8.
Liu, Zhaoming, et al.. (2022). Development of a coumarin-based fluorescent probe for selective measurement of tyrosinase activity in living cells. Tetrahedron Letters. 94. 153700–153700. 1 indexed citations
9.
Liu, Zhaoming, et al.. (2019). LncRNA nuclear-enriched abundant transcript 1 regulates hypoxia-evoked apoptosis and autophagy via mediation of microRNA-181b. Molecular and Cellular Biochemistry. 464(1-2). 193–203. 17 indexed citations
10.
Zhang, Jing, et al.. (2017). Physicochemical and immunological characterization of two forms of recombinant norovirus GII.4 virus-like particles assembled in Hansenula polymorpha. Zhonghua weishengwuxue he mianyixue zazhi. 37(12). 927–932. 2 indexed citations
11.
12.
Liu, Zhaoming, et al.. (2017). Motion description language for trajectory generation of a robot manipulator. 1950–1955. 2 indexed citations
13.
Li, Yaoguang, Jie Hou, Shi-Yang Li, et al.. (2015). Fructus Psoraleae contains natural compounds with potent inhibitory effects towards human carboxylesterase 2. Fitoterapia. 101. 99–106. 65 indexed citations
14.
Wang, Guohao, Huaqiang Yang, Sen Yan, et al.. (2015). Cytoplasmic mislocalization of RNA splicing factors and aberrant neuronal gene splicing in TDP-43 transgenic pig brain. Molecular Neurodegeneration. 10(1). 42–42. 48 indexed citations
15.
Liu, Zhaoming, Lei Feng, Guang‐Bo Ge, et al.. (2014). A highly selective ratiometric fluorescent probe for in vitro monitoring and cellular imaging of human carboxylesterase 1. Biosensors and Bioelectronics. 57. 30–35. 81 indexed citations
16.
Feng, Lei, Zhaoming Liu, Jie Hou, et al.. (2014). A highly selective fluorescent ESIPT probe for the detection of Human carboxylesterase 2 and its biological applications. Biosensors and Bioelectronics. 65. 9–15. 108 indexed citations
17.
Xin, Jige, Huaqiang Yang, Nana Fan, et al.. (2013). Highly Efficient Generation of GGTA1 Biallelic Knockout Inbred Mini-Pigs with TALENs. PLoS ONE. 8(12). e84250–e84250. 66 indexed citations
18.
Shi, Rong, Hui Zhou, Zhaoming Liu, et al.. (2009). Influence of Coptis Chinensis on pharmacokinetics of flavonoids after oral administration of Radix Scutellariae in rats. Biopharmaceutics & Drug Disposition. 30(7). 398–410. 31 indexed citations
19.
Liu, Zhaoming, et al.. (2007). [Pharmacokinetics of flavonoids from xiexin decoction in rats].. PubMed. 42(7). 722–9. 10 indexed citations
20.
Liu, Zhaoming. (2004). Study Of Entrepreneurship Education. 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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