Liang Qu

2.6k total citations
39 papers, 1.3k citations indexed

About

Liang Qu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Liang Qu has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 4 papers in Ecology. Recurrent topics in Liang Qu's work include Neuroscience and Neuropharmacology Research (7 papers), CRISPR and Genetic Engineering (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Liang Qu is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), CRISPR and Genetic Engineering (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). Liang Qu collaborates with scholars based in China, Japan and France. Liang Qu's co-authors include Jean‐Pierre Bachellerie, Bernard Michot, Anne Baroin, Roland Perasso, Chunsheng Dong, Sidong Xiong, Lin Wei, Haoyi Wang, Wensheng Wei and Feng Tian and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Liang Qu

38 papers receiving 1.3k citations

Peers

Countries citing papers authored by Liang Qu

Since Specialization

Citations

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

Fields of papers citing papers by Liang Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Qu

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

#	Work	Indexed citations
1	Synergically enhanced anti-tumor immunity of in vivo panCAR by circRNA vaccine boosting 2025 ·Cell Reports Medicine ·Yanyan Wang, (unknown), Xinyue Wang, Jing Li, Qian Pan, (unknown), Jie Yin, Fei Gao, (unknown), Chenchen Zhang, (unknown), (unknown), Xinyang Li, Jinzhong Lin, Yichi Xu, Min Qiu, Dan Luo, Liang Qu	6
2	Transcriptome profiling in swine macrophages infected with African swine fever virus at single-cell resolution 2022 ·Proceedings of the National Academy of Sciences ·Yuxuan Zheng, Su Li, Shihua Li, Shaoxiong Yu, Qihui Wang, Kehui Zhang, Liang Qu, Yuan Sun, Yuhai Bi, Fuchou Tang, Hua-Ji Qiu, George F. Gao	67
3	Engineered circular ADAR-recruiting RNAs increase the efficiency and fidelity of RNA editing in vitro and in vivo 2022 ·Nature Biotechnology ·Zongyi Yi, Liang Qu, (unknown), Zhiheng Liu, Ying Liu, Feng Tian, Chunhui Wang, Xiaoxue Zhang, Ziqi Feng, Ying Yu, Pengfei Yuan, (unknown), Yanxia Zhao, Wensheng Wei	124
4	Weak complex formation of adverse drug reaction-associated HLA B57, B58, and B15 molecules 2022 ·Toxicology in Vitro ·(unknown), (unknown), Kenji Watanabe, Liang Qu, (unknown), Tyuji Hoshino, Kousei Ito, Shigeki Aoki	2
5	Lateral position: a friendly surgical position for intramedullary nailing of tibial shaft fractures via infrapatellar approach 2021 ·BMC Musculoskeletal Disorders ·(unknown), Liang Qu, Peng Li, (unknown), (unknown)	2
6	Nuclear translocation promotes proteasomal degradation of human Rad17 protein through the N-terminal destruction boxes 2021 ·Journal of Biological Chemistry ·Yasunori Fukumoto, (unknown), Liang Qu, Tyuji Hoshino, Naoto Yamaguchi, Yuji Nakayama, Yasumitsu Ogra	3
7	Analysis of Binding Modes of Antigen–Antibody Complexes by Molecular Mechanics Calculation 2021 ·Journal of Chemical Information and Modeling ·Liang Qu, (unknown), Fei Qi, N. Nishida, Tyuji Hoshino	23
8	The NAc lesions disrupted the hippocampus-mPFC theta coherence during intravenous cocaine administration in rats 2020 ·Neuroscience Letters ·Li Yang, Xin Wang, (unknown), Nan Li, Liang Qu, Ping Wang, Shunnan Ge, Xuelian Wang	6
9	Altered Activity of SK Channel Underpins Morphine Withdrawal Relevant Psychiatric Deficiency in Infralimbic to Accumbens Shell Pathway 2019 ·Frontiers in Psychiatry ·Liang Qu, Yuan Wang, Shunnan Ge, Nan Li, Jian Fu, Yue Zhang, Xin Wang, (unknown), Li Yang, Qiang Wang, Guodong Gao, Shiming He, (unknown), (unknown)	9
10	Clinical evaluation of deep brain stimulation of nucleus accumbens/anterior limb of internal capsule for opioid relapse prevention: protocol of a multicentre, prospective and double-blinded study 2019 ·BMJ Open ·Liang Qu, Shunnan Ge, Nan Li, Wei Wang, Kaijun Yang, Ping Wu, Xuelian Wang, Jie Shi	14
11	Programmable RNA editing by recruiting endogenous ADAR using engineered RNAs 2019 ·Nature Biotechnology ·Liang Qu, Zongyi Yi, Shiyou Zhu, Chunhui Wang, Zhongzheng Cao, Zhuo Zhou, Pengfei Yuan, Ying Yu, Feng Tian, Zhiheng Liu, Ying Bao, Yanxia Zhao, Wensheng Wei	194
12	Deep Brain Stimulation of Nucleus Accumbens for Methamphetamine Addiction: Two Case Reports 2018 ·World Neurosurgery ·Shunnan Ge, Yukun Chen, Nan Li, Liang Qu, Yang Li, (unknown), Xin Wang, Jing Wang, Xuelian Wang, (unknown), (unknown)	28
13	Enhanced ability of TRPV1 channels in regulating glutamatergic transmission after repeated morphine exposure in the nucleus accumbens of rat 2017 ·Brain Research ·Haitao Zhang, Dong Jia, Yuan Wang, Liang Qu, Xuelian Wang, (unknown), Lijun Heng, Guodong Gao	7
14	The molecular mechanism of CRISPR/Cas9 system and its application in gene therapy of human diseases. 2015 ·PubMed ·Liang Qu, (unknown), (unknown), Chunsheng Dong	5
15	Targeting hepatitis B virus cccDNA by CRISPR/Cas9 nuclease efficiently inhibits viral replication 2015 ·Antiviral Research ·Chunsheng Dong, Liang Qu, Haoyi Wang, Lin Wei, (unknown), Sidong Xiong	190
16	6-OHDA induced calcium influx through N-type calcium channel alters membrane properties via PKA pathway in substantia nigra pars compacta dopaminergic neurons 2014 ·Neuroscience Letters ·Liang Qu, Yuan Wang, Haitao Zhang, (unknown), Qiang Wang, Qian Yang, Guodong Gao, Xuelian Wang	9
17	High Throughput Identification of Monoclonal Antibodies to Membrane Bound and Secreted Proteins Using Yeast and Phage Display 2014 ·PLoS ONE ·(unknown), Liang Qu, Jing Zhou, Zhengda Sun, Hao Zou, Yunn‐Yi Chen, James D. Marks, Yu Zhou	14
18	HIF-1α up-regulates NDRG1 expression through binding to NDRG1 promoter, leading to proliferation of lung cancer A549 cells 2013 ·Molecular Biology Reports ·Qiang Wang, Lihong Li, Guodong Gao, Gang Wang, Liang Qu, Jinge Li, Chunmei Wang	47
19	Origin of the algae 1989 ·Nature ·Roland Perasso, Anne Baroin, Liang Qu, (unknown), André Adoutte	99
20	Titration of variant DNA sequences differing by a single point-mutation by selective dot-blot hybridization with synthetic oligonucleotides 1989 ·Biochemical and Biophysical Research Communications ·Monique Nicoloso, Liang Qu, Jean‐Pierre Bachellerie	10

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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