Guanqing Liu

2.2k total citations · 1 hit paper
43 papers, 1.4k citations indexed

About

Guanqing Liu is a scholar working on Molecular Biology, Plant Science and Computational Mechanics. According to data from OpenAlex, Guanqing Liu has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Plant Science and 6 papers in Computational Mechanics. Recurrent topics in Guanqing Liu's work include CRISPR and Genetic Engineering (12 papers), Chromosomal and Genetic Variations (11 papers) and RNA and protein synthesis mechanisms (7 papers). Guanqing Liu is often cited by papers focused on CRISPR and Genetic Engineering (12 papers), Chromosomal and Genetic Variations (11 papers) and RNA and protein synthesis mechanisms (7 papers). Guanqing Liu collaborates with scholars based in China, United States and Maldives. Guanqing Liu's co-authors include Tao Zhang, Qiang Yao, Shuiqing Li, Yong Zhang, Jeffrey S. Marshall, Xuelian Zheng, Yiping Qi, Xu Tang, Zhaohui Zhong and Qiurong Ren and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and Langmuir.

In The Last Decade

Guanqing Liu

40 papers receiving 1.4k citations

Hit Papers

An efficient CRISPR–Cas12a promoter editing system for cr... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanqing Liu China 17 826 523 232 158 124 43 1.4k
Liming Shi China 19 297 0.4× 465 0.9× 87 0.4× 17 0.1× 44 0.4× 51 1.1k
Changlin Zhao China 22 418 0.5× 1.3k 2.4× 148 0.6× 13 0.1× 23 0.2× 221 2.2k
Katherine A. Kentistou United Kingdom 27 1.5k 1.8× 149 0.3× 100 0.4× 47 0.3× 276 2.2× 49 2.0k
Xiaodong Liu China 20 615 0.7× 475 0.9× 16 0.1× 105 0.7× 32 0.3× 74 1.7k
C. R. Thomas United Kingdom 26 836 1.0× 263 0.5× 61 0.3× 24 0.2× 45 0.4× 43 1.9k
P. Ayazi Shamlou United Kingdom 28 1.1k 1.3× 57 0.1× 263 1.1× 87 0.6× 221 1.8× 82 2.1k
N. G. Cogan United States 17 373 0.5× 50 0.1× 91 0.4× 25 0.2× 125 1.0× 52 889
Yeongseon Jang South Korea 21 348 0.4× 380 0.7× 7 0.0× 38 0.2× 45 0.4× 86 1.3k
Lin Qi China 24 601 0.7× 885 1.7× 27 0.1× 5 0.0× 154 1.2× 75 1.8k
M. Hoare United Kingdom 28 1.3k 1.5× 60 0.1× 145 0.6× 27 0.2× 132 1.1× 75 2.0k

Countries citing papers authored by Guanqing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guanqing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanqing Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Guanqing Liu. A scholar is included among the top collaborators of Guanqing 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 Guanqing Liu. Guanqing 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
2.
Chen, Long, Guanqing Liu, & Tao Zhang. (2024). Integrating machine learning and genome editing for crop improvement. aBIOTECH. 5(2). 262–277. 11 indexed citations
3.
Zhao, Dongsheng, Guanqing Liu, Jinyu Liu, et al.. (2024). A CRISPR/Cas9‐mediated mutant library of seed‐preferred genes in rice. Plant Biotechnology Journal. 22(11). 3012–3014. 4 indexed citations
4.
Liu, Guanqing, et al.. (2024). A generalized coarse-graining discrete-element method with variable scaling ratios based on non-dimensional contact equation. Powder Technology. 452. 120569–120569. 1 indexed citations
5.
Liu, Guanqing & Tao Zhang. (2023). Bioinformatic Prediction of Bulked Oligonucleotide Probes for FISH Using Chorus2. Methods in molecular biology. 2672. 389–408.
6.
Wang, Ziyue, et al.. (2023). Male-Specific Sequence in Populus simonii Provides Insights into Gender Determination of Poplar. Forests. 14(12). 2385–2385. 1 indexed citations
7.
Li, Dongsheng, Peng Zhu, Chen Chen, et al.. (2023). The Landscapes of Gluten Regulatory Network in Elite Wheat Cultivars Contrasting in Gluten Strength. International Journal of Molecular Sciences. 24(11). 9447–9447. 1 indexed citations
8.
Zhou, Jianping, Guanqing Liu, Yuxin Zhao, et al.. (2023). An efficient CRISPR–Cas12a promoter editing system for crop improvement. Nature Plants. 9(4). 588–604. 96 indexed citations breakdown →
9.
Wu, Yuechao, Qiurong Ren, Zhaohui Zhong, et al.. (2022). Genome‐wide analyses of PAM‐relaxed Cas9 genome editors reveal substantial off‐target effects by ABE8e in rice. Plant Biotechnology Journal. 20(9). 1670–1682. 40 indexed citations
10.
Ren, Qiurong, Simon Sretenovic, Shishi Liu, et al.. (2021). PAM-less plant genome editing using a CRISPR–SpRY toolbox. Nature Plants. 7(1). 25–33. 166 indexed citations
11.
Liu, Guanqing, et al.. (2021). Evaluation and application of tools for the identification of known microRNAs in plants. Applications in Plant Sciences. 9(3). e11414–e11414. 9 indexed citations
12.
Wu, Yuechao, Yao He, Simon Sretenovic, et al.. (2021). CRISPR‐BETS: a base‐editing design tool for generating stop codons. Plant Biotechnology Journal. 20(3). 499–510. 30 indexed citations
13.
Liu, Guanqing & Tao Zhang. (2021). Single Copy Oligonucleotide Fluorescence In Situ Hybridization Probe Design Platforms: Development, Application and Evaluation. International Journal of Molecular Sciences. 22(13). 7124–7124. 15 indexed citations
14.
Tao, Shentong, Pengyue Zhang, Guanqing Liu, et al.. (2021). Epigenomic features of DNA G-quadruplexes and their roles in regulating rice gene transcription. PLANT PHYSIOLOGY. 188(3). 1632–1648. 29 indexed citations
15.
Liu, Shuai, Guanqing Liu, Pei-Feng Cheng, et al.. (2019). Genome-wide Profiling of Histone Lysine Butyrylation Reveals its Role in the Positive Regulation of Gene Transcription in Rice. Rice. 12(1). 86–86. 16 indexed citations
16.
Liu, Guanqing, Yong Zhang, & Tao Zhang. (2019). Computational approaches for effective CRISPR guide RNA design and evaluation. Computational and Structural Biotechnology Journal. 18. 35–44. 130 indexed citations
17.
Tang, Xu, Guanqing Liu, Jianping Zhou, et al.. (2018). A large-scale whole-genome sequencing analysis reveals highly specific genome editing by both Cas9 and Cpf1 (Cas12a) nucleases in rice. Genome biology. 19(1). 84–84. 208 indexed citations
18.
Liu, Shuai, Chao Xue, Yuan Fang, et al.. (2018). Global Involvement of Lysine Crotonylation in Protein Modification and Transcription Regulation in Rice. Molecular & Cellular Proteomics. 17(10). 1922–1936. 54 indexed citations
19.
Sun, Yan, Guizhi Wang, Zhibin Ji, et al.. (2016). Three slow skeletal muscle troponin genes in small-tailed Han sheep (Ovis aries): molecular cloning, characterization and expression analysis. Molecular Biology Reports. 43(9). 999–1010. 7 indexed citations
20.
Wang, Guizhi, Zhibin Ji, Zhaohua Liu, et al.. (2015). Molecular cloning, characterisation and mRNA expression analysis of the sheep myosin light chain 1 gene. Gene. 569(1). 51–59. 3 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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