Guanqing Liu

2.2k citations
43 papers · 1.4k indexed · 1 hit paper · h-index 17
Topics
CRISPR and Genetic Engineering (12 papers)Chromosomal and Genetic Variations (11 papers)RNA and protein synthesis mechanisms (7 papers)

In The Last Decade

Guanqing Liu

40 papers receiving 1.4k citations

Hit Papers

An efficient CRISPR–Cas12a promoter editing system for cr...20232026202420252023255075

Peers

Guanqing Liu
Comparison fields: 5 of 107
  • Molecular Biology 826
  • Plant Science 523
  • Computational Mechanics 232
  • Ocean Engineering 158
  • Genetics 124
Replace Xiaodong Liu with:
Xiaodong Liu China
Longxiang Wang China
Xingrong Wu China
Katherine A. Kentistou United Kingdom
Masayuki Nakamura Japan
Changlin Zhao China
Chunling Xu China
C. R. Thomas United Kingdom
Lin Qi China
Liming Shi China
Guanqing Liu relative to Xiaodong Liu China Xiaodong Liu's profile →
Citations per field
00.5×10×14.5×
Xiaodong Liu · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 4
4 11
5 10
6 1
7 0
8 1
9 1
10
An efficient CRISPR–Cas12a promoter editing system for crop improvementbreakdown →
96
11 40
12 166
13 9
14 16
15 130
16 208
17 5
18 7
19 3
20 47

About Guanqing Liu

Guanqing Liu is a scholar working on Plant Science, Molecular Biology and Computational Mechanics, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Chromosomal and Genetic Variations (11 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Business and International Management (64 citations), Plant Science (523 citations) and Molecular Biology (826 citations). Guanqing Liu has collaborated with scholars based in China, United States and Maldives. Frequent co-authors include Tao Zhang, Qiang Yao, Shuiqing Li, Yong Zhang, Jeffrey S. Marshall, Yiping Qi, Xuelian Zheng, Xu Tang, Zhaohui Zhong and Qiurong Ren. Their work appears in journals such as Nature Communications, PLANT PHYSIOLOGY and Langmuir.

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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