Ruiying Qin

2.7k total citations
38 papers, 1.6k citations indexed

About

Ruiying Qin is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Ruiying Qin has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 23 papers in Plant Science and 6 papers in Biotechnology. Recurrent topics in Ruiying Qin's work include CRISPR and Genetic Engineering (23 papers), Plant Virus Research Studies (10 papers) and Plant Stress Responses and Tolerance (8 papers). Ruiying Qin is often cited by papers focused on CRISPR and Genetic Engineering (23 papers), Plant Virus Research Studies (10 papers) and Plant Stress Responses and Tolerance (8 papers). Ruiying Qin collaborates with scholars based in China and Egypt. Ruiying Qin's co-authors include Pengcheng Wei, Rongfang Xu, Juan Li, Hao Li, Jianbo Yang, Xiaoshuang Liu, Li Li, Ya-Chun Yang, Hui Ma and Dongdong Li and has published in prestigious journals such as Scientific Reports, Genome biology and Trends in biotechnology.

In The Last Decade

Ruiying Qin

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiying Qin China 20 1.4k 1.1k 203 164 125 38 1.6k
Rongfang Xu China 18 1.3k 0.9× 1.0k 0.9× 187 0.9× 148 0.9× 118 0.9× 39 1.6k
Simon Sretenovic United States 20 1.6k 1.1× 1.1k 1.0× 281 1.4× 177 1.1× 142 1.1× 28 1.8k
Qiurong Ren China 12 1.5k 1.0× 952 0.9× 270 1.3× 139 0.8× 102 0.8× 20 1.6k
Aimee A. Malzahn United States 13 1.9k 1.3× 1.4k 1.2× 343 1.7× 170 1.0× 147 1.2× 17 2.1k
Zhaohui Zhong China 19 2.0k 1.4× 1.4k 1.3× 307 1.5× 204 1.2× 141 1.1× 30 2.2k
Levi G. Lowder United States 9 1.4k 1.0× 967 0.9× 213 1.0× 108 0.7× 123 1.0× 10 1.5k
Masafumi Mikami Japan 17 1.6k 1.1× 1.3k 1.2× 259 1.3× 162 1.0× 130 1.0× 26 1.9k
Yanfei Mao China 17 2.0k 1.4× 1.8k 1.6× 309 1.5× 162 1.0× 117 0.9× 29 2.4k
Je Wook Woo South Korea 4 1.0k 0.7× 700 0.6× 170 0.8× 110 0.7× 110 0.9× 5 1.1k
Meizhu Yang United States 13 1.0k 0.7× 970 0.9× 72 0.4× 157 1.0× 183 1.5× 17 1.3k

Countries citing papers authored by Ruiying Qin

Since Specialization
Citations

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

Fields of papers citing papers by Ruiying Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiying Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiying Qin. A scholar is included among the top collaborators of Ruiying Qin 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 Ruiying Qin. Ruiying Qin 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.
Qiu, Jiawei, Ruiying Qin, Shuai Zhi, & Liwei Liu. (2025). Recent advance in macrolactams: Structure, bioactivity, and biosynthesis. Bioorganic Chemistry. 159. 108406–108406. 1 indexed citations
2.
Zhi, Xiao, Zhaopeng Luo, Shiyi Zhou, et al.. (2025). Improving plant C-to-G base editors with a cold-adapted glycosylase and TadA-8e variants. Trends in biotechnology. 43(7). 1765–1787. 3 indexed citations
3.
Wang, Hui, Xiaoshuang Liu, Rongfang Xu, et al.. (2024). Developing a CRISPR/FrCas9 system for core promoter editing in rice. aBIOTECH. 5(2). 189–195. 5 indexed citations
4.
Xu, Rongfang, Dongmei Wang, Xiaoshuang Liu, et al.. (2024). Engineering PE6 prime editors to efficiently insert tags in rice. Plant Biotechnology Journal. 22(12). 3383–3385. 8 indexed citations
5.
Liu, Xiaoshuang, Yiru Zhang, Xiao Zhi, et al.. (2024). Conditional knockdown of OsMLH1 to improve plant prime editing systems without disturbing fertility in rice. Genome biology. 25(1). 131–131. 13 indexed citations
6.
Li, Juan, Rongfang Xu, Xiaoshuang Liu, et al.. (2023). Prime editing-mediated precise knockin of protein tag sequences in the rice genome. Plant Communications. 4(3). 100572–100572. 34 indexed citations
7.
Yang, Ya-Chun, Yong Ding, Wen‐Ping Wu, et al.. (2022). OsGSTU5 and OsGSTU37 encoding glutathione reductases are required for cadmium tolerance in rice. International Journal of Environmental Science and Technology. 20(9). 10253–10260. 11 indexed citations
8.
Li, Juan, Like Chen, Jing Liang, et al.. (2022). Development of a highly efficient prime editor 2 system in plants. Genome biology. 23(1). 161–161. 53 indexed citations
9.
Xu, Rongfang, Xiaoshuang Liu, Juan Li, Ruiying Qin, & Pengcheng Wei. (2021). Identification of herbicide resistance OsACC1 mutations via in planta prime-editing-library screening in rice. Nature Plants. 7(7). 888–892. 80 indexed citations
10.
Xu, Rongfang, et al.. (2020). Development of Plant Prime-Editing Systems for Precise Genome Editing. Plant Communications. 1(3). 100043–100043. 143 indexed citations
11.
Qin, Ruiying, Juan Li, Xiaoshuang Liu, et al.. (2020). SpCas9-NG self-targets the sgRNA sequence in plant genome editing. Nature Plants. 6(3). 197–201. 40 indexed citations
12.
Li, Juan, Ruiying Qin, Rongfang Xu, et al.. (2017). Isolation and identification of five cold-inducible promoters from Oryza sativa. Planta. 247(1). 99–111. 12 indexed citations
13.
Hu, Lei, Hao Li, Ruiying Qin, et al.. (2016). Plant phosphomannose isomerase as a selectable marker for rice transformation. Scientific Reports. 6(1). 25921–25921. 27 indexed citations
14.
Li, Hao, Yicheng Sun, Ruiying Qin, et al.. (2015). A novel plant code optimization phosphomannose isomerase (pPMI) and its application in rice (Oryza sativa L.) transformation as selective marker.. Plant Omics. 8(1). 30–36. 1 indexed citations
15.
Li, Hao, Juan Li, Ruiying Qin, et al.. (2015). Isolation and characterization of three cadmium-inducible promoters from Oryza sativa. Journal of Biotechnology. 216. 11–19. 8 indexed citations
16.
Duan, Yongbo, Juan Li, Ruiying Qin, et al.. (2015). Identification of a regulatory element responsible for salt induction of rice OsRAV2 through ex situ and in situ promoter analysis. Plant Molecular Biology. 90(1-2). 49–62. 124 indexed citations
17.
Xu, Rongfang, Hao Li, Ruiying Qin, et al.. (2015). Generation of inheritable and “transgene clean” targeted genome-modified rice in later generations using the CRISPR/Cas9 system. Scientific Reports. 5(1). 11491–11491. 174 indexed citations
18.
Li, Juan, Ruiying Qin, Hao Li, et al.. (2015). Identification and analysis of the mechanism underlying heat-inducible expression of rice aconitase 1. Plant Science. 233. 22–31. 13 indexed citations
19.
Li, Juan, Rongfang Xu, Ruiying Qin, et al.. (2014). Isolation and functional characterization of a novel rice constitutive promoter. Plant Cell Reports. 33(10). 1651–1660. 12 indexed citations
20.
Liang, Dandan, et al.. (2013). Overexpression of an alternative oxidase gene, OsAOX1a, improves cold tolerance in Oryza sativa L.. Genetics and Molecular Research. 12(4). 5424–5432. 22 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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