Chaolei Liu

2.1k total citations
50 papers, 1.3k citations indexed

About

Chaolei Liu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Chaolei Liu has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 15 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Chaolei Liu's work include Plant Stress Responses and Tolerance (9 papers), GABA and Rice Research (8 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Chaolei Liu is often cited by papers focused on Plant Stress Responses and Tolerance (9 papers), GABA and Rice Research (8 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Chaolei Liu collaborates with scholars based in China, Australia and Philippines. Chaolei Liu's co-authors include Zhenyu Gao, Qian Qian, Banpu Ruan, Anpeng Zhang, Longbiao Guo, Hongzhen Jiang, Li Zhu, Guojun Dong, Lianguang Shang and Guobin Fu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Chaolei Liu

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaolei Liu China 20 935 267 266 160 97 50 1.3k
Eduardo A. Tambussi Argentina 17 1.5k 1.6× 107 0.4× 304 1.1× 247 1.5× 64 0.7× 25 1.7k
Muhammad Ishaq Asif Rehmani Pakistan 21 732 0.8× 40 0.1× 93 0.3× 131 0.8× 98 1.0× 45 1.0k
Yanan Guan China 19 454 0.5× 160 0.6× 117 0.4× 86 0.5× 24 0.2× 48 890
Takashi Ikka Japan 18 1.2k 1.3× 105 0.4× 182 0.7× 55 0.3× 40 0.4× 52 1.5k
Feng Sun China 20 708 0.8× 31 0.1× 193 0.7× 98 0.6× 72 0.7× 55 1.2k
Guichun Dong China 14 918 1.0× 54 0.2× 58 0.2× 205 1.3× 84 0.9× 57 1.1k
Keisuke Katsura Japan 20 1.3k 1.4× 155 0.6× 68 0.3× 77 0.5× 19 0.2× 61 1.5k
Shardendu K. Singh United States 25 1.2k 1.3× 63 0.2× 199 0.7× 178 1.1× 19 0.2× 40 1.4k
Yongji Huang China 15 442 0.5× 78 0.3× 147 0.6× 60 0.4× 27 0.3× 35 726
Zujian Zhang China 17 920 1.0× 96 0.4× 101 0.4× 27 0.2× 209 2.2× 54 1.1k

Countries citing papers authored by Chaolei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chaolei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaolei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chaolei Liu. A scholar is included among the top collaborators of Chaolei 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 Chaolei Liu. Chaolei 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.
Liu, Chaolei, Xuesong Jin, Tingting Sun, et al.. (2025). OsPLDα2-dependent synthetic apomixis enables normal seed setting in hybrid rice via genome editing. Science Bulletin. 70(23). 3957–3959. 2 indexed citations
2.
Rao, Yuchun, Chaolei Liu, Hongwei Lu, et al.. (2024). Self-propagated clonal seed production in dicotyledonous Arabidopsis. Science Bulletin. 70(9). 1416–1419. 3 indexed citations
3.
Jiao, Xiaozhen, et al.. (2024). Knockout of OsHMA3 in an indica rice increases cadmium sensitivity and inhibits plant growth. Plant Growth Regulation. 103(3). 635–646. 9 indexed citations
4.
5.
Liu, Chaolei, et al.. (2024). The efficacy of preemptive multimodal analgesia in elderly patients undergoing laparoscopic colorectal surgery: a randomized controlled trial. Scientific Reports. 14(1). 25438–25438. 1 indexed citations
6.
Luo, Zhenling, Chaolei Liu, Xiaofei Yang, Jian‐Kang Zhu, & Chao‐Feng Huang. (2023). Mitigating cadmium accumulation in rice without compromising growth via modifying the regulatory region of OsNRAMP5. SHILAP Revista de lepidopterología. 3(1). 34–34. 9 indexed citations
7.
Wang, Jian, et al.. (2023). Development of Specific Molecular and Phenotypic Marker-Based Haploid Inducers in Rice. Agronomy. 13(6). 1520–1520.
8.
Yu, Jianping, Chaolei Liu, Hai Lin, et al.. (2021). Loci and natural alleles for cadmium-mediated growth responses revealed by a genome wide association study and transcriptome analysis in rice. BMC Plant Biology. 21(1). 374–374. 11 indexed citations
9.
Ruan, Banpu, Lianguang Shang, Bin Zhang, et al.. (2020). Natural variation in the promoter of TGW2 determines grain width and weight in rice. New Phytologist. 227(2). 629–640. 110 indexed citations
10.
Yang, Shenglong, Anpeng Zhang, Banpu Ruan, et al.. (2020). Rice EARLY SENESCENCE 2, encoding an inositol polyphosphate kinase, is involved in leaf senescence. BMC Plant Biology. 20(1). 393–393. 19 indexed citations
11.
Yang, Shenglong, Banpu Ruan, Chaolei Liu, et al.. (2020). Isolation of TSCD11 Gene for Early Chloroplast Development under High Temperature in Rice. Rice. 13(1). 49–49. 19 indexed citations
12.
Gao, Zhenyu, Yufeng Wang, Guang Chen, et al.. (2019). The indica nitrate reductase gene OsNR2 allele enhances rice yield potential and nitrogen use efficiency. Nature Communications. 10(1). 5207–5207. 202 indexed citations
13.
Liu, Chaolei, Zhenyu Gao, Lianguang Shang, et al.. (2019). Natural variation in the promoter of OsHMA3 contributes to differential grain cadmium accumulation between Indica and Japonica rice. Journal of Integrative Plant Biology. 62(3). 314–329. 96 indexed citations
14.
Zhang, Bin, Lianguang Shang, Banpu Ruan, et al.. (2019). Development of Three Sets of High-Throughput Genotyped Rice Chromosome Segment Substitution Lines and QTL Mapping for Eleven Traits. Rice. 12(1). 33–33. 27 indexed citations
15.
Chen, Guang, Chaolei Liu, Zhenyu Gao, et al.. (2017). OsHAK1, a High-Affinity Potassium Transporter, Positively Regulates Responses to Drought Stress in Rice. Frontiers in Plant Science. 8. 1885–1885. 85 indexed citations
16.
Liu, Chaolei, Guang Chen, Yuanyuan Li, et al.. (2017). Characterization of a major QTL for manganese accumulation in rice grain. Scientific Reports. 7(1). 17704–17704. 29 indexed citations
17.
Han, Ke, Chaolei Liu, Cheng Huang, et al.. (2016). Repair Welding of Defects in 2219 Al Alloy Friction Stir Welded Joints. 36(1). 26–32. 1 indexed citations
18.
Peng, Youlin, Zhenyu Gao, Bin Zhang, et al.. (2014). Fine mapping and candidate gene analysis of a major QTL for panicle structure in rice. Plant Cell Reports. 33(11). 1843–1850. 21 indexed citations
19.
Ouyang, Runhai, et al.. (2014). Linkages between ENSO/PDO signals and precipitation, streamflow in China during the last 100 years. Hydrology and earth system sciences. 18(9). 3651–3661. 165 indexed citations
20.
Liu, Chaolei, et al.. (2001). Enhanced Regeneration of Rice (Oryza sativa L.) Embryogenic Callus by Light Irradiation in Growth Phase.. Journal of Bioscience and Bioengineering. 91(3). 319–321. 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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