Yunjun Liu

3.3k total citations · 1 hit paper
59 papers, 2.2k citations indexed

About

Yunjun Liu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Yunjun Liu has authored 59 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 37 papers in Plant Science and 9 papers in Genetics. Recurrent topics in Yunjun Liu's work include Plant Molecular Biology Research (15 papers), Plant nutrient uptake and metabolism (9 papers) and Insect Resistance and Genetics (9 papers). Yunjun Liu is often cited by papers focused on Plant Molecular Biology Research (15 papers), Plant nutrient uptake and metabolism (9 papers) and Insect Resistance and Genetics (9 papers). Yunjun Liu collaborates with scholars based in China, United States and Sweden. Yunjun Liu's co-authors include Guoying Wang, Junjie Fu, Jun Zheng, Yuan Yuan, Guoying Wang, Jinyang Zhao, Yingjia Han, Zhiyu Peng, Xiaomin Hao and Pan Zhang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Yunjun Liu

56 papers receiving 2.1k citations

Hit Papers

Genome-wide association study dissects the genetic archit... 2012 2026 2016 2021 2012 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels
    2012 613 citations Hui Li, Zhiyu Peng et al. Nature Genetics profile →

Peers

Yunjun Liu
Laura Rossini Italy
Nai‐Qian Dong China
Wolfgang Friedt Germany
Guusje Bonnema Netherlands
Rongxin Shen China
Andrew Baumgarten United States
Satoshi Natsume Japan
Sateesh Kagale Canada
Rohini Garg India
Chuanyin Wu China
Laura Rossini Italy
Yunjun Liu
Citations per year, relative to Yunjun Liu Yunjun Liu (= 1×) peers Laura Rossini

Countries citing papers authored by Yunjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yunjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunjun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yunjun Liu. A scholar is included among the top collaborators of Yunjun 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 Yunjun Liu. Yunjun 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.
2.
Liu, Yunjun, et al.. (2023). Identification of EDNRA as the Key Biomarker for Hypercholesterolemia and Colorectal Cancer. The Tohoku Journal of Experimental Medicine. 262(3). 181–189.
3.
Zhang, Jie, Yan Liu, Junjie Fu, et al.. (2023). Tetratricopeptide-containing SMALL KERNEL 11 is essential for the assembly of cytochrome c oxidase in maize mitochondria. PLANT PHYSIOLOGY. 192(1). 170–187. 4 indexed citations
4.
Guo, Yingmei, Jie Zhang, Nannan Zheng, et al.. (2023). RNA polymerase common subunit ZmRPABC5b is transcriptionally activated by Opaque2 and essential for endosperm development in maize. Nucleic Acids Research. 51(15). 7832–7850. 2 indexed citations
5.
6.
Zhang, Xiaofeng, Yan Liu, Junjie Fu, et al.. (2021). The pentatricopeptide repeat protein EMP603 is required for the splicing of mitochondrialNad1intron 2 and seed development in maize. Journal of Experimental Botany. 72(20). 6933–6948. 15 indexed citations
7.
Zhang, Jiaojiao, Xiaofeng Zhang, Rongrong Chen, et al.. (2020). Generation of Transgene-Free Semidwarf Maize Plants by Gene Editing of Gibberellin-Oxidase20-3 Using CRISPR/Cas9. Frontiers in Plant Science. 11. 1048–1048. 36 indexed citations
8.
Wu, Jia, Jiale Li, Yuan Yuan, et al.. (2019). Cell Membrane-Interrupting Antimicrobial Peptides from Isatis indigotica Fortune Isolated by a Bacillus subtilis Expression System. Biomolecules. 10(1). 30–30. 26 indexed citations
9.
Du, Xuemei, Ting Fang, Yan Liu, et al.. (2019). Transcriptome Profiling Predicts New Genes to Promote Maize Callus Formation and Transformation. Frontiers in Plant Science. 10. 1633–1633. 31 indexed citations
10.
Chen, Rongrong, Qilong Xu, Yan Liu, et al.. (2018). Generation of Transgene-Free Maize Male Sterile Lines Using the CRISPR/Cas9 System. Frontiers in Plant Science. 9. 55 indexed citations
11.
Zhang, Hongwei, Xi Wang, Qingchun Pan, et al.. (2018). QTG-Seq Accelerates QTL Fine Mapping through QTL Partitioning and Whole-Genome Sequencing of Bulked Segregant Samples. Molecular Plant. 12(3). 426–437. 78 indexed citations
12.
Chen, Yan, Jiankun Li, Jing Xu, et al.. (2017). Mutations in the maize zeta-carotene desaturase gene lead to viviparous kernel. PLoS ONE. 12(3). e0174270–e0174270. 13 indexed citations
13.
Liu, Yan, et al.. (2017). Transcriptome Analysis of Maize Immature Embryos Reveals the Roles of Cysteine in Improving Agrobacterium Infection Efficiency. Frontiers in Plant Science. 8. 1778–1778. 12 indexed citations
14.
Li, Jiankun, Junjie Fu, Yan Chen, et al.. (2016). The U6 Biogenesis-Like 1 Plays an Important Role in Maize Kernel and Seedling Development by Affecting the 3′ End Processing of U6 snRNA. Molecular Plant. 10(3). 470–482. 29 indexed citations
15.
Guo, Jingfei, Kanglai He, Richard L. Hellmich, et al.. (2016). Field trials to evaluate the effects of transgenic cry1Ie maize on the community characteristics of arthropod natural enemies. Scientific Reports. 6(1). 22102–22102. 37 indexed citations
16.
Guo, Jingfei, Kanglai He, Shuxiong Bai, et al.. (2016). Effects of transgenic cry1Ie maize on non-lepidopteran pest abundance, diversity and community composition. Transgenic Research. 25(6). 761–772. 10 indexed citations
17.
Li, Hui, Zhiyu Peng, Xiaohong Yang, et al.. (2012). Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels. Nature Genetics. 45(1). 43–50. 613 indexed citations breakdown →
18.
Wang, Bo, Jun Zheng, Yunjun Liu, Jianhua Wang, & Guoying Wang. (2012). Cloning and characterization of the stress-induced bZIP gene ZmbZIP60 from maize. Molecular Biology Reports. 39(5). 6319–6327. 19 indexed citations
19.
Yuan, Yuan, Yunjun Liu, & Tao Wang. (2004). A New Cre/lox System for Deletion of Selectable Marker Gene. Journal of Integrative Plant Biology. 46(7). 862–866. 10 indexed citations
20.
Liu, Yunjun, Yuan Yuan, Jun Zheng, et al.. (2004). Signal Peptide of Potato PinII Enhances the Expression of <italic>Cry1Ac</italic> in Transgenic Tobacco. Acta Biochimica et Biophysica Sinica. 36(8). 553–558. 8 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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