Yijun Meng

2.5k total citations
77 papers, 1.8k citations indexed

About

Yijun Meng is a scholar working on Plant Science, Molecular Biology and Cancer Research. According to data from OpenAlex, Yijun Meng has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Plant Science, 52 papers in Molecular Biology and 14 papers in Cancer Research. Recurrent topics in Yijun Meng's work include Plant Molecular Biology Research (57 papers), Chromosomal and Genetic Variations (21 papers) and RNA modifications and cancer (17 papers). Yijun Meng is often cited by papers focused on Plant Molecular Biology Research (57 papers), Chromosomal and Genetic Variations (21 papers) and RNA modifications and cancer (17 papers). Yijun Meng collaborates with scholars based in China, Japan and United States. Yijun Meng's co-authors include Ming Chen, Chaogang Shao, Huizhong Wang, Xiaoxia Ma, Yongfeng Jin, Dijun Chen, Pin Wu, Zhonghai Tang, Dongliang Yu and Pengcheng Zhu and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Yijun Meng

77 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yijun Meng China 26 1.3k 1.1k 266 115 55 77 1.8k
Maria Kalyna Austria 26 2.1k 1.7× 3.2k 3.0× 137 0.5× 28 0.2× 114 2.1× 37 3.8k
Ji Tian China 31 1.4k 1.0× 1.7k 1.6× 45 0.2× 37 0.3× 18 0.3× 73 2.2k
Rong Zhou China 30 1.6k 1.2× 1.1k 1.0× 245 0.9× 30 0.3× 217 3.9× 81 2.2k
Soo Young Kim South Korea 30 4.4k 3.4× 3.0k 2.9× 111 0.4× 33 0.3× 141 2.6× 64 5.1k
Eric F. Walton New Zealand 19 1.8k 1.4× 1.1k 1.1× 225 0.8× 18 0.2× 50 0.9× 42 2.2k
Rossana Henriques Spain 23 3.7k 2.9× 2.8k 2.6× 71 0.3× 24 0.2× 68 1.2× 32 4.3k
Ying Gao China 24 2.6k 2.0× 2.0k 1.9× 33 0.1× 49 0.4× 135 2.5× 55 3.1k
Moshe Reuveni Israel 21 1.1k 0.8× 1.1k 1.0× 52 0.2× 12 0.1× 31 0.6× 56 1.8k
Chunying Kang China 20 1.7k 1.3× 1.5k 1.4× 67 0.3× 10 0.1× 46 0.8× 40 2.0k

Countries citing papers authored by Yijun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Yijun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yijun Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Yijun Meng. A scholar is included among the top collaborators of Yijun Meng 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 Yijun Meng. Yijun Meng 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.
Meng, Yijun, et al.. (2025). An organ‐specific transcriptome atlas of Curcuma wenyujin : MicroRNAs, phasiRNAs, and metabolic pathways. The Plant Genome. 18(1). e20564–e20564. 1 indexed citations
2.
Ma, Xiaoxia, Xiaomei Wu, Shen Bo, et al.. (2024). Genome‐wide identification of phasiRNAs in Arabidopsis thaliana, and insights into biogenesis, temperature sensitivity, and organ specificity. Plant Cell & Environment. 47(10). 3797–3812. 2 indexed citations
3.
4.
Tang, Zhonghai, Min Xu, Jiahui Cai, et al.. (2019). Transcriptome-wide identification and functional investigation of the RDR2- and DCL3-dependent small RNAs encoded by long non-coding RNAs in Arabidopsis thaliana. Plant Signaling & Behavior. 14(8). 1616518–1616518. 2 indexed citations
5.
Ma, Xiaoxia, Yijun Meng, Pu Wang, et al.. (2019). Bioinformatics-assisted, integrated omics studies on medicinal plants. Briefings in Bioinformatics. 21(6). 1857–1874. 35 indexed citations
6.
Lan, Yu, et al.. (2018). Identification of novel microRNAs in rice ( Oryza sativa) based on the cleavage signals in precursors. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 153(4). 506–513. 1 indexed citations
7.
Yu, Dongliang, et al.. (2018). Classification of Transcription Boundary-Associated RNAs (TBARs) in Animals and Plants. Frontiers in Genetics. 9. 168–168. 11 indexed citations
8.
Lan, Yu, et al.. (2018). Genome-wide identification and characterization of novel microRNAs in seed development of soybean. Bioscience Biotechnology and Biochemistry. 83(2). 233–242. 9 indexed citations
9.
Shi, Yang, Jian Zhang, Shawn Chen, et al.. (2018). A chelicerate-specific burst of nonclassical Dscam diversity. BMC Genomics. 19(1). 66–66. 12 indexed citations
10.
Shen, Chenjia, Tao Sun, Hong Guo, et al.. (2016). Succinyl-proteome profiling of a high taxol containing hybrid Taxus species (Taxus × media) revealed involvement of succinylation in multiple metabolic pathways. Scientific Reports. 6(1). 21764–21764. 41 indexed citations
11.
Shao, Chaogang, et al.. (2015). Identification of novel miRNA-target pairs in rice (Oryza sativa) by a reversed approach.. Plant Omics. 8(1). 62–68. 1 indexed citations
12.
Shao, Chaogang, et al.. (2014). MicroRNA*s in apple (Malus domestica): biological implications obtained from high-throughput sequencing data.. Plant Omics. 7(5). 308–321. 1 indexed citations
13.
Shao, Chaogang, et al.. (2013). Global survey on sequence characteristics of plant microRNA genes: Cis -regulatory SNPs in promoters and microRNA precursors. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 147(2). 445–450. 3 indexed citations
14.
Meng, Yijun, Chaogang Shao, Xiaoxia Ma, & Huizhong Wang. (2013). Introns targeted by plant microRNAs: a possible novel mechanism of gene regulation. Rice. 6(1). 8–8. 40 indexed citations
15.
Shao, Chaogang, et al.. (2012). Characterization of expression patterns of small RNAs among various organs in Arabidopsis and rice based on 454 platform-generated high-throughput sequencing data.. Plant Omics. 5(3). 298–304. 3 indexed citations
16.
Meng, Yijun, Chaogang Shao, Xiaoxia Ma, Huizhong Wang, & Ming Chen. (2012). Expression-Based Functional Investigation of the Organ-Specific MicroRNAs in Arabidopsis. PLoS ONE. 7(11). e50870–e50870. 16 indexed citations
17.
Meng, Yijun, Chaogang Shao, Huizhong Wang, Xiaoxia Ma, & Ming Chen. (2012). Construction of gene regulatory networks mediated by vegetative and reproductive stage‐specific small RNAs in rice (Oryza sativa). New Phytologist. 197(2). 441–453. 13 indexed citations
18.
Chen, Dijun, Yijun Meng, Chunhui Yuan, et al.. (2011). Plant siRNAs from introns mediate DNA methylation of host genes. RNA. 17(6). 1012–1024. 30 indexed citations
19.
Meng, Yijun, Dijun Chen, Yongfeng Jin, et al.. (2010). RNA editing of nuclear transcripts in Arabidopsis thaliana. BMC Genomics. 11(S4). S12–S12. 42 indexed citations
20.
Chen, Ming, et al.. (2010). Epigenetic performers in plants. Development Growth & Differentiation. 52(6). 555–566. 51 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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