Yijun Meng

2.5k citations
77 papers · 1.8k indexed · h-index 26
Topics
Plant Molecular Biology Research (57 papers)Chromosomal and Genetic Variations (21 papers)RNA modifications and cancer (17 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Yijun Meng

77 papers receiving 1.8k citations

Peers

Yijun Meng
Comparison fields: 5 of 91
  • Plant Science 1.3k
  • Molecular Biology 1.1k
  • Cancer Research 266
  • Pharmacology 115
  • Genetics 55
Replace Rong Zhou with:
Rong Zhou China
Soo Young Kim South Korea
Maria Kalyna Austria
Ji Tian China
Paula Elomaa Finland
Ying Gao China
Rossana Henriques Spain
Eric F. Walton New Zealand
Doris Lucyshyn Austria
Yijun Meng relative to Rong Zhou China Rong Zhou's profile →
Citations per field
00.5×3.8×
Rong Zhou · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 2
3 1
4 13
5 1
6 11
7 15
8
Identification of novel miRNA-target pairs in rice (Oryza sativa) by a reversed approach.
1
9
MicroRNA*s in apple (Malus domestica): biological implications obtained from high-throughput sequencing data.
1
10 3
11
Characterization of expression patterns of small RNAs among various organs in Arabidopsis and rice based on 454 platform-generated high-throughput sequencing data.
3
12 16
13 49
14 30
15 54
16 42
17 48
18 39
19 124
20 70

About Yijun Meng

Yijun Meng is a scholar working on Plant Science, Cancer Research and Molecular Biology, having authored 77 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (57 papers), Chromosomal and Genetic Variations (21 papers) and RNA modifications and cancer (17 papers). The work is most often cited by research in Plant Science (1.3k citations), Cancer Research (266 citations) and Molecular Biology (1.1k citations). Yijun Meng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ming Chen, Chaogang Shao, Huizhong Wang, Xiaoxia Ma, Yongfeng Jin, Dijun Chen, Pin Wu, Zhonghai Tang, Dongliang Yu and Pengcheng Zhu. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.

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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