Junru Fu

910 total citations
40 papers, 556 citations indexed

About

Junru Fu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Junru Fu has authored 40 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 19 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Junru Fu's work include Rice Cultivation and Yield Improvement (21 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers) and GABA and Rice Research (15 papers). Junru Fu is often cited by papers focused on Rice Cultivation and Yield Improvement (21 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers) and GABA and Rice Research (15 papers). Junru Fu collaborates with scholars based in China and Indonesia. Junru Fu's co-authors include Haohua He, Xiaosong Peng, Linjuan Ouyang, Xiaopeng He, Changlan Zhu, Xiaorong Chen, Lifang Hu, Xiaotang Sun, Jianmin Bian and Jie Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Plant Science.

In The Last Decade

Junru Fu

36 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junru Fu China 15 467 170 141 36 27 40 556
Linjuan Ouyang China 13 385 0.8× 134 0.8× 136 1.0× 17 0.5× 27 1.0× 33 471
Xiaosong Peng China 14 393 0.8× 144 0.8× 153 1.1× 16 0.4× 27 1.0× 35 514
Xiaorong Chen China 16 568 1.2× 149 0.9× 171 1.2× 21 0.6× 24 0.9× 51 696
Changlan Zhu China 13 376 0.8× 173 1.0× 107 0.8× 11 0.3× 24 0.9× 29 424
Xiaotang Sun China 9 269 0.6× 56 0.3× 94 0.7× 13 0.4× 29 1.1× 25 337
Biaolin Hu China 13 498 1.1× 208 1.2× 118 0.8× 16 0.4× 24 0.9× 31 549
Kuaybe Yücebilgili Kurtoğlu Türkiye 7 418 0.9× 33 0.2× 170 1.2× 18 0.5× 13 0.5× 7 504
Yanxiu Du China 14 702 1.5× 159 0.9× 216 1.5× 61 1.7× 4 0.1× 36 773
Shinya Yoshida Japan 12 822 1.8× 481 2.8× 166 1.2× 48 1.3× 16 0.6× 23 962
Langlang Ma China 17 712 1.5× 332 2.0× 220 1.6× 19 0.5× 19 0.7× 50 829

Countries citing papers authored by Junru Fu

Since Specialization
Citations

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

Fields of papers citing papers by Junru Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junru Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Junru Fu. A scholar is included among the top collaborators of Junru Fu 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 Junru Fu. Junru Fu 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.
Yang, Jun, Zhihao Chen, Peng Wang, et al.. (2025). The critical role of OsYTH10 in promoting early flowering of rice under long sunlight. Theoretical and Applied Genetics. 138(10). 256–256. 1 indexed citations
2.
Fu, Junru, Linjuan Ouyang, Lifang Hu, et al.. (2025). Alternative polyadenylation and metabolic profiling in young panicle development of hybrid rice and its parents. Rice. 18(1). 80–80.
3.
Yang, Dewei, Junru Fu, Dahu Zhou, et al.. (2024). Alternative polyadenylation profiles of susceptible and resistant rice (Oryza sativa L.) in response to bacterial leaf blight using RNA-seq. BMC Plant Biology. 24(1). 145–145. 2 indexed citations
4.
Zhou, Dahu, Junru Fu, Linjuan Ouyang, et al.. (2024). Non-targeted GC–MS metabolomics-based differences in Indica rice seeds of different varieties. BMC Plant Biology. 24(1). 519–519. 1 indexed citations
5.
Xu, Feng, Tingting Cai, Jiayu Huang, et al.. (2023). The Relationship between Cadmium-Related Gene Sequence Variations in Rice and Cadmium Accumulation. Agronomy. 13(3). 800–800. 2 indexed citations
6.
Zhou, Xinyi, Jing Hao, Junru Fu, et al.. (2023). Analysis of anthocyanins and total flavonoids content in functional rice and its recombination inbred lines. Frontiers in Plant Science. 14. 1113618–1113618.
7.
Lin, Xiaoli, Yuchun Rao, Linjuan Ouyang, et al.. (2022). A base substitution in OsphyC disturbs its Interaction with OsphyB and affects flowering time and chlorophyll synthesis in rice. BMC Plant Biology. 22(1). 612–612. 2 indexed citations
8.
Xiong, Qiangqiang, Lei Zhong, Jie Du, et al.. (2020). Ribosome profiling reveals the effects of nitrogen application translational regulation of yield recovery after abrupt drought-flood alternation in rice. Plant Physiology and Biochemistry. 155. 42–58. 33 indexed citations
9.
Zhou, Dahu, Ting Li, Yaolong Yang, et al.. (2020). OsPLS4 Is Involved in Cuticular Wax Biosynthesis and Affects Leaf Senescence in Rice. Frontiers in Plant Science. 11. 782–782. 17 indexed citations
10.
Zhang, Guifeng, Changlan Zhu, Xiaosong Peng, et al.. (2018). Characterization of Amylopectin Fine Structure and its Role on Pasting Properties of Starches in Rice (<i>Oryza sativa</i> L.). Food Science and Technology Research. 24(2). 347–354. 3 indexed citations
11.
Chen, Liang, Ghulam Wassan, Changlan Zhu, et al.. (2018). Genome-wide analysis of long non-coding RNAs affecting roots development at an early stage in the rice response to cadmium stress. BMC Genomics. 19(1). 460–460. 66 indexed citations
12.
Yu, Jianfeng, Ghulam Wassan, Changlan Zhu, et al.. (2018). Genetic analysis for the grain number heterosis of a super-hybrid rice WFYT025 combination using RNA-Seq. Rice. 11(1). 37–37. 41 indexed citations
13.
Hu, Lifang, Haohua He, Changlan Zhu, et al.. (2016). Genome-wide identification and phylogenetic analysis of the chalcone synthase gene family in rice. Journal of Plant Research. 130(1). 95–105. 23 indexed citations
14.
Chen, Xiaorong, Changlan Zhu, Xiaosong Peng, et al.. (2015). Effects of nitrogen level and high temperature treatment on yield, SPAD value, and soluble sugar content of early rice Ganxin 203.. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 37(5). 759–764. 1 indexed citations
15.
Yang, Jun, Xiaorong Chen, Changlan Zhu, et al.. (2015). Using RNA-seq to Profile Gene Expression of Spikelet Development in Response to Temperature and Nitrogen during Meiosis in Rice (Oryza sativa L.). PLoS ONE. 10(12). e0145532–e0145532. 15 indexed citations
16.
Yang, Jun, Xiaorong Chen, Changlan Zhu, et al.. (2015). RNA-seq reveals differentially expressed genes of rice (Oryza sativa) spikelet in response to temperature interacting with nitrogen at meiosis stage. BMC Genomics. 16(1). 959–959. 26 indexed citations
17.
Bian, Jianmin, Changlan Zhu, Xiaosong Peng, et al.. (2013). Dynamic QTL detection and analysis of tiller number before and after heading in japonica rice. Australian Journal of Crop Science. 7(8). 1189–1197. 10 indexed citations
18.
Fu, Junru, et al.. (2013). Identification and validation of a new grain weight QTL in rice. Genetics and Molecular Research. 12(4). 5623–5633. 11 indexed citations
19.
Fu, Junru, et al.. (2009). Genetic and correlation analysis of grain characters in three-line hybrid rice.. Agricultural Science and Technology Hunan. 10(2). 77–81.
20.
He, Haohua, et al.. (2005). Breeding of surviving-in-winter lines and surviving-in-winter sterile lines in rice. ACTA AGRICULTURAE UNIVERSITATIS JIANGXIENSIS. 27(5). 659–661. 1 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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