Binying Fu

7.0k total citations
72 papers, 3.6k citations indexed

About

Binying Fu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Binying Fu has authored 72 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Plant Science, 29 papers in Genetics and 21 papers in Molecular Biology. Recurrent topics in Binying Fu's work include Rice Cultivation and Yield Improvement (30 papers), Genetic Mapping and Diversity in Plants and Animals (28 papers) and Plant Stress Responses and Tolerance (21 papers). Binying Fu is often cited by papers focused on Rice Cultivation and Yield Improvement (30 papers), Genetic Mapping and Diversity in Plants and Animals (28 papers) and Plant Stress Responses and Tolerance (21 papers). Binying Fu collaborates with scholars based in China, Philippines and United States. Binying Fu's co-authors include Zhikang Li, Xiuqin Zhao, Wensheng Wang, Li Zhu, Yajiao Pan, Jianlong Xu, Liyu Huang, Jauhar Ali, Qifa Zhang and Jeffrey L. Bennetzen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and PLoS ONE.

In The Last Decade

Binying Fu

70 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binying Fu China 31 3.3k 1.0k 910 145 115 72 3.6k
Jiuyou Tang China 23 3.1k 0.9× 1.3k 1.3× 586 0.6× 124 0.9× 72 0.6× 30 3.4k
Kishor Gaikwad India 28 2.4k 0.7× 945 0.9× 582 0.6× 101 0.7× 144 1.3× 130 2.8k
Chenwu Xu China 27 2.2k 0.7× 744 0.7× 1.0k 1.1× 182 1.3× 79 0.7× 119 2.5k
Deyong Ren China 31 2.3k 0.7× 1.2k 1.2× 710 0.8× 77 0.5× 67 0.6× 105 2.6k
Kiyosumi Hori Japan 28 2.5k 0.8× 564 0.5× 1.3k 1.5× 149 1.0× 72 0.6× 54 2.7k
Shuji Yokoi Japan 23 4.9k 1.5× 2.8k 2.7× 1.1k 1.2× 128 0.9× 171 1.5× 53 5.3k
Jinjie Li China 30 2.7k 0.8× 1.0k 1.0× 1.1k 1.2× 129 0.9× 54 0.5× 73 3.0k
Andrea Gallavotti United States 28 3.9k 1.2× 2.8k 2.7× 770 0.8× 169 1.2× 115 1.0× 47 4.5k
Jie‐Yun Zhuang China 26 2.9k 0.9× 490 0.5× 1.9k 2.1× 121 0.8× 94 0.8× 96 3.0k
Caifu Jiang China 28 3.3k 1.0× 1.5k 1.4× 293 0.3× 158 1.1× 79 0.7× 46 3.7k

Countries citing papers authored by Binying Fu

Since Specialization
Citations

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

Fields of papers citing papers by Binying Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binying Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Binying Fu. A scholar is included among the top collaborators of Binying 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 Binying Fu. Binying 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.
Wang, Shanwen, Yong Zhao, Xiaoyu Chu, et al.. (2025). Multi‐Omics insights into OsZFP252 ‐ OsGA20ox5 mediated drought tolerance in rice through stomatal and vascular regulation. The Plant Journal. 123(6). e70497–e70497.
2.
Yin, Ming, Juan Wang, Xiuqin Zhao, et al.. (2025). Epitranscriptome profiles reveal participation of the RNA methyltransferase gene OsMTA1 in rice seed germination and salt stress response. BMC Plant Biology. 25(1). 115–115. 6 indexed citations
3.
Yin, Ming, Yanfang Wang, Xiuqin Zhao, et al.. (2024). Impact of Abiotic Stress on Rice and the Role of DNA Methylation in Stress Response Mechanisms. Plants. 13(19). 2700–2700. 13 indexed citations
4.
5.
Wang, Yanru, Jing Jiang, Siyu Miao, et al.. (2023). Multi-Omics Analysis Reveals the Regulatory and Metabolic Mechanisms Underlying Low-Nitrogen Tolerance at the Flowering Stage in Rice. Agronomy. 13(2). 578–578. 5 indexed citations
6.
Du, Fengping, Yinxiao Wang, Juan Wang, et al.. (2023). The basic helix‐loop‐helix transcription factor gene, OsbHLH38, plays a key role in controlling rice salt tolerance. Journal of Integrative Plant Biology. 65(8). 1859–1873. 35 indexed citations
7.
Xie, Ziyan, Juan Wang, Wensheng Wang, et al.. (2021). Integrated Analysis of the Transcriptome and Metabolome Revealed the Molecular Mechanisms Underlying the Enhanced Salt Tolerance of Rice Due to the Application of Exogenous Melatonin. Frontiers in Plant Science. 11. 618680–618680. 65 indexed citations
8.
Wang, Yinxiao, Juan Wang, Xiuqin Zhao, et al.. (2020). Overexpression of the Transcription Factor Gene OsSTAP1 Increases Salt Tolerance in Rice. Rice. 13(1). 50–50. 37 indexed citations
9.
Hu, Zhiqiang, Wensheng Wang, Zhichao Wu, et al.. (2018). Novel sequences, structural variations and gene presence variations of Asian cultivated rice. Scientific Data. 5(1). 180079–180079. 11 indexed citations
10.
Xiong, Haiyan, Jianping Yu, Jinli Miao, et al.. (2018). Natural Variation in OsLG3 Increases Drought Tolerance in Rice by Inducing ROS Scavenging. PLANT PHYSIOLOGY. 178(1). 451–467. 125 indexed citations
11.
Zhang, Ting, Liyu Huang, Yinxiao Wang, et al.. (2017). Differential transcriptome profiling of chilling stress response between shoots and rhizomes of Oryza longistaminata using RNA sequencing. PLoS ONE. 12(11). e0188625–e0188625. 24 indexed citations
12.
Wang, Wensheng, Fei Huang, Qin Qiao, et al.. (2015). Comparative analysis of DNA methylation changes in two rice genotypes under salt stress and subsequent recovery. Biochemical and Biophysical Research Communications. 465(4). 790–796. 65 indexed citations
13.
Wang, Wensheng, Xiuqin Zhao, Min Li, et al.. (2015). Complex molecular mechanisms underlying seedling salt tolerance in rice revealed by comparative transcriptome and metabolomic profiling. Journal of Experimental Botany. 67(1). 405–419. 108 indexed citations
14.
Zhao, Xiuqin, et al.. (2014). Comparative Metabolite Profiling of Two Rice Genotypes with Contrasting Salt Stress Tolerance at the Seedling Stage. PLoS ONE. 9(9). e108020–e108020. 94 indexed citations
15.
Zhao, Xiuqin, Wensheng Wang, Fan Zhang, et al.. (2013). Temporal profiling of primary metabolites under chilling stress and its association with seedling chilling tolerance of rice (Oryza sativa L.). Rice. 6(1). 23–23. 29 indexed citations
16.
Zhang, Ting, Xiuqin Zhao, Wensheng Wang, et al.. (2012). Comparative Transcriptome Profiling of Chilling Stress Responsiveness in Two Contrasting Rice Genotypes. PLoS ONE. 7(8). e43274–e43274. 123 indexed citations
17.
Wang, Di, Yajiao Pan, Xiuqin Zhao, et al.. (2011). Genome-wide temporal-spatial gene expression profiling of drought responsiveness in rice. BMC Genomics. 12(1). 149–149. 177 indexed citations
18.
Fu, Binying, et al.. (2010). Proteomic analysis of PEG-simulated drought stress-responsive proteins of rice leaves using a pyramiding rice line at the seedling stage.. Botanical studies. 51(2). 137–145. 21 indexed citations
19.
20.
Wang, Wensheng, Yajiao Pan, Xiuqin Zhao, et al.. (2010). Drought-induced site-specific DNA methylation and its association with drought tolerance in rice (Oryza sativa L.). Journal of Experimental Botany. 62(6). 1951–1960. 305 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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