Zhenyu Gao

8.4k total citations · 2 hit papers
167 papers, 5.5k citations indexed

About

Zhenyu Gao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Zhenyu Gao has authored 167 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Plant Science, 62 papers in Molecular Biology and 52 papers in Genetics. Recurrent topics in Zhenyu Gao's work include Genetic Mapping and Diversity in Plants and Animals (52 papers), Plant Molecular Biology Research (36 papers) and Rice Cultivation and Yield Improvement (32 papers). Zhenyu Gao is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (52 papers), Plant Molecular Biology Research (36 papers) and Rice Cultivation and Yield Improvement (32 papers). Zhenyu Gao collaborates with scholars based in China, United States and Japan. Zhenyu Gao's co-authors include Qian Qian, Dali Zeng, Longbiao Guo, Jiang Hu, Guojun Dong, Li Zhu, Guangheng Zhang, Mingyuan Gao, Wensheng Yang and Deyong Ren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Zhenyu Gao

160 papers receiving 5.5k citations

Hit Papers

Allelic diversities in ri... 2009 2026 2014 2020 2009 2017 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhenyu Gao 3.8k 1.6k 1.5k 763 633 167 5.5k
Chunming Liu 6.4k 1.7× 5.0k 3.2× 769 0.5× 476 0.6× 861 1.4× 232 10.5k
Yihua Zhou 4.2k 1.1× 3.2k 2.1× 757 0.5× 803 1.1× 55 0.1× 143 6.9k
Xiaoying Liu 1.9k 0.5× 2.2k 1.4× 133 0.1× 634 0.8× 369 0.6× 213 5.2k
Rong Zhou 2.6k 0.7× 1.8k 1.2× 436 0.3× 220 0.3× 230 0.4× 248 5.3k
Guangyuan He 4.5k 1.2× 3.3k 2.1× 284 0.2× 221 0.3× 108 0.2× 196 7.0k
Xin Liu 3.0k 0.8× 2.2k 1.4× 212 0.1× 334 0.4× 114 0.2× 207 4.7k
Toshiaki Mitsui 2.9k 0.8× 1.8k 1.2× 203 0.1× 362 0.5× 226 0.4× 176 4.6k
Zhensheng Li 2.4k 0.6× 824 0.5× 366 0.2× 990 1.3× 679 1.1× 149 4.4k
Donald Becker 1.3k 0.4× 2.5k 1.6× 396 0.3× 189 0.2× 1.0k 1.6× 100 4.6k
Yupeng Wang 4.0k 1.1× 4.0k 2.5× 659 0.4× 363 0.5× 211 0.3× 60 6.8k

Countries citing papers authored by Zhenyu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Gao. A scholar is included among the top collaborators of Zhenyu Gao 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 Zhenyu Gao. Zhenyu Gao 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, Ruoxi, et al.. (2025). Decoupled Vector Processing Unit: Past, Present, and Future. Journal of Computer Science and Technology. 40(5). 1368–1385.
2.
Du, Lin, Xin Liu, Markus Geisler, et al.. (2025). The OsbHLH166-OsABCB4 module regulates grain length and weight via altering auxin efflux. Science Bulletin. 70(13). 2125–2136. 1 indexed citations
3.
Wu, Yuchen, Dongdong Wang, Jie Zhao, et al.. (2024). NRAV promoted the malignant progression of gastric cancer. Gene. 937. 149134–149134.
4.
Zhang, Lei, Jingwei Yu, Zhenyu Gao, & Qin Ni. (2024). A multi-channel hybrid deep learning framework for multi-sensor fusion enabled human activity recognition. Alexandria Engineering Journal. 91. 472–485. 20 indexed citations
6.
Liu, Jianguo, Guojun Dong, Yuyu Chen, et al.. (2024). Improving Rice Quality by Regulating the Heading Dates of Rice Varieties without Yield Penalties. Plants. 13(16). 2221–2221. 2 indexed citations
7.
Gao, Zhenyu, Jinyue Chen, Guoqiang Wang, et al.. (2023). A novel multivariate time series prediction of crucial water quality parameters with Long Short-Term Memory (LSTM) networks. Journal of Contaminant Hydrology. 259. 104262–104262. 35 indexed citations
8.
Yang, Shenglong, Banpu Ruan, Anpeng Zhang, et al.. (2023). Identification of Thermo-Sensitive Chloroplast Development Gene TSCD5 Required for Rice Chloroplast Development under High Temperature. Agriculture. 13(3). 563–563. 3 indexed citations
9.
Wu, Yunrong, Zhenyu Gao, Dongming Li, et al.. (2021). Primary root and root hair development regulation by OsAUX4 and its participation in the phosphate starvation response. Journal of Integrative Plant Biology. 63(8). 1555–1567. 26 indexed citations
10.
Liu, He, Yuanjiang Cui, Haiping Yu, et al.. (2021). UDP‐N‐acetylglucosamine pyrophosphorylase enhances rice survival at high temperature. New Phytologist. 233(1). 344–359. 30 indexed citations
11.
Hu, Peng, Yi Wen, Yueying Wang, et al.. (2021). Identification and Characterization of Short Crown Root 8, a Temperature-Sensitive Mutant Associated with Crown Root Development in Rice. International Journal of Molecular Sciences. 22(18). 9868–9868. 4 indexed citations
12.
Lv, Yang, Lianguang Shang, Guoyou Ye, et al.. (2021). Transcriptomic Analysis of Short-Term Salt-Stress Response in Mega Hybrid Rice Seedlings. Agronomy. 11(7). 1328–1328. 10 indexed citations
13.
Zhang, Guangheng, Xin Hou, Jing Xu, et al.. (2020). PHOTO‐SENSITIVE LEAF ROLLING 1 encodes a polygalacturonase that modifies cell wall structure and drought tolerance in rice. New Phytologist. 229(2). 890–901. 50 indexed citations
14.
Ruan, Banpu, Lianguang Shang, Bin Zhang, et al.. (2020). Natural variation in the promoter of TGW2 determines grain width and weight in rice. New Phytologist. 227(2). 629–640. 110 indexed citations
15.
Gao, Zhenyu, Yufeng Wang, Guang Chen, et al.. (2019). The indica nitrate reductase gene OsNR2 allele enhances rice yield potential and nitrogen use efficiency. Nature Communications. 10(1). 5207–5207. 202 indexed citations
16.
Chen, Guang, Zhenyu Gao, & Guohua Xu. (2017). Adaption of Plants to Potassium Deficiency and Strategies to Improve Potassium Use Efficiency. Chinese Bulletin of Botany. 52(1). 89. 1 indexed citations
17.
Nian, Jinqiang, Jiang Hu, Zhenyu Gao, et al.. (2011). Mapping and genetic analysis of quantitative trait loci for related traits of cooked rice.. Zhongguo shuidao kexue. 25(5). 475–482. 4 indexed citations
18.
Wu, Liwen, Jiang Hu, Xingming Hu, et al.. (2009). Genetic analysis and fine-mapping of a leafy head 3 mutant in rice.. Zhongguo shuidao kexue. 23(6). 583–588. 1 indexed citations
19.
Hu, Jiang, Guangheng Zhang, Guojun Dong, et al.. (2009). Genetic analysis and gene mapping of a new mutant of dwarf and disproportionate uppermost-internode1 (ddu1) in rice.. Zhongguo shuidao kexue. 23(3). 252–256. 2 indexed citations
20.
Guo, Longbiao, Dawei Xue, Huizhong Wang, et al.. (2006). Improvement of Rice Salt-Tolerance by Using an Integrated Method of Gene Transformation and Traditional Breeding. Zhongguo shuidao kexue. 20(2). 141–146. 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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