Shu Yao

641 total citations
47 papers, 495 citations indexed

About

Shu Yao is a scholar working on Plant Science, Genetics and Biomedical Engineering. According to data from OpenAlex, Shu Yao has authored 47 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 19 papers in Genetics and 8 papers in Biomedical Engineering. Recurrent topics in Shu Yao's work include Genetic Mapping and Diversity in Plants and Animals (19 papers), GABA and Rice Research (18 papers) and Rice Cultivation and Yield Improvement (14 papers). Shu Yao is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (19 papers), GABA and Rice Research (18 papers) and Rice Cultivation and Yield Improvement (14 papers). Shu Yao collaborates with scholars based in China, Bangladesh and Japan. Shu Yao's co-authors include Di Fan, Jian Hu, Wanxiang Lu, Chaofeng Li, Lijun Wang, Keming Luo, Lingyu Ran, Qingyong Zhao, Lihui Zhou and Cailin Wang and has published in prestigious journals such as New Phytologist, The Plant Journal and International Journal of Molecular Sciences.

In The Last Decade

Shu Yao

46 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shu Yao China	10	330	246	92	55	53	47	495
Jianmin Wan China	15	659 2.0×	364 1.5×	165 1.8×	91 1.7×	42 0.8×	25	784
Birgitte Skadhauge Denmark	11	245 0.7×	129 0.5×	48 0.5×	57 1.0×	29 0.5×	19	372
Tae‐Ho Ham South Korea	13	556 1.7×	273 1.1×	277 3.0×	83 1.5×	68 1.3×	35	769
Jianping Zhu China	14	354 1.1×	149 0.6×	82 0.9×	103 1.9×	53 1.0×	19	444
Takuji Tonooka Japan	7	330 1.0×	105 0.4×	53 0.6×	82 1.5×	52 1.0×	19	382
Xiaopin Zhu China	12	317 1.0×	144 0.6×	85 0.9×	94 1.7×	51 1.0×	16	400
Wuhua Long China	13	299 0.9×	255 1.0×	44 0.5×	30 0.5×	22 0.4×	16	419
Soon-Wook Kwon South Korea	12	296 0.9×	82 0.3×	137 1.5×	49 0.9×	35 0.7×	27	412
Peizhou Xu China	16	774 2.3×	334 1.4×	109 1.2×	28 0.5×	11 0.2×	48	891
Heebak Choi South Korea	10	592 1.8×	359 1.5×	126 1.4×	15 0.3×	58 1.1×	19	697

Countries citing papers authored by Shu Yao

Since Specialization

Citations

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

Fields of papers citing papers by Shu Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Yao. A scholar is included among the top collaborators of Shu Yao 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 Shu Yao. Shu Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Cheng, Ju Guan, Wenhua Liang, et al.. (2025). OsWRKY72 enhances salt tolerance in rice via SKC1-mediated Na+ regulation. Plant Stress. 17. 100962–100962. 2 indexed citations

Feng, Guoying, Shu Yao, Xun Huang, et al.. (2024). Transcatheter Arterial Chemoembolization Combined with Hepatic Arterial Infusion Chemotherapy Versus Transcatheter Arterial Chemoembolization for Unresectable Hepatocellular Carcinoma: A Systematic Review and Meta-analysis. The Turkish Journal of Gastroenterology. 35(4). 266–279. 1 indexed citations

He, Lei, Ju Guan, Lei Luo, et al.. (2024). Regulation of Yield and Eating and Cooking Quality in Rice Through Seed Albumin OsRAL5. Rice Science. 32(1). 6–10. 1 indexed citations

Lü, Kai, Yadong Zhang, Lei He, et al.. (2024). Adjusting the amylose content of semi-glutinous japonica rice by genome editing of uORF6 in the Wx gene. The Crop Journal. 12(6). 1806–1811. 4 indexed citations

Wang, Xianqiang, Shu Yao, Zhuanzhuan Zhang, et al.. (2022). MicroRNA828 negatively regulates lignin biosynthesis in stem of Populus tomentosa through MYB targets. Tree Physiology. 42(8). 1646–1661. 16 indexed citations

Zhao, Ling, Qingyong Zhao, Zhen Zhu, et al.. (2020). Physicochemical properties and sequence analysis of Wx and OsSSIIa genes in japonica rice cultivars from Jiangsu province and northeast of China. ACTA AGRONOMICA SINICA. 46(6). 878–888. 2 indexed citations

Liu, Chunmei, et al.. (2020). Impact on Oil Flavor and Integrated Quality Under Different Rapeseed Frying Temperatures. 35(3). 67–74. 1 indexed citations

Yao, Shu, et al.. (2020). Effect of baking temperature for fresh peanut kernels on flavor and comprehensive quality of peanut butter.. Shipin Kexue / Food Science. 41(11). 28–35. 2 indexed citations

Zhao, Ling, Qingyong Zhao, Tao Chen, et al.. (2020). Genetic dissection of eating and cooking qualities in different subpopulations of cultivated rice (Oryza sativa L.) through association mapping. BMC Genetics. 21(1). 119–119. 10 indexed citations

10.

Huang, Shuangjie, Lihui Zhou, Ling Zhao, et al.. (2019). Eating quality and physicochemical properties in Nanjing rice varieties.. Zhongguo nongye Kexue. 52(5). 909–920. 13 indexed citations

11.

Smeddinck, Jan David, Rainer Malaka, Shu Yao, et al.. (2019). Wireless non-invasive motion tracking of functional behavior. Pervasive and Mobile Computing. 54. 29–44. 9 indexed citations

12.

Yao, Shu, Lihui Zhou, Tao Chen, et al.. (2016). Amylose Content in Good Eating Quality Rice Under Different Nitrogen Rates and Sowing Dates. Zhongguo shuidao kexue. 30(5). 540. 1 indexed citations

13.

Yao, Shu, et al.. (2014). Establishment and Application of Multiplex PCR System for Two Blast Resistance Genes Pi-ta and Pi-b in Rice. ACTA AGRONOMICA SINICA. 40(9). 1565–1571. 1 indexed citations

14.

Zhang, Yadong, Zhen Zhu, Tao Chen, et al.. (2013). QTL mapping for seedling traits associated with low‐nitrogen tolerance using a set of advanced backcross introgression lines of rice. Plant Breeding. 133(2). 189–195. 15 indexed citations

15.

Chen, Tao, Zhen Zhu, Qingyong Zhao, et al.. (2013). Detection of Wx-mq gene for low-amylose content by tetra-primer amplification refractory mutation system PCR in rice.. Zhongguo shuidao kexue. 27(5). 529–534. 7 indexed citations

16.

Jiang, Hong, et al.. (2013). Laparoscopic Uterine Anastomosis for Traumatic Separation of the Cervix From the Uterine Corpus Caused by Closed Pelvic Fracture: Case Report and Literature Review. Journal of Minimally Invasive Gynecology. 20(2). 244–247. 2 indexed citations

17.

Zhu, Zhen, Yadong Zhang, Tao Chen, et al.. (2012). Study on lodging resistance of japonica rice variety "Nanjing 44".. Guangdong nongye kexue. 24(9). 19–25. 1 indexed citations

18.

Yao, Shu, et al.. (2009). Resistance evaluation and molecular detection of rice stripe disease for twenty-eight Japonica rice varieties in Jiangsu Province.. Jiangsu nongye xuebao. 25(6). 1201–1206. 2 indexed citations

19.

Yao, Shu. (2007). Heterosis of Agronomic and Economic Traits of Cotton Cultivars with High Quality Fiber. Jiangsu nongye xuebao.

20.

Yao, Shu. (2006). Cloning and Characterization of A CC-NBS-LRR Gene in Upland Cotton. Jiangsu nongye xuebao. 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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