Yeyun Xin

1.5k total citations
15 papers, 694 citations indexed

About

Yeyun Xin is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Yeyun Xin has authored 15 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 8 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Yeyun Xin's work include Rice Cultivation and Yield Improvement (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and GABA and Rice Research (5 papers). Yeyun Xin is often cited by papers focused on Rice Cultivation and Yield Improvement (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and GABA and Rice Research (5 papers). Yeyun Xin collaborates with scholars based in China, United States and Bangladesh. Yeyun Xin's co-authors include Longping Yuan, Dingyang Yuan, Ling Jiang, Haiyang Wang, Chunyan Yang, Meijuan Duan, Peizheng Wen, Zijie Shen, Jie Huang and Daoming Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Yeyun Xin

13 papers receiving 677 citations

Peers

Yeyun Xin
Tong Geon Lee United States
Hugues Barbier United States
Mi‐Ok Woo South Korea
Kerry Swartwood United States
Jafar Mammadov United States
Tong Geon Lee United States
Yeyun Xin
Citations per year, relative to Yeyun Xin Yeyun Xin (= 1×) peers Tong Geon Lee

Countries citing papers authored by Yeyun Xin

Since Specialization
Citations

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

Fields of papers citing papers by Yeyun Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeyun Xin

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

All Works

15 of 15 papers shown
1.
Xin, Yeyun, et al.. (2023). Yuan Longping, a great world hunger fighter. Plant Breeding. 143(1). 83–85. 1 indexed citations
2.
He, Zhizhou, Yeyun Xin, Zhi Ping Xu, et al.. (2022). Genomics-Assisted Improvement of Super High-Yield Hybrid Rice Variety “Super 1000” for Resistance to Bacterial Blight and Blast Diseases. Frontiers in Plant Science. 13. 881244–881244. 7 indexed citations
4.
Zhang, Fan, et al.. (2021). Yuan Longping and Hybrid Rice Research. Rice. 14(1). 101–101. 12 indexed citations
5.
Huang, Zhiyuan, Qiming Lv, Md. Amir Hossain, et al.. (2021). Low fertilizer inputs do not adversely affect yield or performance of Indica hybrid rice. Scientia Agricola. 79(4).
6.
Zheng, Xiaohong, Yeyun Xin, Ning Zhang, et al.. (2020). Lipidomic analyses reveal enhanced lipolysis in planthoppers feeding on resistant host plants. Science China Life Sciences. 64(9). 1502–1521. 18 indexed citations
7.
Huang, Zhiyuan, Qiming Lv, Yeyun Xin, et al.. (2020). Heterotic performance of the main yield traits in different types of Indica hybrid rice. Food and Energy Security. 9(3). 6 indexed citations
8.
Mao, Donghai, Yeyun Xin, Yongjun Tan, et al.. (2019). Natural variation in the HAN1 gene confers chilling tolerance in rice and allowed adaptation to a temperate climate. Proceedings of the National Academy of Sciences. 116(9). 3494–3501. 155 indexed citations
9.
He, Jun, Yuqiang Liu, Dingyang Yuan, et al.. (2019). An R2R3 MYB transcription factor confers brown planthopper resistance by regulating the phenylalanine ammonia-lyase pathway in rice. Proceedings of the National Academy of Sciences. 117(1). 271–277. 226 indexed citations
10.
Lv, Qiming, Zhiyuan Huang, Xiao Xu, et al.. (2017). Allelic variation of the rice blast resistance gene Pid3 in cultivated rice worldwide. Scientific Reports. 7(1). 10362–10362. 12 indexed citations
11.
Deng, Xiangyang, et al.. (2017). Transgenic rice expressing a novel phytase-lactoferricin fusion gene to improve phosphorus availability and antibacterial activity. Journal of Integrative Agriculture. 16(4). 774–788. 4 indexed citations
12.
Huang, Zhiyuan, et al.. (2015). Heterosis Expression of Hybrid Rice in Natural- and Short-Day Length Conditions. Rice Science. 22(2). 81–88. 5 indexed citations
13.
Gao, He, Mingna Jin, Jun Chen, et al.. (2014). Days to heading 7 , a major quantitative locus determining photoperiod sensitivity and regional adaptation in rice. Proceedings of the National Academy of Sciences. 111(46). 16337–16342. 229 indexed citations
14.
Li, Jiming, et al.. (2009). Pushing the yield frontier: hybrid rice in China.. IFPRI E-brary (International Food Policy Research Institute). 77–82. 1 indexed citations
15.
Xin, Yeyun, et al.. (2005). Identification and Purity Test of Super Hybrid Rice with SSR Molecular Markers. Rice Science. 12(1). 95–100. 10 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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