Ruixi Han

993 total citations · 2 hit papers
11 papers, 699 citations indexed

About

Ruixi Han is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ruixi Han has authored 11 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Ruixi Han's work include Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant Molecular Biology Research (2 papers) and Rice Cultivation and Yield Improvement (2 papers). Ruixi Han is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant Molecular Biology Research (2 papers) and Rice Cultivation and Yield Improvement (2 papers). Ruixi Han collaborates with scholars based in China. Ruixi Han's co-authors include Kun Wu, Shuansuo Wang, Xiangdong Fu, Qian Liu, Yafeng Ye, Yuejin Wu, Meng Zhao, Jiawu Zhou, Yuejin Wu and Ya‐Jun Pan and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Ruixi Han

11 papers receiving 686 citations

Hit Papers

Heterotrimeric G proteins regulate nitrogen-use efficienc... 2014 2026 2018 2022 2014 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruixi Han China 6 633 346 169 35 26 11 699
Dejun Yuan China 6 391 0.6× 186 0.5× 158 0.9× 22 0.6× 23 0.9× 6 453
Qingbo Yuan China 8 1.4k 2.1× 819 2.4× 356 2.1× 65 1.9× 34 1.3× 11 1.4k
Nathalie Rivière France 9 734 1.2× 242 0.7× 213 1.3× 80 2.3× 11 0.4× 12 823
Yongcai Fu China 16 1.1k 1.7× 668 1.9× 223 1.3× 41 1.2× 26 1.0× 33 1.1k
Zhongming Fang China 9 799 1.3× 92 0.3× 253 1.5× 24 0.7× 22 0.8× 28 839
Carole Confolent France 10 462 0.7× 104 0.3× 153 0.9× 51 1.5× 45 1.7× 12 501
Yuanchao Xu China 12 433 0.7× 232 0.7× 302 1.8× 9 0.3× 15 0.6× 27 607
Jinqiang Nian China 9 459 0.7× 86 0.2× 166 1.0× 33 0.9× 7 0.3× 10 493
B. P. Singh India 9 530 0.8× 189 0.5× 148 0.9× 29 0.8× 17 0.7× 45 623
Pasquale Luca Curci Italy 11 326 0.5× 59 0.2× 165 1.0× 36 1.0× 15 0.6× 19 428

Countries citing papers authored by Ruixi Han

Since Specialization
Citations

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

Fields of papers citing papers by Ruixi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruixi Han

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

All Works

11 of 11 papers shown
1.
Zhang, Meiyan, Li Ren, Yiying Zhang, et al.. (2024). Investigation of Sample Size Estimation for Measuring Quantitative Characteristics in DUS Testing of Shiitake Mushrooms. Agronomy. 14(6). 1130–1130. 3 indexed citations
2.
Hou, Denglu, Chen-Yu Wang, Zhikang Li, et al.. (2024). Strong Source and Fluent Flow May Increase Grain Weight and Yield in Water‐Saving and Drought‐Resistance Rice: A 5‐Year Field Study. Journal of Agronomy and Crop Science. 211(1). 1 indexed citations
4.
Wang, Liyuan, Han Zhang, Hui Wang, et al.. (2023). Genetic characterization of cotton varieties and genetic threshold value determination for similar variety selection in cotton DUS testing. Genetic Resources and Crop Evolution. 70(8). 2463–2477. 5 indexed citations
5.
Zhao, Hong, Jingli Zhang, Ying Li, et al.. (2023). SSR marker based analysis for identification and of genetic diversity of non-heading Chinese cabbage varieties. Frontiers in Plant Science. 14. 1112748–1112748. 20 indexed citations
6.
Yang, Jianjun, Jian Zhang, Ruixi Han, et al.. (2019). Target SSR-Seq: A Novel SSR Genotyping Technology Associate With Perfect SSRs in Genetic Analysis of Cucumber Varieties. Frontiers in Plant Science. 10. 531–531. 46 indexed citations
7.
Liu, Qian, Ruixi Han, Kun Wu, et al.. (2018). G-protein βγ subunits determine grain size through interaction with MADS-domain transcription factors in rice. Nature Communications. 9(1). 852–852. 255 indexed citations breakdown →
8.
Zhao, Meng, Binmei Liu, Kun Wu, et al.. (2015). Regulation of OsmiR156h through Alternative Polyadenylation Improves Grain Yield in Rice. PLoS ONE. 10(5). e0126154–e0126154. 27 indexed citations
9.
Jiang, Ruirui, et al.. (2015). Identification of single nucleotide polymorphisms in the ASB15 gene and their associations with chicken growth and carcass traits. Genetics and Molecular Research. 14(3). 11377–11388. 6 indexed citations
10.
Sun, Hongying, Qian Qian, Kun Wu, et al.. (2014). Heterotrimeric G proteins regulate nitrogen-use efficiency in rice. Nature Genetics. 46(6). 652–656. 331 indexed citations breakdown →
11.
Wei, Yuanyuan, et al.. (2012). Two novel SNPs of the 3-hydroxy-3-methylglutaryl coenzyme A reductase gene associated with growth and meat quality traits in the chicken. Genetics and Molecular Research. 11(AOP). 4765–74. 4 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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