Xiqin Fu

1.3k total citations · 1 hit paper
14 papers, 557 citations indexed

About

Xiqin Fu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Xiqin Fu has authored 14 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 8 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Xiqin Fu's work include Plant Molecular Biology Research (4 papers), Plant Reproductive Biology (4 papers) and Plant tissue culture and regeneration (4 papers). Xiqin Fu is often cited by papers focused on Plant Molecular Biology Research (4 papers), Plant Reproductive Biology (4 papers) and Plant tissue culture and regeneration (4 papers). Xiqin Fu collaborates with scholars based in China and United States. Xiqin Fu's co-authors include Qiming Lv, Weiping Wang, Li Tang, Liping Zhang, Xiongfeng Zeng, Caiyan Chen, Hanjie He, Yan Peng, Hongqing Li and Yuanyi Hu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Experimental Botany.

In The Last Decade

Xiqin Fu

14 papers receiving 551 citations

Hit Papers

Knockout of OsNramp5 using the CRISPR/Cas9 system produce... 2017 2026 2020 2023 2017 100 200 300

Peers

Xiqin Fu
Xiqin Fu
Citations per year, relative to Xiqin Fu Xiqin Fu (= 1×) peers Sun Zongxiu

Countries citing papers authored by Xiqin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiqin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiqin Fu

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

All Works

14 of 14 papers shown
1.
Xing, Junjie, Long Wang, Yue Liu, et al.. (2020). Mutations of two FERONIA-like receptor genes enhance rice blast resistance without growth penalty. Journal of Experimental Botany. 71(6). 2112–2126. 51 indexed citations
2.
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
3.
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
5.
Deng, Xiangyang, et al.. (2018). Characteristic analysis of tetra-resistant genetically modified rice. Journal of Integrative Agriculture. 17(3). 493–506. 5 indexed citations
6.
Tang, Li, Bigang Mao, Yaokui Li, et al.. (2017). Knockout of OsNramp5 using the CRISPR/Cas9 system produces low Cd-accumulating indica rice without compromising yield. Scientific Reports. 7(1). 14438–14438. 360 indexed citations breakdown →
7.
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
8.
Song, Shufeng, et al.. (2017). Overexpression of gene OsSUI1 affects floral organ development in rice (Oryza sativa L.). Molecular Breeding. 38(1). 2 indexed citations
9.
Li, Li, Yixing Li, Shufeng Song, et al.. (2014). An anther development F-box (ADF) protein regulated by tapetum degeneration retardation (TDR) controls rice anther development. Planta. 241(1). 157–166. 27 indexed citations
10.
Liu, Wenqiang, Tingting Lu, Yongchao Li, et al.. (2014). Mapping of quantitative trait loci for cold tolerance at the early seedling stage in landrace rice Xiang 743. Euphytica. 201(3). 401–409. 9 indexed citations
11.
Song, Shufeng, et al.. (2014). Cloning and characterization of the drought-resistance OsRCI2-5 gene in rice (Oryza sativa L.). Genetics and Molecular Research. 13(2). 4022–4035. 19 indexed citations
12.
Zi, Jin, Jiyuan Zhang, Quanhui Wang, et al.. (2013). Stress Responsive Proteins Are Actively Regulated during Rice (Oryza sativa) Embryogenesis as Indicated by Quantitative Proteomics Analysis. PLoS ONE. 8(9). e74229–e74229. 37 indexed citations
13.
Zi, Jin, Jiyuan Zhang, Quanhui Wang, et al.. (2012). Proteomics study of rice embryogenesis: Discovery of the embryogenesis‐dependent globulins. Electrophoresis. 33(7). 1129–1138. 13 indexed citations
14.
Song, Shufeng, et al.. (2012). Expression analysis of abiotic stress‐responsive genes in two rice heterotic crosses under cold, heat and drought stresses. Plant Breeding. 131(2). 267–275. 3 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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