Xiangdong Fu

16.6k total citations · 11 hit papers
106 papers, 11.7k citations indexed

About

Xiangdong Fu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Xiangdong Fu has authored 106 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Plant Science, 50 papers in Molecular Biology and 25 papers in Genetics. Recurrent topics in Xiangdong Fu's work include Plant Molecular Biology Research (52 papers), Plant nutrient uptake and metabolism (28 papers) and Genetic Mapping and Diversity in Plants and Animals (24 papers). Xiangdong Fu is often cited by papers focused on Plant Molecular Biology Research (52 papers), Plant nutrient uptake and metabolism (28 papers) and Genetic Mapping and Diversity in Plants and Animals (24 papers). Xiangdong Fu collaborates with scholars based in China, United Kingdom and United States. Xiangdong Fu's co-authors include Nicholas P. Harberd, Kun Wu, Qian Qian, Caifu Jiang, Qian Liu, Xiuhua Gao, Zhengbin Liu, Da Luo, Donald E. Richards and Xiangbin Chen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiangdong Fu

102 papers receiving 11.5k citations

Hit Papers

Control of grain size, sh... 2003 2026 2010 2018 2012 2008 2009 2003 2015 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Control of grain size, shape and quality by OsSPL16 in rice
    2012 891 citations Shaokui Wang, Kun Wu et al. profile →
  2. Coordinated regulation of Arabidopsis thaliana development by light and gibberellins
    2008 848 citations Xiangdong Fu, Liu‐Min Fan et al. Nature profile →
  3. Natural variation at the DEP1 locus enhances grain yield in rice
    2009 815 citations Da Luo, Xiangdong Fu et al. profile →
  4. Auxin promotes Arabidopsis root growth by modulating gibberellin response
    2003 609 citations Xiangdong Fu, Nicholas P. Harberd Nature profile →
  5. The OsSPL16-GW7 regulatory module determines grain shape and simultaneously improves rice yield and grain quality
    2015 525 citations Shaokui Wang, Shan Li et al. profile →
  6. Modulating plant growth–metabolism coordination for sustainable agriculture
    2018 480 citations Shan Li, Kun Wu et al. Nature profile →
  7. Shoot-to-Root Mobile Transcription Factor HY5 Coordinates Plant Carbon and Nitrogen Acquisition
    2016 401 citations Xiuhua Gao, Caifu Jiang et al. profile →
  8. Heterotrimeric G proteins regulate nitrogen-use efficiency in rice
    2014 331 citations Kun Wu, Shuansuo Wang et al. profile →
  9. Enhanced sustainable green revolution yield via nitrogen-responsive chromatin modulation in rice
    2020 313 citations Kun Wu, Shuansuo Wang et al. Science profile →
  10. G-protein βγ subunits determine grain size through interaction with MADS-domain transcription factors in rice
    2018 255 citations Qian Liu, Kun Wu et al. Nature Communications profile →
  11. Improving Crop Nitrogen Use Efficiency Toward Sustainable Green Revolution
    2022 138 citations Qian Liu, Kun Wu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangdong Fu China 47 10.0k 5.4k 2.8k 541 333 106 11.7k
Nils Stein Germany 58 10.1k 1.0× 3.8k 0.7× 3.3k 1.2× 780 1.4× 446 1.3× 216 11.3k
Bin Han China 56 10.9k 1.1× 5.4k 1.0× 4.8k 1.7× 609 1.1× 580 1.7× 127 13.3k
Qixin Sun China 56 9.4k 0.9× 3.7k 0.7× 2.2k 0.8× 1.1k 2.0× 167 0.5× 284 10.6k
Takuji Sasaki Japan 48 10.8k 1.1× 4.8k 0.9× 5.1k 1.8× 312 0.6× 279 0.8× 164 12.4k
Mukesh Jain India 52 8.6k 0.9× 6.4k 1.2× 1.3k 0.5× 247 0.5× 629 1.9× 147 12.2k
Thomas P. Brutnell United States 45 4.8k 0.5× 3.9k 0.7× 922 0.3× 411 0.8× 330 1.0× 100 6.6k
Zhen Su China 41 7.1k 0.7× 5.2k 1.0× 1.0k 0.4× 273 0.5× 518 1.6× 118 9.6k
Michael D. McMullen United States 51 10.5k 1.1× 3.7k 0.7× 7.6k 2.7× 1.0k 1.9× 284 0.9× 106 13.2k
Jianmin Wan China 57 9.9k 1.0× 3.8k 0.7× 4.5k 1.6× 287 0.5× 257 0.8× 292 11.4k
Shawn M. Kaeppler United States 55 8.2k 0.8× 3.6k 0.7× 2.5k 0.9× 1.6k 3.0× 269 0.8× 162 9.8k

Countries citing papers authored by Xiangdong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangdong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangdong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangdong Fu. A scholar is included among the top collaborators of Xiangdong 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 Xiangdong Fu. Xiangdong Fu 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.
Fu, Xiangdong, et al.. (2024). Phytohormonal networks facilitate plant root developmental adaptations to environmental changes. Science Bulletin. 69(6). 709–713. 6 indexed citations
2.
Li, Shichen, Qing Sang, Lingping Kong, et al.. (2023). Soybean reduced internode 1 determines internode length and improves grain yield at dense planting. Nature Communications. 14(1). 7939–7939. 26 indexed citations
3.
Zhao, Long, Yiman Yang, Jinchao Chen, et al.. (2023). Dynamic chromatin regulatory programs during embryogenesis of hexaploid wheat. Genome biology. 24(1). 7–7. 46 indexed citations
4.
Xu, Dengan, Xumei Luo, Xiuling Tian, et al.. (2023). Dissecting pleiotropic functions of the wheat Green Revolution gene Rht-B1b in plant morphogenesis and yield formation. Development. 150(20). 12 indexed citations
5.
Li, Yongpeng, Li Long, Meicheng Zhao, et al.. (2020). Wheat FRIZZYPANICLE activates VERNALIZATION1‐A and HOMEOBOX4‐A to regulate spike development in wheat. Plant Biotechnology Journal. 19(6). 1141–1154. 40 indexed citations
6.
Wu, Kun, Shuansuo Wang, Wenzhen Song, et al.. (2020). Enhanced sustainable green revolution yield via nitrogen-responsive chromatin modulation in rice. Science. 367(6478). 313 indexed citations breakdown →
7.
Zhang, Siyu, Tao Zhang, Yu Li, et al.. (2020). Natural allelic variation in a modulator of auxin homeostasis improves grain yield and nitrogen use efficiency in rice. The Plant Cell. 33(3). 566–580. 85 indexed citations
8.
Zhu, Liya, Han Cheng, Shuansuo Wang, et al.. (2020). Ubiquitinome Profiling Reveals the Landscape of Ubiquitination Regulation in Rice Young Panicles. Genomics Proteomics & Bioinformatics. 18(3). 305–320. 21 indexed citations
9.
Liu, Xiaomei, Lili Sun, Xiangdong Fu, & Hong Liao. (2019). An Effective Method for the Rooting of Tea Cuttings. Chinese Bulletin of Botany. 54(4). 531. 1 indexed citations
10.
Li, Shan, Kun Wu, Yafeng Ye, et al.. (2018). Modulating plant growth–metabolism coordination for sustainable agriculture. Nature. 560(7720). 595–600. 480 indexed citations breakdown →
11.
Gou, Lan‐Tao, Jun-Yan Kang, Peng Dai, et al.. (2017). Ubiquitination-Deficient Mutations in Human Piwi Cause Male Infertility by Impairing Histone-to-Protamine Exchange During Spermiogenesis. Obstetrical & Gynecological Survey. 72(9). 540–541. 4 indexed citations
12.
Fu, Xiangdong, et al.. (2016). Advances in Study of Ammonium Assimilation and its Regulatory Mechanism in Plants. Chinese Bulletin of Botany. 51(2). 152. 3 indexed citations
13.
Huang, Debao, Shaogan Wang, Baocai Zhang, et al.. (2015). A Gibberellin-Mediated DELLA-NAC Signaling Cascade Regulates Cellulose Synthesis in Rice. The Plant Cell. 27(6). 1681–1696. 222 indexed citations
14.
Gao, Xiuhua, et al.. (2011). An Updated GA Signaling ‘Relief of Repression’ Regulatory Model. Molecular Plant. 4(4). 601–606. 66 indexed citations
15.
Wang, Feng, Danmeng Zhu, Xi Huang, et al.. (2009). Biochemical Insights on Degradation of Arabidopsis DELLA Proteins Gained From a Cell-Free Assay System. The Plant Cell. 21(8). 2378–2390. 207 indexed citations
16.
Hu, Qidong, Young‐Soo Kwon, Esperanza Núñez, et al.. (2008). Enhancing nuclear receptor-induced transcription requires nuclear motor and LSD1-dependent gene networking in interchromatin granules. Proceedings of the National Academy of Sciences. 105(49). 19199–19204. 231 indexed citations
17.
Kwon, Young‐Soo, Ivan García-Bassets, Kasey R. Hutt, et al.. (2007). Sensitive ChIP-DSL technology reveals an extensive estrogen receptor α-binding program on human gene promoters. Proceedings of the National Academy of Sciences. 104(12). 4852–4857. 101 indexed citations
18.
19.
20.
Cheng, Hui, Lianju Qin, Xiangdong Fu, et al.. (2004). Gibberellin regulates Arabidopsis floral development via suppression of DELLA protein function. Development. 131(5). 1055–1064. 461 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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