Kun Wu

6.5k total citations · 7 hit papers
68 papers, 4.5k citations indexed

About

Kun Wu is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Kun Wu has authored 68 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 20 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Kun Wu's work include Plant Molecular Biology Research (21 papers), Plant nutrient uptake and metabolism (14 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Kun Wu is often cited by papers focused on Plant Molecular Biology Research (21 papers), Plant nutrient uptake and metabolism (14 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Kun Wu collaborates with scholars based in China, United States and United Kingdom. Kun Wu's co-authors include Xiangdong Fu, Qian Liu, Shaokui Wang, Shan Li, Qian Qian, Jianqing Zhang, Shuansuo Wang, Yafeng Ye, Guojun Dong and Qingbo Yuan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kun Wu

65 papers receiving 4.5k citations

Hit Papers

5 papers align trajectories

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.

Control of grain size, shape and quality by OsSPL16 in rice

2012 891 citations Shaokui Wang, Kun Wu et al. Nature Genetics profile →
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. Nature Genetics profile →
Modulating plant growth–metabolism coordination for sustainable agriculture

2018 480 citations Shan Li, Kun Wu et al. profile →
Heterotrimeric G proteins regulate nitrogen-use efficiency in rice

2014 331 citations Kun Wu, Shuansuo Wang et al. Nature Genetics profile →
Enhanced sustainable green revolution yield via nitrogen-responsive chromatin modulation in rice

2020 313 citations Kun Wu, Shuansuo Wang et al. Science profile →
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. profile →
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						Papers	Cites
Kun Wu China	26	4.1k	1.7k	1.2k	284	139	68	4.5k
Wenbin Li China	38	4.5k 1.1×	732 0.4×	1.3k 1.1×	234 0.8×	53 0.4×	182	5.1k
Guojun Dong China	39	6.9k 1.7×	3.3k 2.0×	2.5k 2.1×	292 1.0×	166 1.2×	132	7.6k
Li Zhu China	31	3.2k 0.8×	1.1k 0.7×	1.4k 1.1×	125 0.4×	59 0.4×	105	3.5k
Ute Baumann Australia	33	3.0k 0.7×	541 0.3×	1.4k 1.1×	244 0.9×	66 0.5×	85	3.5k
Guangheng Zhang China	31	3.2k 0.8×	1.3k 0.8×	1.4k 1.2×	127 0.4×	53 0.4×	114	3.6k
Jianmin Wan China	34	3.3k 0.8×	995 0.6×	1.4k 1.2×	118 0.4×	165 1.2×	93	3.6k
Zichao Li China	37	4.1k 1.0×	2.0k 1.2×	1.2k 1.0×	196 0.7×	52 0.4×	169	4.7k
Ryu Ohsugi Japan	30	3.0k 0.7×	362 0.2×	970 0.8×	199 0.7×	117 0.8×	74	3.3k
Emmanuel Guiderdoni France	49	5.4k 1.3×	757 0.5×	3.0k 2.5×	109 0.4×	58 0.4×	120	6.2k
Babu Valliyodan United States	41	4.3k 1.0×	372 0.2×	1.4k 1.2×	264 0.9×	61 0.4×	81	4.9k

Countries citing papers authored by Kun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Kun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hu, Walter, Wenzhen Song, Chenchen Wu, et al.. (2025). Design strategies for enhanced sustainable green revolution productivity in rice. Journal of genetics and genomics. 1 indexed citations

Jiang, Hongrui, Fang Cheng, Lingling Peng, et al.. (2024). Mutation of rice EARLY LEAF LESION AND SENESCENCE 1 (ELS1), which encodes an anthranilate synthase α‐subunit, induces ROS accumulation and cell death through activating the tryptophan synthesis pathway in rice. The Plant Journal. 120(6). 2723–2737. 3 indexed citations

Jiang, Hongrui, Fang Cheng, Yuan‐Han Yang, et al.. (2024). Mutation of rice SM1 enhances solid leaf midrib formation and increases methane emissions. Plant Science. 350. 112312–112312. 1 indexed citations

Dong, Qianqian, Paul H. Goodwin, Qing‐Xiang Liu, et al.. (2024). Double-Wing Motif Protein is a Novel Biofilm Regulatory Factor of the Plant Disease Biocontrol Agent, Bacillus subtilis. Journal of Agricultural and Food Chemistry. 72(37). 20273–20285. 1 indexed citations

Wu, Kun, et al.. (2024). MEFSR-GAN: A Multi-Exposure Feedback and Super-Resolution Multitask Network via Generative Adversarial Networks. Remote Sensing. 16(18). 3501–3501. 1 indexed citations

Wu, Kun, et al.. (2023). Evaluation of inducing activity of CIP elicitors from diverse sources based on monosaccharide composition and physiological indicators. Journal of Plant Physiology. 285. 154002–154002. 3 indexed citations

Chen, Lei, et al.. (2023). A. macrocephala polysaccharide induces alterations to gut microbiome and serum metabolome in constipated mice. Microbial Pathogenesis. 178. 106084–106084. 11 indexed citations

Liu, Qian, et al.. (2022). Beyond the Green Revolution: Improving crop productivity and sustainability by modulating plant growth-metabolic coordination. Molecular Plant. 15(4). 573–576. 7 indexed citations

Yang, Wensi, Kun Wu, Bo Wang, et al.. (2021). The RING E3 ligase CLG1 targets GS3 for degradation via the endosome pathway to determine grain size in rice. Molecular Plant. 14(10). 1699–1713. 78 indexed citations

10.

Wu, Kun, et al.. (2021). Structural characterization and evaluation the elicitors activity of polysaccharides from Chrysanthemum indicum. Carbohydrate Polymers. 263. 117994–117994. 44 indexed citations

11.

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 →

12.

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

13.

Guo, Xiaoxuan, Xiaoning Zhang, Yuan Qin, et al.. (2019). Host-Associated Quantitative Abundance Profiling Reveals the Microbial Load Variation of Root Microbiome. Plant Communications. 1(1). 100003–100003. 45 indexed citations

14.

Xu, Quan, Mingzhu Zhao, Kun Wu, Xiangdong Fu, & Qian Liu. (2016). Emerging insights into heterotrimeric G protein signaling in plants. Journal of genetics and genomics. 43(8). 495–502. 29 indexed citations

15.

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

16.

Wang, Shaokui, Shan Li, Qian Liu, et al.. (2015). The OsSPL16-GW7 regulatory module determines grain shape and simultaneously improves rice yield and grain quality. Nature Genetics. 47(8). 949–954. 525 indexed citations breakdown →

17.

Wang, Ning, et al.. (2013). Immobilization of aluminum with mucilage secreted by root cap and root border cells is related to aluminum resistance in Glycine max L. Environmental Science and Pollution Research. 20(12). 8924–8933. 42 indexed citations

18.

Chen, Hongge, et al.. (2010). Lauric acid and 2, 6-ditertbutyl phenol, two major allelochemicals from Rehmannia glutinosa inhibiting the germination of succeeding crop, Sesamum indicum. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(50). 8672–8678. 3 indexed citations

19.

Wu, Kun, et al.. (2009). New SSR Markers for Use in Cotton (Gossypium spp.) Improvement. The journal of cotton science/Journal of cotton science. 13(2). 75–157. 42 indexed citations

20.

Concibido, Vergel, B L Vallee, Nicolás Pineda-Trujillo, et al.. (2003). Introgression of a quantitative trait locus for yield from Glycine soja into commercial soybean cultivars. Theoretical and Applied Genetics. 106(4). 575–582. 149 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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