Junyi Gong

1.2k total citations · 1 hit paper
19 papers, 365 citations indexed

About

Junyi Gong is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Junyi Gong has authored 19 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Junyi Gong's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant Pathogenic Bacteria Studies (4 papers). Junyi Gong is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Plant-Microbe Interactions and Immunity (6 papers) and Plant Pathogenic Bacteria Studies (4 papers). Junyi Gong collaborates with scholars based in China, United States and Hong Kong. Junyi Gong's co-authors include Xuehui Huang, Yang Shi-hua, Bin Han, Qijun Weng, Qi Feng, Junhui Xia, Wen‐Jun Li, Yiqi Lu, Jiaying Chen and Qiang Zhao and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and International Journal of Molecular Sciences.

In The Last Decade

Junyi Gong

14 papers receiving 357 citations

Hit Papers

Genomic architecture of h... 2016 2026 2019 2022 2016 50 100 150 200 250
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. Genomic architecture of heterosis for yield traits in rice
    2016 299 citations Xuehui Huang, Yang Shi-hua et al. Nature profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Junyi Gong 307 211 91 12 10 19 365
Cheng Benyi 261 0.9× 190 0.9× 68 0.7× 9 0.8× 9 0.9× 3 300
Yang Shi-hua 274 0.9× 198 0.9× 71 0.8× 9 0.8× 9 0.9× 7 314
Xiao-Wen Sun 175 0.6× 137 0.6× 88 1.0× 15 1.3× 8 0.8× 17 270
Rongyu Huang 506 1.6× 326 1.5× 103 1.1× 5 0.4× 21 2.1× 14 526
Yingyao Shi 466 1.5× 236 1.1× 55 0.6× 9 0.8× 22 2.2× 46 494
P. H. N. Rangel 283 0.9× 159 0.8× 63 0.7× 8 0.7× 18 1.8× 17 335
Jieqin Li 185 0.6× 89 0.4× 130 1.4× 16 1.3× 34 3.4× 35 268
Changlan Zhu 361 1.2× 169 0.8× 102 1.1× 7 0.6× 21 2.1× 29 404
Bishnu Charan Marndi 344 1.1× 160 0.8× 42 0.5× 4 0.3× 14 1.4× 27 374
Chengfang Zhan 371 1.2× 79 0.4× 74 0.8× 12 1.0× 10 1.0× 17 408

Countries citing papers authored by Junyi Gong

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyi Gong

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

All Works

19 of 19 papers shown
1.
Zhang, Siwei, Fulong Ma, Jinhui Jiang, et al.. (2025). Isotope Engineering of Tetraphenylethylene: Aggregate‐Dependent Enhancement of Luminescence Efficiency. Angewandte Chemie International Edition. 64(36). e202511678–e202511678.
2.
Deng, Ziwei, Ben Zhong Tang, Junyi Gong, et al.. (2025). Unveiling the Role of Alkyl Chain in Boosting Antibacterial Selectivity and Cell Biocompatibility. JACS Au. 5(2). 675–683. 6 indexed citations
3.
Qi, Yuting, et al.. (2025). Recent Progress in Rice–Xanthomonas oryzae Interactions. Biology. 14(5). 471–471.
4.
5.
Li, Panpan, et al.. (2024). A Novel Single Base Mutation in OsSPL42 Leads to the Formation of Leaf Lesions in Rice. International Journal of Molecular Sciences. 25(22). 11871–11871.
6.
Gong, Junyi, Dandan Yang, Wei Liu, & Jie Hou. (2024). Cross‐stacking crystal structural configuration of integrated cathode materials for proton‐conducting solid oxide fuel cells. Rare Metals. 43(11). 6088–6095. 3 indexed citations
7.
Liao, Xinwei, Xia Xu, Hai Zhou, et al.. (2024). The Identification and Gene Mapping of Spotted Leaf Mutant spl43 in Rice. International Journal of Molecular Sciences. 25(12). 6637–6637. 2 indexed citations
8.
Xia, Xiaodong, Xiaobo Zhang, Zhonghao Wang, et al.. (2023). Mapping and Functional Analysis of LE Gene in a Lethal Etiolated Rice Mutant at Seedling Stage. Rice Science. 30(6). 567–576.
9.
Zhang, Xiaobo, Panpan Li, Zhonghao Wang, et al.. (2023). ORYZA SATIVA SPOTTED-LEAF 41 (OsSPL41) Negatively Regulates Plant Immunity in Rice. Rice Science. 30(5). 426–436. 5 indexed citations
10.
Fan, Jiongjiong, Hua Hua, Qí Zhāng, et al.. (2022). Whole-Genome Sequencing of 117 Chromosome Segment Substitution Lines for Genetic Analyses of Complex Traits in Rice. Rice. 15(1). 5–5. 4 indexed citations
11.
Gong, Junyi, et al.. (2022). Fine Mapping and Candidate-Gene Analysis of an open glume multi-pistil 3 (mp3) in Rice (Oryza sativa L.). Agriculture. 12(10). 1731–1731. 1 indexed citations
12.
Li, Panpan, et al.. (2022). The Gain-of-Function Mutation, OsSpl26, Positively Regulates Plant Immunity in Rice. International Journal of Molecular Sciences. 23(22). 14168–14168. 11 indexed citations
13.
Li, Zhen, Qilin Zhan, Qi Feng, et al.. (2021). Cytoplasmic and nuclear genome variations of rice hybrids and their parents inform the trajectory and strategy of hybrid rice breeding. Molecular Plant. 14(12). 2056–2071. 8 indexed citations
14.
Liu, Jie, Junyi Gong, Xin Wei, et al.. (2020). Dominance complementation of Hd1 and Ghd8 contributes to extremely late flowering in two rice hybrids. Molecular Breeding. 40(8). 7 indexed citations
15.
Huang, Xuehui, Yang Shi-hua, Junyi Gong, et al.. (2016). Genomic architecture of heterosis for yield traits in rice. Nature. 537(7622). 629–633. 299 indexed citations breakdown →
16.
Zhang, Huali, Jianzhong Huang, Qinglong Liu, et al.. (2014). Characterization of an RNase Z nonsense mutation identified exclusively in environment-conditioned genic male sterile rice. Molecular Breeding. 34(2). 481–489. 9 indexed citations
17.
Gong, Junyi, Jirong Wu, Kai Wang, Ye‐Yang Fan, & Jie‐Yun Zhuang. (2010). Fine mapping of qHUS6.1, a quantitative trait locus for silicon content in rice (Oryza sativa L.). Chinese Science Bulletin. 55(29). 3283–3287. 5 indexed citations
18.
Gong, Junyi, et al.. (2010). Quantitative Trait Loci for Panicle Size and Grain Yield Detected in Interval RM111-RM19 784 on the Short Arm of Rice Chromosome 6. Agricultural Sciences in China. 9(8). 1085–1092. 4 indexed citations
19.
Gong, Junyi. (2009). Advances in Molecular Mapping of Resistance Genes to Brown Planthopper and Whitebacked Planthopper in Rice. Bulletin of Science and Technology. 1 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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