Yongzhong Xing

20.0k total citations · 6 hit papers
183 papers, 14.2k citations indexed

About

Yongzhong Xing is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Yongzhong Xing has authored 183 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Plant Science, 138 papers in Genetics and 35 papers in Molecular Biology. Recurrent topics in Yongzhong Xing's work include Genetic Mapping and Diversity in Plants and Animals (132 papers), Rice Cultivation and Yield Improvement (78 papers) and GABA and Rice Research (57 papers). Yongzhong Xing is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (132 papers), Rice Cultivation and Yield Improvement (78 papers) and GABA and Rice Research (57 papers). Yongzhong Xing collaborates with scholars based in China, United States and Egypt. Yongzhong Xing's co-authors include Qifa Zhang, Caiguo Xu, Xianghua Li, Sibin Yu, Lijun Luo, Chuchuan Fan, Weiya Xue, Jinping Hua, Chao Xu and Bin Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yongzhong Xing

178 papers receiving 13.7k 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.

Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice

2008 1.2k citations Weiya Xue, Yongzhong Xing et al. Nature Genetics profile →
GS3, a major QTL for grain length and weight and minor QTL for grain width and thickness in rice, encodes a putative transmembrane protein

2006 1.1k citations Chuchuan Fan, Yongzhong Xing et al. Theoretical and Applied Genetics profile →
Genetic and Molecular Bases of Rice Yield

2010 727 citations Yongzhong Xing, Qifa Zhang profile →
Natural variation in GS5 plays an important role in regulating grain size and yield in rice

2011 722 citations Chuchuan Fan, Yongzhong Xing et al. Nature Genetics profile →
A Major QTL, Ghd8, Plays Pleiotropic Roles in Regulating Grain Productivity, Plant Height, and Heading Date in Rice

2010 447 citations Wenhao Yan, Hongju Zhou et al. profile →
Rice functional genomics: decades’ efforts and roads ahead

2021 148 citations Yongzhong Xing, Jiayang Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongzhong Xing China	59	12.8k	8.8k	3.1k	641	535	183	14.2k
Jianmin Wan China	57	9.9k 0.8×	4.5k 0.5×	3.8k 1.3×	287 0.4×	664 1.2×	292	11.4k
Dali Zeng China	48	8.3k 0.7×	3.4k 0.4×	3.2k 1.1×	367 0.6×	518 1.0×	172	9.2k
Peter J. Bradbury United States	33	11.3k 0.9×	7.8k 0.9×	2.6k 0.9×	1.1k 1.7×	222 0.4×	53	13.7k
Jianbing Yan China	65	11.6k 0.9×	7.2k 0.8×	4.0k 1.3×	1.2k 1.8×	220 0.4×	208	14.5k
Xianghua Li China	78	19.0k 1.5×	5.7k 0.6×	8.3k 2.7×	513 0.8×	429 0.8×	214	21.1k
Caiguo Xu China	50	10.8k 0.8×	4.8k 0.5×	4.3k 1.4×	295 0.5×	247 0.5×	83	12.0k
Xiangdong Fu China	47	10.0k 0.8×	2.8k 0.3×	5.4k 1.8×	541 0.8×	158 0.3×	106	11.7k
Yunbi Xu China	48	7.3k 0.6×	4.5k 0.5×	1.4k 0.5×	572 0.9×	175 0.3×	110	8.3k
Guojun Dong China	39	6.9k 0.5×	3.3k 0.4×	2.5k 0.8×	292 0.5×	259 0.5×	132	7.6k
Nils Stein Germany	58	10.1k 0.8×	3.3k 0.4×	3.8k 1.2×	780 1.2×	166 0.3×	216	11.3k

Countries citing papers authored by Yongzhong Xing

Since Specialization

Citations

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

Fields of papers citing papers by Yongzhong Xing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongzhong Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Yongzhong Xing. A scholar is included among the top collaborators of Yongzhong Xing 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 Yongzhong Xing. Yongzhong Xing 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

Zhou, Yujun, et al.. (2025). Effects of biochar on phosphorus fraction, phosphatase activity, and phosphorus-solubilizing bacterial abundance: a phosphorus-depleted biochar design. Frontiers in Environmental Science. 13.

Chen, Niannian, Yilong Yao, Wen Huang, et al.. (2025). SP3 and DEP1 Orchestrate Panicle Architecture by Jointly Regulating APO2 Expression in Rice. Advanced Science. 12(44). e08230–e08230.

Cui, Yanchun, Lifang Huang, Peng Liu, et al.. (2025). Suppressing an auxin efflux transporter enhances rice adaptation to temperate habitats. Nature Communications. 16(1). 4100–4100. 2 indexed citations

Gao, Fangyuan, Wen Huang, Ying Yang, et al.. (2024). The transcription factor CCT30 promotes rice preharvest sprouting by regulating sugar signalling to inhibit the ABA‐mediated pathway. Plant Biotechnology Journal. 23(2). 579–591. 4 indexed citations

Zhang, Jia, Wei Hu, Yong Hu, et al.. (2024). OsIAA23 Promotes Heading by Directly Downregulating Ghd7 in rice. Rice. 17(1). 70–70.

Wu, Bi, Hongbo Liu, Donghai Mao, et al.. (2023). Suppressing a phosphohydrolase of cytokinin nucleotide enhances grain yield in rice. Nature Genetics. 55(8). 1381–1389. 32 indexed citations

Shen, Guojing, Wei Hu, Xianmeng Wang, et al.. (2022). Assembly of yield heterosis of an elite rice hybrid is promising by manipulating dominant quantitative trait loci. Journal of Integrative Plant Biology. 64(3). 688–701. 12 indexed citations

Zhang, Bo, Gang Hu, Yikai Yang, et al.. (2021). BSA-seq-based identification of a major additive plant height QTL with an effect equivalent to that of Semi-dwarf 1 in a large rice F2 population. The Crop Journal. 9(6). 1428–1437. 11 indexed citations

Shen, Cuicui, Haiyang Liu, Zeyuan Guan, et al.. (2020). Structural Insight into DNA Recognition by CCT/NF-YB/YC Complexes in Plant Photoperiodic Flowering. The Plant Cell. 32(11). 3469–3484. 64 indexed citations

10.

Mao, Donghai, Yeyun Xin, Yongjun Tan, et al.. (2019). Natural variation in the HAN1 gene confers chilling tolerance in rice and allowed adaptation to a temperate climate. Proceedings of the National Academy of Sciences. 116(9). 3494–3501. 155 indexed citations

11.

Zhou, Xiangchun, Xufeng Bai, & Yongzhong Xing. (2017). A Rice Genetic Improvement Boom by Next Generation Sequencing. Current Issues in Molecular Biology. 27. 109–126. 14 indexed citations

12.

Zhou, Xiangchun & Yongzhong Xing. (2016). [The application of genome editing in identification of plant gene function and crop breeding].. PubMed. 38(3). 227–42. 3 indexed citations

13.

Lixia, Xie, Tan, et al.. (2014). Identification and fine mapping of quantitative trait loci for seed vigor in germination and seedling establishment in rice. 植物学报：英文版. 749–759. 53 indexed citations

14.

Mao, Donghai, et al.. (2010). Two complementary recessive genes in duplicated segments control etiolation in rice. Theoretical and Applied Genetics. 122(2). 373–383. 18 indexed citations

15.

Xue, Weiya, Yongzhong Xing, Xiaoyu Weng, et al.. (2008). Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice. Nature Genetics. 40(6). 761–767. 1246 indexed citations breakdown →

16.

Fan, Chuchuan, Sibin Yu, Chongrong Wang, & Yongzhong Xing. (2008). A causal C–A mutation in the second exon of GS3 highly associated with rice grain length and validated as a functional marker. Theoretical and Applied Genetics. 118(3). 465–472. 145 indexed citations

17.

Xing, Yongzhong, et al.. (2002). Molecular Dissection of Relationship Between Seedling Characteristics and Seed Size in Rice. Journal of Integrative Plant Biology. 44(6). 702–707. 21 indexed citations

18.

Guo, Longbiao, Lijun Luo, Yongzhong Xing, et al.. (2002). QTL Mapping and Interaction Analysis for the Important Agronomic Traits of Shanyou 63 Recombinant Inbred Lines in Rice. Journal of Pharmaceutical and Biomedical Sciences. 10(4). 327–333. 4 indexed citations

19.

Xing, Yongzhong, Chao Xu, Jian Hua, & Yunna Tan. (2001). [Analysis of QTL x environment interaction for rice panicle characteristics].. PubMed. 28(5). 439–46. 22 indexed citations

20.

Tan, Yao, et al.. (1999). The three important traits for cooking and eating quality of rice grains are controlled by a single locus in an elite rice hybrid, Shanyou 63. Theoretical and Applied Genetics. 99(3-4). 642–648. 358 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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