Shutu Xu

2.5k total citations
70 papers, 1.8k citations indexed

About

Shutu Xu is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Shutu Xu has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 35 papers in Genetics and 12 papers in Agronomy and Crop Science. Recurrent topics in Shutu Xu's work include Genetic Mapping and Diversity in Plants and Animals (34 papers), Genetics and Plant Breeding (26 papers) and Genetic and phenotypic traits in livestock (18 papers). Shutu Xu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (34 papers), Genetics and Plant Breeding (26 papers) and Genetic and phenotypic traits in livestock (18 papers). Shutu Xu collaborates with scholars based in China, United States and Tunisia. Shutu Xu's co-authors include Jianbing Yan, Xiaohong Yang, Jiansheng Li, William R. Atchley, Lin Li, Jiquan Xue, Shibin Gao, Zuxin Zhang, Yuan‐Ming Zhang and B. M. Prasanna and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shutu Xu

68 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shutu Xu China	20	1.3k	940	333	185	168	70	1.8k
Nepolean Thirunavukkarasu India	28	2.1k 1.6×	756 0.8×	471 1.4×	181 1.0×	132 0.8×	73	2.4k
Shibin Gao China	28	2.2k 1.6×	1.0k 1.1×	665 2.0×	215 1.2×	88 0.5×	68	2.5k
Candice Gardner United States	17	1.3k 1.0×	809 0.9×	303 0.9×	155 0.8×	128 0.8×	29	1.6k
H. Grausgruber Austria	27	1.6k 1.2×	395 0.4×	211 0.6×	342 1.8×	364 2.2×	133	2.2k
Mulatu Geleta Sweden	24	1.2k 0.9×	519 0.6×	312 0.9×	285 1.5×	79 0.5×	92	1.6k
Catherine Ravel France	36	2.7k 2.0×	894 1.0×	603 1.8×	619 3.3×	326 1.9×	88	3.5k
Yongrui Wu China	32	1.9k 1.4×	598 0.6×	1.0k 3.0×	256 1.4×	258 1.5×	64	2.5k
Diane E. Mather Australia	38	3.5k 2.6×	1.2k 1.3×	548 1.6×	708 3.8×	410 2.4×	132	4.0k
Rita H. Mumm United States	17	1.0k 0.8×	513 0.5×	312 0.9×	175 0.9×	44 0.3×	32	1.3k
Chiedozie Egesi Nigeria	24	1.9k 1.4×	267 0.3×	371 1.1×	84 0.5×	130 0.8×	86	2.2k

Countries citing papers authored by Shutu Xu

Since Specialization

Citations

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

Fields of papers citing papers by Shutu Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shutu Xu

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

All Works

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20 of 20 papers shown

Luo, Zi Wei, Leiming Wu, Shuang Zhang, et al.. (2024). A dynamic regulome of shoot-apical-meristem-related homeobox transcription factors modulates plant architecture in maize. Genome biology. 25(1). 245–245. 8 indexed citations

Zhang, Hao, Xiaojun Zhang, Jianzhou Qu, et al.. (2024). Reveal the kernel dehydration mechanisms in maize based on proteomic and metabolomic analysis. BMC Plant Biology. 24(1). 15–15. 2 indexed citations

Li, Guoliang, Xinghua Zhang, Ting Li, et al.. (2024). Genome-Wide Association Study for Maize Hybrid Performance in a Typical Breeder Population. International Journal of Molecular Sciences. 25(2). 1190–1190. 1 indexed citations

Zhang, Ziran, Ning Zhang, Ting Li, et al.. (2024). QTL mapping for plant height and ear height using bi-parental immortalized heterozygous populations in maize. Frontiers in Plant Science. 15. 1371394–1371394. 6 indexed citations

Hu, Die, et al.. (2023). Characterization of the Isocitrate Dehydrogenase Gene Family and Their Response to Drought Stress in Maize. Plants. 12(19). 3466–3466. 11 indexed citations

Ye, Fan, Ting Li, Guoliang Li, et al.. (2023). Genome-wide association analysis for grain moisture content and dehydration rate on maize hybrids. Molecular Breeding. 43(1). 5–5. 7 indexed citations

Zhang, Ya‐Ping, Xiaojun Zhang, Liangjia Zhu, et al.. (2023). Identification of the Maize LEA Gene Family and Its Relationship with Kernel Dehydration. Plants. 12(21). 3674–3674. 9 indexed citations

Wu, Ying, Die Hu, Ting Li, et al.. (2022). Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize. Frontiers in Plant Science. 13. 872292–872292. 11 indexed citations

Li, Ting, Jianzhou Qu, Xiaokang Tian, et al.. (2020). Identification of Ear Morphology Genes in Maize (Zea mays L.) Using Selective Sweeps and Association Mapping. Frontiers in Genetics. 11. 747–747. 12 indexed citations

10.

Shen, Jianguo, Shutu Xu, & Lihong Yin. (2020). LncRNA NORAD/miR-202-5p regulates the drug resistance of A549/DDP to cisplatin by targeting P-gp. General Physiology and Biophysics. 39(5). 481–489. 16 indexed citations

11.

Zhang, Zhengquan, Jianzhou Qu, Feifei Li, et al.. (2020). Genome-wide evolutionary characterization and expression analysis of SIAMESE-RELATED family genes in maize. BMC Evolutionary Biology. 20(1). 91–91. 6 indexed citations

12.

Xu, Jing, et al.. (2019). Uncovering the genetic basis of carotenoid variations in maize kernels using two segregating populations. Molecular Breeding. 39(6). 1 indexed citations

13.

Cao, Yuanyuan, et al.. (2018). [Cases diagnosis of imported malaria in Jiangsu province, 2014-2016].. PubMed. 39(2). 218–221. 5 indexed citations

14.

Li, Feifei, Licheng Wang, Zhengquan Zhang, et al.. (2018). ZmSMR4, a novel cyclin-dependent kinase inhibitor (CKI) gene in maize (Zea mays L.), functions as a key player in plant growth, development and tolerance to abiotic stress. Plant Science. 280. 120–131. 14 indexed citations

15.

Li, Ting, Jianzhou Qu, Yahui Wang, et al.. (2018). Genetic characterization of inbred lines from Shaan A and B groups for identifying loci associated with maize grain yield. BMC Genetics. 19(1). 63–63. 22 indexed citations

16.

Xu, Shutu, Qianqian Sun, Xiaohua Zhou, et al.. (2016). Polysaccharide biosynthesis-related genes explain phenotype-genotype correlation of Microcystis colonies in Meiliang Bay of Lake Taihu, China. Scientific Reports. 6(1). 35551–35551. 14 indexed citations

17.

Xu, Shutu. (2013). P311: A cross-sectional survey on the incidence of sharps injuries among healthcare workers at 26 hospitals in China. Antimicrobial Resistance and Infection Control. 2(S1). 1 indexed citations

18.

Li, Qing, Xiaohong Yang, Shutu Xu, et al.. (2012). Genome-Wide Association Studies Identified Three Independent Polymorphisms Associated with α-Tocopherol Content in Maize Kernels. PLoS ONE. 7(5). e36807–e36807. 119 indexed citations

19.

Xu, Shutu, Yi Zhou, Trushar Shah, et al.. (2012). Dissecting tocopherols content in maize (Zea mays L.), using two segregating populations and high-density single nucleotide polymorphism markers. BMC Plant Biology. 12(1). 201–201. 37 indexed citations

20.

Zhang, Yuan‐Ming & Shutu Xu. (2005). A penalized maximum likelihood method for estimating epistatic effects of QTL. Heredity. 95(1). 96–104. 73 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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