Chenwu Xu

3.9k total citations
119 papers, 2.5k citations indexed

About

Chenwu Xu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Chenwu Xu has authored 119 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Plant Science, 72 papers in Genetics and 28 papers in Molecular Biology. Recurrent topics in Chenwu Xu's work include Genetic Mapping and Diversity in Plants and Animals (71 papers), Genetics and Plant Breeding (43 papers) and Genetic and phenotypic traits in livestock (25 papers). Chenwu Xu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (71 papers), Genetics and Plant Breeding (43 papers) and Genetic and phenotypic traits in livestock (25 papers). Chenwu Xu collaborates with scholars based in China, United States and Mexico. Chenwu Xu's co-authors include Zefeng Yang, Yang Xu, Pengcheng Li, Shiliang Gu, Zhongli Hu, Xuefeng Wang, Xin Wang, Zhiqiu Hu, Yong Zhou and Guohua Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Chenwu Xu

109 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenwu Xu China	27	2.2k	1.0k	744	182	83	119	2.5k
Jun‐ichi Yonemaru Japan	26	1.9k 0.9×	1.1k 1.1×	567 0.8×	266 1.5×	108 1.3×	72	2.3k
Kiyosumi Hori Japan	28	2.5k 1.1×	1.3k 1.3×	564 0.8×	149 0.8×	124 1.5×	54	2.7k
Mathias Lorieux France	32	2.6k 1.2×	1.3k 1.3×	530 0.7×	133 0.7×	57 0.7×	66	2.9k
Ramil Mauleon Philippines	28	3.1k 1.4×	1.2k 1.2×	1.0k 1.4×	108 0.6×	68 0.8×	70	3.5k
Endang M. Septiningsih United States	31	3.5k 1.6×	1.3k 1.3×	530 0.7×	74 0.4×	69 0.8×	87	3.8k
Binying Fu China	31	3.3k 1.5×	910 0.9×	1.0k 1.4×	145 0.8×	35 0.4×	72	3.6k
Gongwei Wang China	23	2.4k 1.1×	1.4k 1.4×	955 1.3×	108 0.6×	199 2.4×	33	3.0k
Deyong Ren China	31	2.3k 1.1×	710 0.7×	1.2k 1.6×	77 0.4×	58 0.7×	105	2.6k
Jiuyou Tang China	23	3.1k 1.4×	586 0.6×	1.3k 1.7×	124 0.7×	46 0.6×	30	3.4k
Dominique Brunel France	26	2.0k 0.9×	1.0k 1.0×	991 1.3×	94 0.5×	31 0.4×	39	2.4k

Countries citing papers authored by Chenwu Xu

Since Specialization

Citations

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

Fields of papers citing papers by Chenwu Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenwu Xu

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

Wang, Yunyun, Dan Sun, Houmiao Wang, et al.. (2025). A variome–transcriptome–metabolome network links GABA biosynthesis to stress resilience in maize. The Plant Cell. 37(10).

Chen, Rujia, Yanan Xu, Zhichao Wang, et al.. (2025). Comparative Genomic Analysis of the Poaceae Cytokinin Response Regulator RRB Gene Family and Functional Characterization of OsRRB5 in Drought Stress Tolerance in Rice. International Journal of Molecular Sciences. 26(5). 1954–1954. 1 indexed citations

Zhang, Zhenliang, Xin Wang, Yuxiang Zhang, et al.. (2025). SPDC‐HG: An accelerator of genomic hybrid breeding in maize. Plant Biotechnology Journal. 23(5). 1847–1861.

Chen, Rujia, Yue Lu, Enying Zhang, et al.. (2022). OsCOMT, encoding a caffeic acid O‐methyltransferase in melatonin biosynthesis, increases rice grain yield through dual regulation of leaf senescence and vascular development. Plant Biotechnology Journal. 20(6). 1122–1139. 59 indexed citations

Cui, Yanru, Xin Wang, Wenyan Yang, et al.. (2022). Comparison of sequencing-based and array-based genotyping platforms for genomic prediction of maize hybrid performance. The Crop Journal. 11(2). 490–498. 16 indexed citations

Lu, Zhaogeng, Jiawen Cui, Lı Wang, et al.. (2021). Genome-wide DNA mutations in Arabidopsis plants after multigenerational exposure to high temperatures. Genome biology. 22(1). 160–160. 46 indexed citations

Xu, Chenwu, et al.. (2021). Research on the Autonomous Learning Mode of College Students Based on Mobile Terminals under the Internet Environment. 3(3). 23–26.

Lu, Yue, Rujia Chen, Enying Zhang, et al.. (2021). Nucleotide Diversity of the Maize ZmCNR13 Gene and Association With Ear Traits. Frontiers in Genetics. 12. 773597–773597. 3 indexed citations

Li, Ruidong, Han Qu, Jinfeng Chen, et al.. (2020). Inference of Chromosome-Length Haplotypes Using Genomic Data of Three or a Few More Single Gametes. Molecular Biology and Evolution. 37(12). 3684–3698. 11 indexed citations

10.

Li, Pengcheng, Wei Cao, Huimin Fang, et al.. (2017). Transcriptomic Profiling of the Maize (Zea mays L.) Leaf Response to Abiotic Stresses at the Seedling Stage. Frontiers in Plant Science. 8. 290–290. 86 indexed citations

11.

Wang, Yifan, et al.. (2014). Molecular evolution and expression patterns under abiotic stresses of beta-amylase gene family in grasses.. 32(31). 29–36. 1 indexed citations

12.

Zhang, Enying, et al.. (2013). Nucleotide Polymorphisms and Haplotype Diversity of RTCS Gene in China Elite Maize Inbred Lines. PLoS ONE. 8(2). e56495–e56495. 8 indexed citations

13.

Xu, Chenwu. (2012). Molecular Evolution and Expression Analysis of Subfamily ABCB Transporter Genes in Rice. Zhongguo shuidao kexue. 5 indexed citations

14.

Tang, Zaixiang, et al.. (2012). The maternal cytoplasmic environment may be involved in the viability selection of gametes and zygotes. Heredity. 110(4). 331–337. 6 indexed citations

15.

Xu, Chenwu, et al.. (2010). A Rank-Sum-Difference Testing Method for Multi-Trait Comprehensive Ranking. Zhongguo nongye Kexue. 43(10). 2008–2015. 3 indexed citations

16.

Chen, Zhijun, et al.. (2009). Genetic Position-Based Comparative Study of Quantitative Trait Loci for Major Traits Between Rice and Maize. Zhongguo shuidao kexue. 23(3). 229–236. 1 indexed citations

17.

Xu, Chenwu. (2005). Statistical method for mapping QTL controlling endosperm traits in cereals. Journal of Yangzhou University.

18.

Xu, Chenwu, et al.. (2001). Principal factors affecting the power of detection and accuracy of QTL mapping. Zuo wu xue bao. 27(4). 469–475. 6 indexed citations

19.

Li, Xin, et al.. (1999). Genetic expression for quality traits of rice grain in japonica hybrids. Zhongguo shuidao kexue. 13(4). 197–204. 5 indexed citations

20.

Xu, Chenwu, et al.. (1996). Qualitative-quantitative analysis for inheritance of gelatinization temperature in indica rice (O. sativa subsp. indica). Zuo wu xue bao. 22(4). 385–391. 2 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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