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Genetics

D-Index
66
Citations
12422
World Ranking
2641
National Ranking
1164

Research.com Recognitions

  • 2006 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Shizhong Xu is affiliated with the University of California, Riverside in the United States. Their research primarily falls under the broad category of Biochemistry, Genetics and Molecular Biology, with a focus on Genetics, Plant Science, and Molecular Biology. Additional subfields include Surgery and Computer Networks and Communications.

Their work encompasses several main topics, including Genetic Mapping and Diversity in Plants and Animals, Genetic and Phenotypic Traits in Livestock, Genetics and Plant Breeding, Genetic Associations and Epidemiology, Bladder and Urothelial Cancer Treatments, Urinary and Genital Oncology Studies, and Epigenetics and DNA Methylation.

Key recent papers authored or co-authored by Shizhong Xu include:

  • Graph pangenome captures missing heritability and empowers tomato breeding (2022, Nature)
  • Urine DNA methylation assay enables early detection and recurrence monitoring for bladder cancer (2020, Journal of Clinical Investigation)
  • Genomic selection: A breakthrough technology in rice breeding (2021, The Crop Journal)
  • A urine-based DNA methylation assay to facilitate early detection and risk stratification of bladder cancer (2021, Clinical Epigenetics)
  • An Artificial Intelligence System for the Detection of Bladder Cancer via Cystoscopy: A Multicenter Diagnostic Study (2021, JNCI Journal of the National Cancer Institute)

Frequent co-authors with whom Xu has collaborated include Tianxin Lin, Jian Huang, Yang Xu, Zefeng Yang, and Chenwu Xu.

Shizhong Xu has published extensively in the following venues:

  • arXiv (Cornell University)
  • Genetics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Frontiers in Plant Science

Among their recognitions, Xu was named a Fellow of the American Association for the Advancement of Science (AAAS) in 2006.

Best Publications

  • Theoretical basis of the Beavis effect.

    Shizhong Xu

  • Estimating polygenic effects using markers of the entire genome.

    Shizhong Xu

  • Improving power and accuracy of genome-wide association studies via a multi-locus mixed linear model methodology

    Shi-Bo Wang;Jian-Ying Feng;Wen-Long Ren;Bo Huang

  • Bayesian LASSO for Quantitative Trait Loci Mapping

    Nengjun Yi;Shizhong Xu

  • Urine DNA methylation assay enables early detection and recurrence monitoring for bladder cancer

    Xu Chen;Jingtong Zhang;Weimei Ruan;Ming Huang

  • Predicting hybrid performance in rice using genomic best linear unbiased prediction

    Shizhong Xu;Dan Zhu;Qifa Zhang

  • Quantitative Trait Locus Mapping Can Benefit from Segregation Distortion

    Shizhong Xu

  • A random model approach to interval mapping of quantitative trait loci.

    Shizhong Xu;W. R. Atchley

  • Bayesian Shrinkage Estimation of Quantitative Trait Loci Parameters

    Hui Wang;Yuan-Ming Zhang;Xinmin Li;Godfred L. Masinde

  • An empirical Bayes method for estimating epistatic effects of quantitative trait loci.

    Shizhong Xu

  • Mapping quantitative trait loci for complex binary diseases using line crosses.

    Shizhong Xu;William R. Atchley

  • Mapping quantitative trait loci using naturally occurring genetic variance among commercial inbred lines of maize (Zea mays L.).

    Yuan-Ming Zhang;Yongcai Mao;Chongqing Xie;Howie Smith

  • Genome-wide dissection of the maize ear genetic architecture using multiple populations.

    Yingjie Xiao;Hao Tong;Xiaohong Yang;Shizhong Xu

  • Multipoint mapping of viability and segregation distorting loci using molecular markers.

    Claus Vogl;Claus Vogl;Shizhong Xu

  • Mapping Quantitative Trait Loci by Controlling Polygenic Background Effects

    Shizhong Xu

  • Quantitative trait loci responsible for variation in sexually dimorphic traits in Drosophila melanogaster.

    Artyom Kopp;Rita M Graze;Shizhong Xu;Sean B Carroll

  • Genomewide Analysis of Epistatic Effects for Quantitative Traits in Barley

    Shizhong Xu;Zhenyu Jia

  • Bayesian mapping of quantitative trait loci for complex binary traits.

    Nengjun Yi;Shizhong Xu

  • Bayesian Model Choice and Search Strategies for Mapping Interacting Quantitative Trait Loci

    Nengjun Yi;Shizhong Xu;David B Allison

  • Alternative partitioning of the genotype-by-environment interaction.

    Muir W;Nyquist We;Xu S

Frequent Co-Authors

William M. Muir
William M. Muir Purdue University West Lafayette
Chenwu Xu
Chenwu Xu Yangzhou University
Timothy J. Close
Timothy J. Close University of California, Riverside
Subburaman Mohan
Subburaman Mohan Loma Linda University
Philip A. Roberts
Philip A. Roberts University of California, Riverside
Dan Mercola
Dan Mercola University of California, Irvine
David J. Baylink
David J. Baylink Loma Linda University
Qifa Zhang
Qifa Zhang Huazhong Agricultural University
David B. Allison
David B. Allison Indiana University
Michael McClelland
Michael McClelland University of California, Irvine

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Related Online Degrees & Career Pathways

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