World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

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

Shizhong Xu publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Shizhong Xu sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 202 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Shizhong Xu D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Shizhong Xu sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 66 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

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

Pursuing a degree in Genetics can open doors to a wide range of healthcare careers, both in research and in practical settings. However, students interested in genetics may also want to explore other online degrees and certifications that complement or enhance their expertise.

For example, earning a certification through medical billing and coding online courses can prepare individuals for essential roles in healthcare data management—a crucial area for genetic research and clinical practice.

If direct patient care is of interest, there are good nursing schools with high acceptance rates offering online pathways. Nursing provides a hands-on perspective that aligns well with genetics, especially as genomics becomes increasingly important in patient care.

Students aiming for leadership roles should consider a healthcare administration degree to gain skills in managing genetics-focused healthcare organizations or laboratories. Interested in cost-effective options? Explore the healthcare administration degree cost to find affordable programs that fit your budget.

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