World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
85
Citations
29393
World Ranking
1302
National Ranking
620

Medicine

D-Index
85
Citations
29883
World Ranking
14505
National Ranking
7337

Zhongming Zhao 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 Zhongming Zhao 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: 474 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Zhongming Zhao 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 Zhongming Zhao 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: 85 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Zhongming Zhao is affiliated with The University of Texas Health Science Center at Houston in the United States. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with a detailed focus in Molecular Biology, Genetics, Cancer Research, Oncology, and Immunology.

The scientist's published work covers a variety of topics including Bioinformatics and Genomic Networks, Single-cell and Spatial Transcriptomics, Gene Expression and Cancer Classification, Cancer Genomics and Diagnostics, Genetic Associations and Epidemiology, AI in Cancer Detection, and RNA Modifications and Cancer.

Frequent publication venues for Zhongming Zhao include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Genetics
  • Scientific Reports
  • Genes
  • Neuro-Oncology

Collaborations are an important aspect of Zhongming Zhao's work, with frequent co-authors being:

  • Yulin Dai
  • Peilin Jia
  • Saurav Mallik
  • Guangsheng Pei
  • Brisa S. Fernandes

Among the recent papers authored or co-authored by Zhongming Zhao are:

  • "Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis" (2020), Nature Communications
  • "The allergy mediator histamine confers resistance to immunotherapy in cancer patients via activation of the macrophage histamine receptor H1" (2021), Cancer Cell
  • "Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data" (2022), Frontiers in Genetics
  • "WebCSEA: web-based cell-type-specific enrichment analysis of genes" (2022), Nucleic Acids Research
  • "Insulin resistance in depression: A large meta-analysis of metabolic parameters and variation" (2022), Neuroscience & Biobehavioral Reviews

Best Publications

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas

    Theo A Knijnenburg;Linghua Wang;Michael T Zimmermann;Nyasha Chambwe

  • Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives

    Min Zhao;Qingguo Wang;Quan Wang;Peilin Jia

  • Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis

    Maximilian Strunz;Lukas M. Simon;Meshal Ansari;Jaymin J. Kathiriya

  • Interaction with WDR5 Promotes Target Gene Recognition and Tumorigenesis by MYC

    L.R. Thomas;Q. Wang;B.C. Grieb;J. Phan

  • Hdac3 is essential for the maintenance of chromatin structure and genome stability.

    Srividya Bhaskara;Sarah K. Knutson;Guochun Jiang;Mahesh B. Chandrasekharan

  • Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties.

    Feixiong Cheng;Zhongming Zhao

  • TSGene: a web resource for tumor suppressor genes

    Min Zhao;Jingchun Sun;Zhongming Zhao

  • TSGene 2.0: an updated literature-based knowledgebase for tumor suppressor genes

    Min Zhao;Pora Kim;Ramkrishna Mitra;Junfei Zhao

  • Asprosin is a centrally acting orexigenic hormone.

    Clemens Duerrschmid;Yanlin He;Chunmei Wang;Chia Li

  • Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers.

    Xinxin Peng;Zhongyuan Chen;Farshad Farshidfar;Xiaoyan Xu

  • Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs

    Mei Liu;Yonghui Wu;Yukun Chen;Jingchun Sun

  • dmGWAS: dense module searching for genome-wide association studies in protein–protein interaction networks

    Peilin Jia;Siyuan Zheng;Jirong Long;Wei Zheng

  • Rationale for co-targeting IGF-1R and ALK in ALK fusion-positive lung cancer

    Christine M. Lovly;Nerina T. McDonald;Heidi Chen;Sandra Ortiz-Cuaran

  • Moderate mutation rate in the SARS coronavirus genome and its implications.

    Zhongming Zhao;Haipeng Li;Xiaozhuang Wu;Yixi Zhong

  • Potential metabolite markers of schizophrenia

    J Yang;T Chen;L Sun;L Sun;Z Zhao

  • Whole genome sequencing reveals oncogenic mutations in mycosis fungoides

    Laura Y. McGirt;Peilin Jia;Devin A. Baerenwald;Robert J. Duszynski

  • Investigating single nucleotide polymorphism (SNP) density in the human genome and its implications for molecular evolution

    Zhongming Zhao;Yun-Xin Fu;David Hewett-Emmett;Eric Boerwinkle

  • Common variants conferring risk of schizophrenia: a pathway analysis of GWAS data

    Peilin Jia;Lily Wang;Herbert Y. Meltzer;Zhongming Zhao

  • Gene set analysis of genome-wide association studies: methodological issues and perspectives

    Lily Wang;Peilin Jia;Russell D. Wolfinger;Xi Chen

Frequent Co-Authors

Peilin Jia
Peilin Jia The University of Texas Health Science Center at Houston
Feixiong Cheng
Feixiong Cheng Case Western Reserve University
William Pao
William Pao Roche (United States)
Kenneth S. Kendler
Kenneth S. Kendler Virginia Commonwealth University
Hua Xu
Hua Xu Yale University
Leng Han
Leng Han Indiana University – Purdue University Indianapolis
Min Zhao
Min Zhao University of the Sunshine Coast
Yufei Huang
Yufei Huang University of Pittsburgh
An-Yuan Guo
An-Yuan Guo Huazhong University of Science and Technology
Brien P. Riley
Brien P. Riley Virginia Commonwealth University

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Related Online Degrees & Career Pathways

If you're considering a degree in Genetics, there are several related online programs and career pathways in the rapidly expanding healthcare sector. Fields such as medical billing, coding, nursing, and healthcare administration complement genetics expertise and offer diverse opportunities.

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For those interested in healthcare management, there are plenty of healthcare administration degrees available online, including health administration degrees online that are both accelerated and affordable. These programs develop essential leadership skills applicable in genetics research, patient care, and policy development. Exploring these related options can help broaden your career prospects and tailor your education to specific goals within the healthcare and life sciences industries.

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