World's Best Scientists 2026 revealed!

D-Index & Metrics

Molecular Biology

D-Index
58
Citations
14962
World Ranking
2070
National Ranking
58

Ze-Guang Han publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Ze-Guang Han sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 200 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Ze-Guang Han D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Ze-Guang Han sits on this spectrum.

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 58 D-Index — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Ze-Guang Han is affiliated with Shanghai Jiao Tong University in China. Their research predominantly lies within the fields of Medicine and Biochemistry, Genetics and Molecular Biology, contributing to a substantial body of work. The scientist has been involved in multiple areas of study with considerable focus on Molecular Biology, Cancer Research, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, and Health, Toxicology and Mutagenesis.

Han's research covers a range of main topics, including:

  • Cancer Genomics and Diagnostics
  • Spectroscopy and Laser Applications
  • Air Quality and Health Impacts
  • Climate Change and Health Impacts
  • Single-cell and spatial transcriptomics
  • Lung Cancer Treatments and Mutations
  • Gas Sensing Nanomaterials and Sensors

The scientist has published frequently in these venues:

  • SSRN Electronic Journal
  • PubMed
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Ecotoxicology and Environmental Safety
  • Frontiers in Endocrinology

Some of Han's recent publications include:

  • Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection, 2020, Frontiers of Medicine
  • SARS-CoV-2 Orf9b suppresses type I interferon responses by targeting TOM70, 2020, Cellular and Molecular Immunology
  • Association of TyG index and TG/HDL-C ratio with arterial stiffness progression in a non-normotensive population, 2021, Cardiovascular Diabetology
  • Investigating higher-order interactions in single-cell data with scHOT, 2020, Nature Methods
  • Triglyceride glucose index and carotid atherosclerosis incidence in the Chinese population: A prospective cohort study, 2021, Nutrition Metabolism and Cardiovascular Diseases

Frequent collaborators include:

  • Xianbin Su
  • Lixin Tao
  • Xiuhua Guo
  • Zhiyuan Wu
  • Jinqi Wang

Best Publications

  • Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection.

    Xin Zou;Ke Chen;Jiawei Zou;Peiyi Han

  • The Schistosoma japonicum genome reveals features of host-parasite interplay

    Yan Zhou;Huajun Zheng;Yangyi Chen;Lei Zhang

  • Identification of gene expression profile of dorsal root ganglion in the rat peripheral axotomy model of neuropathic pain

    HS Xiao;QH Huang;FX Zhang;L Bao

  • Insight into hepatocellular carcinogenesis at transcriptome level by comparing gene expression profiles of hepatocellular carcinoma with those of corresponding noncancerous liver.

    Xiang-Ru Xu;Jian Huang;Zhi-Gang Xu;Bin-Zhi Qian

  • Exome sequencing of hepatitis B virus–associated hepatocellular carcinoma

    Jian Huang;Qing Deng;Qing Deng;Qun Wang;Qun Wang;Kun Yu Li

  • Integrative Annotation of 21,037 Human Genes Validated by Full-Length cDNA Clones

    Tadashi Imanishi;Takeshi Itoh;Yutaka Suzuki;Claire O'Donovan

  • Evolutionary and biomedical implications of a Schistosoma japonicum complementary DNA resource

    Wei Hu;Qing Yan;Da-Kang Shen;Feng Liu

  • New Perspectives on Host-Parasite Interplay by Comparative Transcriptomic and Proteomic Analyses of Schistosoma japonicum

    Feng Liu;Jiong Lu;Wei Hu;Sheng-Yue Wang

  • SARS-CoV-2 Orf9b suppresses type I interferon responses by targeting TOM70.

    He wei Jiang;Hai nan Zhang;Qing feng Meng;Jia Xie

  • Loss of microRNA-143/145 disturbs cellular growth and apoptosis of human epithelial cancers by impairing the MDM2-p53 feedback loop.

    Zhang J;Sun Q;Zhang Z;Ge S

  • Cloning and Functional Analysis of cDNAs with Open Reading Frames for 300 Previously Undefined Genes Expressed in CD34+ Hematopoietic Stem/Progenitor Cells

    Qing Hua Zhang;Min Ye;Xin Yan Wu;Shuang Xi Ren

  • Circulating Tumor Cells Undergoing EMT Provide a Metric for Diagnosis and Prognosis of Patients with Hepatocellular Carcinoma.

    Lu-Nan Qi;Lu-Nan Qi;Bang-De Xiang;Bang-De Xiang;Fei-Xiang Wu;Fei-Xiang Wu;Jia-Zhou Ye

  • Epigenetic modification induced by hepatitis B virus X protein via interaction with de novo DNA methyltransferase DNMT3A

    Da Li Zheng;Li Zhang;Na Cheng;Na Cheng;Xiao Xu;Xiao Xu

  • Excretory/Secretory Proteome of the Adult Developmental Stage of Human Blood Fluke, Schistosoma japonicum

    Feng Liu;Feng Liu;Shu-Jian Cui;Wei Hu;Zheng Feng

  • Definition of the landscape of promoter DNA hypomethylation in liver cancer.

    Barbara Stefanska;Jian Huang;Bishnu Bhattacharyya;Matthew Suderman

  • Identification of genes expressed in human CD34+ hematopoietic stem/progenitor cells by expressed sequence tags and efficient full-length cDNA cloning

    Mao Mao;Gang Fu;Ji-Sheng Wu;Qing-Hua Zhang

  • Schistosoma Genomics: New Perspectives on Schistosome Biology and Host-Parasite Interaction

    Ze-Guang Han;Paul J. Brindley;Sheng-Yue Wang;Zhu Chen

  • mTOR signaling pathway is a target for the treatment of colorectal cancer.

    Yan-Jie Zhang;Qiang Dai;Dan-Feng Sun;Hua Xiong

  • A three-lncRNA signature derived from the Atlas of ncRNA in cancer (TANRIC) database predicts the survival of patients with head and neck squamous cell carcinoma.

    Wei Cao;Jian-nan Liu;Zeqi Liu;Xu Wang

  • scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets

    Yingxin Lin;Shila Ghazanfar;Kevin Y X Wang;Johann A Gagnon-Bartsch

Frequent Co-Authors

Zhu Chen
Zhu Chen Shanghai Jiao Tong University
Jian Huang
Jian Huang University of Iowa
Qinghua Zhang
Qinghua Zhang Southwest Jiaotong University
Donald P. McManus
Donald P. McManus Australian National University
Paul J. Brindley
Paul J. Brindley George Washington University
William T. Pu
William T. Pu Boston Children's Hospital
Pengyuan Yang
Pengyuan Yang Fudan University
Moshe Szyf
Moshe Szyf McGill University
Shengyue Wang
Shengyue Wang Chinese National Human Genome Center
Matthew Suderman
Matthew Suderman University of Bristol

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