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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Molecular Biology 58 2070 1863 58 58 200 14962

Ze-Guang Han publications per year

The chart shows the history of publications by Ze-Guang Han between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ze-Guang Han published across 28 years, from 1998 to 2025, averaging 15.3 papers a year. Output peaked at 141 publications in 2023. 67 of the 427 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 1998 to 2025. Vertical axis: number of publications, 0 to 141. Peak 141 publications in 2023. 1998: 4 publications 1999: 1 publication 2000: 3 publications 2001: 2 publications 2002: 6 publications 2003: 10 publications 2004: 8 publications 2005: 5 publications 2006: 11 publications 2007: 9 publications 2008: 9 publications 2009: 19 publications 2010: 21 publications 2011: 5 publications 2012: 10 publications 2013: 15 publications 2014: 7 publications 2015: 7 publications 2016: 8 publications 2017: 8 publications 2018: 6 publications 2019: 15 publications 2020: 11 publications 2021: 6 publications 2022: 13 publications 2023: 141 publications 2024: 23 publications 2025: 44 publications
1998 2025

427 publications in total across all disciplines

View publications per year as a table
Ze-Guang Han: publications per year, 1998 to 2025
Year Publications
1998 4
1999 1
2000 3
2001 2
2002 6
2003 10
2004 8
2005 5
2006 11
2007 9
2008 9
2009 19
2010 21
2011 5
2012 10
2013 15
2014 7
2015 7
2016 8
2017 8
2018 6
2019 15
2020 11
2021 6
2022 13
2023 141
2024 23
2025 44
Total 427
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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.

No. of scientists
50 100 150
Bar chart with 53 bars. Horizontal axis: publications, 47–56 to 564+. Vertical axis: number of scientists, 0 to 177. Most scientists, 177, have 117–126 publications. The last bar groups every scientist with 564 publications or more. The highlighted bar, 197–206 publications, is where this scientist sits. 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
47–56 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.

View publications distribution as a table
Number of Molecular Biology scientists by publication count, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
Publications Scientists This scientist
47–56 7
57–66 17
67–76 65
77–86 90
87–96 125
97–106 131
107–116 162
117–126 177
127–136 158
137–146 158
147–156 146
157–166 159
167–176 131
177–186 110
187–196 112
197–206 100 200
207–216 89
217–226 98
227–236 74
237–246 72
247–256 63
257–266 53
267–276 54
277–286 49
287–296 52
297–306 43
307–316 46
317–326 41
327–336 42
337–346 31
347–356 28
357–366 29
367–376 26
377–386 24
387–396 24
397–406 14
407–416 13
417–426 20
427–436 12
437–446 20
447–456 11
457–466 10
467–476 14
477–486 14
487–496 10
497–506 13
507–516 13
517–526 2
527–536 4
537–546 6
547–556 8
557–563 6
564+ 100
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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.

No. of scientists
25 50 75 100 125
Bar chart with 54 bars. Horizontal axis: D-Index, 40–41 to 145+. Vertical axis: number of scientists, 0 to 131. Most scientists, 131, have 64–65 D-Index. The last bar groups every scientist with 145 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 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
40–41 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.

View D-Index distribution as a table
Number of Molecular Biology scientists by D-index, Research.com 2026 ranking edition. Based on 3,076 ranked scientists.
D-Index Scientists This scientist
40–41 36
42–43 101
44–45 115
46–47 121
48–49 118
50–51 130
52–53 106
54–55 116
56–57 113
58–59 129 58
60–61 120
62–63 105
64–65 131
66–67 95
68–69 97
70–71 106
72–73 83
74–75 89
76–77 77
78–79 70
80–81 73
82–83 60
84–85 48
86–87 45
88–89 50
90–91 31
92–93 51
94–95 43
96–97 38
98–99 39
100–101 41
102–103 29
104–105 33
106–107 35
108–109 20
110–111 38
112–113 19
114–115 28
116–117 13
118–119 23
120–121 16
122–123 15
124–125 11
126–127 21
128–129 7
130–131 13
132–133 14
134–135 17
136–137 9
138–139 8
140–141 16
142–143 7
144 7
145+ 100
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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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