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Dong-Qing Wei

D-Index & Metrics

Biology and Biochemistry

D-Index
73
Citations
17087
World Ranking
6010
National Ranking
189

Chemistry

D-Index
68
Citations
14506
World Ranking
6631
National Ranking
1177

Dong-Qing Wei publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Dong-Qing Wei sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 477 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Dong-Qing Wei D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Dong-Qing Wei sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 73 D-Index — 71st percentile

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

The last bar groups every scientist with 167 D-Index or more.

Overview

Dong-Qing Wei is affiliated with Shanghai Jiao Tong University in China and has contributed to research primarily within the fields of Biochemistry, Genetics and Molecular Biology, as well as Medicine. Their work spans a range of subfields including Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, and Cancer Research.

The scientist's research topics cover diverse areas such as Computational Drug Discovery Methods, vaccines and immunoinformatics approaches, SARS-CoV-2 and COVID-19 Research, Machine Learning in Bioinformatics, Protein Structure and Dynamics, Monoclonal and Polyclonal Antibodies Research, and RNA and protein synthesis mechanisms.

Recent notable papers authored by Dong-Qing Wei include:

  • "Higher infectivity of the SARS-CoV-2 new variants is associated with K417N/T, E484K, and N501Y mutants: An insight from structural data" (2021), Journal of Cellular Physiology
  • "Marine natural compounds as potents inhibitors against the main protease of SARS-CoV-2-a molecular dynamic study" (2020), Journal of Biomolecular Structure and Dynamics
  • "A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design" (2022), Nature Machine Intelligence
  • "MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism" (2021), Briefings in Bioinformatics
  • "Human Intestinal Defensin 5 Inhibits SARS-CoV-2 Invasion by Cloaking ACE2" (2020), Gastroenterology

Frequent co-authors who have collaborated extensively with Dong-Qing Wei include Abbas Khan, Syed Shujait Ali, Muhammad Suleman, and Aman Chandra Kaushik.

The scientist's work has been published repeatedly in specific venues, reflecting their active engagement in specialized areas. These frequent publication venues are:

  • Computers in Biology and Medicine
  • Journal of Biomolecular Structure and Dynamics
  • Briefings in Bioinformatics
  • Interdisciplinary Sciences Computational Life Sciences
  • bioRxiv (Cold Spring Harbor Laboratory)

In addition to research articles, Dong-Qing Wei has contributed to book publications, including a work published by Frontiers Media titled Breast Cancer Resistance, Biomarkers and Therapeutics Development in the Era of Artificial Intelligence released in 2022.

Best Publications

  • Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS.

    Kuo-Chen Chou;Dong-Qing Wei;Wei-Zhu Zhong

  • Orientational order in simple dipolar liquids: Computer simulation of a ferroelectric nematic phase.

    Dongqing Wei;G. N. Patey

  • Higher infectivity of the SARS-CoV-2 new variants is associated with K417N/T, E484K, and N501Y mutants: An insight from structural data.

    Abbas Khan;Tauqir Zia;Muhammad Suleman;Taimoor Khan

  • A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design

    Unknown

  • Ferroelectric liquid-crystal and solid phases formed by strongly interacting dipolar soft spheres

    Dongqing Wei;G. N. Patey

  • Human Intestinal Defensin 5 Inhibits SARS-CoV-2 Invasion by Cloaking ACE2

    Unknown

  • DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features

    Yanyi Chu;Aman Chandra Kaushik;Xiangeng Wang;Wei Wang

  • Hydrated proton clusters and solvent effects on the proton transfer barrier: A density functional study

    Dongqing Wei;D. R. Salahub

  • Virtual Screening for SARS-CoV Protease Based on KZ7088 Pharmacophore Points†

    Suzanne Sirois;Dong Qing Wei;Qishi Du;Kuo Chen Chou

  • MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism.

    Shenggeng Lin;Yanjing Wang;Lingfeng Zhang;Yanyi Chu

  • Current updates on computer aided protein modeling and designing.

    Faez Iqbal Khan;Dong-Qing Wei;Ke-Ren Gu;Md. Imtaiyaz Hassan

  • Progress in Computational Approach to Drug Development Against SARS

    Kuo Chen Chou;Dong Qing Wei;Qi Shi Du;Suzanne Sirois

  • Marine natural compounds as potents inhibitors against the main protease of SARS-CoV-2-a molecular dynamic study.

    Muhammad Tahir Khan;Arif Ali;Qiankun Wang;Muhammad Irfan

  • Immunoinformatics approaches to explore Helicobacter Pylori proteome (Virulence Factors) to design B and T cell multi-epitope subunit vaccine

    Mazhar Khan;Shahzeb Khan;Asim Ali;Hameed Akbar

  • 3D structure modeling of cytochrome P450 2C19 and its implication for personalized drug design.

    Jing Fang Wang;Dong Qing Wei;Lin Li;Lin Li;Si Yuan Zheng

  • Analytical solution of the mean spherical approximation for an arbitrary mixture of ions in a dipolar solvent

    L. Blum;D. Q. Wei

  • Molecular Modeling of Two CYP2C19 SNPs and Its Implications for Personalized Drug Design

    Dong-Qing Wei;Jing-Fang Wang;Chao Chen;Yixue Li

  • The Omicron (B.1.1.529) variant of SARS-CoV-2 binds to the hACE2 receptor more strongly and escapes the antibody response: Insights from structural and simulation data

    Unknown

  • Hydrated proton clusters: Ab initio molecular dynamics simulation and simulated annealing

    Dongqing Wei;D. R. Salahub

  • Drug candidates from traditional chinese medicines.

    Jing-Fang Wang;Dong-Qing Wei;Kuo-Chen Chou

  • Insights from modeling the 3D structure of H5N1 influenza virus neuraminidase and its binding interactions with ligands.

    Dong-Qing Wei;Qi-Shi Du;Qi-Shi Du;Hao Sun;Kuo-Chen Chou

  • Molecular modeling and chemical modification for finding peptide inhibitor against severe acute respiratory syndrome coronavirus main proteinase.

    Qishi Du;Shuqing Wang;Dongqing Wei;Dongqing Wei;Suzanne Sirois

  • Virtual screening-driven drug discovery of SARS-CoV2 enzyme inhibitors targeting viral attachment, replication, post-translational modification and host immunity evasion infection mechanisms.

    Mark Tristan J. Quimque;Mark Tristan J. Quimque;Kin Israel R. Notarte;Rey Arturo T. Fernandez;Mark Andrew O. Mendoza

  • A combined density functional and molecular dynamics simulation of a quantum water molecule in aqueous solution

    Dongqing Wei;D.R. Salahub

Frequent Co-Authors

Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
G. N. Patey
G. N. Patey University of British Columbia
Yixue Li
Yixue Li Chinese Academy of Sciences
William C S Cho
William C S Cho Hospital Authority
Jijun Zhao
Jijun Zhao Dalian University of Technology
Amalendu Chandra
Amalendu Chandra Indian Institute of Technology Kanpur
Jeremy C. Smith
Jeremy C. Smith University of Tennessee at Knoxville
Weiliang Zhu
Weiliang Zhu Chinese Academy of Sciences
Luonan Chen
Luonan Chen Chinese Academy of Sciences
Dennis R. Salahub
Dennis R. Salahub University of Calgary

External Links

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Best Scientists Citing Dong-Qing Wei

Kuo-Chen Chou

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Publications: 51

Amalendu Chandra

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Publications: 41

Biman Bagchi

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Publications: 30

Faizan Ahmad

Faizan Ahmad

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Publications: 22

G. N. Patey

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Publications: 17

Quan Zou

Quan Zou

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Publications: 16

Yu-Dong Cai

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Publications: 15

Humberto González-Díaz

Humberto González-Díaz

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Publications: 15

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Heming Xiao

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Publications: 15

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Harold L. Friedman

Stony Brook University

Publications: 14

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Publications: 12

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Publications: 11

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Publications: 11

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Kwang S. Kim

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