World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
48
Citations
9369
World Ranking
15151
National Ranking
2352

Mingyue Zheng publication distribution in Chemistry in 2026

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

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 195 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Mingyue Zheng D-index placement in Chemistry in 2026

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

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 48 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Mingyue Zheng is a researcher affiliated with the Chinese Academy of Sciences in China. Their work spans various interdisciplinary domains within biochemistry, genetics, and molecular biology, with a specific focus on computational approaches and drug discovery methodologies.

The scientist has contributed extensively to the field of Biochemistry, Genetics and Molecular Biology, authoring 251 documented publications. Their subfield expertise includes Molecular Biology with 211 publications, Computational Theory and Mathematics with 65, Immunology with 40, Materials Chemistry with 38, and Organic Chemistry with 36.

The main research topics covered in their publications are:

  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • Protein Structure and Dynamics
  • Bioinformatics and Genomic Networks
  • Interferon and Immune Responses
  • Chemical Synthesis and Analysis
  • Protein Degradation and Inhibitors

Mingyue Zheng has frequently published in a variety of scientific journals and platforms. The most common publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Medicinal Chemistry
  • Nature Communications
  • arXiv (Cornell University)
  • Bioorganic Chemistry

Some of the recent papers authored or coauthored by Mingyue Zheng include:

  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments (2020, Bioinformatics)
  • Generative Models for De Novo Drug Design (2021, Journal of Medicinal Chemistry)
  • Regulating Glucose Metabolism with Prodrug Nanoparticles for Promoting Photoimmunotherapy of Pancreatic Cancer (2021, Advanced Science)
  • Graph neural networks for automated de novo drug design (2021, Drug Discovery Today)
  • Optimization of metabolomic data processing using NOREVA (2021, Nature Protocols)

Collaborative research is a significant aspect of Mingyue Zheng's scientific contributions. Frequent coauthors include:

  • Xutong Li
  • Hualiang Jiang
  • Sulin Zhang
  • Zunyun Fu
  • Xiaomin Luo

Best Publications

  • Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism.

    Zhaoping Xiong;Zhaoping Xiong;Dingyan Wang;Xiaohong Liu;Xiaohong Liu;Feisheng Zhong

  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments.

    Lifan Chen;Xiaoqin Tan;Dingyan Wang;Feisheng Zhong

  • In silico ADME/T modelling for rational drug design

    Yulan Wang;Jing Xing;Yuan Xu;Nannan Zhou

  • Preclinical characterization of anlotinib, a highly potent and selective vascular endothelial growth factor receptor-2 inhibitor.

    Chengying Xie;Xiaozhe Wan;Haitian Quan;Mingyue Zheng

  • Artificial intelligence in drug design.

    Feisheng Zhong;Jing Xing;Xutong Li;Xiaohong Liu;Xiaohong Liu

  • Generative Models for De Novo Drug Design.

    Xiaochu Tong;Xiaohong Liu;Xiaoqin Tan;Xutong Li

  • Magnetic properties of nanosized MnFe2O4 particles

    M Zheng;X.C Wu;B.S Zou;Y.J Wang

  • Graph neural networks for automated de novo drug design.

    Jiacheng Xiong;Zhaoping Xiong;Kaixian Chen;Hualiang Jiang

  • Regulating Glucose Metabolism with Prodrug Nanoparticles for Promoting Photoimmunotherapy of Pancreatic Cancer.

    Fang Sun;Fang Sun;Qiurong Zhu;Tianliang Li;Madiha Saeed

  • Syntheses of triazole-modified zanamivir analogues via click chemistry and anti-AIV activities.

    Jian Li;Mingyue Zheng;Wei Tang;Pei-Lan He

  • Lactic acid production from acidogenic fermentation of fruit and vegetable wastes

    Yuanyuan Wu;Hailing Ma;Mingyue Zheng;Kaijun Wang

  • Site of metabolism prediction for six biotransformations mediated by cytochromes P450

    Mingyue Zheng;Xiaomin Luo;Qiancheng Shen;Yong Wang

  • Identifying novel selective non-nucleoside DNA methyltransferase 1 inhibitors through docking-based virtual screening.

    Shijie Chen;Yulan Wang;Wen Zhou;Shanshan Li

  • Discovery of Highly Potent, Selective, and Orally Efficacious p300/CBP Histone Acetyltransferases Inhibitors.

    Yaxi Yang;Rukang Zhang;Zhaojun Li;Lianghe Mei

  • Astemizole Arrests the Proliferation of Cancer Cells by Disrupting the EZH2-EED Interaction of Polycomb Repressive Complex 2

    Xiangqian Kong;Limin Chen;Lianying Jiao;Xiangrui Jiang

  • Computational methods for drug design and discovery: focus on China.

    Mingyue Zheng;Xian Liu;Yuan Xu;Honglin Li

  • Sequence-based drug design as a concept in computational drug design

    Unknown

  • Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation

    Xutong Li;Zhaojun Li;Xiaolong Wu;Xiaolong Wu;Zhaoping Xiong;Zhaoping Xiong

  • Focused combinatorial library design based on structural diversity, druglikeness and binding affinity score.

    Gang Chen;Suxin Zheng;Xiaomin Luo;Jianhua Shen

  • Effect of pH on ethanol-type acidogenic fermentation of fruit and vegetable waste.

    Yuanyuan Wu;Cuiping Wang;Mingyue Zheng;Jiane Zuo

  • Molecular basis of NDM-1, a new antibiotic resistance determinant.

    Zhongjie Liang;Lianchun Li;Lianchun Li;Yuanyuan Wang;Limin Chen

  • Discovering Potent Inhibitors Against the beta-Hydroxyacyl-Acyl Carrier Protein Dehydratase (FabZ) of Helicobacter pylori: Structure-Based Design, Synthesis, Bioassay, and Crystal Structure Determination

    Lingyan He;Liang Zhang;Xiaofeng Liu;Xianghua Li

  • Computational screening for active compounds targeting protein sequences: methodology and experimental validation.

    Fei Wang;Dongxiang Liu;Heyao Wang;Cheng Luo

  • A solid model-based milling process simulation and optimization system integrated with CAD/CAM

    Z.Z Li;M Zheng;L Zheng;Z.J Wu

  • Recent Advances in Neuraminidase Inhibitor Development as Anti-influenza Drugs

    Enguang Feng;Deju Ye;Jian Li;Dengyou Zhang

  • In Silico target fishing: addressing a "Big Data" problem by ligand-based similarity rankings with data fusion.

    Xian Liu;Yuan Xu;Shanshan Li;Yulan Wang

Frequent Co-Authors

Hualiang Jiang
Hualiang Jiang Chinese Academy of Sciences
Kaixian Chen
Kaixian Chen Chinese Academy of Sciences
Xiaomin Luo
Xiaomin Luo Chinese Academy of Sciences
Cheng Luo
Cheng Luo Chinese Academy of Sciences
Hong Liu
Hong Liu Shandong University
Weiliang Zhu
Weiliang Zhu Chinese Academy of Sciences
Yulan Wang
Yulan Wang Nanyang Technological University
Lei Chen
Lei Chen Shanghai Maritime University
Yu-Dong Cai
Yu-Dong Cai Shanghai University
Meiyu Geng
Meiyu Geng Chinese Academy of Sciences

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