World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
48
Citations
11023
World Ranking
15077
National Ranking
2339

Xiaomin Luo 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 Xiaomin Luo 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: 207 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Xiaomin Luo 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 Xiaomin Luo 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

Xiaomin Luo is affiliated with the Chinese Academy of Sciences in China and has a substantial record of research contributions in the fields of Biochemistry, Genetics, and Molecular Biology as well as Medicine. Their work spans multiple subfields including Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Oncology, and Pharmacology.

The primary topics of their research focus on Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Degradation and Inhibitors, Protein Structure and Dynamics, Crystallization and Solubility Studies, Ubiquitin and Proteasome Pathways, and Liver Disease Diagnosis and Treatment.

Key recent publications by this scientist include:

  • TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments, 2020, Bioinformatics
  • Sequence-based drug design as a concept in computational drug design, 2023, Nature Communications
  • NAT10/ac4C/FOXP1 Promotes Malignant Progression and Facilitates Immunosuppression by Reprogramming Glycolytic Metabolism in Cervical Cancer, 2023, Advanced Science
  • Machine-Learning-Guided Cocrystal Prediction Based on Large Data Base, 2020, Crystal Growth & Design
  • Discovery of thalidomide-based PROTAC small molecules as the highly efficient SHP2 degraders, 2021, European Journal of Medicinal Chemistry

Frequent venue selections for publishing their research reflect the scope and focus of their scientific contributions, with multiple publications appearing in:

  • Journal of Medicinal Chemistry
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PubMed
  • SSRN Electronic Journal
  • The Cambridge Structural Database

Luo has collaborated extensively with several coauthors, with numerous joint publications including those with Mingyue Zheng, Dingyan Wang, Kaixian Chen, Hualiang Jiang, and Xutong Li.

Best Publications

  • Predicting protein-protein interactions based only on sequences information.

    Juwen Shen;Jian Zhang;Xiaomin Luo;Weiliang Zhu

  • 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

  • PDTD: a web-accessible protein database for drug target identification

    Zhenting Gao;Zhenting Gao;Honglin Li;Honglin Li;Hailei Zhang;Xiaofeng Liu

  • Conformational transition of amyloid β-peptide

    Yechun Xu;Jianhua Shen;Xiaomin Luo;Weiliang Zhu

  • Artificial intelligence in drug design.

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

  • Cinanserin Is an Inhibitor of the 3C-Like Proteinase of Severe Acute Respiratory Syndrome Coronavirus and Strongly Reduces Virus Replication In Vitro

    Lili Chen;Chunshan Gui;Xiaomin Luo;Qingang Yang

  • Virtual Screening on Natural Products for Discovering Active Compounds and Target Information

    Jianhua Shen;Xiaoying Xu;Feng Cheng;Hong Liu

  • BZS1, a B-box Protein, Promotes Photomorphogenesis Downstream of Both Brassinosteroid and Light Signaling Pathways

    Xi-Ying Fan;Yu Sun;Dong-Mei Cao;Ming-Yi Bai

  • Nucleocapsid Protein of SARS Coronavirus Tightly Binds to Human Cyclophilin A

    Cheng Luo;Haibin Luo;Suxin Zheng;Chunshan Gui

  • Progress in clinical, pharmacological, chemical and structural biological studies of huperzine A: a drug of traditional chinese medicine origin for the treatment of Alzheimer's disease.

    Hualiang Jiang;Xiaomin Luo;Donglu Bai

  • 3D-QSAR model of flavonoids binding at benzodiazepine site in GABAA receptors.

    XQ Huang;T. Liu;JD Gu;XM Luo

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

    Mingyue Zheng;Xiaomin Luo;Qiancheng Shen;Yong Wang

  • Steered molecular dynamics simulation on the binding of NNRTI to HIV-1 RT.

    Lingling Shen;Jianhua Shen;Xiaomin Luo;Feng Cheng

  • Pharmacophore-based virtual screening versus docking-based virtual screening: a benchmark comparison against eight targets

    Zhi Chen;Hong-lin Li;Qi-jun Zhang;Xiao-guang Bao

  • How does huperzine A enter and leave the binding gorge of acetylcholinesterase? Steered molecular dynamics simulations.

    Yechun Xu;Jianhua Shen;Xiaomin Luo;Israel Silman

  • The Multiplicity, Strength, and Nature of the Interaction of Nucleobases with Alkaline and Alkaline Earth Metal Cations: A Density Functional Theory Investigation

    Weiliang Zhu;Xiaomin Luo;Chum Mok Puah;Xiaojian Tan

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

    Unknown

  • Molecular docking and 3-D-QSAR studies on the possible antimalarial mechanism of artemisinin analogues.

    Feng Cheng;Jianhua Shen;Xiaomin Luo;Weiliang Zhu

  • Molecular Dynamics Simulations on SDF-1α: Binding with CXCR4 Receptor

    Xiaoqin Huang;Jianhua Shen;Meng Cui;Lingling Shen

  • A New Rapid and Effective Chemistry Space Filter in Recognizing a Druglike Database

    Suxin Zheng;Xiaomin Luo;Gang Chen;Weiliang Zhu

  • Differentiation of Cation-π Bonding from Cation-π Intermolecular Interactions: A Quantum Chemistry Study Using Density-Functional Theory and Morokuma Decomposition Methods

    Weiliang Zhu;Xiaojian Tan;Jianhua Shen;Xiaomin Luo

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

    Gang Chen;Suxin Zheng;Xiaomin Luo;Jianhua Shen

  • Inhibitory mode of 1,5-diarylpyrazole derivatives against cyclooxygenase-2 and cyclooxygenase-1: molecular docking and 3D QSAR analyses.

    Hong Liu;Xiaoqin Huang;Jianhua Shen;Xiaomin Luo

  • Dynamic Mechanism of E2020 Binding to Acetylcholinesterase: A Steered Molecular Dynamics Simulation

    Chunying Niu;Yechun Xu;Yong Xu;Xiaomin Luo

  • Structure-based discovery of potassium channel blockers from natural products: virtual screening and electrophysiological assay testing.

    Hong Liu;Yang Li;Mingke Song;Xiaojian Tan

Frequent Co-Authors

Hualiang Jiang
Hualiang Jiang Chinese Academy of Sciences
Kaixian Chen
Kaixian Chen Chinese Academy of Sciences
Mingyue Zheng
Mingyue Zheng Chinese Academy of Sciences
Weiliang Zhu
Weiliang Zhu Chinese Academy of Sciences
Hong Liu
Hong Liu Shandong University
Xu Shen
Xu Shen Nanjing University of Chinese Medicine
Cheng Luo
Cheng Luo Chinese Academy of Sciences
Yulan Wang
Yulan Wang Nanyang Technological University
Deju Ye
Deju Ye Nanjing University
Yixue Li
Yixue Li Chinese Academy of Sciences

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