World's Best Scientists 2026 revealed!

D-Index & Metrics

Materials Science

D-Index
84
Citations
18949
World Ranking
2306
National Ranking
742

Yunlu Dai publication distribution in Materials Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Yunlu Dai sits on this spectrum.

50–69 publications: 28 scientists 70–89 publications: 152 scientists 90–109 publications: 356 scientists 110–129 publications: 487 scientists 130–149 publications: 723 scientists 150–169 publications: 835 scientists 170–189 publications: 850 scientists 190–209 publications: 891 scientists 210–229 publications: 862 scientists 230–249 publications: 766 scientists 250–269 publications: 726 scientists 270–289 publications: 665 scientists 290–309 publications: 593 scientists 310–329 publications: 537 scientists 330–349 publications: 477 scientists 350–369 publications: 440 scientists 370–389 publications: 356 scientists 390–409 publications: 321 scientists 410–429 publications: 256 scientists 430–449 publications: 246 scientists 450–469 publications: 216 scientists 470–489 publications: 212 scientists 490–509 publications: 174 scientists 510–529 publications: 194 scientists 530–549 publications: 162 scientists 550–569 publications: 131 scientists 570–589 publications: 111 scientists 590–609 publications: 103 scientists 610–629 publications: 99 scientists 630–649 publications: 77 scientists 650–669 publications: 92 scientists 670–689 publications: 56 scientists 690–709 publications: 53 scientists 710–729 publications: 53 scientists 730–749 publications: 38 scientists 750–769 publications: 52 scientists 770–789 publications: 43 scientists 790–809 publications: 38 scientists 810–829 publications: 34 scientists 830–849 publications: 25 scientists 850–869 publications: 18 scientists 870–889 publications: 20 scientists 890–909 publications: 24 scientists 910–929 publications: 27 scientists 930–949 publications: 20 scientists 950–969 publications: 17 scientists 970–989 publications: 10 scientists 990–1,009 publications: 16 scientists 1,010–1,029 publications: 13 scientists 1,030–1,049 publications: 12 scientists 1,050–1,069 publications: 9 scientists 1,070–1,089 publications: 8 scientists 1,090–1,109 publications: 7 scientists 1,110–1,129 publications: 9 scientists 1,130–1,149 publications: 2 scientists 1,150–1,162 publications: 5 scientists 1,163+ publications: 100 scientists
50 publications 1,163+

This scientist: 171 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,163 publications or more.

Yunlu Dai D-index placement in Materials Science in 2026

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

40–41 D-Index: 211 scientists 42–43 D-Index: 450 scientists 44–45 D-Index: 612 scientists 46–47 D-Index: 612 scientists 48–49 D-Index: 598 scientists 50–51 D-Index: 657 scientists 52–53 D-Index: 667 scientists 54–55 D-Index: 621 scientists 56–57 D-Index: 597 scientists 58–59 D-Index: 610 scientists 60–61 D-Index: 587 scientists 62–63 D-Index: 606 scientists 64–65 D-Index: 533 scientists 66–67 D-Index: 490 scientists 68–69 D-Index: 469 scientists 70–71 D-Index: 378 scientists 72–73 D-Index: 421 scientists 74–75 D-Index: 359 scientists 76–77 D-Index: 323 scientists 78–79 D-Index: 299 scientists 80–81 D-Index: 230 scientists 82–83 D-Index: 210 scientists 84–85 D-Index: 195 scientists 86–87 D-Index: 203 scientists 88–89 D-Index: 175 scientists 90–91 D-Index: 175 scientists 92–93 D-Index: 142 scientists 94–95 D-Index: 121 scientists 96–97 D-Index: 117 scientists 98–99 D-Index: 107 scientists 100–101 D-Index: 88 scientists 102–103 D-Index: 85 scientists 104–105 D-Index: 68 scientists 106–107 D-Index: 62 scientists 108–109 D-Index: 57 scientists 110–111 D-Index: 45 scientists 112–113 D-Index: 49 scientists 114–115 D-Index: 50 scientists 116–117 D-Index: 34 scientists 118–119 D-Index: 38 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 28 scientists 126–127 D-Index: 24 scientists 128–129 D-Index: 33 scientists 130–131 D-Index: 28 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 20 scientists 136–137 D-Index: 23 scientists 138–139 D-Index: 17 scientists 140–141 D-Index: 12 scientists 142–143 D-Index: 17 scientists 144–145 D-Index: 21 scientists 146–147 D-Index: 13 scientists 148–149 D-Index: 11 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 13 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 4 scientists 162–163 D-Index: 4 scientists 164 D-Index: 3 scientists 165+ D-Index: 98 scientists
40 D-Index 165+

This scientist: 84 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 165 D-Index or more.

Overview

Yunlu Dai is affiliated with the University of Macau in China. Their research primarily spans the fields of Engineering, Biochemistry, Genetics and Molecular Biology, and Materials Science. The subfields of study in which they have published most include Biomedical Engineering, Immunology, Molecular Biology, Materials Chemistry, and Biomaterials.

The scientist's research topics include Nanoplatforms for cancer theranostics, Nanoparticle-Based Drug Delivery, Immune cells in cancer, Immunotherapy and Immune Responses, Advanced Nanomaterials in Catalysis, Extracellular vesicles in disease, and interferon and immune responses.

Some of the recent papers authored or co-authored by Yunlu Dai are:

  • Polyphenol-Containing Nanoparticles: Synthesis, Properties, and Therapeutic Delivery, 2021, Advanced Materials
  • Phototheranostic Metal-Phenolic Networks with Antiexosomal PD-L1 Enhanced Ferroptosis for Synergistic Immunotherapy, 2022, Journal of the American Chemical Society
  • Engineering Radiosensitizer-Based Metal-Phenolic Networks Potentiate STING Pathway Activation for Advanced Radiotherapy, 2021, Advanced Materials
  • A nanounit strategy reverses immune suppression of exosomal PD-L1 and is associated with enhanced ferroptosis, 2021, Nature Communications
  • Renal-Clearable Nickel-Doped Carbon Dots with Boosted Photothermal Conversion Efficiency for Multimodal Imaging-Guided Cancer Therapy in the Second Near-Infrared Biowindow, 2021, Advanced Functional Materials

Yunlu Dai frequently publishes in the following venues:

  • Advanced Materials
  • Small
  • Advanced Functional Materials
  • Nature Communications
  • ACS Nano

The scientist collaborates often with several co-authors, including:

  • Bei Li
  • Zhan Zhang
  • Wei Sang
  • Hao Tian
  • Lisi Xie

Best Publications

  • Nanoparticle design strategies for enhanced anticancer therapy by exploiting the tumour microenvironment

    Yunlu Dai;Yunlu Dai;Can Xu;Xiaolian Sun;Xiaoyuan Chen

  • Synthesis of Magnetic, Up-Conversion Luminescent, and Mesoporous Core–Shell-Structured Nanocomposites as Drug Carriers

    Shili Gai;Piaoping Yang;Chunxia Li;Wenxin Wang

  • In Vivo Multimodality Imaging and Cancer Therapy by Near-Infrared Light-Triggered trans-Platinum Pro-Drug-Conjugated Upconverison Nanoparticles

    Yunlu Dai;Haihua Xiao;Jianhua Liu;Qinghai Yuan

  • Polyphenol-Containing Nanoparticles: Synthesis, Properties, and Therapeutic Delivery

    Yuxin Guo;Qing Sun;Fu-Gen Wu;Yunlu Dai

  • Modular assembly of superstructures from polyphenol-functionalized building blocks

    Junling Guo;Blaise L. Tardy;Andrew J. Christofferson;Yunlu Dai

  • Toxic Reactive Oxygen Species Enhanced Synergistic Combination Therapy by Self-Assembled Metal-Phenolic Network Nanoparticles.

    Yunlu Dai;Yunlu Dai;Zhen Yang;Siyuan Cheng;Zhongliang Wang

  • Phototheranostic Metal-Phenolic Networks with Antiexosomal PD-L1 Enhanced Ferroptosis for Synergistic Immunotherapy.

    Unknown

  • Recent advances in nanomaterial-based synergistic combination cancer immunotherapy.

    Wei Sang;Zhan Zhang;Yunlu Dai;Xiaoyuan Chen

  • A Yolk-like Multifunctional Platform for Multimodal Imaging and Synergistic Therapy Triggered by a Single Near-Infrared Light

    Ruichan Lv;Piaoping Yang;Fei He;Shili Gai

  • Up-Conversion Cell Imaging and pH-Induced Thermally Controlled Drug Release from NaYF4:Yb3+/Er3+@Hydrogel Core–Shell Hybrid Microspheres

    Yunlu Dai;Ping’an Ma;Ziyong Cheng;Xiaojiao Kang

  • Engineering Radiosensitizer‐Based Metal‐Phenolic Networks Potentiate STING Pathway Activation for Advanced Radiotherapy

    Unknown

  • In Situ Dendritic Cell Vaccine for Effective Cancer Immunotherapy.

    Weijing Yang;Weijing Yang;Guizhi Zhu;Sheng Wang;Guocan Yu

  • Multifunctional Up-Converting Nanocomposites with Smart Polymer Brushes Gated Mesopores for Cell Imaging and Thermo/pH Dual-Responsive Drug Controlled Release

    Xiao Zhang;Xiao Zhang;Piaoping Yang;Yunlu Dai;Ping'an Ma

  • An imaging-guided platform for synergistic photodynamic/photothermal/chemo-therapy with pH/temperature-responsive drug release

    Ruichan Lv;Piaoping Yang;Fei He;Shili Gai

  • Hollow structured upconversion luminescent NaYF4:Yb3+, Er3+ nanospheres for cell imaging and targeted anti-cancer drug delivery

    Dongmei Yang;Xiaojiao Kang;Ping'an Ma;Yunlu Dai

  • Integration of Upconversion Nanoparticles and Ultrathin Black Phosphorus for Efficient Photodynamic Theranostics under 808 nm Near-Infrared Light Irradiation

    Ruichan Lv;Dan Yang;Piaoping Yang;Jiating Xu

  • Manganese-phenolic nanoadjuvant combines sonodynamic therapy with cGAS-STING activation for enhanced cancer immunotherapy

    Unknown

  • A Catalase-Like Metal-Organic Framework Nanohybrid for O 2 -Evolving Synergistic Chemoradiotherapy.

    Zhimei He;Xiaolin Huang;Chen Wang;Xiangli Li

  • Organic Semiconducting Photoacoustic Nanodroplets for Laser-Activatable Ultrasound Imaging and Combinational Cancer Therapy.

    Wei Tang;Zhen Yang;Sheng Wang;Zhantong Wang

  • Activatable Semiconducting Theranostics: Simultaneous Generation and Ratiometric Photoacoustic Imaging of Reactive Oxygen Species In Vivo.

    Zhen Yang;Zhen Yang;Yunlu Dai;Chao Yin;Quli Fan

  • A New Single 808 nm NIR Light‐Induced Imaging‐Guided Multifunctional Cancer Therapy Platform

    Fei He;Guixin Yang;Piaoping Yang;Yuxiu Yu

  • Multifunctional upconversion mesoporous silica nanostructures for dual modal imaging and in vivo drug delivery.

    Chunxia Li;Dongmei Yang;Ping'an Ma;Yinyin Chen

  • Design and Synthesis of Multifunctional Drug Carriers Based on Luminescent Rattle-Type Mesoporous Silica Microspheres with a Thermosensitive Hydrogel as a Controlled Switch

    Xiaojiao Kang;Ziyong Cheng;Dongmei Yang;Ping'an Ma

Frequent Co-Authors

Piaoping Yang
Piaoping Yang Harbin Engineering University
Jun Lin
Jun Lin Chinese Academy of Sciences
Shili Gai
Shili Gai Harbin Engineering University
Fei He
Fei He Harbin Engineering University
Chunxia Li
Chunxia Li Shandong University
Ping'an Ma
Ping'an Ma University of Science and Technology of China
Ziyong Cheng
Ziyong Cheng Chinese Academy of Sciences
Zhiyao Hou
Zhiyao Hou Guangzhou Medical University
Xiaoyuan Chen
Xiaoyuan Chen National University of Singapore
Dongmei Yang
Dongmei Yang Chinese Academy of Sciences

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