World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
61
Citations
11127
World Ranking
2103
National Ranking
429

Mo Yang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Mo Yang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 324 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Mo Yang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Mo Yang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 61 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Mo Yang is affiliated with Hong Kong Polytechnic University in China, with a research profile spanning medicine, biochemistry, genetics, molecular biology, and engineering. Their work covers a range of subfields including molecular biology, biomedical engineering, materials chemistry, infectious diseases, and hematology.

Their research focuses on multiple key topics, particularly in advanced biosensing and bioanalysis techniques, nanoplatforms for cancer theranostics, biosensors and analytical detection, platelet disorders and treatments, advanced nanomaterials in catalysis, SARS-CoV-2 detection and testing, as well as luminescence and fluorescent materials.

Mo Yang has authored papers in several prominent journals, reflecting their interdisciplinary expertise. Recent publications include:

  • "Virus Detection: From State-of-the-Art Laboratories to Smartphone-Based Point-of-Care Testing," 2022, Advanced Science
  • "Mechanisms involved in the development of thrombocytopenia in patients with COVID-19," 2020, Thrombosis Research
  • "Dual-Depletion of Intratumoral Lactate and ATP with Radicals Generation for Cascade Metabolic-Chemodynamic Therapy," 2021, Advanced Science
  • "Nanotechnology for diagnosis and therapy of rheumatoid arthritis: Evolution towards theranostic approaches," 2020, Chinese Chemical Letters
  • "Porphyrinic Metal-Organic Framework Nanorod-Based Dual-Modal Nanoprobe for Sensing and Bioimaging of Phosphate," 2020, ACS Applied Materials & Interfaces

Their frequent publication venues include:

  • Biosensors and Bioelectronics
  • Blood
  • SSRN Electronic Journal
  • Journal of Materials Chemistry B
  • Advanced Science

Mo Yang frequently collaborates with multiple researchers, including Changqing Yi, Bohan Yin, Siu Hong Dexter Wong, Yadi Fan, and Qin Zhang, with collaboration counts ranging from 16 to 21 joint works.

Best Publications

  • Zeta potential : a surface electrical characteristic to probe the interaction of nanoparticles with normal and cancer human breast epithelial cells

    Yu Zhang;Mo Yang;Nathaniel G. Portney;Daxiang Cui

  • A fluorescence resonance energy transfer (FRET) biosensor based on graphene quantum dots (GQDs) and gold nanoparticles (AuNPs) for the detection of mecA gene sequence of Staphylococcus aureus.

    Jingyu Shi;Chunyu Chan;Yukting Pang;Weiwei Ye

  • The application of organic electrochemical transistors in cell-based biosensors.

    Peng Lin;Feng Yan;Jinjiang Yu;Helen L. W. Chan

  • Nanoparticle based fluorescence resonance energy transfer (FRET) for biosensing applications

    Jingyu Shi;Feng Tian;Jing Lyu;Mo Yang

  • Fate and Transport of Petroleum Hydrocarbons in Vadose Zone: Compound-specific Natural Attenuation

    M. Yang;Y. S. Yang;Y. S. Yang;X. Du;Y. Cao

  • Ultrasensitive Detection of Ebola Virus Oligonucleotide Based on Upconversion Nanoprobe/Nanoporous Membrane System

    Ming-Kiu Tsang;WeiWei Ye;WeiWei Ye;Guojing Wang;Jingming Li

  • A PDMS microfluidic impedance immunosensor for E. coli O157:H7 and Staphylococcus aureus detection via antibody-immobilized nanoporous membrane

    Fei Tan;Polly H.M. Leung;Zong-bin Liu;Yu Zhang

  • Molecular dynamics simulation of effect of liquid layering around the nanoparticle on the enhanced thermal conductivity of nanofluids

    Ling Li;Yuwen Zhang;Hongbin Ma;Mo Yang

  • Graphene and graphene-like two-denominational materials based fluorescence resonance energy transfer (FRET) assays for biological applications.

    Feng Tian;Jing Lyu;Jingyu Shi;Mo Yang

  • A graphene quantum dot@Fe3O4@SiO2 based nanoprobe for drug delivery sensing and dual-modal fluorescence and MRI imaging in cancer cells

    Xiaoqian Su;Chunyu Chan;Jingyu Shi;Ming Kiu Tsang

  • Upconversion luminescence resonance energy transfer (LRET)-based biosensor for rapid and ultrasensitive detection of avian influenza virus H7 subtype

    Wei Wei Ye;Ming Kiu Tsang;Xuan Liu;Mo Yang

  • Impedance studies of bio-behavior and chemosensitivity of cancer cells by micro-electrode arrays

    Qingjun Liu;Jinjiang Yu;Lidan Xiao;Lidan Xiao;Johnny Cheuk On Tang

  • Detection of bacteria with organic electrochemical transistors

    Rong-Xiang He;Rong-Xiang He;Meng Zhang;Fei Tan;Polly H. M. Leung

  • Graphene-Based Nanocomposites for Neural Tissue Engineering.

    Ho Pan Bei;Yuhe Yang;Yuhe Yang;Qiang Zhang;Yu Tian

  • A fluorescence turn-on biosensor based on graphene quantum dots (GQDs) and molybdenum disulfide (MoS2) nanosheets for epithelial cell adhesion molecule (EpCAM) detection.

    Jingyu Shi;Jing Lyu;Feng Tian;Mo Yang

  • Porphyrinic Metal-Organic Framework PCN-224 Nanoparticles for Near-Infrared-Induced Attenuation of Aggregation and Neurotoxicity of Alzheimer's Amyloid-β Peptide.

    Jiuhai Wang;Yadi Fan;Youhua Tan;Xin Zhao

  • Ultrasensitive detection of E. coli O157:H7 with biofunctional magnetic bead concentration via nanoporous membrane based electrochemical immunosensor

    Ka Yiu Chan;Wei Wei Ye;Yu Zhang;Li Dan Xiao

  • High sensitivity piezoresistive cantilever design and optimization for analyte-receptor binding

    Mo Yang;Xuan Zhang;Kambiz Vafai;Cengiz S Ozkan

  • An investigation of molecular layering at the liquid-solid interface in nanofluids by molecular dynamics simulation

    Ling Li;Yuwen Zhang;Hongbin Ma;Mo Yang

  • Label-free DNA sensor based on organic thin film transistors

    Feng Yan;Sheung Man Mok;Jinjiang Yu;Helen L.W. Chan

  • A novel electrochemical biosensor based on dynamic polymerase-extending hybridization for E. coli O157:H7 DNA detection.

    Lijiang Wang;Qingjun Liu;Zhaoying Hu;Yuanfan Zhang

Frequent Co-Authors

Yuwen Zhang
Yuwen Zhang University of Missouri
Cengiz S. Ozkan
Cengiz S. Ozkan University of California, Riverside
Mihrimah Ozkan
Mihrimah Ozkan University of California, Riverside
Qingjun Liu
Qingjun Liu Zhejiang University
Joseph B. Schlenoff
Joseph B. Schlenoff Florida State University
Feng Yan
Feng Yan Hong Kong Polytechnic University
Xin Zhao
Xin Zhao McGill University
Yi Li
Yi Li University of Manchester
Ping Wang
Ping Wang University of Minnesota
Jianhua Hao
Jianhua Hao Hong Kong Polytechnic University

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