World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
85
Citations
27750
World Ranking
14559
National Ranking
165

Aiping Lu publication distribution in Medicine in 2026

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

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 535 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Aiping Lu D-index placement in Medicine in 2026

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

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 85 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Aiping Lu is affiliated with Hong Kong Baptist University in China and is active in the fields of Medicine, as well as Biochemistry, Genetics, and Molecular Biology. Their research spans various specialized subfields including Molecular Biology, Oncology, Computational Theory and Mathematics, Pharmacology, and Rheumatology.

The scientist's main topics of work include:

  • Computational Drug Discovery Methods
  • Rheumatoid Arthritis Research and Therapies
  • Advanced biosensing and bioanalysis techniques
  • Machine Learning in Materials Science
  • Pharmacological Effects of Natural Compounds
  • RNA Interference and Gene Delivery
  • Bone Metabolism and Diseases

Aiping Lu has frequently published in the following venues:

  • Frontiers in Pharmacology
  • Frontiers in Cell and Developmental Biology
  • Briefings in Bioinformatics
  • International Journal of Molecular Sciences
  • Frontiers in Immunology

Coauthors regularly collaborating with Aiping Lu include:

  • Ge Zhang
  • Dongsheng Cao
  • Daogang Guan
  • Cheng Lü
  • Tingjun Hou

Selected recent papers by Aiping Lu cover a range of research topics and publication venues:

  • Natural products in drug discovery: advances and opportunities, 2021, Nature Reviews Drug Discovery
  • ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties, 2021, Nucleic Acids Research
  • Recent Progress in Aptamer Discoveries and Modifications for Therapeutic Applications, 2020, ACS Applied Materials & Interfaces
  • Hyocholic acid species improve glucose homeostasis through a distinct TGR5 and FXR signaling mechanism, 2020, Cell Metabolism
  • A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data, 2021, Computational and Structural Biotechnology Journal

Best Publications

  • miR-214 targets ATF4 to inhibit bone formation

    Xiaogang Wang;Baosheng Guo;Baosheng Guo;Qi Li;Jiang Peng

  • Osteoclast-derived exosomal miR-214-3p inhibits osteoblastic bone formation

    Defang Li;Jin Liu;Baosheng Guo;Chao Liang

  • Surface Functionalization and Targeting Strategies of Liposomes in Solid Tumor Therapy: A Review.

    Muhammad Kashif Riaz;Muhammad Adil Riaz;Xue Zhang;Congcong Lin

  • Syndrome differentiation in modern research of traditional Chinese medicine.

    Miao Jiang;Cheng Lu;Chi Zhang;Jing Yang

  • Recent Advances in SELEX Technology and Aptamer Applications in Biomedicine

    Zhenjian Zhuo;Yuanyuan Yu;Maolin Wang;Jie Li

  • Theory of traditional Chinese medicine and therapeutic method of diseases.

    Ai-Ping Lu;Hong-Wei Jia;Cheng Xiao;Qing-Ping Lu

  • A water-soluble nucleolin aptamer-paclitaxel conjugate for tumor-specific targeting in ovarian cancer

    Fangfei Li;Jun Lu;Jin Liu;Chao Liang

  • Aptamer-functionalized lipid nanoparticles targeting osteoblasts as a novel RNA interference-based bone anabolic strategy.

    Chao Liang;Baosheng Guo;Heng Wu;Ningsheng Shao

  • Chemical Modifications of Nucleic Acid Aptamers for Therapeutic Purposes.

    Shuaijian Ni;Houzong Yao;Lili Wang;Jun Lu

  • Large-Scale Analysis of KIT Aberrations in Chinese Patients with Melanoma

    Yan Kong;Lu Si;Yanyan Zhu;Xiaowei Xu

  • Linkers Having a Crucial Role in Antibody-Drug Conjugates.

    Jun Lu;Feng Jiang;Aiping Lu;Ge Zhang

  • Hyocholic acid species improve glucose homeostasis through a distinct TGR5 and FXR signaling mechanism.

    Xiaojiao Zheng;Tianlu Chen;Runqiu Jiang;Aihua Zhao

  • The quest for modernisation of traditional Chinese medicine.

    Qihe Xu;Rudolf Bauer;Bruce M. Hendry;Tai-Ping Fan

  • Systems pharmacology in drug discovery and therapeutic insight for herbal medicines

    Chao Huang;Chunli Zheng;Yan Li;Yonghua Wang

  • Good practice in reviewing and publishing studies on herbal medicine, with special emphasis on traditional Chinese medicine and Chinese materia medica.

    Kelvin Chan;Kelvin Chan;Debbie Shaw;Monique S.J. Simmonds;Christine J. Leon

  • Network pharmacology in traditional chinese medicine.

    Shao Li;Tai-Ping Fan;Wei Jia;Aiping Lu

  • Tumor cell-targeted delivery of CRISPR/Cas9 by aptamer-functionalized lipopolymer for therapeutic genome editing of VEGFA in osteosarcoma.

    Chao Liang;Fangfei Li;Luyao Wang;Zong-Kang Zhang

  • Review of Current Strategies for Delivering Alzheimer's Disease Drugs across the Blood-Brain Barrier.

    Ka Hong Wong;Muhammad Kashif Riaz;Yuning Xie;Xue Zhang

  • A Mini-Review for Cancer Immunotherapy: Molecular Understanding of PD-1/PD-L1 Pathway & Translational Blockade of Immune Checkpoints

    Yongshu Li;Fangfei Li;Feng Jiang;Xiaoqing Lv

  • Large-scale exploration and analysis of drug combinations

    Peng Li;Chao Huang;Yingxue Fu;Jinan Wang

Frequent Co-Authors

Ge Zhang
Ge Zhang Hong Kong Baptist University
Dong-Sheng Cao
Dong-Sheng Cao Central South University
Wei Jia
Wei Jia University of Hong Kong
Tingjun Hou
Tingjun Hou Zhejiang University
Hong-Xi Xu
Hong-Xi Xu Shanghai University
Quan-Bin Han
Quan-Bin Han Hong Kong Baptist University
Jun Lu
Jun Lu Zhejiang University
Wei-Dong Zhang
Wei-Dong Zhang Second Military Medical University
Shiguo Sun
Shiguo Sun Northwest A&F University
Dik-Lung Ma
Dik-Lung Ma Hong Kong Baptist University

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