World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
62
Citations
20522
World Ranking
10564
National Ranking
330

Tao Huang publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Tao Huang sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 324 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Tao Huang D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Tao Huang sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 62 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Tao Huang is affiliated with the Chinese Academy of Sciences in China and has a research focus predominantly in the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their body of work includes a significant number of publications related to molecular biology, infectious diseases, cancer research, immunology, and respiratory medicine.

Their research spans several main topics including machine learning applications in bioinformatics, SARS-CoV-2 and COVID-19 research, cancer-related molecular mechanisms, bioinformatics and genomic networks, RNA modifications in cancer, and the role of microRNA in disease regulation.

Some of Tao Huang's recent papers include:

  • Artificial intelligence: A powerful paradigm for scientific research (2021, The Innovation)
  • Mesenchymal stem cell treatment improves outcome of COVID-19 patients via multiple immunomodulatory mechanisms (2021, Cell Research)
  • RNA m6A Modification in Cancers: Molecular Mechanisms and Potential Clinical Applications (2020, The Innovation)
  • Single-cell technologies: From research to application (2022, The Innovation)
  • Determining protein-protein functional associations by functional rules based on gene ontology and KEGG pathway (2021, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics)

Frequent co-authors who have collaborated extensively with Tao Huang include:

  • Yu-Dong Cai
  • Lei Chen
  • Kaiyan Feng
  • Yuhang Zhang
  • Wei Guo

The scientist regularly publishes in venues such as Frontiers in Genetics, Life, BioMed Research International, Frontiers in Cell and Developmental Biology, and arXiv (Cornell University).

Tao Huang has also contributed to several academic books published by Springer Science+Business Media, IntechOpen, and Frontiers Media. Notable titles include "Precision Medicine" (2020), "Liquid Biopsies" (2023), "Epigenetics - Regulation and New Perspectives" (2022), and "Applications of RNA-Seq in Cancer and Tumor Research" (2023).

Best Publications

  • The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

    Kristin G. Ardlie;David S. Deluca;Ayellet V. Segrè

  • Correction: Corrigendum: Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

    Jialiang Yang;Tao Huang;Francesca Petralia;Quan Long

  • Artificial Intelligence: A Powerful Paradigm for Scientific Research

    Yongjun Xu;Xin Liu;Xin Cao;Changping Huang

  • Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways

    Lei Chen;Yu-Hang Zhang;ShaoPeng Wang;YunHua Zhang

  • Promises and Challenges of Big Data Computing in Health Sciences

    Tao Huang;Liang Lan;Xuexian Fang;Peng An

  • Effects of Mind⁻Body Exercises (Tai Chi/Yoga) on Heart Rate Variability Parameters and Perceived Stress: A Systematic Review with Meta-Analysis of Randomized Controlled Trials

    Liye Zou;Jeffer Eidi Sasaki;Gao-Xia Wei;Tao Huang

  • Identification of Colorectal Cancer Related Genes with mRMR and Shortest Path in Protein-Protein Interaction Network

    Bi-Qing Li;Tao Huang;Lei Liu;Yu-Dong Cai;Yu-Dong Cai

  • Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

    Jialiang Yang;Tao Huang;Francesca Petralia;Quan Long

  • Predicting Functions of Proteins in Mouse Based on Weighted Protein-Protein Interaction Network and Protein Hybrid Properties

    Lele Hu;Tao Huang;Xiaohe Shi;Wen-Cong Lu

  • Effects of chronic exercise interventions on executive function among children and adolescents: a systematic review with meta-analysis

    Yue Xue;Yanxiang Yang;Tao Huang

  • Analysis of cancer-related lncRNAs using gene ontology and KEGG pathways

    Lei Chen;Yu-Hang Zhang;Guohui Lu;Tao Huang

  • Analysis and prediction of the metabolic stability of proteins based on their sequential features, subcellular locations and interaction networks.

    Tao Huang;Xiao-He Shi;Ping Wang;Zhisong He

  • Prediction of lysine ubiquitination with mRMR feature selection and analysis

    Yudong Cai;Yudong Cai;Tao Huang;Lele Hu;Xiaohe Shi

  • The Beneficial Effects of Mind-Body Exercises for People With Mild Cognitive Impairment: a Systematic Review With Meta-analysis.

    Liye Zou;Paul D. Loprinzi;Albert S. Yeung;Nan Zeng

  • Genetic differences among ethnic groups

    Tao Huang;Yang Shu;Yu-Dong Cai

  • Prediction of Protein-Protein Interaction Sites by Random Forest Algorithm with mRMR and IFS

    Bi-Qing Li;Kai-Yan Feng;Lei Chen;Tao Huang;Tao Huang

  • Effects of Open Versus Closed Skill Exercise on Cognitive Function: A Systematic Review.

    Qian Gu;Liye Zou;Paul D. Loprinzi;Minghui Quan

  • Classification and Analysis of Regulatory Pathways Using Graph Property, Biochemical and Physicochemical Property, and Functional Property

    Tao Huang;Tao Huang;Lei Chen;Yu-Dong Cai;Kuo-Chen Chou

  • Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy

    Lei Chen;Shaopeng Wang;Yu-Hang Zhang;Jiarui Li

  • Transcriptional targeting of conditionally replicating adenovirus to dividing endothelial cells

    M. J. Savontaus;B. V. Sauter;T.-G. Huang;S. L. C. Woo

Frequent Co-Authors

Yu-Dong Cai
Yu-Dong Cai Shanghai University
Lei Chen
Lei Chen Shanghai Maritime University
Xiangyin Kong
Xiangyin Kong Chinese Academy of Sciences
Yixue Li
Yixue Li Chinese Academy of Sciences
Ning Zhang
Ning Zhang Tsinghua University
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Mingyue Zheng
Mingyue Zheng Chinese Academy of Sciences
Hao Li
Hao Li Zhejiang University
Jun Zhu
Jun Zhu Icahn School of Medicine at Mount Sinai
Bin Zhang
Bin Zhang Icahn School of Medicine at Mount Sinai

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