World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

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

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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