World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
74
Citations
19994
World Ranking
5589
National Ranking
2656

Overview

Huixiao Hong is affiliated with the United States Food and Drug Administration in the United States. The scientific work focuses on the intersection of biochemistry, genetics, and molecular biology, with a substantial number of publications in these areas.

The main fields of study encompass biochemistry, genetics, and molecular biology, with significant contributions specifically in molecular biology, computational theory and mathematics, health, toxicology and mutagenesis, cancer research, and genetics.

The research topics covered by this scientist include:

  • Computational Drug Discovery Methods
  • Effects and risks of endocrine disrupting chemicals
  • Gene expression and cancer classification
  • Cancer Genomics and Diagnostics
  • Genomics and Phylogenetic Studies
  • Molecular Biology Techniques and Applications
  • SARS-CoV-2 and COVID-19 Research

Key recent papers authored include:

  • "CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity" (2020), published in Environmental Health Perspectives
  • "Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing" (2021), published in Nature Biotechnology
  • "Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing" (2021), published in Nature Biotechnology
  • "Developing QSAR Models with Defined Applicability Domains on PPARγ Binding Affinity Using Large Data Sets and Machine Learning Algorithms" (2021), published in Environmental Science & Technology
  • "Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials" (2023), published in Nature Biotechnology

The scientist frequently collaborates with colleagues such as Weida Tong, Wenjing Guo, Tucker A. Patterson, Jie Liu, and Fan Dong, reflecting a network of co-authorships.

Publications are often found in several venues, with the most frequent including:

  • Experimental Biology and Medicine
  • Genome Biology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Environmental Science & Technology
  • Nature Biotechnology

Best Publications

  • The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

    Leming Shi;Laura H. Reid;Wendell D. Jones;Richard Shippy

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

    Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg

  • The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

    Charles Wang;Binsheng Gong;Pierre R. Bushel;Jean Thierry-Mieg

  • Study of 202 natural, synthetic, and environmental chemicals for binding to the androgen receptor.

    Hong Fang;Weida Tong;William S. Branham;Carrie L. Moland

  • Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.

    Wenqian Zhang;Ying Yu;Falk Hertwig;Falk Hertwig;Jean Thierry-Mieg

  • Coumarin-based inhibitors of HIV integrase.

    He Zhao;Nouri Neamati;Huixiao Hong;Abhijit Mazumder

  • The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies

    Leming Shi;Wendell D. Jones;Roderick V. Jensen;Stephen C. Harris

  • CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

    Kamel Mansouri;Ahmed Abdelaziz;Aleksandra Rybacka;Alessandra Roncaglioni

  • A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages.

    Ying Yu;James C. Fuscoe;Chen Zhao;Chao Guo

  • A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data

    J. Luo;M. Schumacher;A. Scherer;D. Sanoudou

  • Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics

    Huixiao Hong;Qian Xie;Weigong Ge;Feng Qian

  • Depsides and depsidones as inhibitors of HIV-1 integrase: discovery of novel inhibitors through 3D database searching.

    Nouri Neamati;Huixiao Hong;Abhijit Mazumder;Shaomeng Wang

  • Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods

    Wenjing Guo;Bohu Pan;Sugunadevi Sakkiah;Gokhan Yavas

  • ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.

    Weida Tong;Xiaoxi Cao;Stephen Harris;Hongmei Sun

  • Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models

    Weida Tong;Huixiao Hong;Hong Fang;Qian Xie

  • Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential.

    Leming Shi;Weida Tong;Hong Fang;Uwe Scherf

  • Next-generation sequencing and its applications in molecular diagnostics

    Zhenqiang Su;Baitang Ning;Hong Fang;Huixiao Hong

  • HIV-1 integrase pharmacophore: discovery of inhibitors through three-dimensional database searching.

    Marc C. Nicklaus;Nouri Neamati;Huixiao Hong;Abhijit Mazumder

  • An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era

    Zhenqiang Su;Zhenqiang Su;Hong Fang;Huixiao Hong;Leming Shi

Frequent Co-Authors

Weida Tong
Weida Tong National Center for Toxicological Research
Leming Shi
Leming Shi Fudan University
Roger Perkins
Roger Perkins United States Food and Drug Administration
Hong Fang
Hong Fang National Center for Toxicological Research
Cesare Furlanello
Cesare Furlanello Fondazione Bruno Kessler
Lei Guo
Lei Guo National Center for Toxicological Research
Jie Shen
Jie Shen Eastern Institute of Technology, Ningbo
Yves Pommier
Yves Pommier National Institutes of Health
Pierre R. Bushel
Pierre R. Bushel National Institutes of Health
Jingwen Chen
Jingwen Chen Dalian University of Technology

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