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Biology and Biochemistry

D-Index
68
Citations
19666
World Ranking
7698
National Ranking
3508

Overview

Hong Fang is affiliated with the National Center for Toxicological Research in the United States. Their research primarily lies within the field of Medicine, focusing extensively on Dermatology, Rheumatology, Immunology, Epidemiology, and Pathology and Forensic Medicine as notable subfields.

The main topics covered in their research include:

  • Dermatology and Skin Diseases
  • Autoimmune and Inflammatory Disorders Research
  • Eosinophilic Disorders and Syndromes
  • Autoimmune Bullous Skin Diseases
  • Psoriasis: Treatment and Pathogenesis
  • Urticaria and Related Conditions
  • Contact Dermatitis and Allergies

Frequent publication venues for Hong Fang include:

  • International Journal of Dermatology
  • Journal of Asthma and Allergy
  • Plant Cell Reports
  • Chinese Medical Journal
  • Journal of Inflammation Research

Among their recent papers are:

  • The IL-23/IL-17 Pathway in Inflammatory Skin Diseases: From Bench to Bedside, 2020, Frontiers in Immunology
  • Guideline for the diagnosis, treatment and long-term management of cutaneous lupus erythematosus, 2021, Journal of Autoimmunity
  • Cellular engineering of plant cells for improved therapeutic protein production, 2021, Plant Cell Reports
  • Impact of RNA-seq data analysis algorithms on gene expression estimation and downstream prediction, 2020, Scientific Reports
  • A double-blind, randomized, placebo- and positive-controlled phase III trial of 1% benvitimod cream in mild-to-moderate plaque psoriasis, 2020, Chinese Medical Journal

Hong Fang collaborates frequently with several coauthors including Jianjun Qiao, Shuni Ying, Shunli Tang, Juan Bai, and Taoming Liu, among others.

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 Estrogen Receptor Relative Binding Affinities of 188 Natural and Xenochemicals: Structural Diversity of Ligands

    Robert M. Blair;Hong Fang;William S. Branham;Bruce S. Hass

  • Performance comparison of one-color and two-color platforms within the Microarray Quality Control (MAQC) project

    Tucker A Patterson;Edward K Lobenhofer;Stephanie B Fulmer-Smentek;Patrick J Collins

  • Structure-activity relationships for a large diverse set of natural, synthetic, and environmental estrogens.

    Hong Fang;Weida Tong;Leming M. Shi;Robert Blair

  • 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

  • Toward interoperable bioscience data

    Susanna-Assunta Sansone;Philippe Rocca-Serra;Dawn Field;Eamonn Maguire

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

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

  • QSAR models using a large diverse set of estrogens

    Leming M. Shi;Hong Fang;Weida Tong;Jie Wu

  • FDA-approved drug labeling for the study of drug-induced liver injury.

    Minjun Chen;Vikrant Vijay;Qiang Shi;Zhichao Liu

  • 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

  • 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

  • Quantitative structure‐activity relationship methods: Perspectives on drug discovery and toxicology

    Roger Perkins;Hong Fang;Weida Tong;William J. Welsh

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

    Huixiao Hong;Qian Xie;Weigong Ge;Feng Qian

  • Quantitative comparisons of in vitro assays for estrogenic activities.

    Hong Fang;Weida Tong;Roger Perkins;Ana M. Soto

  • Negative thermal expansion and associated anomalous physical properties: review of the lattice dynamics theoretical foundation.

    Martin T Dove;Hong Fang

  • 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

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
Huixiao Hong
Huixiao Hong United States Food and Drug Administration
Lei Guo
Lei Guo National Center for Toxicological Research
Xiaowei Xu
Xiaowei Xu University of Arkansas at Little Rock
Pierre R. Bushel
Pierre R. Bushel National Institutes of Health
Raj K. Puri
Raj K. Puri US Food and Drug Administration
Yuri Nikolsky
Yuri Nikolsky F1 Genomics
Richard S. Paules
Richard S. Paules National Institutes of Health

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