World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
57
Citations
13143
World Ranking
13716
National Ranking
5811

Overview

Pierre R. Bushel is affiliated with the National Institutes of Health in the United States. Their research primarily spans the fields of Biochemistry, Genetics, and Molecular Biology, with significant contributions in Medicine. Key subfields of study include Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine, and Health, Toxicology and Mutagenesis.

The scientist's main topics of work cover areas such as Cancer Genomics and Diagnostics, Gene Expression and Cancer Classification, Molecular Biology Techniques and Applications, Lung Cancer Treatments and Mutations, Genomics and Rare Diseases, BRCA Gene Mutations in Cancer, and Genetic Factors in Colorectal Cancer.

Frequent co-authors collaborating with Pierre R. Bushel include Jianying Li, Rebecca Kusko, Andreas Scherer, Binsheng Gong, and Todd Richmond. The scientist has commonly published in venues like Frontiers in Genetics, UNC Libraries, Nature Biotechnology, Genome Biology, and The FASEB Journal.

Notable recent papers authored or co-authored by Pierre R. Bushel are:

  • "Comparison of Normalization Methods for Analysis of TempO-Seq Targeted RNA Sequencing Data," 2020, Frontiers in Genetics
  • "Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology," 2021, Nature Biotechnology
  • "Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing," 2021, Nature Biotechnology
  • "A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency," 2021, Genome Biology
  • "Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions," 2021, Genome Biology

Best Publications

  • Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models

    Russell D. Wolfinger;Greg Gibson;Elizabeth D. Wolfinger;Lee Bennett

  • 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

  • Standardizing global gene expression analysis between laboratories and across platforms

    Theodore Bammler;Richard P. Beyer;Sanchita Bhattacharya;Gary A. Boorman

  • 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

  • Gene expression analysis reveals chemical-specific profiles.

    Hisham K. Hamadeh;Pierre R. Bushel;Supriya Jayadev;Karla Martin

  • 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

  • Prediction of compound signature using high density gene expression profiling

    Hisham K. Hamadeh;Pierre R. Bushel;Supriya Jayadev;Olimpia DiSorbo

  • STATISTICAL ANALYSIS OF A GENE EXPRESSION MICROARRAY EXPERIMENT WITH REPLICATION

    M. Kathleen Kerr;Cynthia A. Afshari;Lee Bennett;Pierre Bushel

  • Systems toxicology and the Chemical Effects in Biological Systems (CEBS) knowledge base.

    Michael Waters;Gary Boorman;Pierre Bushel;Michael Cunningham

  • Development of gut microbiota in infants not exposed to medical interventions

    Merete EGGESBø;Merete EGGESBø;Birgitte Moen;Shyamal Peddada;Donna Baird

  • Tamoxifen functions as a molecular agonist inducing cell cycle-associated genes in breast cancer cells.

    Leslie C. Hodges;Jennifer D. Cook;Edward K. Lobenhofer;Leping Li

  • p53 and NF-κB Coregulate Proinflammatory Gene Responses in Human Macrophages

    Julie M. Lowe;Daniel Menendez;Pierre R. Bushel;Maria Shatz

  • Global transcriptome and deletome profiles of yeast exposed to transition metals.

    Yong Hwan Jin;Paul E. Dunlap;Sandra J. McBride;Hanan Al-Refai

  • Research Resource: Whole-Genome Estrogen Receptor α Binding in Mouse Uterine Tissue Revealed by ChIP-Seq

    Sylvia C. Hewitt;Leping Li;Sara A. Grimm;Yu Chen

  • The Evolution of Bioinformatics in Toxicology: Advancing Toxicogenomics

    Cynthia A. Afshari;Hisham K. Hamadeh;Pierre R. Bushel

  • Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology

    Ira W. Deveson;Binsheng Gong;Kevin Lai;Jennifer S. LoCoco

  • CEBS—Chemical Effects in Biological Systems: a public data repository integrating study design and toxicity data with microarray and proteomics data

    Michael D. Waters;Stanley Stasiewicz;B. Alex Merrick;Kenneth B. Tomer

  • Methapyrilene Toxicity: Anchorage of Pathologic Observations to Gene Expression Alterations

    Hisham K. Hamadeh;Brian L. Knight;Astrid C. Haugen;Stella Sieber

  • Database development in toxicogenomics: issues and efforts.

    William B Mattes;Syril D Pettit;Susanna-Assunta Sansone;Pierre R Bushel

Frequent Co-Authors

Richard S. Paules
Richard S. Paules National Institutes of Health
Cynthia A. Afshari
Cynthia A. Afshari Janssen (United States)
Weida Tong
Weida Tong National Center for Toxicological Research
Leming Shi
Leming Shi Fudan University
Hong Fang
Hong Fang National Center for Toxicological Research
William K. Kaufmann
William K. Kaufmann AsystBio (United States)
Huixiao Hong
Huixiao Hong United States Food and Drug Administration
Wenzhong Xiao
Wenzhong Xiao Harvard University
Raymond W. Tennant
Raymond W. Tennant National Institutes of Health
Yuri Nikolsky
Yuri Nikolsky F1 Genomics

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