D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 57 Citations 15,693 139 World Ranking 9223 National Ranking 4098

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Cancer

Richard S. Paules mainly investigates Gene expression, Gene expression profiling, DNA damage, Computational biology and Genetics. His work on Microarray analysis techniques as part of general Gene expression research is frequently linked to Enzyme inducer, thereby connecting diverse disciplines of science. Gene expression profiling is frequently linked to Toxicogenomics in his study.

His DNA damage research includes elements of Nuclear export signal, Cell cycle checkpoint, Cyclin-dependent kinase 1, Cyclin B1 and Molecular biology. His Computational biology research incorporates themes from Bioinformatics, Statistics, Mixed model, Statistical power and Two Color Microarray. His Bioinformatics study integrates concerns from other disciplines, such as Reliability, Predictive value of tests and Survival analysis.

His most cited work include:

  • An Integrated Stress Response Regulates Amino Acid Metabolism and Resistance to Oxidative Stress (2298 citations)
  • Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models (1058 citations)
  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (648 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Gene expression, Gene expression profiling, Gene, Molecular biology and Toxicogenomics. The various areas that Richard S. Paules examines in his Gene expression study include Acetaminophen, Pharmacology, Immunology, Cell synchronization and Internal medicine. Genetics covers Richard S. Paules research in Gene expression profiling.

His Gene study incorporates themes from Cancer and Computational biology. His Computational biology research focuses on Bioinformatics and how it connects with Reliability. His Molecular biology research also works with subjects such as

  • DNA damage that connect with fields like Cell cycle, CHEK1, Cell cycle checkpoint, G2-M DNA damage checkpoint and DNA repair,
  • Carcinogenesis that intertwine with fields like Gene product,
  • Xenopus that intertwine with fields like Maturation promoting factor and Oogenesis,
  • Kinase activity, which have a strong connection to Oxidative stress.

He most often published in these fields:

  • Gene expression (30.95%)
  • Gene expression profiling (28.57%)
  • Gene (26.19%)

What were the highlights of his more recent work (between 2017-2021)?

  • Computational biology (17.46%)
  • Gene (26.19%)
  • Transcriptome (8.73%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Computational biology, Gene, Transcriptome, Toxicity and Zebrafish. His research integrates issues of In vitro, Cellular differentiation and Cluster analysis in his study of Computational biology. His Gene research is multidisciplinary, incorporating perspectives in High-Throughput Screening Assays and Cell biology.

His Transcriptome research includes themes of Liver injury, Toxicogenomics, Drug and Gene expression profiling. His Gene expression profiling research is multidisciplinary, relying on both Mutation, Regulation of gene expression, Cell growth and Cancer research. Toxicokinetics and Cardiotoxicity is closely connected to Pharmacology in his research, which is encompassed under the umbrella topic of Toxicity.

Between 2017 and 2021, his most popular works were:

  • The US Federal Tox21 Program: A strategic and operational plan for continued leadership. (55 citations)
  • Toxicity profiling of flame retardants in zebrafish embryos using a battery of assays for developmental toxicity, neurotoxicity, cardiotoxicity and hepatotoxicity toward human relevance. (45 citations)
  • A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics. (41 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Cancer

Richard S. Paules focuses on Toxicity, Computational biology, Function, Prioritization and High-Throughput Screening Assays. His Toxicity research includes elements of Zebrafish and Pharmacology. His research in High-Throughput Screening Assays intersects with topics in Gene expression profiling, Biological pathway, Transcriptome, DNA microarray and Gene.

Genetic variation and Gene expression are the primary areas of interest in his Gene study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

An Integrated Stress Response Regulates Amino Acid Metabolism and Resistance to Oxidative Stress

Heather P. Harding;Yuhong Zhang;Huiquing Zeng;Isabel Novoa.
Molecular Cell (2003)

3228 Citations

Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models

Russell D. Wolfinger;Greg Gibson;Elizabeth D. Wolfinger;Lee Bennett.
Journal of Computational Biology (2001)

1382 Citations

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.
Nature Biotechnology (2010)

1090 Citations

Oxidative stress and cell cycle checkpoint function

Rodney E. Shackelford;William K. Kaufmann;Richard S. Paules.
Free Radical Biology and Medicine (2000)

698 Citations

Standardizing global gene expression analysis between laboratories and across platforms

Theodore Bammler;Richard P. Beyer;Sanchita Bhattacharya;Gary A. Boorman.
Nature Methods (2005)

597 Citations

Gene expression analysis reveals chemical-specific profiles.

Hisham K. Hamadeh;Pierre R. Bushel;Supriya Jayadev;Karla Martin.
Toxicological Sciences (2002)

529 Citations

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.
Nature Biotechnology (2014)

426 Citations

DNA damage and cell cycle checkpoints.

William K. Kaufmann;Richard S. Paules.
The FASEB Journal (1996)

381 Citations

Prediction of compound signature using high density gene expression profiling.

Hisham K. Hamadeh;Pierre R. Bushel;Supriya Jayadev;Olimpia DiSorbo.
Toxicological Sciences (2002)

323 Citations

An ATR- and Chk1-Dependent S Checkpoint Inhibits Replicon Initiation following UVC-Induced DNA Damage

Timothy P. Heffernan;Dennis A. Simpson;Alexandra R. Frank;Alexandra N. Heinloth.
Molecular and Cellular Biology (2002)

278 Citations

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