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
Genetics D-index 45 Citations 39,503 70 World Ranking 3449 National Ranking 1489

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Enzyme

The scientist’s investigation covers issues in Genetics, Saccharomyces cerevisiae, Gene, Genome and Molecular biology. David J. Lockhart regularly ties together related areas like Computational biology in his Genetics studies. His Saccharomyces cerevisiae study incorporates themes from Origin of replication, Cyclin-dependent kinase 1, Cell cycle, Cell cycle phase and Regulation of gene expression.

His study in Gene concentrates on Gene expression and Mitotic cell cycle. His Genome study combines topics from a wide range of disciplines, such as Fungal genetics and Control of chromosome duplication, DNA replication. In his study, which falls under the umbrella issue of Molecular biology, Nucleic acid, Molecular beacon and Nucleic acid sequence is strongly linked to Nucleic acid thermodynamics.

His most cited work include:

  • Expression monitoring by hybridization to high density oligonucleotide arrays (4313 citations)
  • Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis (3493 citations)
  • High density synthetic oligonucleotide arrays (2105 citations)

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

His primary areas of study are Gene, Genetics, Nucleic acid, Oligonucleotide and Molecular biology. Gene is closely attributed to Cell in his research. His work in Genetics covers topics such as Computational biology which are related to areas like Genomics and Molecular probe.

His Nucleic acid research is multidisciplinary, incorporating perspectives in Molecular beacon, Nucleic acid sequence and Nucleic acid thermodynamics. David J. Lockhart combines subjects such as RNA, Combinatorial chemistry and Oligonucleotide Arrays with his study of Oligonucleotide. His Genome research is multidisciplinary, incorporating elements of ORFS, Open reading frame and Saccharomyces cerevisiae.

He most often published in these fields:

  • Gene (43.02%)
  • Genetics (36.05%)
  • Nucleic acid (19.77%)

What were the highlights of his more recent work (between 2004-2019)?

  • Gene (43.02%)
  • Enzyme replacement therapy (5.81%)
  • Pharmacology (8.14%)

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

David J. Lockhart mainly focuses on Gene, Enzyme replacement therapy, Pharmacology, Gene expression profiling and Fabry disease. David J. Lockhart combines topics linked to Nucleic acid with his work on Gene. As part of his Gene expression and Genetics and Gene expression profiling studies, David J. Lockhart is studying Gene expression profiling.

His Gene expression research incorporates themes from Mutation, Genetic linkage, Genetic variation and Candidate gene. His Genetics research is multidisciplinary, relying on both Evolutionary biology and Nervous system. His research integrates issues of Molecular biology, Nucleic acid thermodynamics and Oligonucleotide Arrays in his study of Oligonucleotide.

Between 2004 and 2019, his most popular works were:

  • Inhibition of drug-resistant mutants of ABL, KIT, and EGF receptor kinases (541 citations)
  • Glyoxalase 1 and glutathione reductase 1 regulate anxiety in mice (386 citations)
  • Treatment of Fabry’s Disease with the Pharmacologic Chaperone Migalastat (211 citations)

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

  • Gene
  • DNA
  • Enzyme

David J. Lockhart mainly investigates Gene, Gene expression, Gene expression profiling, Pharmacology and Phobias. His Gene study is concerned with the field of Genetics as a whole. As part of his studies on Gene expression, David J. Lockhart often connects relevant areas like Regulation of gene expression.

The various areas that he examines in his Pharmacology study include Cancer research and FLT3 Inhibitor. He interconnects Generalized anxiety disorder and Panic disorder in the investigation of issues within Phobias.

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

Expression monitoring by hybridization to high density oligonucleotide arrays

David J. Lockhart;Eugene L. Brown;Gordon G. Wong;Mark S. Chee.
Nature Biotechnology (1996)

7945 Citations

Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis

Elizabeth A. Winzeler;Daniel D. Shoemaker;Anna Astromoff;Hong Liang.
Science (1999)

4698 Citations

High density synthetic oligonucleotide arrays

Robert J. Lipshutz;Stephen P.A. Fodor;Thomas R. Gingeras;David J. Lockhart.
Nature Genetics (1999)

3312 Citations

A Genome-Wide Transcriptional Analysis of the Mitotic Cell Cycle

Raymond J. Cho;Michael J. Campbell;Elizabeth A. Winzeler;Lars Steinmetz.
Molecular Cell (1998)

2923 Citations

Genomics, gene expression and DNA arrays.

David J. Lockhart;Elizabeth A. Winzeler.
Nature (2000)

2847 Citations

Accessing Genetic Information with High-Density DNA Arrays

Mark Chee;Robert Yang;Earl Hubbell;Anthony Berno.
Science (1996)

2465 Citations

Functional and Genomic Analyses Reveal an Essential Coordination between the Unfolded Protein Response and ER-Associated Degradation

Kevin J Travers;Christopher K Patil;Lisa Wodicka;David J Lockhart.
Cell (2000)

2216 Citations

Genome-wide expression monitoring in Saccharomyces cerevisiae

Lisa Wodicka;Helin Dong;Michael Mittmann;Ming-Hsiu Ho.
Nature Biotechnology (1997)

1612 Citations

Surface-bound, unimolecular, double-stranded DNA

David J. Lockhart;Dirk Vetter;Martin Diggelmann.
(1996)

1128 Citations

Exploiting chemical libraries, structure, and genomics in the search for kinase inhibitors.

Nathanael S. Gray;Lisa Wodicka;Andy-Mark W. H. Thunnissen;Thea C. Norman.
Science (1998)

1121 Citations

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