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 78 Citations 24,989 186 World Ranking 2816 National Ranking 1493

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

The scientist’s investigation covers issues in Cell biology, Receptor, Embryonic stem cell, Induced pluripotent stem cell and Genetics. His Cell biology study frequently draws parallels with other fields, such as G alpha subunit. To a larger extent, Bruce R. Conklin studies Biochemistry with the aim of understanding Receptor.

His studies deal with areas such as Cellular differentiation, Enteric nervous system and Neural stem cell as well as Embryonic stem cell. His Induced pluripotent stem cell research incorporates themes from Potassium channel, Biological system, Pharmacology and Neural crest. His G protein-coupled receptor research also works with subjects such as

  • Agonist which is related to area like 5-HT5A receptor and Energy homeostasis,
  • Plasma protein binding which intersects with area such as Computational biology.

His most cited work include:

  • Integration of biological networks and gene expression data using Cytoscape. (1844 citations)
  • GenMAPP, a new tool for viewing and analyzing microarray data on biological pathways. (896 citations)
  • MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data (841 citations)

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

Bruce R. Conklin spends much of his time researching Cell biology, Induced pluripotent stem cell, Computational biology, Receptor and Internal medicine. Bruce R. Conklin studies Progenitor cell which is a part of Cell biology. His Induced pluripotent stem cell study contributes to a more complete understanding of Embryonic stem cell.

His Computational biology research includes themes of Human genome, Microarray analysis techniques, Gene, Nuclease and Genome editing. His Receptor study often links to related topics such as Signal transduction. His Internal medicine research focuses on Endocrinology and how it relates to Osteoblast and Transgene.

He most often published in these fields:

  • Cell biology (35.51%)
  • Induced pluripotent stem cell (30.84%)
  • Computational biology (28.04%)

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

  • Computational biology (28.04%)
  • CRISPR (19.16%)
  • Genome editing (18.69%)

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

Bruce R. Conklin mostly deals with Computational biology, CRISPR, Genome editing, Induced pluripotent stem cell and Cell biology. His research in Computational biology intersects with topics in Epigenetics, Digital polymerase chain reaction, Disease and Proband. His CRISPR research integrates issues from Enhancer and Promoter.

Bruce R. Conklin has researched Genome editing in several fields, including Reference genome and DNA, DNA repair. Bruce R. Conklin has included themes like Cell, Microphthalmia-associated transcription factor, Transcription factor, Morphogenesis and Retinitis pigmentosa in his Induced pluripotent stem cell study. His biological study spans a wide range of topics, including In vitro, CRISPR interference and Cell type.

Between 2017 and 2021, his most popular works were:

  • Unbiased detection of CRISPR off-targets in vivo using DISCOVER-Seq. (131 citations)
  • Unbiased detection of CRISPR off-targets in vivo using DISCOVER-Seq. (131 citations)
  • Mapping cis-regulatory chromatin contacts in neural cells links neuropsychiatric disorder risk variants to target genes (54 citations)

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

  • Gene
  • DNA
  • Genetics

Bruce R. Conklin mainly investigates Computational biology, Induced pluripotent stem cell, CRISPR, Genome editing and Cell biology. His work carried out in the field of Computational biology brings together such families of science as Genomics, Transcription activator-like effector nuclease, Endogeny, Digital polymerase chain reaction and Allele. His Induced pluripotent stem cell research is multidisciplinary, incorporating perspectives in Cell, Bioinformatics, Morphogenesis, Stem cell and Genetic testing.

The concepts of his CRISPR study are interwoven with issues in Enhancer, Promoter and DNA. His work in Genome editing addresses subjects such as DNA repair, which are connected to disciplines such as Guide RNA, Chromatin immunoprecipitation and DNA damage. His Sarcomere study, which is part of a larger body of work in Cell biology, is frequently linked to Tissue Model, bridging the gap between disciplines.

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

Integration of biological networks and gene expression data using Cytoscape

Melissa S Cline;Michael Smoot;Ethan Cerami;Allan Kuchinsky.
Nature Protocols (2007)

2522 Citations

GenMAPP, a new tool for viewing and analyzing microarray data on biological pathways.

Kam D. Dahlquist;Nathan Salomonis;Karen Vranizan;Steven C. Lawlor.
Nature Genetics (2002)

1175 Citations

MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data

Scott W Doniger;Nathan Salomonis;Kam D Dahlquist;Karen Vranizan;Karen Vranizan.
Genome Biology (2003)

1095 Citations

Substitution of three amino acids switches receptor specificity of Gqα to that of Giα

Bruce R. Conklin;Zvi Farfel;Kevin D. Lustig;David Julius.
Nature (1993)

801 Citations

Hormonal stimulation of adenylyl cyclase through G i -protein βγ subunits

Alex D. Federman;Bruce R. Conklin;Karen A. Schrader;Randall R. Reed.
Nature (1992)

744 Citations

MicroRNA regulation of cell lineages in mouse and human embryonic stem cells.

Kathryn N. Ivey;Alecia Muth;Joshua Arnold;Frank W. King.
Cell Stem Cell (2008)

725 Citations

WikiPathways: Pathway Editing for the People

Alexander R Pico;Thomas Kelder;Martijn P van Iersel;Kristina Hanspers.
PLOS Biology (2008)

651 Citations

Structural elements of Gα subunits that interact with Gβγ, receptors, and effectors

Bruce R. Conklin;Henry R. Bourne.
Cell (1993)

579 Citations

WikiPathways: building research communities on biological pathways

Thomas Kelder;Martijn P. van Iersel;Kristina Hanspers;Martina Kutmon.
Nucleic Acids Research (2012)

575 Citations

Interfacing silicon nanowires with mammalian cells

Woong Kim;Jennifer K. Ng;Miki E. Kunitake;Bruce R. Conklin.
Journal of the American Chemical Society (2007)

539 Citations

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