D-Index & Metrics Best Publications

D-Index & Metrics

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 49 Citations 13,162 100 World Ranking 10621 National Ranking 779

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genetics
  • Enzyme

Joachim Selbig mostly deals with Genetics, Arabidopsis, Data mining, Metabolomics and Gene. His Arabidopsis research is included under the broader classification of Biochemistry. His Data mining study integrates concerns from other disciplines, such as Missing data, Value, Multivariate mutual information, Pointwise mutual information and Variation of information.

Joachim Selbig has included themes like Proteomics, Mutant, Computational biology, Systems biology and Candidate gene in his Metabolomics study. His study on Computational biology also encompasses disciplines like

  • Gene expression profiling which connect with Metabolite,
  • Regulation of gene expression together with Gene expression. In his study, which falls under the umbrella issue of Gene, Sequence analysis, Regression analysis, Proteolytic enzymes and Phenotype is strongly linked to Drug resistance.

His most cited work include:

  • MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes (2480 citations)
  • pcaMethods—a bioconductor package providing PCA methods for incomplete data (623 citations)
  • The mutual information: detecting and evaluating dependencies between variables. (564 citations)

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

His primary scientific interests are in Computational biology, Genetics, Data mining, Metabolite and Gene. In his study, Drug resistance is strongly linked to Bioinformatics, which falls under the umbrella field of Computational biology. His research in Genetics intersects with topics in Biological network, Population genetics and Heterosis.

His studies deal with areas such as Missing data, Mutual information, Cluster analysis, Sample and Principal component analysis as well as Data mining. His Metabolite research entails a greater understanding of Biochemistry. Gene expression profiling, Gene expression, Regulation of gene expression, Arabidopsis and Transcriptional regulation are the core of his Gene study.

He most often published in these fields:

  • Computational biology (27.17%)
  • Genetics (22.54%)
  • Data mining (19.08%)

What were the highlights of his more recent work (between 2011-2016)?

  • Genetics (22.54%)
  • Data mining (19.08%)
  • Computational biology (27.17%)

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

Genetics, Data mining, Computational biology, Bioinformatics and Arabidopsis are his primary areas of study. His work carried out in the field of Genetics brings together such families of science as Evolutionary biology, Biological network and Heterosis. His Data mining study combines topics in areas such as Computation, State, Genome scale and Coupling.

His study in Computational biology focuses on Metabolic network in particular. His study in the fields of Metabolomics under the domain of Bioinformatics overlaps with other disciplines such as Biomarker. His research integrates issues of Proteomics, Transcription and Botany in his study of Arabidopsis.

Between 2011 and 2016, his most popular works were:

  • Heterosis manifestation during early Arabidopsis seedling development is characterized by intermediate gene expression and enhanced metabolic activity in the hybrids (86 citations)
  • Impact of the carbon and nitrogen supply on relationships and connectivity between metabolism and biomass in a broad panel of Arabidopsis accessions (74 citations)
  • Impact of the carbon and nitrogen supply on relationships and connectivity between metabolism and biomass in a broad panel of Arabidopsis accessions (74 citations)

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

  • Gene
  • Enzyme
  • Genetics

Data mining, Botany, Genome scale, Orders of magnitude and Computation are his primary areas of study. His Data mining study incorporates themes from Variation, Multivariate analysis and Principal component analysis. He combines subjects such as Partial least squares regression, Metabolism and Arabidopsis with his study of Botany.

His Genome scale research incorporates themes from Theoretical computer science, State, Constraint and Coupling.

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

MAPMAN: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes

Oliver Thimm;Oliver Bläsing;Yves Gibon;Axel Nagel.
Plant Journal (2004)

2716 Citations

pcaMethods—a bioconductor package providing PCA methods for incomplete data

Wolfram Stacklies;Henning Redestig;Matthias Scholz;Dirk Walther.
Bioinformatics (2007)

765 Citations

The mutual information: detecting and evaluating dependencies between variables.

Ralph E. Steuer;Jürgen Kurths;Carsten O. Daub;Janko Weise.
european conference on computational biology (2002)

764 Citations

A Robot-Based Platform to Measure Multiple Enzyme Activities in Arabidopsis Using a Set of Cycling Assays: Comparison of Changes of Enzyme Activities and Transcript Levels during Diurnal Cycles and in Prolonged Darkness

Yves Gibon;Oliver E. Blaesing;Jan Hannemann;Petronia Carillo.
The Plant Cell (2004)

652 Citations

Extension of the Visualization Tool MapMan to Allow Statistical Analysis of Arrays, Display of Coresponding Genes, and Comparison with Known Responses

Björn Usadel;Axel Nagel;Oliver Thimm;Henning Redestig.
Plant Physiology (2005)

594 Citations

Metabolomics of temperature stress

Charles Guy;Fatma Kaplan;Joachim Kopka;Joachim Selbig.
Physiologia Plantarum (2007)

509 Citations

Starch as a major integrator in the regulation of plant growth

Ronan Sulpice;Eva-Theresa Pyl;Hirofumi Ishihara;Sandra Trenkamp.
Proceedings of the National Academy of Sciences of the United States of America (2009)

442 Citations

Metabolomic and transcriptomic stress response of Escherichia coli

Szymon Jozefczuk;Sebastian Klie;Gareth S Catchpole;Jedrzej Szymanski.
Molecular Systems Biology (2010)

389 Citations

The metabolic signature related to high plant growth rate in Arabidopsis thaliana

Rhonda C. Meyer;Matthias Steinfath;Jan Lisec;Martina Becher.
Proceedings of the National Academy of Sciences of the United States of America (2007)

380 Citations

Parallel analysis of transcript and metabolic profiles: a new approach in systems biology

Ewa Urbanczyk‐Wochniak;Alexander Luedemann;Joachim Kopka;Joachim Selbig.
EMBO Reports (2003)

362 Citations

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