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 67 Citations 15,584 215 World Ranking 3619 National Ranking 23

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • Biochemistry

Wolfram Weckwerth mostly deals with Metabolomics, Proteomics, Computational biology, Biochemistry and Bioinformatics. Wolfram Weckwerth combines subjects such as Genetics, Functional genomics and Shotgun proteomics with his study of Metabolomics. His Proteomics research includes themes of Proteome, Chromatography and Genome.

His Computational biology study integrates concerns from other disciplines, such as Metabolite, Metabolite profiling, Quantitative proteomics and Mass spectrometry. His study in the field of Systems biology is also linked to topics like Temporal resolution. His Systems biology research includes elements of Metabolome, Golm Metabolome Database, Biotechnology and Genomics.

His most cited work include:

  • [email protected]: the Golm Metabolome Database (985 citations)
  • 1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana (616 citations)
  • Metabolomics in systems biology (499 citations)

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

Wolfram Weckwerth focuses on Biochemistry, Metabolomics, Proteomics, Computational biology and Proteome. His Metabolomics study combines topics in areas such as Metabolite, Botany, Metabolic network and Systems biology. Wolfram Weckwerth interconnects Cell biology, Chlamydomonas reinhardtii and Mass spectrometry in the investigation of issues within Proteomics.

His Computational biology research is multidisciplinary, relying on both Functional genomics, Genome project, DNA sequencing and Bioinformatics. His Proteome study combines topics from a wide range of disciplines, such as Genome and Nucleic acid. His studies in Metabolome integrate themes in fields like Secondary metabolism and Metabolic pathway.

He most often published in these fields:

  • Biochemistry (26.25%)
  • Metabolomics (26.58%)
  • Proteomics (25.58%)

What were the highlights of his more recent work (between 2016-2021)?

  • Cell biology (9.97%)
  • Proteomics (25.58%)
  • Biochemistry (26.25%)

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

The scientist’s investigation covers issues in Cell biology, Proteomics, Biochemistry, Metabolomics and Proteome. His research investigates the link between Proteomics and topics such as Sorghum that cross with problems in Marker-assisted selection and Abiotic component. His research in the fields of Metabolome overlaps with other disciplines such as Context.

His work carried out in the field of Metabolome brings together such families of science as Arabidopsis thaliana, Abiotic stress, Metabolic pathway, Secondary metabolism and Computational biology. His biological study deals with issues like Genetic variation, which deal with fields such as Genome. His studies deal with areas such as Botany, Arabidopsis and Citric acid cycle as well as Proteome.

Between 2016 and 2021, his most popular works were:

  • Pearl millet genome sequence provides a resource to improve agronomic traits in arid environments (146 citations)
  • Chronic signaling via the metabolic checkpoint kinase mTORC1 induces macrophage granuloma formation and marks sarcoidosis progression (83 citations)
  • The SnRK1 Kinase as Central Mediator of Energy Signaling between Different Organelles. (66 citations)

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

  • Gene
  • Enzyme
  • DNA

His primary scientific interests are in Metabolomics, Biochemistry, Proteomics, Proteome and Cell biology. Wolfram Weckwerth studies Metabolomics, focusing on Metabolome in particular. The concepts of his Metabolome study are interwoven with issues in Secondary metabolism, Computational biology and Metabolic pathway.

His study in Computational biology is interdisciplinary in nature, drawing from both Biotic stress and Genome project, Genome. His biological study spans a wide range of topics, including Transcriptome, Chlamydomonas, Phosphorylation, Phosphoproteomics and Chlamydomonas reinhardtii. His Proteome research focuses on Botany and how it relates to Adaptation.

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

[email protected]: the Golm Metabolome Database

Joachim Kopka;Nicolas Schauer;Stephan Krueger;Claudia Birkemeyer.
Bioinformatics (2005)

1168 Citations

Metabolomics in systems biology

Wolfram Weckwerth.
Annual review of plant biology (2003)

746 Citations

1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana

Carlos Alonso-Blanco;Jorge Andrade;Claude Becker;Felix Bemm.
Cell (2016)

686 Citations

Process for the integrated extraction, identification and quantification of metabolites, proteins and RNA to reveal their co-regulation in biochemical networks

Wolfram Weckwerth;Kathrin Wenzel;Oliver Fiehn.
Proteomics (2004)

434 Citations

Differential metabolic networks unravel the effects of silent plant phenotypes

Wolfram Weckwerth;Marcelo Ehlers Loureiro;Kathrin Wenzel;Oliver Fiehn.
Proceedings of the National Academy of Sciences of the United States of America (2004)

422 Citations

PhosPhAt: a database of phosphorylation sites in Arabidopsis thaliana and a plant-specific phosphorylation site predictor

Joshua L. Heazlewood;Pawel Durek;Jan Hummel;Joachim Selbig.
Nucleic Acids Research (2007)

354 Citations

Observing and interpreting correlations in metabolomic networks

Ralph E. Steuer;Jürgen Kurths;Oliver Fiehn;Wolfram Weckwerth.
Bioinformatics (2003)

349 Citations

Proteome Analysis of Arabidopsis Leaf Peroxisomes Reveals Novel Targeting Peptides, Metabolic Pathways, and Defense Mechanisms

Sigrun Reumann;Lavanya Babujee;Changle Ma;Stephanie Wienkoop.
The Plant Cell (2007)

345 Citations

Metabolomics: from pattern recognition to biological interpretation.

Wolfram Weckwerth;Katja Morgenthal.
Drug Discovery Today (2005)

335 Citations

Enrichment of phosphorylated proteins and peptides from complex mixtures using metal oxide/hydroxide affinity chromatography (MOAC).

Florian Wolschin;Stefanie Wienkoop;Wolfram Weckwerth.
Proteomics (2005)

318 Citations

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