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 70 Citations 21,531 196 World Ranking 3040 National Ranking 237

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • DNA

Rainer Breitling mainly focuses on Gene, Genetics, Computational biology, Gene cluster and Genome. His work on Genomics, Gene mapping, Quantitative trait locus and Genetic screen is typically connected to Synuclein as part of general Genetics study, connecting several disciplines of science. The Computational biology study combines topics in areas such as Replicate, Identification and Chromatography, Metabolomics, Mass spectrometry.

The concepts of his Gene cluster study are interwoven with issues in Secondary metabolism, Operon, Whole genome sequencing and Mobile genetic elements. His Secondary metabolism research is multidisciplinary, incorporating elements of Synthetic biology and Metagenomics. His Genome research incorporates themes from Plasmid, Secondary metabolite, Polyketide and Streptomyces.

His most cited work include:

  • antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters (1341 citations)
  • Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments ☆ (1321 citations)
  • antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences (975 citations)

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

His scientific interests lie mostly in Computational biology, Synthetic biology, Metabolomics, Gene and Biochemistry. As a part of the same scientific family, he mostly works in the field of Computational biology, focusing on Secondary metabolite and, on occasion, Polyketide. His Synthetic biology study integrates concerns from other disciplines, such as Metabolic engineering, Biochemical engineering, Biotechnology, Selection and Pipeline.

His studies in Metabolomics integrate themes in fields like Metabolite and Liquid chromatography–mass spectrometry, Mass spectrometry. To a larger extent, Rainer Breitling studies Genetics with the aim of understanding Gene. His Systems biology research is multidisciplinary, relying on both Data science and Topology.

He most often published in these fields:

  • Computational biology (31.67%)
  • Synthetic biology (22.42%)
  • Metabolomics (23.84%)

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

  • Synthetic biology (22.42%)
  • Computational biology (31.67%)
  • Pipeline (4.98%)

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

Synthetic biology, Computational biology, Pipeline, Biochemistry and Streptomyces coelicolor are his primary areas of study. His Synthetic biology study incorporates themes from In silico, Selection, Metabolomics and Spider silk. Rainer Breitling has researched Metabolomics in several fields, including Metabolite, Analyte, Small molecule and Ion-mobility spectrometry.

The study incorporates disciplines such as Heterologous, Gene, Recombinant DNA, Metabolic engineering and Gene regulatory network in addition to Computational biology. Rainer Breitling studies Gene, focusing on Escherichia coli in particular. His work in the fields of Extracellular and Terpene overlaps with other areas such as Terpene synthase activity.

Between 2017 and 2021, his most popular works were:

  • An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals (84 citations)
  • Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli (36 citations)
  • Rational cell culture optimization enhances experimental reproducibility in cancer cells. (31 citations)

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

  • Gene
  • Enzyme
  • DNA

His primary areas of investigation include Synthetic biology, Computational biology, Pipeline, Metabolomics and Biochemical engineering. His study in Synthetic biology is interdisciplinary in nature, drawing from both Chemical space, Selection and Systems engineering. His Computational biology research integrates issues from Gene, Escherichia coli, Nanopore and Streptomyces coelicolor, Streptomyces.

Rainer Breitling performs integrative study on Gene and Software portability in his works. His research integrates issues of Flux and Secondary metabolism in his study of Streptomyces coelicolor. His Metabolomics study combines topics from a wide range of disciplines, such as Biochemistry, Intracellular, Reproducibility, Mass spectrometry and Glutamine.

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

antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters

Tilmann Weber;Kai Blin;Srikanth Duddela;Daniel Krug.
Nucleic Acids Research (2015)

1704 Citations

Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments ☆

Rainer Breitling;Patrick Armengaud;Anna Amtmann;Pawel Herzyk.
FEBS Letters (2004)

1677 Citations

antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences

Marnix H. Medema;Kai Blin;Peter Cimermancic;Victor de Jager;Victor de Jager.
Nucleic Acids Research (2011)

1305 Citations

antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification.

Kai Blin;Thomas Wolf;Marc G. Chevrette;Xiaowen Lu.
Nucleic Acids Research (2017)

886 Citations

antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers

Kai Blin;Marnix H. Medema;Daniyal Kazempour;Michael A. Fischbach.
Nucleic Acids Research (2013)

832 Citations

RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis

Fangxin Hong;Rainer Breitling;Connor W. Mcentee;Ben S. Wittner.
Bioinformatics (2006)

753 Citations

Minimum Information about a Biosynthetic Gene cluster.

Marnix H. Medema;Marnix H. Medema;Renzo Kottmann;Pelin Yilmaz;Matthew Cummings.
Nature Chemical Biology (2015)

517 Citations

The Potassium-Dependent Transcriptome of Arabidopsis Reveals a Prominent Role of Jasmonic Acid in Nutrient Signaling

Patrick Armengaud;Rainer Breitling;Anna Amtmann.
Plant Physiology (2004)

495 Citations

Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics

Warwick B Dunn;Alexander Erban;Ralf J M Weber;Darren John Creek;Darren John Creek.
Metabolomics (2013)

467 Citations

C-elegans model identifies genetic modifiers of alpha-synuclein inclusion formation during aging

Tjakko J. van Ham;Karen L. Thijssen;Rainer Breitling;Robert M. W. Hofstra.
PLOS Genetics (2008)

363 Citations

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Sang Yup Lee

Sang Yup Lee

Korea Advanced Institute of Science and Technology

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