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 51 Citations 13,390 118 World Ranking 9866 National Ranking 789

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Enzyme
  • DNA

Her primary areas of investigation include Genetics, Gene cluster, Gene, Streptomyces coelicolor and Genome. Her work deals with themes such as Computational biology, Whole genome sequencing, Polyketide, Secondary metabolism and Operon, which intersect with Gene cluster. Her work in Polyketide addresses issues such as Synthetic biology, which are connected to fields such as Metagenomics and Gene synthesis.

Her Gene study incorporates themes from Antibacterial agent and Streptomyces. Her research in Streptomyces coelicolor intersects with topics in Regulation of gene expression, Regulator gene, Gene expression and Microbiology. Eriko Takano has included themes like Biotechnology and Secondary metabolite in her Genome study.

Her most cited work include:

  • antiSMASH 3.0—a comprehensive resource for the genome mining of biosynthetic gene clusters (1341 citations)
  • antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences (975 citations)
  • antiSMASH 4.0-improvements in chemistry prediction and gene cluster boundary identification. (721 citations)

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

Her primary areas of study are Synthetic biology, Streptomyces coelicolor, Gene, Computational biology and Biochemistry. Her research integrates issues of Regulator gene and Microbiology in her study of Streptomyces coelicolor. Gene is a subfield of Genetics that Eriko Takano studies.

Her work in Computational biology tackles topics such as Secondary metabolite which are related to areas like Drug discovery. Her Biochemistry research is multidisciplinary, incorporating elements of Streptomycetaceae and Bacteria. Her studies deal with areas such as Operon and Polyketide as well as Gene cluster.

She most often published in these fields:

  • Synthetic biology (33.12%)
  • Streptomyces coelicolor (34.39%)
  • Gene (35.67%)

What were the highlights of her more recent work (between 2018-2021)?

  • Computational biology (33.76%)
  • Synthetic biology (33.12%)
  • Biochemistry (29.94%)

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

Computational biology, Synthetic biology, Biochemistry, Terpene synthase activity and Spider silk are her primary areas of study. Her Computational biology research incorporates elements of Plasmid, Gene, Function, Streptomyces and Gene regulatory network. Her work on Regulation of gene expression, Gene expression and Expression vector as part of general Gene study is frequently linked to Software portability and Expression, bridging the gap between disciplines.

The study incorporates disciplines such as Directed evolution and Nanotechnology in addition to Synthetic biology. All of her Biochemistry and Extracellular, Secondary metabolite, Actinorhodin and Streptomyces coelicolor investigations are sub-components of the entire Biochemistry study. She has researched Gene cluster in several fields, including Metabolome and Nucleotide.

Between 2018 and 2021, her most popular works were:

  • Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli (36 citations)
  • An automated pipeline for the screening of diverse monoterpene synthase libraries. (18 citations)
  • Rapid prototyping of microbial production strains for the biomanufacture of potential materials monomers (15 citations)

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

  • Gene
  • Enzyme
  • DNA

Her main research concerns Computational biology, Synthetic biology, Pipeline, Escherichia coli and Function. Her Computational biology research incorporates themes from Nanopore sequencing, Nanopore and Gene, Sequence analysis, Polymerase chain reaction. In her works, she conducts interdisciplinary research on Gene and Software portability.

The concepts of her Synthetic biology study are interwoven with issues in Chemical space and Systems engineering. She combines subjects such as Polyketide synthase, Streptomyces resistomycificus, Polyketide, Biosynthesis and Systems biology with her study of Escherichia coli. Her Function study integrates concerns from other disciplines, such as Gene expression profiling, Identification, Regulation of gene expression, Multi gene and Gene regulatory network.

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

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

Insights into secondary metabolism from a global analysis of prokaryotic biosynthetic gene clusters.

Peter Cimermancic;Marnix H. Medema;Jan Claesen;Kenji Kurita.
Cell (2014)

611 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

γ-Butyrolactones: Streptomyces signalling molecules regulating antibiotic production and differentiation

Eriko Takano.
Current Opinion in Microbiology (2006)

371 Citations

Transcriptional regulation of the redD transcriptional activator gene accounts for growth-phase-dependent production of the antibiotic undecylprodigiosin in Streptomyces coelicolor A3(2).

E. Takano;H. C. Gramajo;E. Strauch;N. Andres.
Molecular Microbiology (1992)

276 Citations

A complex role for the γ‐butyrolactone SCB1 in regulating antibiotic production in Streptomyces coelicolor A3(2)

Eriko Takano;Rekha Chakraburtty;Takuya Nihira;Yashuhiro Yamada.
Molecular Microbiology (2008)

268 Citations

Detecting sequence homology at the gene cluster level with MultiGeneBlast.

Marnix H. Medema;Eriko Takano;Eriko Takano;Rainer Breitling;Rainer Breitling;Rainer Breitling.
Molecular Biology and Evolution (2013)

252 Citations

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