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 45 Citations 16,943 108 World Ranking 13162 National Ranking 294

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Enzyme

The scientist’s investigation covers issues in CRISPR, Genetics, Trans-activating crRNA, CRISPR interference and CRISPR Loci. His CRISPR research is multidisciplinary, incorporating perspectives in Plasmid, Computational biology and Escherichia coli. His DNA and Horizontal gene transfer study are his primary interests in Genetics.

His Trans-activating crRNA study incorporates themes from RNA, Locus and Guide RNA. His studies deal with areas such as CRISPR Spacers and Cell biology as well as CRISPR interference. His work on Protospacer adjacent motif expands to the thematically related CRISPR Loci.

His most cited work include:

  • Small CRISPR RNAs guide antiviral defense in prokaryotes (1640 citations)
  • Evolution and classification of the CRISPR-Cas systems (1605 citations)
  • An updated evolutionary classification of CRISPR–Cas systems (1315 citations)

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

Stan J. J. Brouns focuses on CRISPR, DNA, Genetics, Computational biology and CRISPR interference. His CRISPR study combines topics from a wide range of disciplines, such as RNA and Plasmid, Mobile genetic elements. His RNA research integrates issues from Guide RNA and Effector.

His DNA research incorporates elements of Cell biology, Nucleic acid and Escherichia coli. His work in Computational biology tackles topics such as Adaptation which are related to areas like Prophage. His CRISPR interference research incorporates themes from ENCODE and Repeated sequence.

He most often published in these fields:

  • CRISPR (73.08%)
  • DNA (53.85%)
  • Genetics (41.03%)

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

  • CRISPR (73.08%)
  • Computational biology (43.59%)
  • DNA (53.85%)

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

His primary areas of study are CRISPR, Computational biology, DNA, Protospacer adjacent motif and Adaptation. Gene and Genetics are closely tied to his CRISPR research. Stan J. J. Brouns has included themes like Genome editing, Cas9 and CRISPR Arrays in his Computational biology study.

His DNA research is multidisciplinary, relying on both RNA, CRISPR Spacers, Genome and Bacteria. His RNA study combines topics in areas such as Nucleic acid sequence and Nucleic acid. His research in Cleavage intersects with topics in Trans-activating crRNA and Second messenger system.

Between 2018 and 2021, his most popular works were:

  • Evolutionary classification of CRISPR-Cas systems: a burst of class 2 and derived variants. (282 citations)
  • Molecular and Evolutionary Determinants of Bacteriophage Host Range (76 citations)
  • Molecular and Evolutionary Determinants of Bacteriophage Host Range (76 citations)

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

  • Gene
  • DNA
  • Enzyme

Stan J. J. Brouns mainly investigates CRISPR, Computational biology, Protospacer adjacent motif, DNA and CRISPR interference. His CRISPR research includes elements of Base pair, Functional diversity and Locus. His biological study spans a wide range of topics, including Plasmid, Gene, Nuclease and Mobile genetic elements.

Stan J. J. Brouns combines subjects such as Cleavage and In vivo with his study of Protospacer adjacent motif. Stan J. J. Brouns has researched DNA in several fields, including Interference, RNA, Escherichia coli and Effector, Cell biology. Stan J. J. Brouns studied CRISPR interference and ENCODE that intersect with Cascade, Protein subunit and Nucleoid.

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

Small CRISPR RNAs guide antiviral defense in prokaryotes

Stan J. J. Brouns;Matthijs M. Jore;Magnus Lundgren;Edze R. Westra.
Science (2008)

2196 Citations

Evolution and classification of the CRISPR-Cas systems

Kira S. Makarova;Daniel H. Haft;Rodolphe Barrangou;Stan J. J. Brouns.
Nature Reviews Microbiology (2011)

2115 Citations

An updated evolutionary classification of CRISPR–Cas systems

Kira S. Makarova;Yuri I. Wolf;Omer S. Alkhnbashi;Fabrizio Costa.
Nature Reviews Microbiology (2015)

1454 Citations

Interference by clustered regularly interspaced short palindromic repeat (CRISPR) RNA is governed by a seed sequence

Ekaterina Semenova;Matthijs M. Jore;Kirill A. Datsenko;Anna Semenova.
Proceedings of the National Academy of Sciences of the United States of America (2011)

802 Citations

CRISPR-based adaptive and heritable immunity in prokaryotes.

John van der Oost;Matthijs M. Jore;Edze R. Westra;Magnus Lundgren.
Trends in Biochemical Sciences (2009)

581 Citations

CRISPR Immunity Relies on the Consecutive Binding and Degradation of Negatively Supercoiled Invader DNA by Cascade and Cas3

Edze R. Westra;Paul B.G. van Erp;Tim Künne;Shi Pey Wong.
Molecular Cell (2012)

574 Citations

Structural basis for CRISPR RNA-guided DNA recognition by Cascade

Matthijs M Jore;Magnus Lundgren;Magnus Lundgren;Esther van Duijn;Jelle B Bultema.
Nature Structural & Molecular Biology (2011)

566 Citations

Structures of the RNA-guided surveillance complex from a bacterial immune system

Blake Wiedenheft;Gabriel C. Lander;Kaihong Zhou;Matthijs M. Jore.
Nature (2011)

487 Citations

CRISPR interference directs strand specific spacer acquisition.

Daan C. Swarts;Cas Mosterd;Mark W. J. van Passel;Stan J. J. Brouns.
PLOS ONE (2012)

374 Citations

The CRISPRs, They Are A-Changin': How Prokaryotes Generate Adaptive Immunity

Edze R Westra;Daan C Swarts;Raymond H J Staals;Matthijs M Jore.
Annual Review of Genetics (2012)

340 Citations

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