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 55 Citations 29,644 115 World Ranking 7716 National Ranking 3488

Overview

What is he best known for?

The fields of study he is best known for:

  • Genome
  • Gene
  • DNA

Sergey Koren mainly focuses on Computational biology, Genome, Genetics, Sequence assembly and Genomics. His Computational biology research includes elements of Sequence, Sequence analysis, Contig Mapping and Metagenomics. His study in the fields of Hybrid genome assembly, Human genome and Whole genome sequencing under the domain of Genome overlaps with other disciplines such as Data set.

His research in Genetics intersects with topics in Babesiosis and Ixodes, Ecology, Tick. He combines subjects such as k-mer, Reference genome and Nanopore sequencing with his study of Genomics. His Earth Microbiome Project study combines topics from a wide range of disciplines, such as Bioinformatics, Enterotype, Ecology, Gastrointestinal Microbiome and Oral Microbiome.

His most cited work include:

  • Structure, function and diversity of the healthy human microbiome (6128 citations)
  • Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. (2446 citations)
  • A framework for human microbiome research (1583 citations)

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

The scientist’s investigation covers issues in Genome, Computational biology, Sequence assembly, Genetics and Genomics. Genome connects with themes related to DNA sequencing in his study. His Computational biology study integrates concerns from other disciplines, such as Contig, Nanopore sequencing, Chromosome, Sequence analysis and Metagenomics.

His work in the fields of Genetics, such as Hybrid genome assembly, overlaps with other areas such as Ixodes scapularis. In his works, Sergey Koren undertakes multidisciplinary study on Genomics and Algorithm. His Gene course of study focuses on Evolutionary biology and Haplotype, Phylogenetic tree and Gene duplication.

He most often published in these fields:

  • Genome (76.69%)
  • Computational biology (47.24%)
  • Sequence assembly (35.58%)

What were the highlights of his more recent work (between 2019-2021)?

  • Genome (76.69%)
  • Sequence assembly (35.58%)
  • Computational biology (47.24%)

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

Sergey Koren mostly deals with Genome, Sequence assembly, Computational biology, Reference genome and Gene. His studies in Genome integrate themes in fields like Evolutionary biology, Chromosome and Haplotype. His Computational biology study frequently draws parallels with other fields, such as Sequence analysis.

Sergey Koren has included themes like Annotation, Human genetics, Locus and Copy-number variation in his Reference genome study. Gene is a subfield of Genetics that Sergey Koren investigates. The concepts of his Genomics study are interwoven with issues in Genome project and Phred quality score.

Between 2019 and 2021, his most popular works were:

  • Telomere-to-telomere assembly of a complete human X chromosome. (126 citations)
  • De novo assembly of the cattle reference genome with single-molecule sequencing. (81 citations)
  • Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes. (72 citations)

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

  • Genome
  • Gene
  • DNA

Sergey Koren mainly investigates Genome, Reference genome, Computational biology, Sequence assembly and Genomics. His research brings together the fields of Haplotype and Genome. Sergey Koren has researched Reference genome in several fields, including Evolutionary biology and Annotation.

His Evolutionary biology research incorporates themes from Vertebrate and Copy-number variation. His work carried out in the field of Computational biology brings together such families of science as Human genome, Sequence analysis and Nanopore sequencing. In his works, Sergey Koren performs multidisciplinary study on Genomics and Nanopore.

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

Structure, function and diversity of the healthy human microbiome

Curtis Huttenhower;Curtis Huttenhower;Dirk Gevers;Rob Knight;Rob Knight;Sahar Abubucker.
Nature (2012)

6004 Citations

Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation.

Sergey Koren;Brian P. Walenz;Konstantin Berlin;Jason R. Miller.
Genome Research (2017)

2637 Citations

A framework for human microbiome research

Barbara A. Methé;Karen E. Nelson;Mihai Pop;Heather H. Creasy.
Nature (2012)

1614 Citations

Assembly algorithms for next-generation sequencing data.

Jason R. Miller;Sergey Koren;Granger Sutton.
Genomics (2010)

1347 Citations

Nanopore sequencing and assembly of a human genome with ultra-long reads

Miten Jain;Sergey Koren;Karen H Miga;Josh Quick.
Nature Biotechnology (2018)

1290 Citations

Hybrid error correction and de novo assembly of single-molecule sequencing reads

Sergey Koren;Michael C Schatz;Brian P Walenz;Jeffrey Martin.
Nature Biotechnology (2012)

1076 Citations

Mash: fast genome and metagenome distance estimation using MinHash.

Brian D. Ondov;Todd J. Treangen;Páll Melsted;Adam B. Mallonee.
Genome Biology (2016)

990 Citations

The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes.

Todd J Treangen;Brian D Ondov;Sergey Koren;Adam M Phillippy.
Genome Biology (2014)

855 Citations

GAGE: A critical evaluation of genome assemblies and assembly algorithms

Steven L. Salzberg;Adam M. Phillippy;Aleksey Zimin;Daniela Puiu.
Genome Research (2012)

813 Citations

Assembling large genomes with single-molecule sequencing and locality-sensitive hashing

Konstantin Berlin;Konstantin Berlin;Sergey Koren;Chen-Shan Chin;James P Drake.
Nature Biotechnology (2015)

749 Citations

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