H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 92 Citations 64,046 257 World Ranking 983 National Ranking 598

Research.com Recognitions

Awards & Achievements

2018 - ACM Paris Kanellakis Theory and Practice Award For pioneering contributions to the theory, design, and implementation of algorithms for string reconstruction and to their applications in the assembly of genomes.

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

2016 - Member of Academia Europaea

2012 - Fellow of the International Society for Computational Biology

2010 - ACM Fellow For contribution to algorithms for genome rearrangements, DNA sequencing, and proteomics.


What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genome
  • DNA

Pavel A. Pevzner mainly focuses on Genetics, Genome, Computational biology, DNA sequencing and Genomics. His studies examine the connections between Genetics and genetics, as well as such issues in Evolutionary biology, with regards to Phylogenetic tree, Earth Microbiome Project and Human microbiome. His Genome research includes elements of Sequence assembly and Benchmark.

His Computational biology research is multidisciplinary, incorporating perspectives in Peptide spectral library, Mass spectrometry, Plasmidome and Bacterial genome size. Pavel A. Pevzner interconnects Algorithm, Theoretical computer science and Identification in the investigation of issues within DNA sequencing. The study incorporates disciplines such as Sequence analysis, Gene prediction and Metagenomics in addition to Genomics.

His most cited work include:

  • SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing (10701 citations)
  • Initial sequencing and comparative analysis of the mouse genome. (5789 citations)
  • Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution (2193 citations)

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

Computational biology, Genome, Genetics, DNA sequencing and Algorithm are his primary areas of study. His Computational biology study combines topics in areas such as Tandem mass spectrometry, Mass spectrometry, Proteomics and Bioinformatics. His work deals with themes such as Sequence assembly and Metagenomics, which intersect with Genome.

Pavel A. Pevzner usually deals with Sequence assembly and limits it to topics linked to De Bruijn graph and Theoretical computer science. His Metagenomics study combines topics from a wide range of disciplines, such as Microbiome, Human gut and Sequence analysis. His Genetics study frequently links to related topics such as Evolutionary biology.

He most often published in these fields:

  • Computational biology (49.48%)
  • Genome (40.10%)
  • Genetics (28.91%)

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

  • Computational biology (49.48%)
  • Genome (40.10%)
  • Metagenomics (17.45%)

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

His primary areas of investigation include Computational biology, Genome, Metagenomics, Sequence assembly and Gene. His Computational biology research is multidisciplinary, incorporating elements of Molecular network, Molecular networking, Metabolomics, Bacterial genome size and Human gut. His biological study spans a wide range of topics, including Human genetics and Haplotype.

Metagenomics is a subfield of Genetics that Pavel A. Pevzner explores. His research integrates issues of Structural variation and De Bruijn graph, Graph in his study of Sequence assembly. The various areas that Pavel A. Pevzner examines in his Genomics study include Cyanobacteria, Natural product, Multi omics and Conserved sequence.

Between 2017 and 2021, his most popular works were:

  • Assembly of long, error-prone reads using repeat graphs (496 citations)
  • American Gut: an Open Platform for Citizen Science Microbiome Research. (254 citations)
  • Telomere-to-telomere assembly of a complete human X chromosome. (126 citations)

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

  • Gene
  • DNA
  • Genome

His primary scientific interests are in Computational biology, Metagenomics, Genome, Molecular networking and Molecular network. Pavel A. Pevzner merges Computational biology with Viral Identification in his research. His studies deal with areas such as Microbiome, Human gut, Human microbiome, Plasmid and Scalability as well as Metagenomics.

Pavel A. Pevzner has researched Genome in several fields, including Graph and Sequence assembly. His Sequence assembly research incorporates themes from Repetitive Regions, Algorithm, Theoretical computer science and De Bruijn graph. His Molecular network research integrates issues from Protein identification, Metabolomics and Drug discovery.

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

SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing

Anton Bankevich;Sergey Nurk;Dmitry Antipov;Alexey A. Gurevich.
Journal of Computational Biology (2012)

12523 Citations

Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Nature (2002)

7302 Citations

Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

Ladeana W. Hillier;Webb Miller;Ewan Birney;Wesley Warren.
Nature (2004)

2419 Citations

Genome sequence of the Brown Norway rat yields insights into mammalian evolution

Richard A. Gibbs;George M. Weinstock;Michael L. Metzker;Donna M. Muzny.
Nature (2004)

2192 Citations

An Eulerian path approach to DNA fragment assembly

Pavel A. Pevzner;Haixu Tang;Michael S. Waterman.
Proceedings of the National Academy of Sciences of the United States of America (2001)

1595 Citations

Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

Mingxun Wang;Jeremy J Carver;Vanessa V Phelan;Laura M Sanchez.
Nature Biotechnology (2016)

1318 Citations

Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals

Sridhar Hannenhalli;Pavel A. Pevzner.
Journal of the ACM (1999)

1144 Citations

MetaSPAdes: A new versatile metagenomic assembler

Sergey Nurk;Dmitry Meleshko;Anton Korobeynikov;Pavel A. Pevzner;Pavel A. Pevzner.
Genome Research (2017)

1058 Citations

De novo identification of repeat families in large genomes

Alkes L. Price;Neil C. Jones;Pavel A. Pevzner.
Bioinformatics (2005)

1046 Citations

Computational molecular biology : an algorithmic approach

Pavel A. Pevzner.

999 Citations

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