H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Genetics and Molecular Biology D-index 53 Citations 12,313 172 World Ranking 3263 National Ranking 102

Research.com Recognitions

Awards & Achievements

2009 - Fellow of the International Society for Computational Biology

1995 - Fellow of the Royal Society of Canada Academy of Science

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Genome
  • Linguistics

His primary areas of study are Genome, Genetics, Gene, Combinatorics and Phylogenetics. His biological study spans a wide range of topics, including Evolutionary biology, DNA microarray and Edit distance. His Evolutionary biology research is multidisciplinary, incorporating elements of Lineage, Brassicaceae, Molecular evolution and Paleopolyploidy.

In his research, Gene map is intimately related to Computational biology, which falls under the overarching field of Genetics. The concepts of his Combinatorics study are interwoven with issues in Discrete mathematics, Phylogenetic inference and Compatibility. He has included themes like Ribosomal RNA, Nucleic acid sequence and Phylogenetic tree in his Phylogenetics study.

His most cited work include:

  • Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison (1639 citations)
  • Polyploidy and angiosperm diversification (802 citations)
  • An ancestral mitochondrial DNA resembling a eubacterial genome in miniature (539 citations)

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

David Sankoff focuses on Genome, Genetics, Gene, Evolutionary biology and Combinatorics. The various areas that David Sankoff examines in his Genome study include Computational biology, Phylogenetic tree and Breakpoint. Genetics is represented through his Phylogenetics, Chromosome, DNA microarray, Gene rearrangement and Molecular evolution research.

His Chromosome research incorporates themes from Bioinformatics and Chromosomal translocation. As part of the same scientific family, he usually focuses on Evolutionary biology, concentrating on Genome evolution and intersecting with Genome project. His studies deal with areas such as Discrete mathematics, Breakpoint graph and Set as well as Combinatorics.

He most often published in these fields:

  • Genome (47.58%)
  • Genetics (33.33%)
  • Gene (27.07%)

What were the highlights of his more recent work (between 2009-2021)?

  • Genome (47.58%)
  • Gene (27.07%)
  • Genetics (33.33%)

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

His primary scientific interests are in Genome, Gene, Genetics, Evolutionary biology and Combinatorics. His research in Genome intersects with topics in DNA microarray, Computational biology and Phylogenetic tree. His work on Gene duplication, Chromosome, Whole genome duplication and Comparative genomics as part of general Gene research is frequently linked to Fractionation, bridging the gap between disciplines.

The study of Genetics is intertwined with the study of Coffea canephora in a number of ways. The Evolutionary biology study combines topics in areas such as Phylogenetics, Clade, Lineage, Whole genome sequencing and Orthologous Gene. His Combinatorics research is multidisciplinary, incorporating perspectives in Set and Median.

Between 2009 and 2021, his most popular works were:

  • The coffee genome provides insight into the convergent evolution of caffeine biosynthesis (322 citations)
  • The pineapple genome and the evolution of CAM photosynthesis (266 citations)
  • Locating rearrangement events in a phylogeny based on highly fragmented assemblies (207 citations)

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

  • Gene
  • Genome
  • Linguistics

David Sankoff mostly deals with Genome, Gene, Genetics, Genomics and Gene duplication. His research integrates issues of Evolutionary biology, Phylogenetics, Computational biology and Combinatorics in his study of Genome. His Combinatorics research is multidisciplinary, incorporating elements of Pairwise comparison, Gene orders and Breakpoint.

David Sankoff combines subjects such as Ananas bracteatus, Saccharum and Saccharum officinarum with his study of Gene. Many of his studies on Genetics apply to Saccharum spontaneum as well. The study incorporates disciplines such as Genome evolution, Arabidopsis and Utricularia gibba in addition to Gene duplication.

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

Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison

David Sankoff;Joseph B. Kruskal.
(1983)

2727 Citations

Variable Rules: Performance as a Statistical Reflection of Competence

Henrietta J. Cedergren;David Sankoff.
Language (1974)

1103 Citations

Polyploidy and angiosperm diversification

Douglas E. Soltis;Victor A. Albert;Jim Leebens-Mack;Charles D. Bell.
American Journal of Botany (2009)

1043 Citations

A formal grammar for code‐switching 1

David Sankoff;Shana Poplack.
Research on Language and Social Interaction (1981)

793 Citations

The social correlates and linguistic processes of lexical borrowing and assimilation

Shana Poplack;David Sankoff;Christopher Miller.
Linguistics (1988)

754 Citations

An ancestral mitochondrial DNA resembling a eubacterial genome in miniature

Lang Bf;Burger G;O'Kelly Cj;Cedergren R.
Nature (1997)

723 Citations

RNA secondary structures and their prediction

Michael Zuker;David Sankoff.
Bulletin of Mathematical Biology (1984)

717 Citations

Simultaneous Solution of the RNA Folding, Alignment and Protosequence Problems

David Sankoff.
Siam Journal on Applied Mathematics (1985)

701 Citations

Minimal Mutation Trees of Sequences

David Sankoff.
Siam Journal on Applied Mathematics (1975)

666 Citations

Gene order comparisons for phylogenetic inference: evolution of the mitochondrial genome.

D Sankoff;G Leduc;N Antoine;B Paquin.
Proceedings of the National Academy of Sciences of the United States of America (1992)

513 Citations

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