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 122 Citations 85,227 276 World Ranking 243 National Ranking 13

Research.com Recognitions

Awards & Achievements

2014 - Fellow of the Royal Society of Edinburgh

Overview

What is he best known for?

The fields of study he is best known for:

  • Virus
  • Gene
  • Genome

Andrew Rambaut mainly focuses on Virology, Phylogenetic tree, Genetics, Phylogenetics and Evolutionary biology. He combines subjects such as Middle East respiratory syndrome coronavirus and Pandemic with his study of Virology. His primary area of study in Phylogenetic tree is in the field of Molecular clock.

His Molecular evolution, Host adaptation, Gene and Phylogenetic inference study, which is part of a larger body of work in Genetics, is frequently linked to Substitution, bridging the gap between disciplines. His Phylogenetics research is multidisciplinary, relying on both Data mining, Recombination, Bayes' theorem and Markov chain Monte Carlo. His Evolutionary biology research integrates issues from Sampling, Genome and Viral phylodynamics.

His most cited work include:

  • BEAST: Bayesian evolutionary analysis by sampling trees (10037 citations)
  • Bayesian Phylogenetics with BEAUti and the BEAST 1.7 (7195 citations)
  • Relaxed Phylogenetics and Dating with Confidence (4729 citations)

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

Virology, Phylogenetic tree, Genetics, Evolutionary biology and Phylogenetics are his primary areas of study. His work in Virology addresses subjects such as Pandemic, which are connected to disciplines such as Influenza A virus. He has researched Phylogenetic tree in several fields, including Genome, Bayesian probability and Molecular epidemiology.

His Bayesian probability research incorporates themes from Inference and Coalescent theory. His studies examine the connections between Evolutionary biology and genetics, as well as such issues in Phylogeography, with regards to Biological dispersal. Andrew Rambaut does research in Phylogenetics, focusing on Viral phylodynamics specifically.

He most often published in these fields:

  • Virology (37.40%)
  • Phylogenetic tree (30.79%)
  • Genetics (26.21%)

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

  • Severe acute respiratory syndrome coronavirus 2 (5.85%)
  • Phylogenetic tree (30.79%)
  • Evolutionary biology (24.43%)

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

His scientific interests lie mostly in Severe acute respiratory syndrome coronavirus 2, Phylogenetic tree, Evolutionary biology, Genome and Pandemic. His Severe acute respiratory syndrome coronavirus 2 research incorporates elements of Epidemiology and Outbreak, 2019-20 coronavirus outbreak. The Phylogenetic tree study combines topics in areas such as Phylogenetics, Inference and Bayesian probability.

His study in Evolutionary biology is interdisciplinary in nature, drawing from both Genetic diversity, Lineage and Coronavirus. His Genome research is multidisciplinary, incorporating elements of Virus and Founder effect. His Molecular evolution research is multidisciplinary, incorporating perspectives in Lineage, Molecular clock and Virology.

Between 2018 and 2021, his most popular works were:

  • The proximal origin of SARS-CoV-2. (1918 citations)
  • BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis. (591 citations)
  • A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology. (470 citations)

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

  • Virus
  • Gene
  • Genome

The scientist’s investigation covers issues in Phylogenetic tree, Transmission, Severe acute respiratory syndrome coronavirus 2, Genome and Evolutionary biology. His Transmission study combines topics in areas such as Outbreak, Family medicine, Genomics, Structured interview and Pandemic. His Genome study integrates concerns from other disciplines, such as Biological dispersal, Phylogenetics and Founder effect.

Andrew Rambaut has included themes like Recombination, Evolutionary change, Whole genome sequencing and Bayes' theorem in his Phylogenetics study. His Evolutionary biology study incorporates themes from Phylogenetic diversity, Lineage and Genetic diversity. Andrew Rambaut interconnects Receptor and Polyclonal antibodies in the investigation of issues within Virology.

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

BEAST: Bayesian evolutionary analysis by sampling trees

Alexei J Drummond;Andrew Rambaut.
BMC Evolutionary Biology (2007)

12191 Citations

Bayesian Phylogenetics with BEAUti and the BEAST 1.7

Alexei J. Drummond;Marc A. Suchard;Dong-jie Xie;Andrew Rambaut.
Molecular Biology and Evolution (2012)

8894 Citations

Relaxed Phylogenetics and Dating with Confidence

Alexei J Drummond;Simon Y. W Ho;Matthew J Phillips;Andrew Rambaut.
PLOS Biology (2006)

5643 Citations

BEAST 2: A Software Platform for Bayesian Evolutionary Analysis

Remco R. Bouckaert;Joseph Heled;Denise Kühnert;Timothy G. Vaughan.
PLOS Computational Biology (2014)

4214 Citations

Bayesian Coalescent Inference of Past Population Dynamics from Molecular Sequences

A J Drummond;A Rambaut;B Shapiro;O G Pybus.
Molecular Biology and Evolution (2005)

2798 Citations

Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7.

Andrew Rambaut;Alexei J Drummond;Dong Xie;Guy Baele.
Systematic Biology (2018)

2655 Citations

Origins and evolutionary genomics of the 2009 swine-origin H1N1 influenza A epidemic.

Gavin J. D. Smith;Dhanasekaran Vijaykrishna;Justin Bahl;Samantha J. Lycett.
Nature (2009)

2353 Citations

Pandemic Potential of a Strain of Influenza A (H1N1) : Early Findings

Christophe Fraser;Christl A. Donnelly;Simon Cauchemez;William P. Hanage.
Science (2009)

2286 Citations

Seq-Gen: an application for the Monte Carlo simulation of DNA sequence evolution along phylogenetic trees

Nicholas C. Grassly;Jun Adachi;Andrew Rambaut.
Bioinformatics (1997)

1689 Citations

Comparative analysis by independent contrasts (CAIC): an Apple Macintosh application for analysing comparative data.

Andy Purvis;Andrew Rambaut.
Bioinformatics (1995)

1354 Citations

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