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
Genetics D-index 64 Citations 40,944 132 World Ranking 1938 National Ranking 882

Research.com Recognitions

Awards & Achievements

2012 - Fellow of John Simon Guggenheim Memorial Foundation

2009 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genome

His primary scientific interests are in Genetics, Genome, Human genome, Comparative genomics and Evolutionary biology. His study ties his expertise on Computational biology together with the subject of Genetics. The subject of his Genome research is within the realm of Gene.

His Comparative genomics study combines topics in areas such as Latimeria and Zoology. His Evolutionary biology research is multidisciplinary, incorporating elements of Gene rearrangement and Whole genome sequencing. As a member of one scientific family, Adam Siepel mostly works in the field of ENCODE, focusing on GENCODE and, on occasion, Systems biology, Functional genomics, DNase-Seq and DNA.

His most cited work include:

  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project (4297 citations)
  • Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes (2901 citations)

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

Adam Siepel mainly focuses on Genetics, Genome, Computational biology, Gene and Evolutionary biology. His study in Genome focuses on Human genome, Genomics, Comparative genomics, Whole genome sequencing and Human accelerated regions. His work carried out in the field of Human genome brings together such families of science as Genome evolution and Function.

His research in Computational biology intersects with topics in Genome browser, RNA, Selection, microRNA and Statistical model. As a part of the same scientific family, Adam Siepel mostly works in the field of Evolutionary biology, focusing on Natural selection and, on occasion, Genetic algorithm. His ENCODE study frequently draws connections to other fields, such as GENCODE.

He most often published in these fields:

  • Genetics (46.50%)
  • Genome (36.94%)
  • Computational biology (33.76%)

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

  • Gene (28.03%)
  • Genome (36.94%)
  • Computational biology (33.76%)

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

Adam Siepel mostly deals with Gene, Genome, Computational biology, Evolutionary biology and Inference. In the subject of general Genome, his work in Genomics, Negative selection and Gene Annotation is often linked to Pteronotus, thereby combining diverse domains of study. Adam Siepel has researched Genomics in several fields, including Genetic Fitness and Human genome.

The study incorporates disciplines such as RNA, Probabilistic logic, Selection and Statistical model in addition to Computational biology. The Evolutionary biology study which covers Natural selection that intersects with Genetic algorithm and Entropy. In Inference, Adam Siepel works on issues like Computational genomics, which are connected to Field.

Between 2018 and 2021, his most popular works were:

  • A community-maintained standard library of population genetic models. (26 citations)
  • Phastweb: A web interface for evolutionary conservation scoring of multiple sequence alignments using phastCons and phyloP (19 citations)
  • Estimation of allele-specific fitness effects across human protein-coding sequences and implications for disease (15 citations)

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

  • Gene
  • DNA
  • Genome

His scientific interests lie mostly in Genome, Genetic model, Genomics, Data science and Simulation modeling. He interconnects Evolutionary biology and Genetic Fitness, Selection in the investigation of issues within Genome. The various areas that he examines in his Evolutionary biology study include Human genetic variation, Entropy, Natural selection and Probabilistic logic.

Adam Siepel has included themes like Field, Inference and Computational genomics in his Genetic model study. His research integrates issues of Denisovan, Population genetics and Neanderthal genome project in his study of Genomics. His study connects Systems biology and Data science.

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

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Ewan Birney;John A. Stamatoyannopoulos;Anindya Dutta;Roderic Guigó.
Nature (2007)

5709 Citations

Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes

Adam Siepel;Gill Bejerano;Jakob Skou Pedersen;Angie S Hinrichs.
Genome Research (2005)

4463 Citations

The ENCODE (ENCyclopedia of DNA elements) Project

E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz.
Science (2004)

2921 Citations

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

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

2586 Citations

Detection of nonneutral substitution rates on mammalian phylogenies

Katherine S. Pollard;Melissa J. Hubisz;Kate R. Rosenbloom;Adam Siepel.
Genome Research (2010)

2365 Citations

Phylogenetic Hidden Markov Models

Adam Siepel;David Haussler.
(2005)

1772 Citations

Combining phylogenetic and hidden Markov models in biosequence analysis.

Adam C. Siepel;David Haussler.
Journal of Computational Biology (2004)

1532 Citations

Evolutionary and biomedical insights from the rhesus macaque genome

Richard A. Gibbs;Jeffrey Rogers.
Science (2007)

1405 Citations

A high-resolution map of human evolutionary constraint using 29 mammals.

Kerstin Lindblad-Toh;Manuel Garber;Or Zuk;Michael F. Lin;Michael F. Lin.
Nature (2011)

1150 Citations

The UCSC Genome Browser Database: update 2006

A. S. Hinrichs;D. Karolchik;R. Baertsch;G. P. Barber.
Nucleic Acids Research (2006)

1141 Citations

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