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
Genetics and Molecular Biology D-index 52 Citations 17,498 155 World Ranking 3402 National Ranking 5

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

The scientist’s investigation covers issues in Genetics, Computational biology, Gene, Regulation of gene expression and Promoter. His research in Human genome, Genome, Genomics, Genome project and Sequence analysis are components of Genetics. His studies in Computational biology integrate themes in fields like DNA binding site, Coding, DNA sequencing and Pharmacology.

The Gene study which covers Estrogen receptor that intersects with Chromatin immunoprecipitation. His Regulation of gene expression research integrates issues from Transcriptional regulation, Transcription factor, Gene expression and Gene expression profiling. His Promoter research is multidisciplinary, relying on both Consensus sequence and In silico.

His most cited work include:

  • The Transcriptional Landscape of the Mammalian Genome (2876 citations)
  • Genome-wide analysis of mammalian promoter architecture and evolution (1086 citations)
  • Genome-wide analysis of mammalian promoter architecture and evolution (1086 citations)

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

Vladimir B. Bajic mainly focuses on Genetics, Gene, Computational biology, Genome and Promoter. All of his Genetics and Transcription factor, Human genome, Transcriptional regulation, Genomics and DNA binding site investigations are sub-components of the entire Genetics study. Vladimir B. Bajic focuses mostly in the field of Transcription factor, narrowing it down to matters related to Regulation of gene expression and, in some cases, Gene expression and Gene expression profiling.

His Gene study combines topics from a wide range of disciplines, such as Database and Bioinformatics. His Computational biology study integrates concerns from other disciplines, such as Annotation, Genome project and genomic DNA. Vladimir B. Bajic is involved in the study of Promoter that focuses on RNA polymerase II in particular.

He most often published in these fields:

  • Genetics (29.71%)
  • Gene (24.67%)
  • Computational biology (23.87%)

What were the highlights of his more recent work (between 2017-2020)?

  • Computational biology (23.87%)
  • Genome (15.38%)
  • Gene (24.67%)

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

Vladimir B. Bajic focuses on Computational biology, Genome, Gene, Artificial intelligence and Bay. His studies deal with areas such as genomic DNA, DNA, Proteome, Human genome and Coding as well as Computational biology. His study in Genome is interdisciplinary in nature, drawing from both Evolutionary biology, Oryza sativa, Serotype and Bacteria.

Gene is a subfield of Genetics that he tackles. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, In silico, Pattern recognition and Position weight matrix. The study incorporates disciplines such as Seawater, Ecology, Bathycoccus, Chlorophyll a and Metagenomics in addition to Bay.

Between 2017 and 2020, his most popular works were:

  • HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis (277 citations)
  • LncBook: a curated knowledgebase of human long non-coding RNAs. (74 citations)
  • DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches (57 citations)

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

  • Gene
  • DNA
  • Bacteria

His primary scientific interests are in Computational biology, Regulation of gene expression, Data mining, Genetics and DNA. His research in Computational biology intersects with topics in False positive paradox, Coding, Peak calling and Genome. His work in the fields of Genome, such as Genome variation, overlaps with other areas such as Functional significance.

Regulation of gene expression is a subfield of Gene that Vladimir B. Bajic investigates. His study in Enhancer, CpG site, Promoter, Regulatory sequence and DNA methylation is carried out as part of his studies in Genetics. Vladimir B. Bajic has researched DNA in several fields, including Molecular biology, Transcription factor, Human genome and Binding site.

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

The Transcriptional Landscape of the Mammalian Genome

P. Carninci;T. Kasukawa;S. Katayama;J. Gough.
Science (2005)

3468 Citations

Genome-wide analysis of mammalian promoter architecture and evolution

Piero Carninci;Albin Sandelin;Boris Lenhard;Boris Lenhard;Shintaro Katayama.
Nature Genetics (2006)

1406 Citations

On the classification of long non - coding RNAs

Lina Ma;Vladimir B. Bajic;Zhang Zhang.
RNA Biology (2013)

766 Citations

An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man

Timothy Ravasi;Harukazu Suzuki;Carlo Vittorio Cannistraci;Shintaro Katayama.
Cell (2010)

717 Citations

The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

Harukazu Suzuki;Alistair R.R. Forrest;Erik Van Nimwegen;Carsten O. Daub.
Nature Genetics (2009)

434 Citations

Genomic anatomy of the hippocampus.

Carol L. Thompson;Sayan D. Pathak;Andreas Jeromin;Lydia L. Ng.
Neuron (2008)

347 Citations

Complex Loci in Human and Mouse Genomes

Par G Engstrom;Harukazu Suzuki;Noriko Ninomiya;Altuna Akalin.
PLOS Genetics (2006)

326 Citations

Discovery of estrogen receptor α target genes and response elements in breast tumor cells

Chin-Yo Lin;Anders M. Strom;Vinsensius Berlian Vega;Say Li Kong.
Genome Biology (2004)

320 Citations

In silico toxicology: computational methods for the prediction of chemical toxicity

Arwa B. Raies;Vladimir B. Bajic.
Wiley Interdisciplinary Reviews: Computational Molecular Science (2016)

316 Citations

EGASP: the human ENCODE Genome Annotation Assessment Project

Roderic Guigó;Paul Flicek;Josep F Abril;Alexandre Reymond.
Genome Biology (2006)

315 Citations

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Best Scientists Citing Vladimir B. Bajic

Piero Carninci

Piero Carninci

Centre for Life

Publications: 185

Yoshihide Hayashizaki

Yoshihide Hayashizaki

RIKEN

Publications: 144

John S. Mattick

John S. Mattick

UNSW Sydney

Publications: 88

David A. Hume

David A. Hume

University of Queensland

Publications: 73

Alistair R. R. Forrest

Alistair R. R. Forrest

Harry Perkins Institute of Medical Research

Publications: 70

Harukazu Suzuki

Harukazu Suzuki

Centre for Life

Publications: 64

Albin Sandelin

Albin Sandelin

University of Copenhagen

Publications: 64

Hideya Kawaji

Hideya Kawaji

Tokyo Metropolitan Institute of Medical Science

Publications: 63

Boris Lenhard

Boris Lenhard

Imperial College London

Publications: 63

Pei-Yuan Qian

Pei-Yuan Qian

Hong Kong University of Science and Technology

Publications: 62

Marcel E. Dinger

Marcel E. Dinger

UNSW Sydney

Publications: 55

Vladimir Brusic

Vladimir Brusic

University of Nottingham Ningbo China

Publications: 51

Timo Lassmann

Timo Lassmann

Telethon Kids Institute

Publications: 51

Eric S. Lander

Eric S. Lander

Office of Science and Technology Policy

Publications: 49

Carsten O. Daub

Carsten O. Daub

Karolinska Institute

Publications: 48

John L. Rinn

John L. Rinn

University of Colorado Boulder

Publications: 43

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