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 124 Citations 125,894 228 World Ranking 167 National Ranking 100

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

His scientific interests lie mostly in Genetics, Computational biology, RNA, Regulation of gene expression and Gene. His is doing research in Non-coding RNA, Intergenic region, Gene expression profiling, Transcription factor and Chromatin, both of which are found in Genetics. His studies deal with areas such as Transcriptome and Genomic library as well as Gene expression profiling.

His Computational biology research includes themes of Conserved sequence, Function, Functional genomics, Genomics and Sequence analysis. His research investigates the link between Genomics and topics such as Systems biology that cross with problems in Molecular evolution, SOX2 and Transcriptional noise. His research integrates issues of Embryonic stem cell, Gene expression, Cellular differentiation, HOTAIR and RNA-binding protein in his study of Regulation of gene expression.

His most cited work include:

  • Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (8144 citations)
  • Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (8144 citations)
  • Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis (3610 citations)

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

John L. Rinn mainly focuses on Genetics, Computational biology, RNA, Gene and Regulation of gene expression. Chromatin, Non-coding RNA, Transcription, Gene expression and Enhancer are the primary areas of interest in his Genetics study. His Chromatin research is multidisciplinary, incorporating elements of Embryonic stem cell, Epigenomics, Histone and Conserved sequence.

His biological study spans a wide range of topics, including RNA-Seq, Genome, Genomics, Epigenetics and Human genetics. John L. Rinn works mostly in the field of RNA, limiting it down to topics relating to Cell biology and, in certain cases, Induced pluripotent stem cell, Cellular differentiation and Locus. His work deals with themes such as Cell nucleus, Cell type and Systems biology, which intersect with Regulation of gene expression.

He most often published in these fields:

  • Genetics (109.03%)
  • Computational biology (76.95%)
  • RNA (61.06%)

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

  • Gene (57.94%)
  • Computational biology (76.95%)
  • RNA (61.06%)

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

His primary scientific interests are in Gene, Computational biology, RNA, Cell biology and Transcription. His Gene study is concerned with the larger field of Genetics. His Computational biology research incorporates themes from RNA-Seq, Genome, Linkage disequilibrium, Disease and Long non-coding RNA.

The RNA study combines topics in areas such as Enhancer, Promoter, Human genome and DNA. John L. Rinn interconnects Embryonic stem cell, Alternative splicing, Ectopic expression, Chromatin and Locus in the investigation of issues within Cell biology. His Transcription study combines topics in areas such as Gene expression and Induced pluripotent stem cell.

Between 2017 and 2021, his most popular works were:

  • Expanded encyclopaedias of DNA elements in the human and mouse genomes (141 citations)
  • An Integrated Genome-wide CRISPRa Approach to Functionalize lncRNAs in Drug Resistance (109 citations)
  • Genetic determinants and epigenetic effects of pioneer-factor occupancy (80 citations)

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

  • Gene
  • DNA
  • Gene expression

His main research concerns Computational biology, RNA, Cell biology, Gene and Transcription. The concepts of his Computational biology study are interwoven with issues in Regulation of gene expression, Genome, Myogenesis and DNA methylation. His study in RNA is interdisciplinary in nature, drawing from both Enhancer and Promoter.

His Enhancer study is associated with Genetics. His studies deal with areas such as Transcriptome, RNA-Seq, CLK3 and Locus as well as Cell biology. His study in the field of Transcription factor and Long non-coding RNA is also linked to topics like Mechanism.

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

Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

Cole Trapnell;Adam Roberts;Loyal Goff;Loyal Goff;Loyal Goff;Geo Pertea.
Nature Protocols (2012)

9053 Citations

Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis

Rajnish A. Gupta;Nilay R. Shah;Kevin C. Wang;Jeewon Kim.
Nature (2010)

4415 Citations

Functional Demarcation of Active and Silent Chromatin Domains in Human HOX Loci by Noncoding RNAs

John L. Rinn;Michael Kertesz;Jordon K. Wang;Sharon L. Squazzo.
Cell (2007)

3945 Citations

Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals

Mitchell Guttman;Ido Amit;Manuel Garber;Courtney French.
Nature (2009)

3743 Citations

Genome Regulation by Long Noncoding RNAs

John L. Rinn;Howard Y. Chang.
Annual Review of Biochemistry (2012)

2951 Citations

Differential analysis of gene regulation at transcript resolution with RNA-seq

Cole Trapnell;David G Hendrickson;David G Hendrickson;Martin Sauvageau;Martin Sauvageau;Loyal Goff;Loyal Goff.
Nature Biotechnology (2013)

2805 Citations

Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression

Ahmad M. Khalil;Mitchell Guttman;Maite Huarte;Manuel Garber.
Proceedings of the National Academy of Sciences of the United States of America (2009)

2682 Citations

Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses

Moran N. Cabili;Cole Trapnell;Cole Trapnell;Loyal Goff;Magdalena J. Koziol;Magdalena J. Koziol.
Genes & Development (2011)

2673 Citations

The ENCODE (ENCyclopedia of DNA elements) Project

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

2634 Citations

A Large Intergenic Noncoding RNA Induced by p53 Mediates Global Gene Repression in the p53 Response

Maite Huarte;Mitchell Guttman;Mitchell Guttman;David Feldser;Manuel Garber.
Cell (2010)

1853 Citations

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