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 42 Citations 29,832 72 World Ranking 15404 National Ranking 6397

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genome

Manuel Garber spends much of his time researching Genetics, Gene, Computational biology, Genomics and Genome. His study in Genetics concentrates on Regulation of gene expression, Gene expression profiling, Transcription factor, Chromatin and Whole genome sequencing. His Transcription factor research is multidisciplinary, incorporating elements of Embryonic stem cell, Induced pluripotent stem cell, Non-coding RNA, Transcription and Cell biology.

His Gene research is mostly focused on the topic RNA. In his study, Transcriptome, Annotation, RNA-Seq, Genomic library and GENCODE is inextricably linked to Sequence analysis, which falls within the broad field of Computational biology. Within one scientific family, he focuses on topics pertaining to Molecular evolution under Genomics, and may sometimes address concerns connected to Conserved sequence.

His most cited work include:

  • Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals (3061 citations)
  • Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression (2244 citations)
  • Genome sequence, comparative analysis and haplotype structure of the domestic dog (2011 citations)

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

His primary areas of investigation include Genetics, Gene, Computational biology, Cell biology and RNA. His work in Regulation of gene expression, Genome, Transcription factor, Human genome and Chromatin are all subfields of Genetics research. The Exon, Intergenic region and Genetic variation research Manuel Garber does as part of his general Gene study is frequently linked to other disciplines of science, such as Genetic variability, therefore creating a link between diverse domains of science.

The various areas that Manuel Garber examines in his Computational biology study include RNA-Seq, Transcriptome, Molecular evolution, Comparative genomics and Sequence analysis. The Cell biology study combines topics in areas such as Embryonic stem cell, Downregulation and upregulation, Gene expression and Cell type. His RNA study combines topics in areas such as Molecular biology and Cell, Single-cell analysis.

He most often published in these fields:

  • Genetics (43.86%)
  • Gene (23.68%)
  • Computational biology (21.93%)

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

  • Cell (8.77%)
  • Cell biology (17.54%)
  • Cell type (7.02%)

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

Manuel Garber mostly deals with Cell, Cell biology, Cell type, Vitiligo and Immunology. He has included themes like Fragile X syndrome, RNA, Molecular biology, Translation and PI3K/AKT/mTOR pathway in his Cell study. He combines subjects such as Chromatin, Locus and Immunoprecipitation with his study of RNA.

His Cell biology research is multidisciplinary, relying on both Interferon-stimulated gene, Transcriptome and Adipocyte. His Epigenetics study incorporates themes from Computational biology and Gene expression. The concepts of his Computational biology study are interwoven with issues in Nuclear organization, Genome and Nucleolus, Nucleus.

Between 2017 and 2021, his most popular works were:

  • SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues. (901 citations)
  • Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus (306 citations)
  • DEBrowser: interactive differential expression analysis and visualization tool for count data (77 citations)

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

  • Gene
  • DNA
  • Genome

Computational biology, Comparative genomics, Transcriptome, Cell biology and Graphical user interface are his primary areas of study. His Computational biology research incorporates themes from Enhancer and Regulation of gene expression, Sequence motif, Epigenetics, Gene. His Comparative genomics research is under the purview of Genomics.

His Transcriptome study combines topics from a wide range of disciplines, such as Immunofluorescence, Autoimmunity and Islet. His research investigates the connection between Islet and topics such as Major histocompatibility complex that intersect with issues in Molecular biology and Transcriptional regulation. His studies in Cell biology integrate themes in fields like Cell culture, Interferon-stimulated gene, Downregulation and upregulation and Single-cell analysis.

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

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

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

Genome sequence, comparative analysis and haplotype structure of the domestic dog

Kerstin Lindblad-Toh;Claire M Wade;Claire M Wade;Tarjei S. Mikkelsen;Tarjei S. Mikkelsen;Elinor K. Karlsson;Elinor K. Karlsson.
Nature (2005)

2490 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

lincRNAs act in the circuitry controlling pluripotency and differentiation

Mitchell Guttman;Julie Donaghey;Bryce W. Carey;Manuel Garber.
Nature (2011)

1780 Citations

Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs

Mitchell Guttman;Manuel Garber;Joshua Z Levin;Julie Donaghey.
Nature Biotechnology (2010)

1297 Citations

Computational methods for transcriptome annotation and quantification using RNA-seq

Manuel Garber;Manfred G Grabherr;Mitchell Guttman;Cole Trapnell;Cole Trapnell.
Nature Methods (2011)

1077 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)

980 Citations

Large intergenic non-coding RNA-RoR modulates reprogramming of human induced pluripotent stem cells

Sabine Loewer;Moran N Cabili;Moran N Cabili;Mitchell Guttman;Yuin-Han Loh.
Nature Genetics (2010)

864 Citations

Genome sequence, comparative analysis, and population genetics of the domestic horse.

C. M. Wade;E. Giulotto;S. Sigurdsson;M. Zoli.
Science (2009)

722 Citations

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