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
Biology and Biochemistry D-index 87 Citations 68,725 217 World Ranking 1763 National Ranking 16

Research.com Recognitions

Awards & Achievements

Member of the European Molecular Biology Organization (EMBO)

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • DNA

His primary areas of investigation include Genetics, Cell biology, Chromatin, Computational biology and Transcription factor. His work deals with themes such as Embryonic stem cell and Priming, which intersect with Cell biology. His Chromatin research incorporates elements of Epigenesis and Chromatin immunoprecipitation.

His Computational biology research incorporates themes from RNA-Seq, Cell type, Functional genomics and Gene regulatory network. He has researched Transcription factor in several fields, including Regulation of gene expression, Gene expression and Cellular differentiation. His Genome research is multidisciplinary, relying on both Chromatin Loop and Chromosome conformation capture.

His most cited work include:

  • Full-length transcriptome assembly from RNA-Seq data without a reference genome. (10815 citations)
  • Comprehensive mapping of long-range interactions reveals folding principles of the human genome. (4920 citations)
  • Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals (3061 citations)

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

The scientist’s investigation covers issues in Cell biology, Immune system, Computational biology, Genetics and Immunology. His Cell biology research integrates issues from Transcription factor, Gene and Cellular differentiation. The concepts of his Transcription factor study are interwoven with issues in Regulation of gene expression and Gene expression.

His Immune system study combines topics from a wide range of disciplines, such as Myeloid, Cancer research, Cell and Disease. His studies in Computational biology integrate themes in fields like RNA-Seq, Bioinformatics and Genomics. His work on Genetics deals in particular with Chromatin, Chromatin immunoprecipitation, Genome, Human genome and Gene regulatory network.

He most often published in these fields:

  • Cell biology (34.40%)
  • Immune system (22.94%)
  • Computational biology (27.52%)

What were the highlights of his more recent work (between 2019-2021)?

  • Immune system (22.94%)
  • Cell biology (34.40%)
  • Cancer research (11.93%)

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

Ido Amit mostly deals with Immune system, Cell biology, Cancer research, Immunology and Transcription factor. He combines subjects such as Myeloid, Inflammation, Disease and Cytokine with his study of Immune system. His Cell biology research is multidisciplinary, incorporating elements of Chromatin, Epithelium and Cellular differentiation.

His Transcription factor study integrates concerns from other disciplines, such as Apoptosis, Nod, Insulitis and Cell growth. Ido Amit interconnects Neoplasms therapy, Computational biology and Genomics in the investigation of issues within Immunotherapy. His biological study spans a wide range of topics, including RNA, Transcriptome and Cell type.

Between 2019 and 2021, his most popular works were:

  • Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19. (661 citations)
  • Elevated Calprotectin and Abnormal Myeloid Cell Subsets Discriminate Severe from Mild COVID-19. (164 citations)
  • Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients. (140 citations)

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

  • Gene
  • Cancer
  • DNA

Ido Amit mainly investigates Immune system, Myeloid, Cell biology, Immunology and Tumor microenvironment. His research integrates issues of Cell, Interferon, TREM2, Signal transduction and Tissue damage in his study of Immune system. His study in Myeloid is interdisciplinary in nature, drawing from both Multiple sclerosis, Innate immune system and Myelopoiesis.

His Cell biology research integrates issues from Epithelium and Cellular differentiation. His Immunology study frequently draws connections between related disciplines such as Progenitor cell. His research in Tumor microenvironment intersects with topics in Cancer research, Transcription factor, Epigenetics and Cancer immunology.

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

Full-length transcriptome assembly from RNA-Seq data without a reference genome.

Manfred G Grabherr;Brian J Haas;Moran Yassour;Moran Yassour;Joshua Z Levin.
Nature Biotechnology (2011)

15630 Citations

Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Erez Lieberman-Aiden;Nynke L. van Berkum;Louise Williams;Maxim Imakaev.
Science (2009)

7106 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)

4399 Citations

A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease

Hadas Keren-Shaul;Amit Spinrad;Assaf Weiner;Assaf Weiner;Orit Matcovitch-Natan.
Cell (2017)

2399 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)

2193 Citations

Host microbiota constantly control maturation and function of microglia in the CNS

Daniel Erny;Anna Lena Hrabě de Angelis;Diego Jaitin;Peter Wieghofer.
Nature Neuroscience (2015)

2039 Citations

lincRNAs act in the circuitry controlling pluripotency and differentiation

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

2018 Citations

Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19.

Mingfeng Liao;Yang Liu;Jing Yuan;Yanling Wen.
Nature Medicine (2020)

1966 Citations

Tissue-Resident Macrophage Enhancer Landscapes Are Shaped by the Local Microenvironment

Yonit Lavin;Deborah Winter;Ronnie Blecher-Gonen;Eyal David.
Cell (2014)

1703 Citations

Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types

Diego Adhemar Jaitin;Ephraim Kenigsberg;Hadas Keren-Shaul;Naama Elefant.
Science (2014)

1528 Citations

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