D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge Research.com 2022 Best Female Scientist Award Badge

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 188 Citations 184,239 522 World Ranking 14 National Ranking 10
Best female scientists D-index 221 Citations 219,121 653 World Ranking 3 National Ranking 3
Best Scientists D-index 221 Citations 219,121 653 World Ranking 85 National Ranking 60

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Female Scientist Award

2022 - Research.com Best Scientist Award

2022 - Research.com Genetics and Molecular Biology in United States Leader Award

2020 - Member of the National Academy of Medicine (NAM)

2020 - Keio Medical Science Prize, Keio University, Tokyo, Japan

2020 - Lurie Prize in Biomedical Sciences, Foundation for the National Institutes of Health

2019 - Member of the National Academy of Sciences

2017 - Paul Marks Prize for Cancer Research, Memorial Sloan Kettering Cancer Center

2008 - Fellow of Alfred P. Sloan Foundation

2008 - National Institutes of Health Director's Pioneer Award

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • DNA
  • Genetics

Aviv Regev mainly focuses on Genetics, Computational biology, Single-cell analysis, Gene and Gene expression profiling. Her study in the fields of Systems biology under the domain of Computational biology overlaps with other disciplines such as N6-Methyladenosine. Aviv Regev has researched Single-cell analysis in several fields, including Tumor microenvironment, Transcriptome, Cell type and Cell biology.

Her work deals with themes such as ORFS and Function, which intersect with Gene. The Gene expression profiling study combines topics in areas such as Phenotype, Regulation of gene expression, RNA-Seq and Epigenetics. Aviv Regev combines subjects such as Cancer research and In situ hybridization with her study of Cell.

Her most cited work include:

  • Full-length transcriptome assembly from RNA-Seq data without a reference genome. (11720 citations)
  • De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis (4622 citations)
  • Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals (3197 citations)

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

Aviv Regev mostly deals with Computational biology, Cell, Cell biology, Genetics and Cancer research. Her research investigates the link between Computational biology and topics such as Cell type that cross with problems in Neuroscience. Her study in Cell is interdisciplinary in nature, drawing from both RNA, RNA-Seq, Glioma and Tumor microenvironment.

Her Cell biology study combines topics in areas such as T cell, Transcription factor and Cellular differentiation. Genetics is a component of her Gene expression profiling, Genome, Regulation of gene expression, Single-cell analysis and Gene duplication studies. Her Cancer research research includes themes of Cancer cell, Cancer, CD8, Immune system and Cytotoxic T cell.

She most often published in these fields:

  • Computational biology (57.99%)
  • Cell (51.40%)
  • Cell biology (41.34%)

What were the highlights of her more recent work (between 2020-2021)?

  • Cell (51.40%)
  • Transcriptome (32.85%)
  • Computational biology (57.99%)

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

Cell, Transcriptome, Computational biology, Immune system and Cancer research are her primary areas of study. The various areas that Aviv Regev examines in her Cell study include Gene expression, Cancer cell, Genome and Stem cell, Cell biology. Her studies in Cell biology integrate themes in fields like T cell, Transcription factor and Innate lymphoid cell.

Aviv Regev has included themes like RNA, Regulation of gene expression and Gene regulatory network in her Transcriptome study. She interconnects Chromatin, Epigenomics, DNA methylation and Cell type in the investigation of issues within Computational biology. In her research on the topic of Cancer research, Immune checkpoint is strongly related with Cytotoxic T cell.

Between 2020 and 2021, her most popular works were:

  • COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets. (49 citations)
  • Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems. (36 citations)
  • Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems. (36 citations)

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

  • Gene
  • DNA
  • Cancer

Her main research concerns Transcriptome, Computational biology, Cell, Cell biology and Cell type. Gene covers Aviv Regev research in Transcriptome. Her studies deal with areas such as Chromatin, Epigenomics and RNA as well as Computational biology.

Her Cell research is multidisciplinary, relying on both Cancer, Immunotherapy, Gene expression, Gene regulatory network and Cytotoxic T cell. Her Cell biology research incorporates themes from Innate lymphoid cell, Cell fate determination and Epigenome. Her Cancer research research is multidisciplinary, incorporating elements of Mesenchymal stem cell, Synovial sarcoma 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

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)

11351 Citations

De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis

Brian J Haas;Alexie Papanicolaou;Moran Yassour;Moran Yassour;Manfred Grabherr.
Nature Protocols (2013)

4289 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

Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets

Evan Z. Macosko;Evan Z. Macosko;Anindita Basu;Anindita Basu;Rahul Satija;Rahul Satija;James Nemesh;James Nemesh.
Cell (2015)

3119 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

An embryonic stem cell–like gene expression signature in poorly differentiated aggressive human tumors

Ittai Ben-Porath;Matthew W Thomson;Vincent J Carey;Ruping Ge.
Nature Genetics (2008)

2332 Citations

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

Anoop Premswaroop Patel;I. Tirosh;J. J. Trombetta;Alexander Kann Shalek.
Science (2014)

2143 Citations

Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR-Cas system.

Bernd Zetsche;Jonathan S. Gootenberg;Omar O. Abudayyeh;Ian M. Slaymaker.
Cell (2015)

2104 Citations

Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data

Eran Segal;Michael Shapira;Aviv Regev;Aviv Regev;Dana Pe'er.
Nature Genetics (2003)

2042 Citations

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