D-Index & Metrics Best Publications

Aviv Regev

Broad Institute
United States

Genetics and Molecular Biology

USA

2022

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 Citations Publications World Ranking National Ranking

Genetics D-index 159 Citations 145,236 606 World Ranking 58 National Ranking 36

Best female scientists D-index 164 Citations 148,381 653 World Ranking 52 National Ranking 36

Best Scientists D-index 164 Citations 148,381 653 World Ranking 691 National Ranking 440

Research.com Recognitions

Awards & Achievements

2023 - Research.com Best Female Scientist Award

2023 - Research.com Best Scientist Award

2023 - Research.com Genetics in United States Leader Award

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 he best known for?

The fields of study Aviv Regev is best known for:

Gene
DNA
Gene expression

Single-cell analysis and Cell type are the main areas of his Cell studies. He integrates Cell type with Cell in his research. With his scientific publications, his incorporates both Genetics and Cancer. In his papers, he integrates diverse fields, such as Gene and Computational biology. Aviv Regev integrates many fields in his works, including Gene expression and Transcriptome. He brings together Transcriptome and Gene expression to produce work in his papers. In his works, Aviv Regev conducts interdisciplinary research on Cell biology and Gene. In his works, he performs multidisciplinary study on RNA and RNA-Seq. In his study, he carries out multidisciplinary RNA-Seq and RNA research.

His most cited work include:

Full-length transcriptome assembly from RNA-Seq data without a reference genome (14716 citations)
De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis (5896 citations)
Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets (5214 citations)

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

Aviv Regev combines Genetics and Neuroscience in his research. Aviv Regev incorporates Neuroscience and Genetics in his studies. He integrates Gene and Computational biology in his studies. In his study, he carries out multidisciplinary Computational biology and Gene research. He performs integrative study on Gene expression and Transcriptome in his works. Aviv Regev integrates Transcriptome with Gene expression in his study. Cell biology and Immunology are two areas of study in which Aviv Regev engages in interdisciplinary research. In his research, Aviv Regev undertakes multidisciplinary study on Immunology and Immune system. Aviv Regev brings together Cell and Cell type to produce work in his papers.

Aviv Regev most often published in these fields:

Genetics (77.39%)
Gene (68.48%)
Computational biology (50.87%)

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

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)

6262 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)

5117 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

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)

3438 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)

3363 Citations

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

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

3302 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)

3066 Citations

Spatial reconstruction of single-cell gene expression data

Rahul Satija;Jeffrey A Farrell;David Gennert;Alexander F Schier.
Nature Biotechnology (2015)

2843 Citations

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

Itay Tirosh;Benjamin Izar;Benjamin Izar;Sanjay M. Prakadan;Marc H. Wadsworth.
Science (2016)

2746 Citations

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