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

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
Best Scientists D-index 171 Citations 172,349 454 World Ranking 579 National Ranking 390
Medicine D-index 131 Citations 118,191 442 World Ranking 1330 National Ranking 790
Biology and Biochemistry D-index 131 Citations 117,391 443 World Ranking 266 National Ranking 192

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Scientist Award

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

2013 - Paul Marks Prize for Cancer Research, Memorial Sloan Kettering Cancer Center

Member of the Association of American Physicians

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Cancer
  • Mutation

The scientist’s investigation covers issues in Genetics, Cancer, Cancer research, Gene and Mutation. Exome, Genome, Human genome, Genomics and Germline mutation are the subjects of his Genetics studies. The study incorporates disciplines such as Small hairpin RNA, Computational biology, Human genetics and Bioinformatics in addition to Cancer.

His study in Cancer research is interdisciplinary in nature, drawing from both Cell, Pathology, PI3K/AKT/mTOR pathway, MAPK/ERK pathway and Adenocarcinoma. Oncogene is the focus of his Gene research. His Mutation study deals with Melanoma intersecting with Molecular biology, Antigen, Checkpoint Blockade Immunotherapy, Immune checkpoint and Microphthalmia-associated transcription factor.

His most cited work include:

  • Comprehensive genomic characterization defines human glioblastoma genes and core pathways (5484 citations)
  • The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity (4467 citations)
  • The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity (4467 citations)

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

Levi A. Garraway mostly deals with Cancer research, Cancer, Genetics, Gene and Melanoma. His Cancer research research integrates issues from Mutation, Colorectal cancer, PI3K/AKT/mTOR pathway and Kinase, MAPK/ERK pathway. His biological study deals with issues like Molecular biology, which deal with fields such as Mutant.

He has included themes like Exome sequencing, Computational biology, Oncology and Bioinformatics in his Cancer study. His Genetics and Genome, Carcinogenesis, Germline mutation, Human genome and Genomics investigations all form part of his Genetics research activities. Levi A. Garraway combines subjects such as Microphthalmia-associated transcription factor, Immunology, Neuroblastoma RAS viral oncogene homolog and Drug resistance with his study of Melanoma.

He most often published in these fields:

  • Cancer research (65.38%)
  • Cancer (46.82%)
  • Genetics (36.96%)

What were the highlights of his more recent work (between 2016-2021)?

  • Cancer research (65.38%)
  • Cancer (46.82%)
  • Internal medicine (20.90%)

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

Cancer research, Cancer, Internal medicine, Exome sequencing and Computational biology are his primary areas of study. Levi A. Garraway studies Melanoma, a branch of Cancer research. His studies in Cancer integrate themes in fields like Precision medicine, DNA methylation, MEDLINE, Bioinformatics and Gene.

Exome sequencing is the subject of his research, which falls under Genetics. The Computational biology study combines topics in areas such as Gene knockdown, Genome, Massive parallel sequencing, Genomics and Human genetics. His Mutation research focuses on subjects like Molecular biology, which are linked to Mutant.

Between 2016 and 2021, his most popular works were:

  • Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden (1097 citations)
  • Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden (1097 citations)
  • Defining a Cancer Dependency Map (689 citations)

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

  • Gene
  • Cancer
  • DNA

Levi A. Garraway mainly investigates Cancer research, Cancer, Exome sequencing, Computational biology and Immune checkpoint. His studies deal with areas such as Mutation, Ubiquitin ligase, Immune system and Prostate cancer as well as Cancer research. Cancer is a subfield of Genetics that he studies.

When carried out as part of a general Genetics research project, his work on Human cancer and Ubiquitin is frequently linked to work in Dependency, therefore connecting diverse disciplines of study. Levi A. Garraway has researched Exome sequencing in several fields, including DNA Mutational Analysis and Prostate. His work deals with themes such as Microsatellite instability and Gene, Gene knockdown, which intersect with Computational biology.

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

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

Jordi Barretina;Giordano Caponigro;Nicolas Stransky;Kavitha Venkatesan.
(2012)

6477 Citations

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Roger McLendon;Allan Friedman;Darrell Bigner;Erwin G. Van Meir.
Nature (2008)

6113 Citations

Mutational heterogeneity in cancer and the search for new cancer-associated genes

Michael S. Lawrence;Petar Stojanov;Petar Stojanov;Paz Polak;Paz Polak;Paz Polak;Gregory V. Kryukov;Gregory V. Kryukov;Gregory V. Kryukov.
Nature (2013)

4974 Citations

The landscape of somatic copy-number alteration across human cancers

Rameen Beroukhim;Craig H. Mermel;Craig H. Mermel;Dale Porter;Guo Wei.
(2010)

3700 Citations

Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

Eric A. Collisson;Joshua D. Campbell;Angela N. Brooks;Angela N. Brooks;Alice H. Berger.
Nature (2014)

3641 Citations

Integrative clinical genomics of advanced prostate cancer

Dan Robinson;Eliezer M. Van Allen;Eliezer M. Van Allen;Yi Mi Wu;Nikolaus Schultz.
Cell (2015)

2842 Citations

Discovery and saturation analysis of cancer genes across 21 tumour types

Michael S. Lawrence;Petar Stojanov;Craig H. Mermel;James T. Robinson.
Nature (2014)

2750 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

A landscape of driver mutations in melanoma

Eran Hodis;Ian R. Watson;Ian R. Watson;Gregory V. Kryukov;Gregory V. Kryukov;Gregory V. Kryukov;Stefan T. Arold.
Cell (2012)

2566 Citations

Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade

Nicholas McGranahan;Nicholas McGranahan;Andrew J. S. Furness;Rachel Rosenthal;Sofie Ramskov.
Science (2016)

2324 Citations

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