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 43 Citations 19,878 87 World Ranking 14344 National Ranking 6044

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 Cancer research, Cancer cell, Genetics, Gene and Cancer. His work carried out in the field of Cancer research brings together such families of science as Oncogene, KRAS and PI3K/AKT/mTOR pathway, Signal transduction, MAPK/ERK pathway. The concepts of his Cancer cell study are interwoven with issues in Epithelial–mesenchymal transition and Cell culture.

The Gene dosage and Systems biology research Jesse S. Boehm does as part of his general Genetics study is frequently linked to other disciplines of science, such as Genomic library, ORFeome and ORFS, therefore creating a link between diverse domains of science. In the field of Gene, his study on Genome and Gene expression profiling overlaps with subjects such as Genetic variants and Inference. He works in the field of Cancer, focusing on Carcinogenesis in particular.

His most cited work include:

  • The landscape of somatic copy-number alteration across human cancers (2544 citations)
  • Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1 (1401 citations)
  • COT drives resistance to RAF inhibition through MAP kinase pathway reactivation (1194 citations)

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

Jesse S. Boehm mainly focuses on Cancer, Cancer research, Gene, Computational biology and Genetics. His studies in Cancer integrate themes in fields like Mutation, Genome and Bioinformatics. Jesse S. Boehm combines Cancer research and RNA interference in his studies.

His work in the fields of Gene, such as Gene expression profiling, KRAS, Allele and Phenotype, intersects with other areas such as Dependency. His Computational biology study which covers Genomics that intersects with Precision medicine. His research in the fields of DNA sequencing, Human genome and Cancer genome sequencing overlaps with other disciplines such as Population.

He most often published in these fields:

  • Cancer (50.92%)
  • Cancer research (31.90%)
  • Gene (26.99%)

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

  • Cancer (50.92%)
  • Cancer research (31.90%)
  • Computational biology (26.38%)

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

His primary areas of study are Cancer, Cancer research, Computational biology, RNA interference and Gene. Jesse S. Boehm regularly ties together related areas like Ex vivo in his Cancer studies. His Cancer research research is multidisciplinary, incorporating perspectives in Carcinogenesis, Cell culture and Suppressor.

The Computational biology study combines topics in areas such as Gene expression, CRISPR, Genomics, Cancer cell lines and Cancer biology. His biological study focuses on Genome. His Genome study combines topics in areas such as Exome sequencing, Regulation of gene expression and Gene regulatory network.

Between 2017 and 2021, his most popular works were:

  • Next-generation characterization of the Cancer Cell Line Encyclopedia (576 citations)
  • Organoid Modeling of the Tumor Immune Microenvironment. (302 citations)
  • Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration (126 citations)

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

  • Gene
  • Cancer
  • DNA

The scientist’s investigation covers issues in Cancer research, Computational biology, RNA interference, Cancer and Cell culture. As a member of one scientific family, he mostly works in the field of Cancer research, focusing on Cell cycle and, on occasion, Sarcoma, PI3K/AKT/mTOR pathway and Kinase. He has researched Computational biology in several fields, including Cancer type, In vitro model, CRISPR and Functional genomics.

His Cancer research incorporates themes from Exome sequencing, Precision medicine, Genome editing and Gene. His work in the fields of Gene, such as Gene regulatory network, Regulation of gene expression, Genome and Mutation, overlaps with other areas such as Statistical hypothesis testing. His study looks at the intersection of Cell culture and topics like Disulfiram with Growth inhibitory.

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 landscape of somatic copy-number alteration across human cancers

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

2993 Citations

Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1

David A. Barbie;Pablo Tamayo;Jesse S. Boehm;So Young Kim.
Nature (2009)

1649 Citations

COT drives resistance to RAF inhibition through MAP kinase pathway reactivation

Cory M Johannessen;Jesse S. Boehm;So Young Kim;Sapana R. Thomas;Sapana R. Thomas.
Nature (2010)

1512 Citations

A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles.

Aravind Subramanian;Rajiv Narayan;Steven M. Corsello;Steven M. Corsello;David D. Peck.
Cell (2017)

980 Citations

Defining a Cancer Dependency Map

Aviad Tsherniak;Francisca Vazquez;Francisca Vazquez;Phil G. Montgomery;Barbara A. Weir;Barbara A. Weir.
Cell (2017)

760 Citations

CDK8 is a colorectal cancer oncogene that regulates β-catenin activity

Ron Firestein;Adam Bass;So Young Kim;Ian Frederick Dunn.
Nature (2008)

655 Citations

Integrative genomic approaches identify IKBKE as a breast cancer oncogene.

Jesse S. Boehm;Jean J. Zhao;Jun Yao;So Young Kim.
Cell (2007)

623 Citations

Next-generation characterization of the Cancer Cell Line Encyclopedia

Mahmoud Ghandi;Franklin W. Huang;Franklin W. Huang;Franklin W. Huang;Judit Jané-Valbuena;Judit Jané-Valbuena;Gregory V. Kryukov.
Nature (2019)

622 Citations

Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells.

Robin M Meyers;Jordan G Bryan;James M McFarland;Barbara A Weir.
Nature Genetics (2017)

610 Citations

Synthetic lethal interaction between oncogenic KRAS dependency and STK33 suppression in human cancer cells.

Claudia Scholl;Stefan Fröhling;Ian F. Dunn;Anna C. Schinzel.
Cell (2009)

580 Citations

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