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
Medicine D-index 109 Citations 60,662 455 World Ranking 2521 National Ranking 1461

Overview

What is he best known for?

The fields of study he is best known for:

  • Cancer
  • Gene
  • Internal medicine

Michael F. Berger mostly deals with Internal medicine, Cancer research, Cancer, Genetics and Oncology. His research in Internal medicine intersects with topics in Diabetes mellitus and Endocrinology. His Cancer research includes themes of Genetic testing, Evidence-based medicine, Bioinformatics and Pathology.

Michael F. Berger interconnects Mutation, Human genetics, MEDLINE and Genomics in the investigation of issues within Bioinformatics. Many of his studies on Genetics apply to Computational biology as well. His Personalized medicine research is multidisciplinary, incorporating perspectives in Topoisomerase inhibitor and Drug discovery.

His most cited work include:

  • 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)
  • Comprehensivemolecular characterization of clear cell renal cell carcinoma (1909 citations)

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

Michael F. Berger mainly focuses on Internal medicine, Oncology, Cancer research, Cancer and Pathology. His Internal medicine research is multidisciplinary, relying on both Diabetes mellitus and Endocrinology. His Oncology research focuses on Germline and how it relates to Germline mutation.

His studies in Cancer research integrate themes in fields like Mutation, KRAS, Gene, Somatic cell and Kinase. His Gene research is included under the broader classification of Genetics. His Bioinformatics research extends to Cancer, which is thematically connected.

He most often published in these fields:

  • Internal medicine (44.64%)
  • Oncology (32.75%)
  • Cancer research (28.19%)

What were the highlights of his more recent work (between 2018-2021)?

  • Internal medicine (44.64%)
  • Oncology (32.75%)
  • Cancer research (28.19%)

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

His primary scientific interests are in Internal medicine, Oncology, Cancer research, Cancer and Germline. Internal medicine is closely attributed to Germline mutation in his study. The various areas that Michael F. Berger examines in his Oncology study include Clinical trial, Disease, Chemotherapy and Cohort.

The Cancer research study which covers Mutation that intersects with Lineage. His Cancer research includes elements of Computational biology, Sequencing data, DNA sequencing and Drug resistance. His Germline research focuses on subjects like Somatic cell, which are linked to Liquid biopsy.

Between 2018 and 2021, his most popular works were:

  • Tumor mutational load predicts survival after immunotherapy across multiple cancer types. (848 citations)
  • Analysis of the Prevalence of Microsatellite Instability in Prostate Cancer and Response to Immune Checkpoint Blockade (160 citations)
  • Tracking tumour evolution in glioma through liquid biopsies of cerebrospinal fluid (136 citations)

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

  • Cancer
  • Gene
  • Internal medicine

Michael F. Berger focuses on Internal medicine, Oncology, Cancer research, Cancer and Clinical trial. His work on Prospective cohort study, Disease and Chemotherapy as part of general Internal medicine research is frequently linked to In patient, thereby connecting diverse disciplines of science. His Oncology study incorporates themes from MEDLINE, Lynch syndrome, Cohort and Immunotherapy.

Michael F. Berger combines subjects such as Mutation, Gene, Receptor, Targeted therapy and HRAS with his study of Cancer research. His research on Cancer focuses in particular on Esophagogastric cancer. His Clinical trial study combines topics in areas such as Methotrexate, Refractory, Combination therapy and Lymphoma.

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.
Nature (2012)

5391 Citations

Comprehensivemolecular characterization of clear cell renal cell carcinoma

Chad J. Creighton;Margaret Morgan;Preethi H. Gunaratne;Preethi H. Gunaratne;David A. Wheeler.
Nature (2013)

2701 Citations

The Mutational Landscape of Head and Neck Squamous Cell Carcinoma

N. Stransky;A. M. Egloff;A. D. Tward;A. D. Kostic.
Science (2011)

2268 Citations

Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients

Ahmet Zehir;Ryma Benayed;Ronak H Shah;Aijazuddin Syed.
Nature Medicine (2017)

1571 Citations

Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing

Garrett M Frampton;Alex Fichtenholtz;Geoff A Otto;Kai Wang.
Nature Biotechnology (2013)

1507 Citations

Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology

Donavan T. Cheng;Talia N. Mitchell;Ahmet Zehir;Ronak H. Shah.
The Journal of Molecular Diagnostics (2015)

1388 Citations

The genomic complexity of primary human prostate cancer

Michael F. Berger;Michael F. Berger;Michael S. Lawrence;Francesca Demichelis;Yotam Drier.
Nature (2011)

1202 Citations

Punctuated Evolution of Prostate Cancer Genomes

Sylvan C Baca;Davide Prandi;Michael S Lawrence;Juan Miguel Mosquera.
Cell (2013)

1032 Citations

Dissecting therapeutic resistance to RAF inhibition in melanoma by tumor genomic profiling.

Nikhil Wagle;Caroline Emery;Michael F. Berger;Matthew J. Davis.
Journal of Clinical Oncology (2011)

1024 Citations

Tumor mutational load predicts survival after immunotherapy across multiple cancer types.

Robert M Samstein;Chung-Han Lee;Chung-Han Lee;Alexander N Shoushtari;Alexander N Shoushtari;Matthew D Hellmann;Matthew D Hellmann.
Nature Genetics (2019)

999 Citations

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