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 56 Citations 40,565 160 World Ranking 9680 National Ranking 4253

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

Genetics, Immunology, Copy-number variation, Immune checkpoint and Checkpoint Blockade Immunotherapy are his primary areas of study. His research in the fields of Exome sequencing and Genomics overlaps with other disciplines such as Genome-wide association study. His Immunology research incorporates themes from Melanoma and Pancreatic cancer.

His research in Copy-number variation intersects with topics in Genetic model and Internal medicine. His Immune checkpoint study incorporates themes from T cell and Cancer research. His T cell study combines topics from a wide range of disciplines, such as Lung cancer, Atezolizumab, CD8 and PD-L1 inhibitor.

His most cited work include:

  • A global reference for human genetic variation. (7825 citations)
  • Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer (4293 citations)
  • Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma (2586 citations)

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

His primary areas of study are Genetics, Computational biology, DNA, Immunotherapy and Cancer research. His work on Exome sequencing, Genome, Copy-number variation and Exome as part of his general Genetics study is frequently connected to Genome-wide association study, thereby bridging the divide between different branches of science. The Computational biology study combines topics in areas such as Whole genome sequencing, Allele frequency, Genomics, DNA sequencing and Polymerase chain reaction.

His DNA research is multidisciplinary, relying on both Molecular biology, Molecule and Palindrome. He works in the field of Immunotherapy, namely Immune checkpoint. His research investigates the connection between Immunology and topics such as Melanoma that intersect with problems in Ipilimumab.

He most often published in these fields:

  • Genetics (21.05%)
  • Computational biology (13.45%)
  • DNA (12.87%)

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

  • Immunotherapy (12.87%)
  • Cancer research (11.70%)
  • Cancer (10.53%)

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

His scientific interests lie mostly in Immunotherapy, Cancer research, Cancer, Oncology and Internal medicine. His Immunotherapy research is multidisciplinary, incorporating elements of T cell, Melanoma and Antigen. His research in T cell tackles topics such as Transcriptome which are related to areas like Signal transduction, Genomics and Mitochondrial DNA.

Antigen is the subject of his research, which falls under Immunology. His Cancer research study integrates concerns from other disciplines, such as Mutation, Gene, Adenoid cystic carcinoma, Carcinoma and T-cell receptor. His work deals with themes such as Interferon, Computational biology and Endogenous retrovirus, which intersect with Cancer.

Between 2016 and 2021, his most popular works were:

  • Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab. (589 citations)
  • Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer. (407 citations)
  • Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy (391 citations)

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

  • Gene
  • DNA
  • Genetics

Vladimir Makarov spends much of his time researching Immunotherapy, Immunology, Cancer, Cancer research and Antigen. His work in Immunotherapy covers topics such as Immunogenicity which are related to areas like Molecular mimicry, Pancreatic cancer and Immunoediting. Vladimir Makarov interconnects Exome sequencing and Melanoma in the investigation of issues within Immunology.

His studies deal with areas such as Mutation, Malignancy, Carcinoma and Head and neck cancer as well as Cancer research. His Antigen study incorporates themes from T cell, Immune system and Checkpoint Blockade Immunotherapy. His Checkpoint Blockade Immunotherapy research includes themes of Cancer cell, CD8 and Major histocompatibility complex.

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

A global reference for human genetic variation.

Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
(2015)

10791 Citations

Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer

Naiyer A. Rizvi;Naiyer A. Rizvi;Matthew D. Hellmann;Matthew D. Hellmann;Alexandra Snyder;Alexandra Snyder;Pia Kvistborg.
Science (2015)

6624 Citations

Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma

Alexandra Snyder;Vladimir Makarov;Taha Merghoub;Jianda Yuan.
The New England Journal of Medicine (2014)

3796 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

Patterns and rates of exonic de novo mutations in autism spectrum disorders

Benjamin M. Neale;Yan Kou;Li Liu;Avi Ma'Ayan.
Nature (2012)

1873 Citations

Inhibiting DNA Methylation Causes an Interferon Response in Cancer via dsRNA Including Endogenous Retroviruses

Katherine B. Chiappinelli;Pamela L. Strissel;Alexis Desrichard;Huili Li.
Cell (2015)

1284 Citations

Mapping copy number variation by population-scale genome sequencing

Ryan E. Mills;Klaudia Walter;Chip Stewart;Robert E. Handsaker.
(2011)

1166 Citations

Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab.

Nadeem Riaz;Jonathan J. Havel;Vladimir Makarov;Alexis Desrichard.
Cell (2017)

1137 Citations

A global reference for human genetic variation

Adam Auton;Gonçalo R. Abecasis;David M. Altshuler;Richard M. Durbin.
(2015)

963 Citations

Microduplications of 16p11.2 are Associated with Schizophrenia

Shane E. McCarthy;Vladimir Makarov;George Kirov;Anjene M. Addington.
Nature Genetics (2009)

764 Citations

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