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
Molecular Biology D-index 88 Citations 33,846 330 World Ranking 461 National Ranking 265

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Gene expression

Kevin G. Becker mostly deals with Gene expression, Genetics, Gene, Regulation of gene expression and Internal medicine. His Gene expression study integrates concerns from other disciplines, such as Complementary DNA, Molecular biology and Pathology. The study incorporates disciplines such as Neural tissues and Binding site in addition to Gene.

His study in Regulation of gene expression is interdisciplinary in nature, drawing from both Senescence, Histone H3 and Gene expression profiling. Kevin G. Becker interconnects Endocrinology, Immunology and SRT1720 in the investigation of issues within Internal medicine. His research in Endocrinology intersects with topics in Activator, Resveratrol and Antioxidant.

His most cited work include:

  • Resveratrol improves health and survival of mice on a high-calorie diet (3469 citations)
  • Resveratrol delays age-related deterioration and mimics transcriptional aspects of dietary restriction without extending life span. (938 citations)
  • The Genetic Association Database (782 citations)

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

The scientist’s investigation covers issues in Gene expression, Molecular biology, Cell biology, Gene and Regulation of gene expression. Kevin G. Becker combines subjects such as Endocrinology and Internal medicine with his study of Gene expression. In his study, Microarray is inextricably linked to Complementary DNA, which falls within the broad field of Molecular biology.

His Cell biology research incorporates themes from RNA, Transcription factor, microRNA and Cell growth. His Gene study contributes to a more complete understanding of Genetics. His Regulation of gene expression research includes elements of Transcriptome and Neuroscience.

He most often published in these fields:

  • Gene expression (29.83%)
  • Molecular biology (26.70%)
  • Cell biology (22.73%)

What were the highlights of his more recent work (between 2012-2020)?

  • Cell biology (22.73%)
  • Internal medicine (15.34%)
  • Endocrinology (14.77%)

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

His primary scientific interests are in Cell biology, Internal medicine, Endocrinology, Gene and Gene expression. His work in Cell biology tackles topics such as microRNA which are related to areas like RNA, Downregulation and upregulation, Senescence and Three prime untranslated region. Kevin G. Becker has included themes like Diabetes mellitus and Immune system in his Internal medicine study.

His work is dedicated to discovering how Endocrinology, Inflammation are connected with PI3K/AKT/mTOR pathway and Longevity and other disciplines. His studies deal with areas such as Molecular biology and DNA as well as Gene. Kevin G. Becker has researched Gene expression in several fields, including Transcription factor, Immunology and Bioinformatics.

Between 2012 and 2020, his most popular works were:

  • Metformin improves healthspan and lifespan in mice (683 citations)
  • The SIRT1 Activator SRT1720 Extends Lifespan and Improves Health of Mice Fed a Standard Diet (243 citations)
  • Effects of Sex, Strain, and Energy Intake on Hallmarks of Aging in Mice (186 citations)

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

  • Gene
  • DNA
  • Cancer

His main research concerns Internal medicine, Endocrinology, Cancer research, Gene expression and Cell biology. His work in Internal medicine covers topics such as AMP-activated protein kinase which are related to areas like Lipoprotein, Cholesterol, Type 2 diabetes and Antioxidant. Kevin G. Becker has researched Endocrinology in several fields, including Activator and Motor coordination.

Kevin G. Becker interconnects Neuroscience, Immunology, Bioinformatics and Synaptophysin in the investigation of issues within Gene expression. His Cell biology study integrates concerns from other disciplines, such as RNA and Immune system. In his research, Molecular biology is intimately related to Microarray analysis techniques, which falls under the overarching field of Cell growth.

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

Resveratrol improves health and survival of mice on a high-calorie diet

Joseph A. Baur;Kevin J. Pearson;Nathaniel O Price;Hamish A. Jamieson.
Nature (2006)

5044 Citations

Resveratrol delays age-related deterioration and mimics transcriptional aspects of dietary restriction without extending life span.

Kevin J. Pearson;Joseph A. Baur;Kaitlyn N. Lewis;Leonid Peshkin.
Cell Metabolism (2008)

1276 Citations

Metformin improves healthspan and lifespan in mice

Alejandro Martin-Montalvo;Evi M. Mercken;Sarah J. Mitchell;Sarah J. Mitchell;Sarah J. Mitchell;Hector H. Palacios.
Nature Communications (2013)

1137 Citations

The Genetic Association Database

Kevin G Becker;Kathleen C Barnes;Tiffani J Bright;S Alex Wang.
Nature Genetics (2004)

1024 Citations

LincRNA-p21 Suppresses Target mRNA Translation

Je Hyun Yoon;Kotb Abdelmohsen;Subramanya Srikantan;Xiaoling Yang.
Molecular Cell (2012)

946 Citations

Analysis of Microarray Data Using Z Score Transformation

Chris Cheadle;Marquis P. Vawter;Marquis P. Vawter;William J. Freed;Kevin G. Becker.
The Journal of Molecular Diagnostics (2003)

944 Citations

Clustering of non-major histocompatibility complex susceptibility candidate loci in human autoimmune diseases

Kevin G. Becker;Richard M. Simon;Joan E. Bailey-Wilson;Boris Freidlin.
Proceedings of the National Academy of Sciences of the United States of America (1998)

731 Citations

miR-24 Inhibits Cell Proliferation by Targeting E2F2, MYC, and Other Cell-Cycle Genes via Binding to “Seedless” 3′UTR MicroRNA Recognition Elements

Ashish Lal;Francisco Navarro;Christopher A. Maher;Laura E. Maliszewski.
Molecular Cell (2009)

656 Citations

RNA Cargoes Associating with FMRP Reveal Deficits in Cellular Functioning in Fmr1 Null Mice

Kevin Y. Miyashiro;Andrea Beckel-Mitchener;T.Patrick Purk;Kevin G. Becker.
Neuron (2003)

567 Citations

Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray

Tetsuya S. Tanaka;Saied A. Jaradat;Meng K. Lim;George J. Kargul.
Proceedings of the National Academy of Sciences of the United States of America (2000)

528 Citations

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