D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge
Genetics and Molecular Biology
USA
2022

D-Index & Metrics

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
Genetics and Molecular Biology D-index 332 Citations 669,531 672 World Ranking 1 National Ranking 1
Best Scientists D-index 376 Citations 792,604 849 World Ranking 2 National Ranking 2

Research.com Recognitions

Awards & Achievements

2022 - Research.com Best Scientist Award

2022 - Research.com Genetics and Molecular Biology in United States Leader Award

2018 - William Allan Award, the American Society of Human Genetics

2013 - Breakthrough Prize in Life Sciences for the discovery of general principles for identifying human disease genes, and enabling their application to medicine through the creation and analysis of genetic, physical and sequence maps of the human genome.

2010 - Albany Medical Center Prize in Medicine and Biomedical Research

2002 - John von Neumann Lecturer

2002 - Canada Gairdner International Award

2001 - J. Allyn Taylor International Prize in Medicine, Robarts Research Institute

1999 - Fellow of the American Academy of Arts and Sciences

1998 - Member of the National Academy of Medicine (NAM)

1998 - Promega Biotechnology Research Award, American Society for Microbiology

1997 - Member of the National Academy of Sciences

1997 - Robert J. and Claire Pasarow Foundation Medical Research Award

1990 - Fellow of the American Association for the Advancement of Science (AAAS)

1987 - Fellow of the MacArthur Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

His main research concerns Genetics, Genome, Human genome, Gene and Genomics. His research brings together the fields of Computational biology and Genetics. His Genome study combines topics from a wide range of disciplines, such as Evolutionary biology, CRISPR, Single-nucleotide polymorphism, Human genetics and DNA sequencing.

His study looks at the relationship between Human genome and topics such as Point mutation, which overlap with Somatic cell. Eric S. Lander has researched Gene in several fields, including Disease and Adenocarcinoma. The Genomics study combines topics in areas such as Sequence analysis, Molecular evolution, Massive parallel sequencing and Systems biology.

His most cited work include:

  • Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles (22405 citations)
  • Initial sequencing and analysis of the human genome. (18816 citations)
  • Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. (11046 citations)

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

Eric S. Lander focuses on Genetics, Gene, Computational biology, Genome and Human genome. His Genetics study focuses mostly on Locus, Genomics, Chromatin, Gene mapping and Genetic linkage. His research on Genetic linkage frequently connects to adjacent areas such as Genetic marker.

His study in Gene expression, CRISPR, Phenotype, Regulation of gene expression and Mutation are all subfields of Gene. Eric S. Lander has included themes like RNA and Enhancer, Transcription factor in his Computational biology study. His Genome research is multidisciplinary, incorporating elements of Evolutionary biology, Human genetics and DNA sequencing.

He most often published in these fields:

  • Genetics (83.04%)
  • Gene (40.97%)
  • Computational biology (41.23%)

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

  • Computational biology (41.23%)
  • Gene (40.97%)
  • Genetics (83.04%)

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

His scientific interests lie mostly in Computational biology, Gene, Genetics, Genome and CRISPR. His Computational biology study integrates concerns from other disciplines, such as Structural variation, RNA, Enhancer, Transcription factor and Regulation of gene expression. Gene and Drug discovery are frequently intertwined in his study.

In his research, Function is intimately related to Type 2 diabetes, which falls under the overarching field of Genetics. His work on Genome deals in particular with Human genome and Whole genome sequencing. His CRISPR research incorporates themes from PREX1, Myeloid leukemia, Epigenetics, MAPK/ERK pathway and Gene regulatory network.

Between 2016 and 2021, his most popular works were:

  • An immunogenic personal neoantigen vaccine for patients with melanoma (1092 citations)
  • An immunogenic personal neoantigen vaccine for patients with melanoma (1092 citations)
  • Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations (900 citations)

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

  • Gene
  • DNA
  • Genetics

The scientist’s investigation covers issues in Genetics, Computational biology, Gene, Genome and Regulation of gene expression. His study ties his expertise on Cell biology together with the subject of Genetics. His studies deal with areas such as Cell, Reprogramming, Cell type, Transcription factor and Induced pluripotent stem cell as well as Computational biology.

His Gene study often links to related topics such as Cell aggregation. The study of Genome is intertwined with the study of Population genetics in a number of ways. His work deals with themes such as Chromatin, Nucleosome, Histone code, Enhancer and Loop, which intersect with Regulation of gene expression.

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

Initial sequencing and analysis of the human genome.

Eric S. Lander;Lauren M. Linton;Bruce Birren;Chad Nusbaum.
Nature (2001)

25862 Citations

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Aravind Subramanian;Pablo Tamayo;Vamsi K. Mootha;Sayan Mukherjee.
Proceedings of the National Academy of Sciences of the United States of America (2005)

22851 Citations

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.

T. R. Golub;T. R. Golub;D. K. Slonim;P. Tamayo;C. Huard.
Science (1999)

14159 Citations

MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Eric S. Lander;Eric S. Lander;Philip Green;Jeff Abrahamson;Aaron Barlow.
Genomics (1987)

7928 Citations

Initial sequencing and comparative analysis of the mouse genome.

Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Nature (2002)

7302 Citations

Integrative genomics viewer

James T Robinson;Helga Thorvaldsdóttir;Wendy Winckler;Mitchell Guttman.
Nature Biotechnology (2011)

7131 Citations

MAPPING MENDELIAN FACTORS UNDERLYING QUANTITATIVE TRAITS USING RFLP LINKAGE MAPS

E S Lander;D Botstein.
Genetics (1989)

6358 Citations

PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes

Vamsi K Mootha;Cecilia M Lindgren;Cecilia M Lindgren;Karl-Fredrik Eriksson;Aravind Subramanian.
Nature Genetics (2003)

6255 Citations

The Structure of Haplotype Blocks in the Human Genome

Stacey B. Gabriel;Stephen F. Schaffner;Huy Nguyen;Jamie M. Moore.
Science (2002)

6078 Citations

Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results

Eric Lander;Leonid Kruglyak.
Nature Genetics (1995)

5874 Citations

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