World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
64
Citations
16258
World Ranking
2779
National Ranking
349

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

Genetics, Gene, Caenorhabditis elegans, Mutation and Phenotype are his primary areas of study. His is involved in several facets of Genetics study, as is seen by his studies on RNA interference, Human genome, Gene expression, Genetic variation and Chromatin. Ben Lehner combines subjects such as Organism and Computational biology with his study of Gene.

As part of the same scientific family, Ben Lehner usually focuses on Computational biology, concentrating on Chromosome conformation capture and intersecting with Genome. His Mutation research includes elements of Synonymous substitution, Three prime untranslated region, RNA splicing and Sequence. His Phenotype research includes themes of RNA, Cancer, Disease and Drosophila melanogaster.

His most cited work include:

  • Chromatin organization is a major influence on regional mutation rates in human cancer cells (459 citations)
  • Chromatin organization is a major influence on regional mutation rates in human cancer cells (459 citations)
  • 3D structures of individual mammalian genomes studied by single-cell Hi-C (453 citations)

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

Ben Lehner mostly deals with Genetics, Gene, Computational biology, Phenotype and Mutation. His Genetics research focuses on Chromatin, Genome, Caenorhabditis elegans, Gene expression and Human genome. His work in Gene addresses issues such as Cancer, which are connected to fields such as Germline mutation.

His Computational biology research is multidisciplinary, incorporating perspectives in Bioinformatics, Robustness, Transcriptome, Function and Chromosome. His work carried out in the field of Phenotype brings together such families of science as Model organism, Germline and Gene regulatory network. Ben Lehner focuses mostly in the field of Mutation, narrowing it down to matters related to DNA repair and, in some cases, Mutation rate.

He most often published in these fields:

  • Genetics (127.83%)
  • Gene (78.77%)
  • Computational biology (33.96%)

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

  • Genetics (127.83%)
  • Gene (78.77%)
  • Mutation (35.85%)

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

His scientific interests lie mostly in Genetics, Gene, Mutation, Epistasis and Cell biology. His Genetics study often links to related topics such as Amyloid beta. His Gene study typically links adjacent topics like Computational biology.

His Mutation study combines topics from a wide range of disciplines, such as RNA, Cancer research and Disease. His studies deal with areas such as Systems biology, Macromolecule and Genotype as well as Epistasis. His research integrates issues of Cell, Epigenesis and Caenorhabditis elegans in his study of Cell biology.

Between 2017 and 2021, his most popular works were:

  • Intergenerational and transgenerational epigenetic inheritance in animals (154 citations)
  • Intergenerational and transgenerational epigenetic inheritance in animals (154 citations)
  • The genetic landscape of a physical interaction (61 citations)

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

  • Gene
  • DNA
  • Genetics

His primary areas of investigation include Genetics, Mutation, Gene, Epistasis and Cell biology. His work on Genetics deals in particular with Germline mutation, Mutation rate, DNA repair and Cancer genome sequencing. His Mutation study integrates concerns from other disciplines, such as RNA, Cancer research, Mutant and Organelle.

The Gene study combines topics in areas such as Cell, Mitochondrion and Cell growth. The concepts of his Epistasis study are interwoven with issues in Mutagenesis and Genotype. His research on Cell biology also deals with topics like

  • Epigenetics which is related to area like Evolutionary biology, DNA methylation and Chromatin,
  • Epigenesis which is related to area like Genome instability.

Best Publications

  • 3D structures of individual mammalian genomes studied by single-cell Hi-C

    Tim J. Stevens;Tim J. Stevens;David Lando;Srinjan Basu;Liam P. Atkinson

  • Chromatin organization is a major influence on regional mutation rates in human cancer cells

    Benjamin Schuster-Böckler;Ben Lehner;Ben Lehner

  • Systematic mapping of genetic interactions in Caenorhabditis elegans identifies common modifiers of diverse signaling pathways.

    Ben Lehner;Ben Lehner;Ben Lehner;Catriona Crombie;Julia Tischler;Angelo Fortunato;Angelo Fortunato;Angelo Fortunato

  • Synonymous Mutations Frequently Act as Driver Mutations in Human Cancers

    Fran Supek;Fran Supek;Belén Miñana;Juan Valcárcel;Juan Valcárcel;Toni Gabaldón;Toni Gabaldón

  • Transgenerational transmission of environmental information in C. elegans.

    Adam Klosin;Adam Klosin;Eduard Casas;Cristina Hidalgo-Carcedo;Cristina Hidalgo-Carcedo;Tanya Vavouri

  • The rules and impact of nonsense-mediated mRNA decay in human cancers

    Rik G H Lindeboom;Fran Supek;Fran Supek;Ben Lehner;Ben Lehner;Ben Lehner

  • Intergenerational and transgenerational epigenetic inheritance in animals

    Marcos Francisco Perez;Ben Lehner;Ben Lehner

  • Intrinsic protein disorder and interaction promiscuity are widely associated with dosage sensitivity.

    Tanya Vavouri;Jennifer I. Semple;Rosa Garcia-Verdugo;Ben Lehner

  • Differential DNA mismatch repair underlies mutation rate variation across the human genome

    Fran Supek;Ben Lehner

  • Tissue specificity and the human protein interaction network.

    Alice Bossi;Ben Lehner

  • In search of antisense.

    Giovanni Lavorgna;Dvir Dahary;Ben Lehner;Rotem Sorek

  • A single gene network accurately predicts phenotypic effects of gene perturbation in Caenorhabditis elegans

    Insuk Lee;Ben Lehner;Ben Lehner;Catriona Crombie;Wendy Wong

  • Molecular mechanisms of epistasis within and between genes

    Ben Lehner

  • Antisense transcripts in the human genome

    Ben Lehner;Gary Williams;R.Duncan Campbell;Christopher M. Sanderson

  • A Concentration-Dependent Liquid Phase Separation Can Cause Toxicity upon Increased Protein Expression.

    Benedetta Bolognesi;Benedetta Bolognesi;Nieves Lorenzo Gotor;Riddhiman Dhar;Riddhiman Dhar;Davide Cirillo

  • A first-draft human protein-interaction map

    Ben Lehner;Andrew G Fraser

  • Selection to minimise noise in living systems and its implications for the evolution of gene expression.

    Ben Lehner;Ben Lehner

  • Genotype to phenotype: lessons from model organisms for human genetics

    Ben Lehner

  • Predicting mutation outcome from early stochastic variation in genetic interaction partners

    Alejandro Burga;M. Olivia Casanueva;Ben Lehner

  • The impact of nonsense-mediated mRNA decay on genetic disease, gene editing and cancer immunotherapy

    Rik G H Lindeboom;Michiel Vermeulen;Ben Lehner;Ben Lehner;Fran Supek

Frequent Co-Authors

Andrew G. Fraser
Andrew G. Fraser University of Toronto
Juan Valcárcel
Juan Valcárcel Institució Catalana de Recerca i Estudis Avançats
Thomas Graf
Thomas Graf Centre for Genomic Regulation
Toni Gabaldón
Toni Gabaldón Institució Catalana de Recerca i Estudis Avançats
Salvador Aznar Benitah
Salvador Aznar Benitah Institució Catalana de Recerca i Estudis Avançats
Gian Gaetano Tartaglia
Gian Gaetano Tartaglia Italian Institute of Technology
Holger Heyn
Holger Heyn Pompeu Fabra University
Andrew R. Cossins
Andrew R. Cossins University of Liverpool
Marta Gut
Marta Gut Centro Nacional de Análisis Genómico
Ivo Gut
Ivo Gut Centro Nacional de Análisis Genómico

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