World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

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

Ben Lehner publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Ben Lehner sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 131 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Ben Lehner D-index placement in Genetics in 2026

The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Ben Lehner sits on this spectrum.

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 64 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

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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