World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
58
Citations
16003
World Ranking
3306
National Ranking
226

Martin J. Lercher 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 Martin J. Lercher 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: 135 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Martin J. Lercher 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 Martin J. Lercher 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: 58 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

Martin J. Lercher is affiliated with Heinrich Heine University Düsseldorf in Germany and has produced extensive research primarily in biochemistry, genetics, and molecular biology. Their work spans multiple interconnected fields and subfields, focusing on molecular biology, computational theory and mathematics, genetics, plant science, and ecology.

The main research topics of Martin J. Lercher include microbial metabolic engineering and bioproduction, protein structure and dynamics, computational drug discovery methods, bacterial genetics and biotechnology, genomics and phylogenetic studies, RNA and protein synthesis mechanisms, and gene regulatory network analysis.

Recent publications by Lercher illustrate a focus on integrating computational approaches with biological questions. Key papers include:

  • Distinct identities of leaf phloem cells revealed by single cell transcriptomics, 2020, The Plant Cell
  • Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning, 2023, Nature Communications
  • A general model to predict small molecule substrates of enzymes based on machine and deep learning, 2023, Nature Communications
  • Deep learning allows genome-scale prediction of Michaelis constants from structural features, 2021, PLoS Biology
  • The protein translation machinery is expressed for maximal efficiency in Escherichia coli, 2020, Nature Communications

Lercher has frequently published in several scientific venues, with the most common being bioRxiv (Cold Spring Harbor Laboratory), Genome Biology, Zenodo (CERN European Organization for Nuclear Research), Science, and Nature Communications.

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Genome Biology
  • Zenodo (CERN European Organization for Nuclear Research)
  • Science
  • Nature Communications

The researcher collaborates frequently with several co-authors, including Alexander Kroll, Xiao-Pan Hu, Itai Yanai, Tin Yau Pang, and Hugo Dourado, with varying numbers of joint publications emphasizing a network of interdisciplinary cooperation.

  • Alexander Kroll
  • Xiao-Pan Hu
  • Itai Yanai
  • Tin Yau Pang
  • Hugo Dourado

Best Publications

  • PopGenome: An Efficient Swiss Army Knife for Population Genomic Analyses in R

    Bastian Pfeifer;Ulrich Wittelsbürger;Sebastian E. Ramos-Onsins;Martin J. Lercher

  • The evolutionary dynamics of eukaryotic gene order

    Laurence D. Hurst;Csaba Pál;Csaba Pál;Martin J. Lercher

  • Evolview v3: a webserver for visualization, annotation, and management of phylogenetic trees.

    Balakrishnan Subramanian;Shenghan Gao;Martin J Lercher;Songnian Hu

  • An integrated view of protein evolution

    Csaba Pál;Balázs Papp;Martin J. Lercher

  • Clustering of housekeeping genes provides a unified model of gene order in the human genome.

    Martin J. Lercher;Araxi O. Urrutia;Laurence D. Hurst

  • Adaptive evolution of bacterial metabolic networks by horizontal gene transfer.

    Csaba Pál;Balázs Papp;Balázs Papp;Martin J Lercher

  • Evolview v2: an online visualization and management tool for customized and annotated phylogenetic trees

    Zilong He;Zilong He;Huangkai Zhang;Huangkai Zhang;Shenghan Gao;Martin J. Lercher

  • Gene transfer from bacteria and archaea facilitated evolution of an extremophilic eukaryote

    Gerald Schönknecht;Gerald Schönknecht;Wei Hua Chen;Wei Hua Chen;Chad M. Ternes;Guillaume G. Barbier

  • EvolView, an online tool for visualizing, annotating and managing phylogenetic trees

    Huangkai Zhang;Shenghan Gao;Martin J. Lercher;Songnian Hu

  • Positron-emission tomography of vector-mediated gene expression in gene therapy for gliomas.

    A Jacobs;J Voges;R Reszka;M Lercher

  • The ECAT HRRT: performance and first clinical application of the new high resolution research tomograph

    K. Wienhard;M. Schmand;M.E. Casey;K. Baker

  • Human SNP variability and mutation rate are higher in regions of high recombination

    Martin J Lercher;Laurence D Hurst

  • Prediction of effective genome size in metagenomic samples

    Jeroen Raes;Jan O Korbel;Martin J Lercher;Christian von Mering

  • Distinct identities of leaf phloem cells revealed by single cell transcriptomics.

    Ji Yun Kim;Efthymia Symeonidi;Tin Yau Pang;Tom Denyer

  • Chance and necessity in the evolution of minimal metabolic networks

    Csaba Pál;Balázs Papp;Martin J. Lercher;Péter Csermely

  • An mRNA Blueprint for C4 Photosynthesis Derived from Comparative Transcriptomics of Closely Related C3 and C4 Species

    Andrea Bräutigam;Kaisa Kajala;Julia Wullenweber;Manuel Sommer

  • Phylogenomic analysis reveals bees and wasps (Hymenoptera) at the base of the radiation of Holometabolous insects

    Joël Savard;Diethard Tautz;Stephen Richards;George M. Weinstock

  • Comparative functional analysis of the Caenorhabditis elegans and Drosophila melanogaster proteomes.

    Sabine P. Schrimpf;Manuel Weiss;Lukas Reiter;Christian H. Ahrens;Christian H. Ahrens

  • An integrated approach to characterize genetic interaction networks in yeast metabolism

    Balázs Szappanos;Károly Kovács;Béla Szamecz;Frantisek Honti;Frantisek Honti

  • Coexpression of neighboring genes in Caenorhabditis elegans is mostly due to operons and duplicate genes.

    Martin J. Lercher;Thomas Blumenthal;Laurence D. Hurst

Frequent Co-Authors

Laurence D. Hurst
Laurence D. Hurst University of Bath
Itai Yanai
Itai Yanai New York University
Csaba Pál
Csaba Pál Institute of Plant Biology
Andreas P. M. Weber
Andreas P. M. Weber Heinrich Heine University Düsseldorf
Balázs Papp
Balázs Papp Biological Research Centre
Songnian Hu
Songnian Hu Chinese Academy of Sciences
Veronica G. Maurino
Veronica G. Maurino University of Bonn
Christian von Mering
Christian von Mering University of Zurich
Wolf B. Frommer
Wolf B. Frommer Heinrich Heine University Düsseldorf
Peer Bork
Peer Bork European Molecular Biology Laboratory

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