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Genetics

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

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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