World's Best Scientists 2026 revealed!

D-Index & Metrics

Genetics

D-Index
53
Citations
16162
World Ranking
3700
National Ranking
250

Julien Gagneur 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 Julien Gagneur 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: 126 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Julien Gagneur 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 Julien Gagneur 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: 53 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Julien Gagneur is affiliated with the Technical University of Munich in Germany. Their research falls predominantly within the broad field of Biochemistry, Genetics, and Molecular Biology, encompassing 232 publications. The scientist's work focuses on several subfields, including Molecular Biology, Genetics, Cancer Research, Infectious Diseases, and Spectroscopy.

The main research topics explored by Julien Gagneur include RNA Research and Splicing, RNA modifications and cancer, RNA and protein synthesis mechanisms, Genomics and Rare Diseases, Genomics and Phylogenetic Studies, Genomics and Chromatin Dynamics, and Cancer Genomics and Diagnostics.

Julien Gagneur has contributed to multiple recent papers, reflecting a range of interests in biology and genetics. These include:

  • Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment, 2020, Cell
  • Swarm Learning for decentralized and confidential clinical machine learning, 2021, Nature
  • Base-resolution models of transcription-factor binding reveal soft motif syntax, 2021, Nature Genetics
  • Early IFN-α signatures and persistent dysfunction are distinguishing features of NK cells in severe COVID-19, 2021, Immunity
  • Clinical implementation of RNA sequencing for Mendelian disease diagnostics, 2022, Genome Medicine

The scientist frequently collaborates with several co-authors including Vicente A. Yépez, Holger Prokisch, Christian Mertes, Alexander Karollus, and Mirjana Gušić. The volume of collaborations varies, with 58 publications with Vicente A. Yépez being the most frequent.

Julien Gagneur's publications appear across various venues, predominantly in bioRxiv (Cold Spring Harbor Laboratory) with 33 publications and Zenodo (CERN European Organization for Nuclear Research) with 31 publications. Other notable venues include Genome Biology, Nature Genetics, and Nature Communications.

In addition to journal articles, Julien Gagneur has contributed to book publications, including a title named "DataViz Script" released in 2020 through the European Organization for Nuclear Research.

Best Publications

  • Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment.

    Jonas Schulte-Schrepping;Nico Reusch;Daniela Paclik;Kevin Baßler

  • A physical and functional map of the human TNF-alpha/NF-kappa B signal transduction pathway.

    Tewis Bouwmeester;Angela Bauch;Heinz Ruffner;Pierre-Olivier Angrand

  • Bidirectional promoters generate pervasive transcription in yeast

    Zhenyu Xu;Wu Wei;Julien Gagneur;Fabiana Perocchi

  • Deep learning: new computational modelling techniques for genomics

    Gökcen Eraslan;Žiga Avsec;Julien Gagneur;Fabian J. Theis

  • A deep proteome and transcriptome abundance atlas of 29 healthy human tissues

    Dongxue Wang;Basak Eraslan;Basak Eraslan;Thomas Wieland;Björn M. Hallström

  • The Genomic and Transcriptomic Landscape of a HeLa Cell Line

    Jonathan J M Landry;Paul Theodor Pyl;Tobias Rausch;Thomas Zichner

  • Genetic diagnosis of Mendelian disorders via RNA sequencing

    Laura S. Kremer;Daniel M. Bader;Daniel M. Bader;Christian Mertes;Robert Kopajtich

  • TT-seq maps the human transient transcriptome

    Björn Schwalb;Margaux Michel;Benedikt Zacher;Katja Frühauf

  • Base-resolution models of transcription-factor binding reveal soft motif syntax.

    Žiga Avsec;Žiga Avsec;Melanie Weilert;Avanti Shrikumar;Sabrina Krueger

  • Combinatorial binding predicts spatio-temporal cis -regulatory activity

    Robert P. Zinzen;Charles Girardot;Julien Gagneur;Martina Braun

  • Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19.

    Joana P. Bernardes;Neha Mishra;Florian Tran;Thomas Bahmer

  • Computation of elementary modes : a unifying framework and the new binary approach

    Julien Gagneur;Steffen Klamt

  • Early IFN-α signatures and persistent dysfunction are distinguishing features of NK cells in severe COVID-19.

    Benjamin Krämer;Rainer Knoll;Lorenzo Bonaguro;Michael ToVinh

  • Transcriptome Surveillance by Selective Termination of Noncoding RNA Synthesis

    Daniel Schulz;Bjoern Schwalb;Anja Kiesel;Carlo Baejen

  • Dynamic Regulation by Polycomb Group Protein Complexes Controls Pattern Formation and the Cell Cycle in Drosophila

    Katarzyna Oktaba;Luis Gutiérrez;Julien Gagneur;Charles Girardot

  • Antisense expression increases gene expression variability and locus interdependency

    Zhenyu Xu;Wu Wei;Julien Gagneur;Sandra Clauder‐Münster

  • MMSplice: modular modeling improves the predictions of genetic variant effects on splicing

    Jun Cheng;Jun Cheng;Thi Yen Duong Nguyen;Kamil J. Cygan;Muhammed Hasan Çelik

  • GOing Bayesian: model-based gene set analysis of genome-scale data

    Sebastian Bauer;Julien Gagneur;Peter N. Robinson

  • Modular decomposition of protein-protein interaction networks

    Julien Gagneur;Roland Krause;Tewis Bouwmeester;Georg Casari

  • OUTRIDER: A Statistical Method for Detecting Aberrantly Expressed Genes in RNA Sequencing Data.

    Felix Brechtmann;Christian Mertes;Agnė Matusevičiūtė;Vicente A. Yépez

Frequent Co-Authors

Lars M. Steinmetz
Lars M. Steinmetz Stanford University
Holger Prokisch
Holger Prokisch Technical University of Munich
Patrick Cramer
Patrick Cramer Max Planck Society
Anshul Kundaje
Anshul Kundaje Stanford University
Bernhard Kuster
Bernhard Kuster Technical University of Munich
Tobias B. Haack
Tobias B. Haack University of Tübingen
Thomas Meitinger
Thomas Meitinger Technical University of Munich
Robert W. Taylor
Robert W. Taylor Newcastle University
Oliver Stegle
Oliver Stegle German Cancer Research Center
Julia Zeitlinger
Julia Zeitlinger Stowers Institute for Medical Research

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