World's Best Scientists 2026 revealed!
Julio Saez-Rodriguez

Julio Saez-Rodriguez

Award Badge
Engineering and Technology
Germany
2026

D-Index & Metrics

Biology and Biochemistry

D-Index
90
Citations
37456
World Ranking
2398
National Ranking
170

Engineering and Technology

D-Index
83
Citations
32737
World Ranking
431
National Ranking
10

Julio Saez-Rodriguez publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Julio Saez-Rodriguez sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 290 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Julio Saez-Rodriguez D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Julio Saez-Rodriguez sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 83 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Germany Leader Award
  • 2025 - Research.com Engineering and Technology in Germany Leader Award

Overview

Julio Saez-Rodriguez is affiliated with Heidelberg University in Germany and focuses their research on several areas within biochemistry, genetics, and molecular biology, with a strong presence in medicine. Their work encompasses a range of topics, including bioinformatics and genomic networks, single-cell and spatial transcriptomics, gene regulatory network analysis, and computational drug discovery methods.

The scientist has contributed extensively to molecular biology, immunology, and cancer research, with significant publications also related to computational theory and mathematics and biophysics. Their research topics reflect interests in gene expression and cancer classification, cell image analysis techniques, and the interplay between cancer, hypoxia, and metabolism.

Recent papers authored or co-authored by Julio Saez-Rodriguez illustrate their involvement in cutting-edge research across various domains:

  • The Global Phosphorylation Landscape of SARS-CoV-2 Infection, 2020, Cell
  • Best practices for single-cell analysis across modalities, 2023, Nature Reviews Genetics
  • decoupleR: ensemble of computational methods to infer biological activities from omics data, 2022, Bioinformatics Advances
  • Decoding myofibroblast origins in human kidney fibrosis, 2020, Nature
  • Spatial multi-omic map of human myocardial infarction, 2022, Nature

Frequent co-authors highlight ongoing collaborations within their research network. These include Aurélien Dugourd, Ricardo O. Ramirez Flores, Jovan Tanevski, Rafael Kramann, and Christoph Kuppe, with whom they have worked on multiple publications.

  • Aurélien Dugourd
  • Ricardo O. Ramirez Flores
  • Jovan Tanevski
  • Rafael Kramann
  • Christoph Kuppe

Several key publication venues have featured their work, demonstrating engagement with both early-stage research and high-impact journals.

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Communications
  • Molecular Systems Biology
  • arXiv (Cornell University)

Julio Saez-Rodriguez's publications and collaborations establish them as an active researcher across experimental and computational biology fields, with a focus on integrating omics data and computational methods to better understand biological systems and disease mechanisms.

Best Publications

  • Systematic identification of genomic markers of drug sensitivity in cancer cells

    Mathew J. Garnett;Elena J. Edelman;Sonja J. Heidorn;Christopher Greenman;Christopher Greenman

  • Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients

    Marc van de Wetering;Hayley E. Francies;Joshua M. Francis;Joshua M. Francis;Gergana Bounova

  • A Landscape of Pharmacogenomic Interactions in Cancer

    Francesco Iorio;Francesco Iorio;Theo A. Knijnenburg;Theo A. Knijnenburg;Daniel J. Vis;Graham R. Bignell

  • Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens

    Fiona M. Behan;Francesco Iorio;Francesco Iorio;Gabriele Picco;Emanuel Gonçalves

  • Perturbation-response genes reveal signaling footprints in cancer gene expression.

    Michael Schubert;Bertram Klinger;Martina Klünemann;Martina Klünemann;Anja Sieber;Anja Sieber

  • The Global Phosphorylation Landscape of SARS-CoV-2 Infection.

    Mehdi Bouhaddou;Danish Memon;Bjoern Meyer;Kris M. White

  • Benchmark and integration of resources for the estimation of human transcription factor activities.

    Luz Garcia-Alonso;Christian H. Holland;Mahmoud M. Ibrahim;Denes Turei;Denes Turei

  • A CRISPR Dropout Screen Identifies Genetic Vulnerabilities and Therapeutic Targets in Acute Myeloid Leukemia

    Konstantinos Tzelepis;Hiroko Koike-Yusa;Etienne De Braekeleer;Yilong Li

  • Decoding myofibroblast origins in human kidney fibrosis

    Christoph Kuppe;Mahmoud M. Ibrahim;Mahmoud M. Ibrahim;Jennifer Kranz;Jennifer Kranz;Xiaoting Zhang

  • OmniPath: guidelines and gateway for literature-curated signaling pathway resources

    Dénes Türei;Tamás Korcsmáros;Julio Saez-Rodriguez;Julio Saez-Rodriguez

  • Structural and functional analysis of cellular networks with CellNetAnalyzer

    Steffen Klamt;Julio Saez-Rodriguez;Ernst Dieter Gilles

  • Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

    Michael P. Menden;Francesco Iorio;Francesco Iorio;Mathew Garnett;Ultan McDermott

  • Fumarate is an epigenetic modifier that elicits epithelial-to-mesenchymal transition

    Marco Sciacovelli;Emanuel Gonçalves;Timothy Isaac Johnson;Vincent Roberto Zecchini

  • Pharmacogenomic agreement between two cancer cell line data sets

    Nicolas Stransky;Mahmoud Ghandi

  • Towards a Rigorous Assessment of Systems Biology Models: The DREAM3 Challenges

    Robert J. Prill;Daniel Marbach;Julio Saez-Rodriguez;Julio Saez-Rodriguez;Peter Karl Sorger;Peter Karl Sorger

  • A methodology for the structural and functional analysis of signaling and regulatory networks

    Steffen Klamt;Julio Saez-Rodriguez;Jonathan A. Lindquist;Luca Simeoni

  • Evaluation of methods for modeling transcription factor sequence specificity

    Matthew T Weirauch;Atina Cote;Raquel Norel;Matti Annala

  • A Logical Model Provides Insights into T Cell Receptor Signaling

    Julio Saez-Rodriguez;Luca Simeoni;Jonathan A. Lindquist;Rebecca Hemenway

  • Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction

    Julio Saez-Rodriguez;Julio Saez-Rodriguez;Leonidas G Alexopoulos;Leonidas G Alexopoulos;Jonathan Epperlein;Regina Samaga

  • Logic-Based Models for the Analysis of Cell Signaling Networks

    Melody K. Morris;Julio Saez-Rodriguez;Julio Saez-Rodriguez;Peter Karl Sorger;Peter Karl Sorger;Douglas A. Lauffenburger

  • Fumarate is an epigenetic modifier that elicits epithelial-to-mesenchymal transition (vol 537, pg 544, 2016)

    M Sciacovelli;E Goncalves;TI Johnson;VR Zecchini

Frequent Co-Authors

Mathew J. Garnett
Mathew J. Garnett Wellcome Sanger Institute
Peter K. Sorger
Peter K. Sorger Harvard University
Ultan McDermott
Ultan McDermott AstraZeneca (United Kingdom)
Steffen Klamt
Steffen Klamt Max Planck Institute for Dynamics of Complex Technical Systems
Claudine Chaouiya
Claudine Chaouiya Aix-Marseille University
Graham R. Bignell
Graham R. Bignell Wellcome Sanger Institute
Julio R. Banga
Julio R. Banga Spanish National Research Council
Oliver Stegle
Oliver Stegle German Cancer Research Center

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