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

Julio Saez-Rodriguez

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Engineering and Technology
Germany
2025

D-Index & Metrics

Engineering and Technology

D-Index
83
Citations
32737
World Ranking
430
National Ranking
11

Biology and Biochemistry

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

Research.com Recognitions

  • 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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