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D-Index & Metrics

Biology and Biochemistry

D-Index
102
Citations
34625
World Ranking
1380
National Ranking
795

Overview

Eytan Ruppin is affiliated with the National Institutes of Health in the United States. Their research spans mainly the fields of Biochemistry, Genetics and Molecular Biology, with a substantial focus also on Medicine. Within these broader fields, their work covers several subfields including Molecular Biology, Oncology, Cancer Research, Immunology, and Infectious Diseases.

The scientist's research topics include diverse areas such as Cancer Genomics and Diagnostics, Cancer Immunotherapy and Biomarkers, Single-cell and Spatial Transcriptomics, CAR-T Cell Therapy Research, Epigenetics and DNA Methylation, Radiomics and Machine Learning in Medical Imaging, and SARS-CoV-2 and COVID-19 Research.

Frequent publication venues for their work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cancer Research
  • Nature Communications
  • Science Advances
  • Regular and Young Investigator Award Abstracts

Ruppin has collaborated extensively with several co-authors, notably Alejandro A. Schäffer, Sanju Sinha, Kenneth Aldape, Joo Sang Lee, and Nishanth Ulhas Nair. These collaborations reflect a broad network contributing to their diverse research interests.

Among their recent papers are:

  • "Discovery of SARS-CoV-2 antiviral drugs through large-scale compound repurposing," 2020, Nature
  • "Identification of bacteria-derived HLA-bound peptides in melanoma," 2021, Nature
  • "Big data in basic and translational cancer research," 2022, Nature Reviews. Cancer
  • "Systematic investigation of cytokine signaling activity at the tissue and single-cell levels," 2021, Nature Methods
  • "Large-Scale Study of Antibody Titer Decay following BNT162b2 mRNA Vaccine or SARS-CoV-2 Infection," 2021, Vaccines

The range of journals and topics reflects involvement in both fundamental molecular biology and translational cancer research, along with contributions to infectious disease studies and immunology. Their work includes analysis at both tissue and single-cell levels using advanced methodologies.

Best Publications

  • Associating Genes and Protein Complexes with Disease via Network Propagation

    Oron Vanunu;Oded Magger;Eytan Ruppin;Tomer Shlomi

  • PREDICT: a method for inferring novel drug indications with application to personalized medicine.

    Assaf Gottlieb;Gideon Y Stein;Gideon Y Stein;Eytan Ruppin;Roded Sharan

  • Discovery of SARS-CoV-2 antiviral drugs through large-scale compound repurposing.

    Laura Riva;Shuofeng Yuan;Xin Yin;Laura Martin-Sancho

  • Network-based prediction of human tissue-specific metabolism

    Tomer Shlomi;Moran N Cabili;Markus J Herrgård;Bernhard Ø Palsson

  • Competitive and cooperative metabolic interactions in bacterial communities.

    Shiri Freilich;Raphy Zarecki;Omer Eilam;Ella Shtifman Segal

  • Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma

    Noam Auslander;Gao Zhang;Joo Sang Lee;Joo Sang Lee;Dennie T. Frederick

  • Systems analysis of intracellular pH vulnerabilities for cancer therapy.

    Erez Persi;Erez Persi;Miquel Duran-Frigola;Mehdi Damaghi;William R. Roush

  • Predicting selective drug targets in cancer through metabolic networks

    Ori Folger;Livnat Jerby;Christian Frezza;Eyal Gottlieb

  • Regulatory on/off minimization of metabolic flux changes after genetic perturbations

    Tomer Shlomi;Omer Berkman;Eytan Ruppin

  • Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase

    Christian Frezza;Liang Zheng;Ori Folger;Kartik N. Rajagopalan

  • Glutamine Synthetase activity fuels nucleotide biosynthesis and supports growth of glutamine-restricted glioblastoma

    Saverio Tardito;Anaïs Oudin;Shafiq U. Ahmed;Fred Fack

  • Computational reconstruction of tissue-specific metabolic models: application to human liver metabolism

    Livnat Jerby;Tomer Shlomi;Eytan Ruppin

  • Identification of bacteria-derived HLA-bound peptides in melanoma

    Shelly Kalaora;Adi Nagler;Deborah Nejman;Michal Alon

  • iMAT: an integrative metabolic analysis tool.

    Hadas Zur;Eytan Ruppin;Tomer Shlomi

  • Diversion of aspartate in ASS1-deficient tumours fosters de novo pyrimidine synthesis

    Shiran Rabinovich;Lital Adler;Keren Yizhak;Alona Sarver

  • UVB-Induced Tumor Heterogeneity Diminishes Immune Response in Melanoma

    Yochai Wolf;Osnat Bartok;Sushant Patkar;Gitit Bar Eli

  • A genome-scale computational study of the interplay between transcriptional regulation and metabolism

    Tomer Shlomi;Yariv Eisenberg;Roded Sharan;Eytan Ruppin

  • Predicting Cancer-Specific Vulnerability via Data-Driven Detection of Synthetic Lethality

    Livnat Jerby-Arnon;Nadja Pfetzer;Yedael Y. Waldman;Lynn McGarry

  • Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model

    Keren Yizhak;Tomer Benyamini;Wolfram Liebermeister;Eytan Ruppin

  • The large-scale organization of the bacterial network of ecological co-occurrence interactions

    Shiri Freilich;Anat Kreimer;Isacc Meilijson;Uri Gophna

Frequent Co-Authors

Roded Sharan
Roded Sharan Tel Aviv University
Martin Kupiec
Martin Kupiec Tel Aviv University
Tamir Tuller
Tamir Tuller Tel Aviv University
James A. Reggia
James A. Reggia University of Maryland, College Park
Nir Yosef
Nir Yosef University of California, Berkeley
Ze'ev Ronai
Ze'ev Ronai Cedars-Sinai Medical Center
Sridhar Hannenhalli
Sridhar Hannenhalli National Institutes of Health
Alejandro A. Schäffer
Alejandro A. Schäffer National Institutes of Health
Elhanan Borenstein
Elhanan Borenstein Tel Aviv University
Uri Gophna
Uri Gophna Tel Aviv University

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