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Evelyn Ramberger

Translation of CircRNAs
2017 · Nagarjuna Reddy Pamudurti, Osnat Bartok, et al. · Molecular Cell · 1,824
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Combined Analysis of Metabolomes, Proteomes, and Transcriptomes of Hepatitis C Virus–Infected Cells and Liver to Identify Pathways Associated With Disease Development
2019 · Joachim Lupberger, Tom Croonenborghs, et al. · Gastroenterology · 113
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Proteomic profiling reveals CDK6 upregulation as a targetable resistance mechanism for lenalidomide in multiple myeloma
2022 · Yuen Lam Dora Ng, Evelyn Ramberger, et al. · Nature Communications · 68
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The proteogenomic landscape of multiple myeloma reveals insights into disease biology and therapeutic opportunities
2024 · Evelyn Ramberger, Valeriia Sapozhnikova, et al. · Nature Cancer · 47
Very small superparamagnetic iron oxide nanoparticles: Long-term fate and metabolic processing in atherosclerotic mice
2018 · Wolfram C. Poller, Melanie Pieber, et al. · Nanomedicine Nanotechnology Biology and Medicine · 43
SUMOylation inhibition overcomes proteasome inhibitor resistance in multiple myeloma
2022 · Guus J. J. E. Heynen, Francis Baumgartner, et al. · Blood Advances · 34
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RHOQ is induced by DLL4 and regulates angiogenesis by determining the intracellular route of the Notch intracellular domain
2020 · Esther Bridges, Helen Sheldon, et al. · Angiogenesis · 28
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Uptake of citrate-coated iron oxide nanoparticles into atherosclerotic lesions in mice occurs via accelerated transcytosis through plaque endothelial cells
2016 · Wolfram C. Poller, Evelyn Ramberger, et al. · Nano Research · 25
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PRISMA and BioID disclose a motifs-based interactome of the intrinsically disordered transcription factor C/EBPα
2021 · Evelyn Ramberger, Valeria Sapozhnikova, et al. · iScience · 23
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Pan-claudin family interactome analysis reveals shared and specific interactions
2022 · Lorena Suarez-Artiles, Tilman Breiderhoff, et al. · Cell Reports · 20
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A Universal Peptide Matrix Interactomics Approach to Disclose Motif-Dependent Protein Binding
2021 · Evelyn Ramberger, Lorena Suarez-Artiles, et al. · Molecular & Cellular Proteomics · 17
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Tissue Specific Labeling in Proteomics
2017 · Evelyn Ramberger, Gunnar Dittmar · Proteomes · 9
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ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes
2026 · Philipp Anders, Marvin Sextro, et al. · Clinical Cancer Research · 5
Hepatitis B virus-infected hepatocytes promote the secretion of collagen VI to the extracellular matrix
2025 · Alessia Virzì, Zakaria Boulahtouf, et al. · Scientific Reports · 3
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Multiregional Immune Profiling Reveals Prognostic Patterns in Bladder Cancer
2025 · Nadia Jurczok, Gabriel Dernbach, et al. · European Urology Oncology · 2
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Enhancing prognostic precision in bladder cancer: AI-driven tumor microenvironment analysis from H&E images.
2025 · Evelyn Ramberger, Kai Standvoss, et al. · Journal of Clinical Oncology · 2
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S189: Proteogenomic Landscape of Multiple Myeloma
2023 · Evelyn Ramberger, Anna Dolnik, et al. · HemaSphere · 2
Erratum to: Uptake of citrate-coated iron oxide nanoparticles into atherosclerotic lesions in mice occurs via accelerated transcytosis through plaque endothelial cells
2016 · Wolfram C. Poller, Evelyn Ramberger, et al. · Nano Research · 2
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Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy
2026 · Standvoss, Kai, Hägele, Miriam, et al. · arXiv (Cornell University) · 1
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OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA
2026 · Galama, Maaike, Kozar-Gillan, Nina, et al. · arXiv (Cornell University) · 1
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Quantitative Proteomic Analysis of Relapsed Multiple Myeloma Identifies CDK6 Upregulation As a Potential Targetable Resistance Mechanism for Lenalidomide
2019 · Yuen Lam Dora Ng, Stephan Bohl, et al. · Blood · 1
LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology
2026 · Eich, Marie-Lisa, Standvoss, Kai, et al. · arXiv (Cornell University)
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Data from ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes
2026 · Philipp Anders, Marvin Sextro, et al.
Supplementary Data1 from ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes
2026 · Philipp Anders, Marvin Sextro, et al.
ADC target profiling in NSCLC: Generalizable AI separates TROP-2 and cMET phenotypes
2026 · Anders, Philipp, Sextro, Marvin, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 28
Citation count: 2,270
H-index: 11
I10-index: 11
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