Daniela Bezdan

机构：University of Tübingen · ORCID：0000-0002-1203-8239

发表论文 115 篇 · 总被引 8433 次 · h-index 35

代表论文

• Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment (2020 · Cell · 被引 1640)
• Swarm Learning for decentralized and confidential clinical machine learning (2021 · Nature · 被引 900)
• Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19 (2020 · Immunity · 被引 411)
• A global metagenomic map of urban microbiomes and antimicrobial resistance (2021 · Cell · 被引 405)
• Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment (2020 · Nature Medicine · 被引 265)
• Early IFN-α signatures and persistent dysfunction are distinguishing features of NK cells in severe COVID-19 (2021 · Immunity · 被引 261)