Author

Berislav Bošnjak

Medizinische Hochschule HannoverORCID 0000-0003-3374-7488Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 3

Signature Assays, Organisms & Methods

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Assay:flow cytometry· 3 Research Focus:host-pathogen & immune response· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Reinhold FörsteriD· 3 shared Lennart Matthias RoesneriD· 2 shared Thomas WerfeliD· 2 shared Anika JansseniD· 1 shared Anja Schimrock· 1 shared Christiane RitteriD· 1 shared Christine Susanne FalkiD· 1 shared Felix Jenniches· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersImmunology

Reinhold FörsterORCID

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3 papers

Recent·Most cited

ImmunologyImmunity & AgeingPeer-reviewedJul 3, 2025

Different CMV-specific effector T cell subtypes are associated with age, CMV serostatus, and increased systolic blood pressure

Lennart Matthias Roesner, Stephan Traidl, Berislav Bošnjak…·Thomas Werfel

The paper examines the association between CMV-specific effector T cell subtypes, age, CMV serostatus, and systolic blood pressure in an elderly cohort.

4 citations

humanflow cytometry

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ImmunologyJournal of Leukocyte BiologyPeer-reviewedApr 1, 2025

Protective function of ex vivo expanded CD8 T cells in a mouse model of adoptive therapy for cytomegalovirus infection depends on integrin beta 1 but not CXCR3, CTLA4, or PD-1 expression

Xiaokun Liu, Rodrigo Gutierrez Jauregui, Yvonne Lueder…·Reinhold Förster

DOI 10.1093/jleuko/qiae256

mouseflow cytometry

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ImmunologyEBioMedicinePeer-reviewedJan 24, 2025

Integrative deep immune profiling of the elderly reveals systems-level signatures of aging, sex, smoking, and clinical traits

Lennart Riemann, Rodrigo Gutiérrez, Ivan Odak…·Martin Stangel

The paper profiles the immune system of elderly individuals and identifies systems-level signatures of aging, sex, smoking, and clinical traits using high-dimensional flow cytometry and multi-block analysis.

10 citations

humanflow cytometry

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