Author

S. Künzel

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. Hochkirch· 1 shared A. Kurzyukova· 1 shared A. Melcher· 1 shared C. Bekpen· 1 shared C. Müller· 1 shared C. Xie· 1 shared D. Tautz· 1 shared D. Teubner· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperEcology

A. Hochkirch

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Preclinical assessment of CAR-NK cell-mediated killing efficacy and pharmacokinetics in a rapid zebrafish xenograft model of metastatic breast cancer

N. Murali Shankar, P. Ortiz Montero, A. Kurzyukova, W. Rackwitz, S. Künzel, W. S. Wels, T. Tonn, F. Knopf, J. Eitler

This study evaluates CAR-NK cell efficacy and pharmacokinetics in a zebrafish xenograft model of metastatic breast cancer, showing rapid tumor cell elimination.

bioRxiv · Jul 11, 2023 · PreprintCancer Biology

Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities

H. Krehenwinkel, S. Weber, R. Broekmann, A. Melcher, R. Wolf, A. Hochkirch, S. R. Kennedy, J. Koschorrek, S. Künzel, C. Müller, R. Reztlaff, D. Teubner, S. Schanzer, R. Klein, M. Paulus, , M. Veith

The paper uses environmental DNA from archived leaves to show temporal turnover and biotic homogenization in forest arthropod communities, not widespread declines in diversity.

bioRxiv · Apr 27, 2022Ecology

Studying the dawn of de novo gene emergence in mice reveals fast integration of new genes into functional networks

C. Xie, C. Bekpen, S. Künzel, M. Keshavarz, R. Krebs-Wheaton, N. Skrabar, K. K. Ullrich, D. Tautz

The paper studies three newly emerged genes in mice, showing they quickly integrate into functional networks without extensive adaptive changes.

bioRxiv · Jan 2, 2019 · PreprintEvolutionary Biology