Author

P. Schlegel

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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Neuroscience· 1 Pathology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

A. Jungmann· 1 shared A. M. Dacks· 1 shared A. Manandhar· 1 shared B. Krautz· 1 shared B. M. Woldetsadik· 1 shared C. A. Lewis· 1 shared C. Kasper· 1 shared C. Mooney· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperPathology

A. Jungmann

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A complete adult Drosophila melanogaster brain tracheolar network

H. Cho, T. Ng, K. Schoenberg, S. Huntress, J. Suh, A. Manandhar, S. Lin, B. M. Woldetsadik, R. S. Kang, M. Bui, L. M. Zebrowski, F. Reynolds-Cornell, E. Agbedun, Y. Cruz, C. A. Lewis, , Kenneth J. Colodner

The paper manually traces and analyzes the tracheolar network in the adult Drosophila brain using electron microscopy data, revealing its structure and spatial relationship with neurons.

bioRxiv · Nov 10, 2026 · PreprintNeuroscience

Cardiac-targeted rAAV5-S100A1 gene therapy protects against adverse remodeling and contractile dysfunction in post-ischemic hearts

D. Kehr, J. Salatzki, B. Krautz, K. Varadi, J. Birkenstock, P. Schlegel, E. Gao, W. J. Koch, J. Riffel, F. Andre, K. Peppel, H. A. Katus, N. Frey, M. Busch, H. Pfannkuche, , P. Most

This study demonstrates that cardiac-targeted rAAV5-S100A1 gene therapy reduces adverse remodeling and improves contractile function in post-ischemic hearts in pigs and mice.

bioRxiv · Mar 3, 2023 · PreprintPathology

Accuracy of predicting chemical body composition of growing pigs using dual-energy X-ray absorptiometry

C. Kasper, P. Schlegel, I. Ruiz-Ascacibar, P. Stoll, G. Bee

This study develops prediction equations to convert DXA measurements into chemical body composition values in growing pigs, showing higher accuracy for equations based on similar DXA technology.

bioRxiv · Sep 15, 2020Physiology