Author

R. Wolf

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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Ecology· 3 Pharmacology & Toxicology· 2 Bioengineering· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Research Focus:ecology & biodiversity· 4 Assay:metagenomics· 4 Research Focus:host-pathogen & immune response· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

M. Bonkowski· 3 shared M. Schlegel· 3 shared R.-T. Jauss· 3 shared S. Schaffer· 3 shared S. Walden· 3 shared A. M. Fiore-Donno· 2 shared K. Feng· 2 shared A. A. Ould Ismail· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersEcology

M. Bonkowski

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Defining the in vivo mechanism of air pollutant toxicity using murine stress response biomarkers.

F. Inesta-Vaquera, L. Miyashita, C. J. Henderson, J. Grigg, R. Wolf

This study uses murine stress response biomarkers to investigate the mechanisms of air pollutant toxicity and links pollutant exposure to health risks.

bioRxiv · Oct 5, 2022Pharmacology & Toxicology

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

A parasite's paradise: Biotrophic species prevail oomycete community composition in tree canopies

R.-T. Jauss, S. Walden, A. M. Fiore-Donno, S. Schaffer, R. Wolf, K. Feng, M. Bonkowski, M. Schlegel

This study shows that obligate biotrophic oomycetes dominate tree canopies, indicating canopies as a reservoir for parasitic protists and challenging previous assumptions about host dependencies.

bioRxiv · Feb 17, 2021Microbiology

On the phenology of protists: Recurrent patterns reveal seasonal variation of protistan (Rhizaria: Cercozoa, Endomyxa) communities in tree canopies

S. Walden, R.-T. Jauss, K. Feng, A. M. Fiore-Donno, K. Dumack, S. Schaffer, R. Wolf, M. Schlegel, M. Bonkowski

This study identifies seasonal patterns in protistan communities in tree canopies using high-throughput sequencing, revealing distinct taxa in spring and autumn and highlighting the canopy as a reservoir for wind-dispersed propagules.

bioRxiv · Feb 15, 2021Ecology

To the canopy and beyond: Air samples reveal wind dispersal as a driver of ubiquitous protistan pathogen assembly in tree canopies

R.-T. Jauss, A. Nowack, S. Walden, R. Wolf, S. Schaffer, B. Schellbach, M. Bonkowski, M. Schlegel

The paper analyzes air samples to show wind dispersal drives protistan pathogen assembly in tree canopies, with no spatial restriction in forest ecosystems.

bioRxiv · Nov 30, 2020Ecology

Freewater EstimatoR using iNtErpolated iniTialization (FERNET): Toward Accurate Estimation of Free Water in Peritumoral Region Using Single-Shell Diffusion MRI Data

A. A. Ould Ismail, D. Parker, M. Hernandez Fernandez, R. Wolf, S. Brem, S. Alexander, W. Hodges, O. Pasternak, E. Caruyer, R. Verma

FERNET improves free water estimation in peritumoral regions using single-shell diffusion MRI data, enhancing tractography in brain tumor patients.

bioRxiv · Oct 8, 2019Bioengineering

Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence

S. J. Moe, A. L. Madsen, K. A. Connors, J. M. Rawlings, S. E. Belanger, W. G. Landis, R. Wolf, A. D. Lillicrap

This paper develops a Bayesian network model to predict acute fish toxicity using fish embryo toxicity data and other chemical properties, achieving 69-80% accuracy.

bioRxiv · Aug 30, 2019Pharmacology & Toxicology