Author

Tim Johann

Leibniz Research Centre for Working Environment and Human FactorsORCID 0000-0001-5792-1562Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Organism:mouse· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Dirk DrasdoiD· 2 shared Johannes Neitsch· 2 shared Paul Van LiedekerkeiD· 2 shared Enrico Warmt· 1 shared Ismael Gonzales Valverde· 1 shared Josef Käs· 1 shared Kévin AlessandriiD· 1 shared Pierre NassoyiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioengineering

Dirk DrasdoORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintJan 22, 2019

Quantifying the mechanics and growth of cells and tissues in 3D using high resolution computational models.

Paul Van Liedekerke, Johannes Neitsch, Tim Johann…·Dirk Drasdo

The paper develops a 3D high-resolution cell-based model to study liver regeneration after drug-induced hepatocyte depletion, finding that migration forces required for tissue closure are lower than predicted by center-based models.

DOI 10.1101/470559

humanspatial transcriptomics

𝕏 PostBluesky

Systems BiologybioRxivPreprintJun 5, 2018

Quantitative agent-based modeling reveals mechanical stress response of growing tumor spheroids is predictable over various growth conditions and cell lines

Paul Van Liedekerke, Johannes Neitsch, Tim Johann…·Dirk Drasdo

The paper develops an agent-based model to predict tumor spheroid growth under mechanical stress across different conditions and cell lines.

2 citations

mousestatistical model

𝕏 PostBluesky