Author

C. König

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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Biophysics· 1 Cell Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Assay:imaging· 1

Frequent Co-Authors

A. Darras· 1 shared A. Hellhund· 1 shared A. R. Martin· 1 shared B. Butterfield· 1 shared B. Honecker· 1 shared C. Ammer· 1 shared C. J. Sweeney· 1 shared C. Kummerow· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBiophysics

A. Darras

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Proteins differentially expressed between pathogenic and non-pathogenic Entamoeba histolytica clones influence pathogenicity by different mechanisms

J. Anders, C. König, C. Lender, A. Hellhund, S. Nehls, I. Shalabi, B. Honecker, S. Lorenzen, M. Meyer, J. Matthiesen, D. Cadar, T. Roeder, N. G. Metwally, H. Lotter, I. Bruchhaus

This study identifies two genes, ehhp127 and ehmp8-2, differentially expressed between pathogenic and non-pathogenic Entamoeba histolytica clones, showing they influence pathogenicity through distinct mechanisms.

bioRxiv · Jun 29, 2023 · PreprintCell Biology

Imaging erythrocyte sedimentation in whole blood

A. Darras, H. G. Breunig, T. John, R. Zhao, J. Koch, C. Kummerow, C. König, C. Wagner, L. Kaestner

The paper uses optical imaging techniques to study erythrocyte sedimentation structures, finding dynamic channeling gel formations with varying detail resolution across methods.

bioRxiv · Aug 31, 2021Biophysics

Global Root Traits (GRooT) Database

N. R. Guerrero-Ramirez, L. Mommer, G. T. Freschet, C. M. Iversen, M. L. McCormack, J. Kattge, H. Poorter, F. van der Plas, J. Bergmann, T. W. Kuyper, L. M. York, H. Bruelheide, D. C. Laughlin, I. C. Meier, C. Roumet, , J. Penuelas

The paper creates the Global Root Trait (GRooT) Database to integrate root trait data into large-scale analyses by standardizing and curating root trait records from diverse studies.

bioRxiv · May 17, 2020Ecology