Author

R. Krishna Thakur

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 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1

Frequent Co-Authors

F. Safi· 2 shared G. Karlsson· 2 shared L. Geironson Ulfsson· 2 shared M. N. E. Sommarin· 2 shared P. Dhapola· 2 shared R. Warfvinge· 2 shared A. Konturek-Ciesla· 1 shared C. Böiers· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

F. Safi

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Single cell multi-omics analysis of chronic myeloid leukemia links cellular heterogeneity to therapy response

R. Warfvinge, L. Geironson Ulfsson, P. Dhapola, F. Safi, M. N. E. Sommarin, S. Soneji, H. Hjorth-Hansen, S. Mustjoki, J. Richter, R. Krishna Thakur, G. Karlsson

This paper uses single-cell multi-omics to analyze CML patient data, showing that cellular heterogeneity correlates with therapy response and identifies markers for LSCs and HSCs.

bioRxiv · Aug 16, 2023 · PreprintCancer Biology

Single-Cell Multiomics Reveals Distinct Cell States at the Top of the Human Hematopoietic Hierarchy

M. N. E. Sommarin, P. Dhapola, F. Safi, R. Warfvinge, L. Geironson Ulfsson, E. Erlandsson, A. Konturek-Ciesla, R. Krishna Thakur, C. Böiers, D. Bryder, G. Karlsson

This study uses single-cell multiomics to reveal distinct cell states in human hematopoietic stem and progenitor cells, showing a bifurcation into lineage-specific trajectories and changes with age.

bioRxiv · Apr 1, 2021 · PreprintCell Biology