Author

R. Hammer

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 Immunology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:deep learning· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell-cell communication· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1

Frequent Co-Authors

Anja DrögeiD· 1 shared Burkhard HirschiD· 1 shared C. Doppler· 1 shared C. Wang· 1 shared C. Wölfel· 1 shared Christina BeushauseniD· 1 shared D. Xu· 1 shared Dominik BentsiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperImmunology

Anja DrögeORCID

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Author profile →

3 papers

Recent·Most cited

A new clustering approach identifies tumor-specific common TCRs with pan-cancer reactivity

Steffen Hennig, Kristin Gennermann, Sefer Elezkurtaj, Volkhard Seitz, Burkhard Hirsch, Anja Dröge, Sigrid Schaper, Dominik Bents, Stephan Eggeling, Christina Beushausen, Hermann Herbst, Nadine Genzel, J. Glökler, C. Wölfel, C. Doppler, , R. Hammer

This paper introduces a TCR-V(D)J-sequence clustering method to identify tumor-specific common TCRs across cancers, showing their pan-cancer reactivity and potential for therapeutic applications.

bioRxiv · Apr 26, 2025 · PreprintImmunology

Dynamic Localization of Leukemia Stem Cells via CXCL12 Regulates Leukemia Progression

C. Wang, Y. Pan, R. Dong, W. Zhou, X. Meng, Y. Shi, R. Nistala, R. Hammer, L. Li, X. Kang

This study shows that the CXCL12 gradient, regulated by DPP4 and GPC3, determines leukemia stem cell (LSC) localization and behavior, influencing leukemia progression.

bioRxiv · Jun 29, 2024 · PreprintCancer Biology

pathCLIP: Detection of Genes and Gene Relations from Biological Pathway Figures through Image-Text Contrastive Learning

F. He, K. Liu, Z. Yang, Y. Chen, R. Hammer, D. Xu, M. Popescu

The paper introduces pathCLIP, a system that identifies genes and gene relations from biological pathway figures using image-text contrastive learning, outperforming single-modality approaches.

bioRxiv · Oct 31, 2023Pathology