ResearcherPhilipps University of MarburgActive in the last 2 years
Benedikt Slusny
Matched on ORCID iD 0009-0007-6634-522X; OpenAlex author ID A5099583947. Sources: OpenAlex.
Their work
- Papers
- 2 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 7
2024: 1 paper · 2025: 1 paper
Papers 2
- Protocol for analyzing T cell and macrophage motility in a mouse pancreatic cancer spheroid model using light-sheet microscopy. First author DOI 10.1016/j.xpro.2025.103981↗
- Optimized Spheroid Model of Pancreatic Cancer Demonstrates Influence of Macrophage-T Cell Interaction for Intratumoral T Cell Motility. Co-author DOI 10.3390/cancers17010051↗
Closest collaborators
The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Christian Alexander Bauer · 2 shared papers, 2024–2025 · strength 0.58
- Paper Protocol for analyzing T cell and macrophage motility in a mouse pancreatic cancer spheroid model using light-sheet mic… DOI 10.1016/j.xpro.2025.103981↗
- Paper Optimized Spheroid Model of Pancreatic Cancer Demonstrates Influence of Macrophage-T Cell Interaction for Intratumoral … DOI 10.3390/cancers17010051↗
- Vanessa Zimmer · 2 shared papers, 2024–2025 · strength 0.58
- Paper Protocol for analyzing T cell and macrophage motility in a mouse pancreatic cancer spheroid model using light-sheet mic… DOI 10.1016/j.xpro.2025.103981↗
- Paper Optimized Spheroid Model of Pancreatic Cancer Demonstrates Influence of Macrophage-T Cell Interaction for Intratumoral … DOI 10.3390/cancers17010051↗
- Elena Nasiri · 1 shared paper, 2024 · strength 0.22
- Malte Buchholz · 1 shared paper, 2024 · strength 0.22
- Magdalena Huber · 1 shared paper, 2024 · strength 0.22
- Veronika Lutz · 1 shared paper, 2024 · strength 0.22
- Thomas Mathias Gress · 1 shared paper, 2024 · strength 0.22
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.