ResearcherUniversity of FreiburgActive in the last 2 years
Carola Focke
Matched on ORCID iD 0009-0007-4024-0358; OpenAlex author ID A5075537119. Sources: OpenAlex.
Their work
- Papers
- 2 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 7
2025: 1 paper · 2026: 1 paper
Papers 2
- Improvement of Gemcitabine Treatment of Pancreatic Cancer by the Addition of All- trans Retinoic Acid and Identification of Vitamin A and Pentraxin 3 as Potent… First author DOI 10.64898/2026.08.16.26359923↗
- The distance to arteries predicts the oncological outcome in pancreatic cancer surgery - results from a 3D reconstruction model. Co-author DOI 10.1016/j.pan.2025.09.024↗
Closest collaborators
The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Sophia Chikhladze · 2 shared papers, 2025–2026 · strength 0.49
- Paper The distance to arteries predicts the oncological outcome in pancreatic cancer surgery - results from a 3D reconstructi… DOI 10.1016/j.pan.2025.09.024↗
- Paper Improvement of Gemcitabine Treatment of Pancreatic Cancer by the Addition of All- trans Retinoic Acid and Identificatio… DOI 10.64898/2026.08.16.26359923↗
- Dietrich Alexander Ruess · 2 shared papers, 2025–2026 · strength 0.49
- Paper The distance to arteries predicts the oncological outcome in pancreatic cancer surgery - results from a 3D reconstructi… DOI 10.1016/j.pan.2025.09.024↗
- Paper Improvement of Gemcitabine Treatment of Pancreatic Cancer by the Addition of All- trans Retinoic Acid and Identificatio… DOI 10.64898/2026.08.16.26359923↗
- Uwe A. Wittel · 1 shared paper, 2025 · strength 0.27
- Sarah Niessen · 1 shared paper, 2026 · strength 0.22
- Melanie Boerries · 1 shared paper, 2026 · strength 0.22
- Heiko Becker · 1 shared paper, 2026 · strength 0.22
- Michael Quante · 1 shared paper, 2026 · 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.