ResearcherUniversity Hospital MagdeburgActive in the last 2 years
Ulf D. Kahlert
Matched on ORCID iD 0000-0002-6021-1841; OpenAlex author ID A5008627959. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 0, last author 6)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 27
2022: 1 paper · 2023: 1 paper · 2024: 2 papers · 2025: 3 papers
Papers 7
- Vision transformer network discovers the prognostic value of pancreatic cancer pathology sections via interpretable risk scores. Last author DOI 10.1007/s12672-025-03547-3↗
- Unlocking Clinical Insights: Lymphocyte-Specific Protein Tyrosine Kinase Candidates as Promising Therapeutic Targets for Pancreatic Cancer Risk Stratification. Last author DOI 10.1089/cbr.2024.0056↗
- Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping o… Last author DOI 10.7554/elife.103737↗
- Nanoformulation of dasatinib cannot overcome therapy resistance of pancreatic cancer cells with low LYN kinase expression. Last author DOI 10.1007/s43440-024-00600-w↗
- Integrating a microRNA signature as a liquid biopsy-based tool for the early diagnosis and prediction of potential therapeutic targets in pancreatic cancer. Last author DOI 10.1038/s41416-023-02488-4↗
- Plasma extracellular vesicle messenger RNA profiling identifies prognostic EV signature for non-invasive risk stratification for survival prediction of patient… Co-author DOI 10.1186/s13045-023-01404-w↗
- Sensory Ion Channel Candidates Inform on the Clinical Course of Pancreatic Cancer and Present Potential Targets for Repurposing of FDA-Approved Agents. Last author DOI 10.3390/jpm12030478↗
Closest collaborators
The 25 strongest of 27 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Christoph Kahlert · 4 shared papers, 2022–2025 · strength 0.70
- Paper Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for e… DOI 10.7554/elife.103737↗
- Paper Integrating a microRNA signature as a liquid biopsy-based tool for the early diagnosis and prediction of potential ther… DOI 10.1038/s41416-023-02488-4↗
- Paper Sensory Ion Channel Candidates Inform on the Clinical Course of Pancreatic Cancer and Present Potential Targets for Rep… DOI 10.3390/jpm12030478↗
- Wenjie Shi · 3 shared papers, 2025 · strength 0.69
- Paper Unlocking Clinical Insights: Lymphocyte-Specific Protein Tyrosine Kinase Candidates as Promising Therapeutic Targets fo… DOI 10.1089/cbr.2024.0056↗
- Paper Vision transformer network discovers the prognostic value of pancreatic cancer pathology sections via interpretable ris… DOI 10.1007/s12672-025-03547-3↗
- Paper Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for e… DOI 10.7554/elife.103737↗
- Yi Zhun Zhu · 2 shared papers, 2025 · strength 0.45
- Paper Vision transformer network discovers the prognostic value of pancreatic cancer pathology sections via interpretable ris… DOI 10.1007/s12672-025-03547-3↗
- Paper Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for e… DOI 10.7554/elife.103737↗
- Maciej Pech · 2 shared papers, 2025 · strength 0.45
- Paper Vision transformer network discovers the prognostic value of pancreatic cancer pathology sections via interpretable ris… DOI 10.1007/s12672-025-03547-3↗
- Paper Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for e… DOI 10.7554/elife.103737↗
- Wenjie Shi · 2 shared papers, 2022–2024 · strength 0.44
- Paper Nanoformulation of dasatinib cannot overcome therapy resistance of pancreatic cancer cells with low LYN kinase expressi… DOI 10.1007/s43440-024-00600-w↗
- Paper Sensory Ion Channel Candidates Inform on the Clinical Course of Pancreatic Cancer and Present Potential Targets for Rep… DOI 10.3390/jpm12030478↗
- Marilyn Kaul · 1 shared paper, 2024 · strength 0.28
- Huan Zhang · 1 shared paper, 2025 · strength 0.25
- Zhiyong Peng · 1 shared paper, 2025 · strength 0.23
- Ujjwal Mukund Mahajan · 1 shared paper, 2025 · strength 0.22
- Wenjie Shi · 1 shared paper, 2024 · strength 0.19
- Marino Venerito · 1 shared paper, 2024 · strength 0.19
- Alexander Link · 1 shared paper, 2024 · strength 0.19
- Christiane J. Bruns · 1 shared paper, 2024 · strength 0.19
- Yue Zhao · 1 shared paper, 2024 · strength 0.19
- Thomas Baptist Brunner · 1 shared paper, 2022 · strength 0.16
- Doreen William · 1 shared paper, 2023 · strength 0.13
- Susanne Roth · 1 shared paper, 2023 · strength 0.13
- Adrian M. Seifert · 1 shared paper, 2023 · strength 0.13
- Thilo Hackert · 1 shared paper, 2023 · strength 0.13
- Fang Cheng Wong · 1 shared paper, 2023 · strength 0.13
- Mathieu Pecqueux · 1 shared paper, 2023 · strength 0.13
- Yi Han · 1 shared paper, 2023 · strength 0.13
- Lena Seifert · 1 shared paper, 2023 · strength 0.13
- Georg F. Weber · 1 shared paper, 2023 · strength 0.13
- Christian P. Pilarsky · 1 shared paper, 2023 · strength 0.13
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.