Pancreatic Cancer Research

ResearcherHeidelberg UniversityActive in the last 2 years

Miriam Klauß

Verified by OpenAlex author ID (good confidence, 0.85), identity_conf@1As of 7 November 2026

Matched on OpenAlex author ID A5109910544, A5135539237. Sources: OpenAlex.

Their work

Papers
20 (first author 1, last author 2)
Trials
0
Grants
0
Labs led
0
Collaborators
45
Papers, trials and grants by year

2011: 1 paper · 2012: none · 2013: 1 paper · 2014: none · 2015: none · 2016: 2 papers · 2017: none · 2018: 1 paper · 2019: 1 paper · 2020: 3 papers · 2021: 4 papers · 2022: 1 paper · 2023: 1 paper · 2024: 3 papers · 2025: none · 2026: 2 papers

Papers 20

  1. Impact of sarcopenia and myosteatosis on early and long-term survival after surgical resection of pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.pan.2026.04.007↗
  2. Pancreatic cancer. Co-author DOI 10.1038/s41572-026-00699-6↗
  3. The radiomorphological appearance of the invasive margin in pancreatic cancer is associated with tumor budding. Co-author DOI 10.1007/s00423-024-03355-3↗
  4. Performance of different CT enhancement quantification methods as predictors of pancreatic cancer recurrence after upfront surgery. Co-author DOI 10.1038/s41598-024-70441-3↗
  5. CT-based screening of sarcopenia and its role in cachexia syndrome in pancreatic cancer. Co-author DOI 10.1371/journal.pone.0291185↗
  6. Evaluation and timing optimization of CT perfusion first pass analysis in comparison to maximum slope model in pancreatic adenocarcinoma. Co-author DOI 10.1038/s41598-023-37381-w↗
  7. Imaging features of intraductal tubulopapillary neoplasm of the pancreas and its differentiation from conventional pancreatic ductal adenocarcinoma. Co-author DOI 10.1038/s41598-022-19517-6↗
  8. Radiological evaluation of pancreatic cancer: What is the significance of arterial encasement >180° after neoadjuvant treatment? Co-author DOI 10.1016/j.ejrad.2021.109603↗
  9. Computed Tomography Perfusion Analysis of Pancreatic Adenocarcinoma using Deconvolution, Maximum Slope, and Patlak Methods - Evaluation of Diagnostic Accuracy … First author DOI 10.1055/a-1401-0333↗
  10. Assessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation w… Co-author DOI 10.1186/s40644-021-00382-x↗
  11. Epithelial-to-Mesenchymal Transition in Pancreatic Cancer is associated with Restricted Water Diffusion in Diffusion-Weighted Magnetic Resonance Imaging. Co-author DOI 10.7150/jca.63633↗
  12. Diffusion Kurtosis Imaging-A Superior Approach to Assess Tumor-Stroma Ratio in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3390/cancers12061656↗
  13. Restricted Water Diffusion in Diffusion-Weighted Magnetic Resonance Imaging in Pancreatic Cancer is Associated with Tumor Hypoxia. Co-author DOI 10.3390/cancers13010089↗
  14. The Microarchitecture of Pancreatic Cancer as Measured by Diffusion-Weighted Magnetic Resonance Imaging Is Altered by T Cells with a Tumor Promoting Th17 Pheno… Co-author DOI 10.3390/ijms21010346↗
  15. The Time to and Type of Pancreatic Cancer Recurrence after Surgical Resection: Is Prediction Possible? Last author DOI 10.1016/j.acra.2018.07.025↗
  16. Changes in the microarchitecture of the pancreatic cancer stroma are linked to neutrophil-dependent reprogramming of stellate cells and reflected by diffusion-… Co-author DOI 10.7150/thno.21089↗
  17. IVIM DW-MRI of autoimmune pancreatitis: therapy monitoring and differentiation from pancreatic cancer. Co-author DOI 10.1007/s00330-015-4041-4↗
  18. Dual-Energy Perfusion-CT in Recurrent Pancreatic Cancer - Preliminary Results. Last author DOI 10.1055/s-0042-105765↗
  19. Dual-energy perfusion-CT of pancreatic adenocarcinoma. Co-author DOI 10.1016/j.ejrad.2012.09.012↗
  20. Enhancing pancreatic adenocarcinoma delineation in diffusion derived intravoxel incoherent motion f-maps through automatic vessel and duct segmentation. Co-author DOI 10.1002/mrm.22931↗

Closest collaborators

The 25 strongest of 45 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Philipp Mayer · 15 shared papers, 2018–2026 · strength 2.36
  2. Matthias M. Gaida · 10 shared papers, 2018–2024 · strength 1.37
  3. Thilo Hackert · 11 shared papers, 2016–2024 · strength 1.36
  4. Martin Loos · 4 shared papers, 2021–2026 · strength 0.83
  5. Lars Grenacher · 7 shared papers, 2011–2023 · strength 0.66
  6. Ekaterina Khristenko · 4 shared papers, 2020–2024 · strength 0.64
  7. Wolfram Stiller · 5 shared papers, 2013–2023 · strength 0.56
  8. Stephan Skornitzke · 4 shared papers, 2016–2023 · strength 0.52
  9. Thomas P. Hank · 2 shared papers, 2022–2026 · strength 0.45
  10. Franziska L. Fritz · 4 shared papers, 2013–2021 · strength 0.37
  11. Anna‐Katharina König · 1 shared paper, 2026 · strength 0.28
  12. Ingmar Florin Rompen · 1 shared paper, 2026 · strength 0.28
  13. Mohammed Al‐Saeedi · 1 shared paper, 2026 · strength 0.28
  14. Markus Wolfgang Büchler · 1 shared paper, 2026 · strength 0.28
  15. Niels Siegel · 1 shared paper, 2026 · strength 0.28
  16. Marco Koell · 2 shared papers, 2021 · strength 0.26
  17. Vinod P. Balachandran · 1 shared paper, 2026 · strength 0.24
  18. Thierry Conroy · 1 shared paper, 2026 · strength 0.24
  19. Susanne Roth · 1 shared paper, 2026 · strength 0.24
  20. Efrat Dotan · 1 shared paper, 2026 · strength 0.24
  21. Barbara T. Grünwald · 1 shared paper, 2026 · strength 0.24
  22. Eileen Mary O'Reilly · 1 shared paper, 2026 · strength 0.24
  23. Minoti Vivek Apte · 1 shared paper, 2026 · strength 0.24
  24. Núria Malats · 1 shared paper, 2026 · strength 0.24
  25. Alison P. Klein · 1 shared paper, 2026 · strength 0.24

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.