Pancreatic Cancer Research

ResearcherQueen Mary University of LondonActive in the last 2 years

Daniela Loessner

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0001-5891-3441; OpenAlex author ID A5007482524. Sources: OpenAlex.

Their work

Papers
10 (first author 0, last author 8)
Trials
0
Grants
0
Labs led
1
Collaborators
33
Papers, trials and grants by year

2020: 1 paper · 2021: 3 papers · 2022: none · 2023: 1 paper · 2024: 1 paper · 2025: none · 2026: 4 papers

Papers 10

  1. GOT1 Inhibition Induces Extracellular Matrix Remodeling in Pancreatic Cancer. Last author DOI 10.1002/advs.202516578↗
  2. Matrix stiffness shapes transcriptional profiles and drug responses of pancreatic cancer cells. Last author DOI 10.1016/j.actbio.2025.12.020↗
  3. A biomaterial-based platform of pancreatic cancer reveals kallikrein-related peptidase 6 (KLK6) as a mediator of neutrophil recruitment and immunosuppression. Last author DOI 10.1016/j.biomaterials.2025.123456↗
  4. A pancreatic cancer organoid-macrophage co-culture using starPEG-heparin hydrogel deciphers tumor-immune cell interactions. Co-author DOI 10.1038/s41698-026-01678-6↗
  5. A Self-Assembled 3D Model Demonstrates How Stiffness Educates Tumor Cell Phenotypes and Therapy Resistance in Pancreatic Cancer. Co-author DOI 10.1002/adhm.202301941↗
  6. A Tumor Microenvironment Model of Pancreatic Cancer to Elucidate Responses toward Immunotherapy. Last author DOI 10.1002/adhm.202201907↗
  7. Bioengineered 3D models of human pancreatic cancer recapitulate in vivo tumour biology. Last author DOI 10.1038/s41467-021-25921-9↗
  8. 3D Collagen-Nanocellulose Matrices Model the Tumour Microenvironment of Pancreatic Cancer. Last author DOI 10.3389/fdgth.2021.704584↗
  9. Kallikrein-Related Peptidase 6 Is Associated with the Tumour Microenvironment of Pancreatic Ductal Adenocarcinoma. Last author DOI 10.3390/cancers13163969↗
  10. 3D approaches to model the tumor microenvironment of pancreatic cancer. Last author DOI 10.7150/thno.42441↗

Closest collaborators

The 25 strongest of 33 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Verena Kast · 5 shared papers, 2021–2026 · strength 0.92
  2. Rodrigo Curvello · 3 shared papers, 2021–2026 · strength 0.73
  3. Daniel E. Stange · 3 shared papers, 2023–2026 · strength 0.64
  4. Elena Tomás Bort · 3 shared papers, 2020–2026 · strength 0.55
  5. Juliana B. Candido · 3 shared papers, 2020–2026 · strength 0.55
  6. Shreya Sharma · 3 shared papers, 2020–2026 · strength 0.55
  7. Michael Seifert · 2 shared papers, 2026 · strength 0.53
  8. Franziska Baenke · 2 shared papers, 2026 · strength 0.46
  9. Eleonora Peerani · 2 shared papers, 2021–2026 · strength 0.41
  10. Sara Maria David Trabulo · 2 shared papers, 2021–2024 · strength 0.30
  11. David Osuna de la Peña · 2 shared papers, 2021–2024 · strength 0.30
  12. Ying Liu · 2 shared papers, 2021–2024 · strength 0.30
  13. Rita Teresa Lawlor · 2 shared papers, 2021–2024 · strength 0.30
  14. Christopher Heeschen · 2 shared papers, 2021–2024 · strength 0.30
  15. Aldo Scarpa · 2 shared papers, 2021–2024 · strength 0.30
  16. Eleni Maniati · 1 shared paper, 2026 · strength 0.29
  17. Jun Wang · 1 shared paper, 2026 · strength 0.29
  18. Hemant Mahendrakumar Kocher · 1 shared paper, 2026 · strength 0.29
  19. Daniel Gerald Croagh · 1 shared paper, 2026 · strength 0.28
  20. Jens Pietzsch · 1 shared paper, 2026 · strength 0.25
  21. Julius Thyen · 1 shared paper, 2026 · strength 0.21
  22. Adrian M. Seifert · 1 shared paper, 2026 · strength 0.21
  23. Mathieu Pecqueux · 1 shared paper, 2026 · strength 0.21
  24. Marc Schmitz · 1 shared paper, 2026 · strength 0.21
  25. Lena Seifert · 1 shared paper, 2026 · strength 0.21

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.