Qiaolin Li

Closest collaborators

The 22 strongest of 22 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Linhan Ye · 3 shared papers, 2023–2025 · strength 0.65
   • Paper Modeling the Transitional Phase of Epithelial Cells Reveals Prognostic and Therapeutic Targets in Pancreatic Ductal Ade… DOI 10.3390/cancers17111813↗
   • Paper Dynamics and cytokinic regulation of immune cell infiltration in genetically engineered mouse models of pancreatic canc… DOI 10.1002/cac2.12496↗
   • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
2. Jingcheng Zhang · 1 shared paper, 2025 · strength 0.37
   • Paper Modeling the Transitional Phase of Epithelial Cells Reveals Prognostic and Therapeutic Targets in Pancreatic Ductal Ade… DOI 10.3390/cancers17111813↗
3. Helmut Frieß · 2 shared papers, 2023–2024 · strength 0.29
   • Paper Dynamics and cytokinic regulation of immune cell infiltration in genetically engineered mouse models of pancreatic canc… DOI 10.1002/cac2.12496↗
   • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
4. Kıvanç Görgülü · 2 shared papers, 2023–2024 · strength 0.29
   • Paper Dynamics and cytokinic regulation of immune cell infiltration in genetically engineered mouse models of pancreatic canc… DOI 10.1002/cac2.12496↗
   • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
5. Carmen Mota Reyes · 2 shared papers, 2023–2024 · strength 0.29
   • Paper Dynamics and cytokinic regulation of immune cell infiltration in genetically engineered mouse models of pancreatic canc… DOI 10.1002/cac2.12496↗
   • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
6. İhsan Ekin Demir · 2 shared papers, 2023–2024 · strength 0.29
   • Paper Dynamics and cytokinic regulation of immune cell infiltration in genetically engineered mouse models of pancreatic canc… DOI 10.1002/cac2.12496↗
   • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
7. Hana Algül · 2 shared papers, 2023–2024 · strength 0.29
   • Paper Dynamics and cytokinic regulation of immune cell infiltration in genetically engineered mouse models of pancreatic canc… DOI 10.1002/cac2.12496↗
   • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
8. Guralp Onur Ceyhan · 2 shared papers, 2023–2024 · strength 0.29
   • Paper Dynamics and cytokinic regulation of immune cell infiltration in genetically engineered mouse models of pancreatic canc… DOI 10.1002/cac2.12496↗
   • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
9. Okan Safak · 1 shared paper, 2024 · strength 0.17
   • Paper Dynamics and cytokinic regulation of immune cell infiltration in genetically engineered mouse models of pancreatic canc… DOI 10.1002/cac2.12496↗
10. Stefanie Bärthel · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
11. Lei Ren · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
12. Marina Lesina · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
13. Maximilian Kießler · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
14. Alexander Muckenhuber · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
15. Achim Krüger · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
16. Maximilian Reichert · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
17. Kaan Çifcibaşı · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
18. Saliha Elif Yıldızhan · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
19. Xiaobo Wang · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
20. Roland Michael Schmid · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
21. Roland Rad · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗
22. Dieter Saur · 1 shared paper, 2023 · strength 0.12
    • Paper Phenotype screens of murine pancreatic cancer identify a Tgf-α-Ccl2-paxillin axis driving human-like neural invasion. DOI 10.1172/jci166333↗

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.