Qi Wang

Closest collaborators

The 10 strongest of 10 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Jiajia Tang · 3 shared papers, 2023–2025 · strength 0.54
   • Paper Single-cell omics: a new perspective for early detection of pancreatic cancer? DOI 10.1016/j.ejca.2023.112940↗
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
2. Berina Šabanović · 3 shared papers, 2023–2025 · strength 0.54
   • Paper Single-cell omics: a new perspective for early detection of pancreatic cancer? DOI 10.1016/j.ejca.2023.112940↗
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
3. Christopher Heeschen · 3 shared papers, 2023–2025 · strength 0.54
   • Paper Single-cell omics: a new perspective for early detection of pancreatic cancer? DOI 10.1016/j.ejca.2023.112940↗
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
4. Elisabetta Fenocchio · 2 shared papers, 2024–2025 · strength 0.33
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
5. Yaru Zhao · 2 shared papers, 2024–2025 · strength 0.33
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
6. Da Fu · 2 shared papers, 2024–2025 · strength 0.33
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
7. Quan Zheng · 2 shared papers, 2024–2025 · strength 0.33
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
8. Chenlei Wen · 2 shared papers, 2024–2025 · strength 0.33
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
9. Baiyong Shen · 2 shared papers, 2024–2025 · strength 0.33
   • Paper Protocol for the creation and utilization of 3D pancreatic cancer models from circulating tumor cells. DOI 10.1016/j.xpro.2025.103635↗
   • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗
10. Ke Jiang · 1 shared paper, 2024 · strength 0.15
    • Paper CTC-derived pancreatic cancer models serve as research tools and are suitable for precision medicine approaches. DOI 10.1016/j.xcrm.2024.101692↗

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.