ResearcherAffiliated Hospital of Qingdao UniversityActive in the last 2 years

Yukun Liu

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

Matched on ORCID iD 0000-0002-6035-7920; OpenAlex author ID A5100778209. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 4

Papers, trials and grants by year

2025: 2 papers

Papers 2

Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic cancer. Co-author DOI 10.1007/s12672-025-01910-y ↗
Potentially diagnostic and prognostic roles of piRNAs/PIWIs in pancreatic cancer: A review. Co-author DOI 10.1016/j.bbcan.2025.189286 ↗

Closest collaborators

The 4 strongest of 4 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Zusen Wang · 2 shared papers, 2025 · strength 0.57
- Paper Potentially diagnostic and prognostic roles of piRNAs/PIWIs in pancreatic cancer: A review. DOI 10.1016/j.bbcan.2025.189286 ↗
- Paper Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic can… DOI 10.1007/s12672-025-01910-y ↗
Changlei Li · 2 shared papers, 2025 · strength 0.57
- Paper Potentially diagnostic and prognostic roles of piRNAs/PIWIs in pancreatic cancer: A review. DOI 10.1016/j.bbcan.2025.189286 ↗
- Paper Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic can… DOI 10.1007/s12672-025-01910-y ↗
Chao Qu · 1 shared paper, 2025 · strength 0.27
- Paper Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic can… DOI 10.1007/s12672-025-01910-y ↗
Jingyu Cao · 1 shared paper, 2025 · strength 0.27
- Paper Machine learning model reveals the risk, prognosis, and drug response of histamine-related signatures in pancreatic can… DOI 10.1007/s12672-025-01910-y ↗

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.