ResearcherChinese Academy of Medical Sciences & Peking Union Medical CollegeActive in the last 2 years
Shuai Xiang
Matched on ORCID iD 0000-0002-5417-6445; OpenAlex author ID A5049215512. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 2, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 8
2025: 1 paper · 2026: 4 papers
Papers 5
- Predicting Synchronous Liver Metastasis in Pancreatic Cancer Using CT Radiomics and Clinical Features: A Machine Learning Approach. First author DOI 10.1016/j.acra.2026.08.028↗
- Metabolic signatures of lipid dysregulation and inflammation characterize pancreatic cancer risk in type 2 diabetes mellitus and improve risk stratification: a… Co-author DOI 10.1016/j.diabres.2026.113230↗
- Elevated circulating glycine levels are associated with reduced pancreatic cancer risk: A prospective cohort study based on the UK biobank. Co-author DOI 10.1016/j.pan.2025.12.015↗
- Association between female reproductive factors and new-onset pancreatic cancer risk: a prospective cohort study. Co-author DOI 10.1097/cej.0000000000000987↗
- Prevalence, clinicopathological features, and prognosis of diabetes in pancreatic cancer: A single-center retrospective cohort study of 1620 patients. First author DOI 10.1016/j.pan.2025.11.004↗
Closest collaborators
The 8 strongest of 8 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Xu Che · 4 shared papers, 2025–2026 · strength 1.26
- Paper Association between female reproductive factors and new-onset pancreatic cancer risk: a prospective cohort study. DOI 10.1097/cej.0000000000000987↗
- Paper Elevated circulating glycine levels are associated with reduced pancreatic cancer risk: A prospective cohort study base… DOI 10.1016/j.pan.2025.12.015↗
- Paper Metabolic signatures of lipid dysregulation and inflammation characterize pancreatic cancer risk in type 2 diabetes mel… DOI 10.1016/j.diabres.2026.113230↗
- Yunlong Li · 4 shared papers, 2025–2026 · strength 1.26
- Paper Association between female reproductive factors and new-onset pancreatic cancer risk: a prospective cohort study. DOI 10.1097/cej.0000000000000987↗
- Paper Elevated circulating glycine levels are associated with reduced pancreatic cancer risk: A prospective cohort study base… DOI 10.1016/j.pan.2025.12.015↗
- Paper Metabolic signatures of lipid dysregulation and inflammation characterize pancreatic cancer risk in type 2 diabetes mel… DOI 10.1016/j.diabres.2026.113230↗
- Yongxing Du · 4 shared papers, 2025–2026 · strength 1.26
- Paper Association between female reproductive factors and new-onset pancreatic cancer risk: a prospective cohort study. DOI 10.1097/cej.0000000000000987↗
- Paper Elevated circulating glycine levels are associated with reduced pancreatic cancer risk: A prospective cohort study base… DOI 10.1016/j.pan.2025.12.015↗
- Paper Metabolic signatures of lipid dysregulation and inflammation characterize pancreatic cancer risk in type 2 diabetes mel… DOI 10.1016/j.diabres.2026.113230↗
- Shanglong Liu · 2 shared papers, 2026 · strength 0.63
- Paper Predicting Synchronous Liver Metastasis in Pancreatic Cancer Using CT Radiomics and Clinical Features: A Machine Learni… DOI 10.1016/j.acra.2026.08.028↗
- Paper Metabolic signatures of lipid dysregulation and inflammation characterize pancreatic cancer risk in type 2 diabetes mel… DOI 10.1016/j.diabres.2026.113230↗
- Chengfeng Wang · 2 shared papers, 2025–2026 · strength 0.59
- Paper Elevated circulating glycine levels are associated with reduced pancreatic cancer risk: A prospective cohort study base… DOI 10.1016/j.pan.2025.12.015↗
- Paper Prevalence, clinicopathological features, and prognosis of diabetes in pancreatic cancer: A single-center retrospective… DOI 10.1016/j.pan.2025.11.004↗
- Yuzhe Han · 1 shared paper, 2026 · strength 0.32
- Shuisheng Zhang · 1 shared paper, 2025 · strength 0.26
- Shunda Wang · 1 shared paper, 2025 · strength 0.26
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.