ResearcherUniversity of Hawaiʻi at MānoaActive in the last 2 years
Shuai Liu
Matched on ORCID iD 0000-0003-2244-2216; OpenAlex author ID A5100320513. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 4, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 16
2022: 2 papers · 2023: 2 papers · 2024: 3 papers
Papers 7
- Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk. Co-author DOI 10.1002/ijc.34761↗
- Elucidating the role of blood metabolites on pancreatic cancer risk using two-sample Mendelian randomization analysis. First author DOI 10.1002/ijc.34771↗
- Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma. Co-author DOI 10.1093/gigascience/giae012↗
- Associations between genetically predicted levels of blood metabolites and pancreatic cancer risk. First author DOI 10.1002/ijc.34466↗
- The added value of [68Ga]Ga-DOTA-FAPI-04 PET/CT in pancreatic cancer: a comparison to [18F]F-FDG. Co-author DOI 10.1007/s00330-023-09445-y↗
- Clinical diagnosis and management of pancreatic cancer: Markers, molecular mechanisms, and treatment options. First author DOI 10.3748/wjg.v28.i48.6827↗
- Crosstalk between gut microbiota and COVID-19 impacts pancreatic cancer progression. First author DOI 10.4251/wjgo.v14.i8.1456↗
Closest collaborators
The 16 strongest of 16 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Lang Wu · 4 shared papers, 2023–2024 · strength 0.94
- Paper Associations between genetically predicted levels of blood metabolites and pancreatic cancer risk. DOI 10.1002/ijc.34466↗
- Paper Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk. DOI 10.1002/ijc.34761↗
- Paper Elucidating the role of blood metabolites on pancreatic cancer risk using two-sample Mendelian randomization analysis. DOI 10.1002/ijc.34771↗
- Jingjing Zhu · 4 shared papers, 2023–2024 · strength 0.94
- Paper Associations between genetically predicted levels of blood metabolites and pancreatic cancer risk. DOI 10.1002/ijc.34466↗
- Paper Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk. DOI 10.1002/ijc.34761↗
- Paper Elucidating the role of blood metabolites on pancreatic cancer risk using two-sample Mendelian randomization analysis. DOI 10.1002/ijc.34771↗
- Hua Zhong · 3 shared papers, 2024 · strength 0.68
- Paper Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk. DOI 10.1002/ijc.34761↗
- Paper Elucidating the role of blood metabolites on pancreatic cancer risk using two-sample Mendelian randomization analysis. DOI 10.1002/ijc.34771↗
- Paper Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocar… DOI 10.1093/gigascience/giae012↗
- Ming Jun Yang · 2 shared papers, 2022 · strength 0.52
- Chunye Zhang · 2 shared papers, 2022 · strength 0.52
- Youping Deng · 2 shared papers, 2024 · strength 0.42
- Paper Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk. DOI 10.1002/ijc.34761↗
- Paper Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocar… DOI 10.1093/gigascience/giae012↗
- Hua Zhong · 1 shared paper, 2023 · strength 0.26
- Herbert Yu · 1 shared paper, 2024 · strength 0.26
- Qiufang Liu · 1 shared paper, 2023 · strength 0.18
- Shaoli Song · 1 shared paper, 2023 · strength 0.18
- Xianjun Yu · 1 shared paper, 2023 · strength 0.18
- Si Shi · 1 shared paper, 2023 · strength 0.18
- Qizhi Cathy Yao · 1 shared paper, 2024 · strength 0.16
- Dalia H. Ghoneim · 1 shared paper, 2024 · strength 0.16
- Tanxin Liu · 1 shared paper, 2024 · strength 0.16
- Tao Liu · 1 shared paper, 2024 · strength 0.16
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.