ResearcherWenzhou Medical UniversityActive in the last 2 years
Guang Jer Wu
Matched on ORCID iD 0000-0002-6162-500X; OpenAlex author ID A5040269369. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 0, last author 1)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 6
2018: 2 papers · 2019: none · 2020: none · 2021: none · 2022: 1 paper · 2023: none · 2024: none · 2025: 1 paper · 2026: 1 paper
Papers 5
- Gomisin G Inhibits Pancreatic Cancer Cell Growth by Promoting YAP Degradation. Last author DOI 10.1002/fsn3.72111↗
- Comprehensive analysis identifies AMIGO2 as a potential prognosis biomarker of pancreatic adenocarcinoma. Co-author DOI 10.21037/jgo-2025-7↗
- Therapeutic effect of a MUC1-specific monoclonal antibody-drug conjugates against pancreatic cancer model. Co-author DOI 10.1186/s12935-022-02839-w↗
- A peptide-CpG-DNA-liposome complex vaccine targeting TM4SF5 suppresses growth of pancreatic cancer in a mouse allograft model. Co-author DOI 10.2147/ott.s186606↗
- A Novel Monoclonal Antibody Targets Mucin1 and Attenuates Growth in Pancreatic Cancer Model. Co-author DOI 10.3390/ijms19072004↗
Closest collaborators
The 6 strongest of 6 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Lan Li · 3 shared papers, 2022–2026 · strength 0.69
- Paper Gomisin G Inhibits Pancreatic Cancer Cell Growth by Promoting YAP Degradation. DOI 10.1002/fsn3.72111↗
- Paper Comprehensive analysis identifies AMIGO2 as a potential prognosis biomarker of pancreatic adenocarcinoma. DOI 10.21037/jgo-2025-7↗
- Paper Therapeutic effect of a MUC1-specific monoclonal antibody-drug conjugates against pancreatic cancer model. DOI 10.1186/s12935-022-02839-w↗
- Haihua Gu · 2 shared papers, 2022–2026 · strength 0.43
- Jiawei Cao · 2 shared papers, 2022–2025 · strength 0.40
- Hyung‐Joo Kwon · 2 shared papers, 2018 · strength 0.17
- Younghee Lee · 2 shared papers, 2018 · strength 0.17
- Sangkyu Park · 1 shared paper, 2018 · strength 0.09
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.