Pancreatic Cancer Research

ResearcherMackay Memorial HospitalActive in the last 2 years

Pei‐Ming Yang

Matched on ORCID iD 0000-0002-4004-2518; OpenAlex author ID A5034407820. Sources: OpenAlex.

Their work

Papers
8 (first author 2, last author 5)
Trials
0
Grants
0
Labs led
1
Collaborators
7
Papers, trials and grants by year

2019: 1 paper · 2020: 2 papers · 2021: none · 2022: 1 paper · 2023: none · 2024: none · 2025: 3 papers · 2026: 1 paper

Papers 8

  1. Fedratinib induces non-classical G2/M arrest via mitotic-kinase inhibition and synergizes with mitomycin C to suppress pancreatic ductal adenocarcinoma. First author DOI 10.1158/1535-7163.mct-26-0137↗
  2. A machine learning framework using urinary biomarkers for pancreatic ductal adenocarcinoma prediction with post hoc validation via single-cell transcriptomics. Co-author DOI 10.1093/bib/bbaf583↗
  3. Hypoxia-induced MIR31HG expression promotes partial EMT and basal-like phenotype in pancreatic ductal adenocarcinoma based on data mining and experimental anal… First author DOI 10.1186/s12967-025-06292-x↗
  4. Dasatinib inhibits PD-L1 expression via a proteasomal pathway in pancreatic ductal adenocarcinoma cells. Last author DOI 10.7150/jca.124262↗
  5. Long Non-Coding RNA MIR31HG Promotes the Transforming Growth Factor β-Induced Epithelial-Mesenchymal Transition in Pancreatic Ductal Adenocarcinoma Cells. Last author DOI 10.3390/ijms23126559↗
  6. CDKN2A-Inactivated Pancreatic Ductal Adenocarcinoma Exhibits Therapeutic Sensitivity to Paclitaxel: A Bioinformatics Study. Last author DOI 10.3390/jcm9124019↗
  7. Bioinformatics Data Mining Repurposes the JAK2 (Janus Kinase 2) Inhibitor Fedratinib for Treating Pancreatic Ductal Adenocarcinoma by Reversing the KRAS (Kirst… Last author DOI 10.3390/jpm10030130↗
  8. Integration of Bioinformatics Resources Reveals the Therapeutic Benefits of Gemcitabine and Cell Cycle Intervention in SMAD4-Deleted Pancreatic Ductal Adenocar… Last author DOI 10.3390/genes10100766↗

Closest collaborators

The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Ching‐Chung Ko · 3 shared papers, 2022–2025 · strength 1.22
  2. Hui-Ying Li · 1 shared paper, 2026 · strength 0.63
  3. Yao‐Yu Hsieh · 3 shared papers, 2019–2022 · strength 0.56
  4. Ngoc Uyen Nhi Nguyen · 1 shared paper, 2025 · strength 0.22
  5. Dahlak Daniel Solomon · 1 shared paper, 2025 · strength 0.22
  6. Jiunn-Chang Lin · 1 shared paper, 2020 · strength 0.19
  7. Li-Wei Liu · 1 shared paper, 2020 · strength 0.19

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.