Pancreatic Cancer Research

ResearcherQiqihar Medical UniversityActive in the last 2 years

Guangyue Shi

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0009-0003-4442-370X; OpenAlex author ID A5004576679. Sources: OpenAlex.

Their work

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

2023: 2 papers · 2024: 1 paper · 2025: 2 papers

Papers 5

  1. pH/GSH Dual-Responsive Janus-Type Au@H-MP@DOX MR Molecular Imaging Nanomotor for Combined Photothermal/Chemotherapeutic Treatment of Pancreatic Cancer. Co-author DOI 10.1021/acs.molpharmaceut.5c00542↗
  2. Multimodal Imaging-Guided Tumor Microenvironment-Responsive Nanoplatform for Synergistic Therapy of Pancreatic Cancer. Co-author DOI 10.2147/ijn.s542677↗
  3. Gelatin-coated glutathione depletion and oxygen generators in potentiated chemotherapy for pancreatic cancer. Co-author DOI 10.1016/j.ijbiomac.2024.135973↗
  4. A Novel pH-Responsive Iron Oxide Core-Shell Magnetic Mesoporous Silica Nanoparticle (M-MSN) System Encapsulating Doxorubicin (DOX) and Glucose Oxidase (Gox) fo… First author DOI 10.2147/ijn.s436253↗
  5. cRGD-Conjugated GdIO Nanoclusters for the Theranostics of Pancreatic Cancer through the Combination of T1-T2 Dual-Modal MRI and DTX Delivery. Co-author DOI 10.3390/molecules28166134↗

Closest collaborators

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

  1. Liguo Hao · 4 shared papers, 2023–2025 · strength 0.89
  2. Na Li · 2 shared papers, 2024–2025 · strength 0.51
  3. Hao Zhang · 2 shared papers, 2024–2025 · strength 0.47
  4. Guiqiang Qi · 2 shared papers, 2023 · strength 0.38
  5. Shengchao Wang · 2 shared papers, 2023 · strength 0.38
  6. Liguo Hao · 1 shared paper, 2025 · strength 0.24
  7. Na Li · 1 shared paper, 2023 · strength 0.18

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.