ResearcherUniversity of Science and Technology of ChinaActive in the last 2 years
Hongji Zhu
Matched on OpenAlex author ID A5129950043. Sources: OpenAlex.
Their work
- Papers
- 3
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 6
2026: 3 papers
Papers 3
- Model construction and validation of dual-energy CT multi-parameters combined with clinical indicators for predicting lymph node metastasis in pancreatic ducta… Co-author DOI 10.1186/s12880-026-02765-7↗
- Dual-energy CT extracellular volume fraction for predicting the chemotherapeutic response in pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s40644-026-01110-z↗
- A MyCAF-Based Signature for Prognosis, Immune Landscape, and Therapeutic Response in Pancreatic Cancer Co-author DOI 10.21203/rs.3.rs-8878509/v1↗
Closest collaborators
The 6 strongest of 6 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Shuai Ming · 3 shared papers, 2026 · strength 0.82
- Paper Model construction and validation of dual-energy CT multi-parameters combined with clinical indicators for predicting l… DOI 10.1186/s12880-026-02765-7↗
- Paper A MyCAF-Based Signature for Prognosis, Immune Landscape, and Therapeutic Response in Pancreatic Cancer DOI 10.21203/rs.3.rs-8878509/v1↗
- Paper Dual-energy CT extracellular volume fraction for predicting the chemotherapeutic response in pancreatic ductal adenocar… DOI 10.1186/s40644-026-01110-z↗
- Dan Shi · 2 shared papers, 2026 · strength 0.53
- Paper A MyCAF-Based Signature for Prognosis, Immune Landscape, and Therapeutic Response in Pancreatic Cancer DOI 10.21203/rs.3.rs-8878509/v1↗
- Paper Dual-energy CT extracellular volume fraction for predicting the chemotherapeutic response in pancreatic ductal adenocar… DOI 10.1186/s40644-026-01110-z↗
- Wei Wei · 1 shared paper, 2026 · strength 0.29
- Wei Wei · 1 shared paper, 2026 · strength 0.27
- Wei Wei · 1 shared paper, 2026 · strength 0.26
- Ben Zhao · 1 shared paper, 2026 · 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.