ResearcherChinese Academy of Medical Sciences & Peking Union Medical CollegeActive in the last 2 years
Dongfeng Song
Matched on OpenAlex author ID A5133632346. Sources: OpenAlex.
Their work
- Papers
- 2
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 6
2026: 2 papers
Papers 2
- Dynamics of Circulating Tumor DNA (ctDNA) Predict Treatment Efficacy and Prognosis in Patients With Advanced Pancreatic Cancer: A Prospective Large-Cohort Stud… Co-author DOI 10.1002/mco2.70829↗
- Inhibition of Gemcitabine-Induced Autophagy in Cancer-Associated Fibroblasts Reduces Collagen I and Enhances Chemotherapeutic Efficacy in Pancreatic Cancer. Co-author DOI 10.1177/15473287261442512↗
Closest collaborators
The 6 strongest of 6 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Tingting You · 2 shared papers, 2026 · strength 0.60
- Paper Inhibition of Gemcitabine-Induced Autophagy in Cancer-Associated Fibroblasts Reduces Collagen I and Enhances Chemothera… DOI 10.1177/15473287261442512↗
- Paper Dynamics of Circulating Tumor DNA (ctDNA) Predict Treatment Efficacy and Prognosis in Patients With Advanced Pancreatic… DOI 10.1002/mco2.70829↗
- Hui Tang · 2 shared papers, 2026 · strength 0.60
- Paper Inhibition of Gemcitabine-Induced Autophagy in Cancer-Associated Fibroblasts Reduces Collagen I and Enhances Chemothera… DOI 10.1177/15473287261442512↗
- Paper Dynamics of Circulating Tumor DNA (ctDNA) Predict Treatment Efficacy and Prognosis in Patients With Advanced Pancreatic… DOI 10.1002/mco2.70829↗
- Chunmei Bai · 2 shared papers, 2026 · strength 0.60
- Paper Inhibition of Gemcitabine-Induced Autophagy in Cancer-Associated Fibroblasts Reduces Collagen I and Enhances Chemothera… DOI 10.1177/15473287261442512↗
- Paper Dynamics of Circulating Tumor DNA (ctDNA) Predict Treatment Efficacy and Prognosis in Patients With Advanced Pancreatic… DOI 10.1002/mco2.70829↗
- Robert Chunhua Zhao · 1 shared paper, 2026 · strength 0.32
- Yingyi Wang · 1 shared paper, 2026 · strength 0.29
- Yuejuan Cheng · 1 shared paper, 2026 · strength 0.29
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.