ResearcherYamagata UniversityActive in the last 2 years
Soshi Oyama
Matched on OpenAlex author ID A5113131486, A5114193381. Sources: OpenAlex.
Their work
- Papers
- 2
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 3
2024: 1 paper · 2025: 1 paper
Papers 2
- Pancreatic cancer organoids derived from EUS-guided fine needle aspiration specimens can be used to predict chemotherapy resistance. Co-author DOI 10.1038/s41598-025-09395-z↗
- Differentiating localized autoimmune pancreatitis and pancreatic ductal adenocarcinoma using endoscopic ultrasound images with deep learning. Co-author DOI 10.1002/deo2.344↗
Closest collaborators
The 3 strongest of 3 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Yoshiyuki Ueno · 2 shared papers, 2024–2025 · strength 0.41
- Paper Pancreatic cancer organoids derived from EUS-guided fine needle aspiration specimens can be used to predict chemotherap… DOI 10.1038/s41598-025-09395-z↗
- Paper Differentiating localized autoimmune pancreatitis and pancreatic ductal adenocarcinoma using endoscopic ultrasound imag… DOI 10.1002/deo2.344↗
- Yasuharu Kakizaki · 2 shared papers, 2024–2025 · strength 0.41
- Paper Pancreatic cancer organoids derived from EUS-guided fine needle aspiration specimens can be used to predict chemotherap… DOI 10.1038/s41598-025-09395-z↗
- Paper Differentiating localized autoimmune pancreatitis and pancreatic ductal adenocarcinoma using endoscopic ultrasound imag… DOI 10.1002/deo2.344↗
- Hitomi Nakamura · 2 shared papers, 2024–2025 · strength 0.41
- Paper Pancreatic cancer organoids derived from EUS-guided fine needle aspiration specimens can be used to predict chemotherap… DOI 10.1038/s41598-025-09395-z↗
- Paper Differentiating localized autoimmune pancreatitis and pancreatic ductal adenocarcinoma using endoscopic ultrasound imag… DOI 10.1002/deo2.344↗
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.