ResearcherFirst Affiliated Hospital of GuangXi Medical UniversityActive in the last 2 years
Yun He
Matched on ORCID iD 0009-0008-0332-8104; OpenAlex author ID A5101900390. Sources: OpenAlex.
Their work
- Papers
- 4
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 6
2024: 1 paper · 2025: 2 papers · 2026: 1 paper
Papers 4
- Nuclear uPA as a transcription regulator in parenchymal cells promotes Schwann cell-mediated perineural invasion in pancreatic ductal adenocarcinoma Co-author DOI 10.21203/rs.3.rs-9820104/v1↗
- Clinical benefits of deep learning-assisted ultrasound in predicting lymph node metastasis in pancreatic cancer patients. Co-author DOI 10.1080/14796694.2025.2520149↗
- The supporting role of Schwann cells in perineural invasion of pancreatic ductal adenocarcinoma. Co-author DOI 10.3389/fphar.2025.1540027↗
- Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model. Co-author DOI 10.1186/s12938-024-01259-3↗
Closest collaborators
The 6 strongest of 6 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Fangfei Li · 2 shared papers, 2025–2026 · strength 0.53
- Aiping Lü · 2 shared papers, 2025–2026 · strength 0.53
- Dong‐yue Wen · 2 shared papers, 2024–2025 · strength 0.50
- Paper Clinical benefits of deep learning-assisted ultrasound in predicting lymph node metastasis in pancreatic cancer patient… DOI 10.1080/14796694.2025.2520149↗
- Paper Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine… DOI 10.1186/s12938-024-01259-3↗
- Hong Yang · 2 shared papers, 2024–2025 · strength 0.50
- Paper Clinical benefits of deep learning-assisted ultrasound in predicting lymph node metastasis in pancreatic cancer patient… DOI 10.1080/14796694.2025.2520149↗
- Paper Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine… DOI 10.1186/s12938-024-01259-3↗
- Zhaoliang Su · 1 shared paper, 2025 · strength 0.24
- Fadian Ding · 1 shared paper, 2025 · strength 0.24
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.