ResearcherWuhan Union HospitalNo recent work listed
Ping Han
Matched on ORCID iD 0000-0003-3736-6340; OpenAlex author ID A5100454727. Sources: OpenAlex.
Their work
- Papers
- 3 (first author 1, last author 1)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 8
2021: 1 paper · 2022: none · 2023: 2 papers
Papers 3
- Colon Metastasis from Pancreatic Cancer: A Case Report. First author DOI 10.2147/ott.s419493↗
- Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal adenocarcinoma. Last author DOI 10.3389/fonc.2023.1218128↗
- Pancreatic Ductal Adenocarcinoma at CT: A Combined Nomogram Model to Preoperatively Predict Cancer Stage and Survival Outcome. Co-author DOI 10.3389/fonc.2021.594510↗
Closest collaborators
The 8 strongest of 8 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Chunyuan Cen · 2 shared papers, 2021–2023 · strength 0.29
- Paper Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal … DOI 10.3389/fonc.2023.1218128↗
- Paper Pancreatic Ductal Adenocarcinoma at CT: A Combined Nomogram Model to Preoperatively Predict Cancer Stage and Survival O… DOI 10.3389/fonc.2021.594510↗
- Heshui Wu · 2 shared papers, 2021–2023 · strength 0.29
- Paper Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal … DOI 10.3389/fonc.2023.1218128↗
- Paper Pancreatic Ductal Adenocarcinoma at CT: A Combined Nomogram Model to Preoperatively Predict Cancer Stage and Survival O… DOI 10.3389/fonc.2021.594510↗
- Chunyou Wang · 2 shared papers, 2021–2023 · strength 0.29
- Paper Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal … DOI 10.3389/fonc.2023.1218128↗
- Paper Pancreatic Ductal Adenocarcinoma at CT: A Combined Nomogram Model to Preoperatively Predict Cancer Stage and Survival O… DOI 10.3389/fonc.2021.594510↗
- Jingmei Liu · 1 shared paper, 2023 · strength 0.24
- Nan Meng · 1 shared paper, 2023 · strength 0.24
- Ling Ma · 1 shared paper, 2023 · strength 0.17
- Linxia Wu · 1 shared paper, 2023 · strength 0.17
- Siqi Wang · 1 shared paper, 2021 · strength 0.13
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.