ResearcherFudan UniversityActive in the last 2 years

Ming Li

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0002-7608-2538; OpenAlex author ID A5100351462. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 5

Papers, trials and grants by year

2022: 1 paper · 2023: none · 2024: none · 2025: 1 paper

Papers 2

CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resectable pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00261-025-04798-y ↗
IPO7 promotes pancreatic cancer progression via regulating ERBB pathway. Co-author DOI 10.1016/j.clinsp.2022.100044 ↗

Closest collaborators

The 5 strongest of 5 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Chunjing Li · 1 shared paper, 2025 · strength 0.25
- Paper CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resec… DOI 10.1007/s00261-025-04798-y ↗
Jia-Hao Chen · 1 shared paper, 2025 · strength 0.25
- Paper CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resec… DOI 10.1007/s00261-025-04798-y ↗
Hong‐Fei Yao · 1 shared paper, 2025 · strength 0.25
- Paper CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resec… DOI 10.1007/s00261-025-04798-y ↗
Chongyi Jiang · 1 shared paper, 2025 · strength 0.25
- Paper CT-based machine learning radiomics predicts Ki-67 expression level and its relationship with overall survival in resec… DOI 10.1007/s00261-025-04798-y ↗
Shiyun Tan · 1 shared paper, 2022 · strength 0.22
- Paper IPO7 promotes pancreatic cancer progression via regulating ERBB pathway. DOI 10.1016/j.clinsp.2022.100044 ↗

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.