ResearcherSecond Military Medical UniversityActive in the last 2 years

Congjia Ma

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0002-2242-0634; OpenAlex author ID A5047637618. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 4

Papers, trials and grants by year

2025: 2 papers

Papers 2

Acinar cells modulate the tumor microenvironment through the promotion of M1 macrophage polarization via macrophage endocytosis in pancreatic cancer. Co-author DOI 10.1007/s12672-025-02244-5 ↗
MicroRNA Classifier Based on EUS-FNA for the Early Detection of Occult Liver Metastasis in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1097/sla.0000000000006755 ↗

Closest collaborators

The 4 strongest of 4 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Xiangyu Kong · 2 shared papers, 2025 · strength 0.50
- Paper Acinar cells modulate the tumor microenvironment through the promotion of M1 macrophage polarization via macrophage end… DOI 10.1007/s12672-025-02244-5 ↗
- Paper MicroRNA Classifier Based on EUS-FNA for the Early Detection of Occult Liver Metastasis in Pancreatic Ductal Adenocarci… DOI 10.1097/sla.0000000000006755 ↗
Xiulin Hu · 1 shared paper, 2025 · strength 0.28
- Paper Acinar cells modulate the tumor microenvironment through the promotion of M1 macrophage polarization via macrophage end… DOI 10.1007/s12672-025-02244-5 ↗
Zhaoshen Li · 1 shared paper, 2025 · strength 0.21
- Paper MicroRNA Classifier Based on EUS-FNA for the Early Detection of Occult Liver Metastasis in Pancreatic Ductal Adenocarci… DOI 10.1097/sla.0000000000006755 ↗
Xiulin Hu · 1 shared paper, 2025 · strength 0.21
- Paper MicroRNA Classifier Based on EUS-FNA for the Early Detection of Occult Liver Metastasis in Pancreatic Ductal Adenocarci… DOI 10.1097/sla.0000000000006755 ↗

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.