ResearcherShanghai Medical College of Fudan UniversityActive in the last 2 years
Jianjun Zhou
Matched on ORCID iD 0000-0003-4175-0513; OpenAlex author ID A5009308493. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 0, last author 1)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 10
2025: 3 papers · 2026: 2 papers
Papers 5
- Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in pancreatic cancer. Co-author DOI 10.1016/j.ejrad.2026.113075↗
- A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes following chemoimmunotherapy in pancreatic d… Co-author DOI 10.1016/j.ejrad.2026.113228↗
- Preoperative MRI and CA19-9 for predicting occult lymph node metastasis in small pancreatic ductal adenocarcinoma (≤ 2 cm). Last author DOI 10.1186/s12880-025-01854-3↗
- Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s13244-025-01956-0↗
- Correction: Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pancreatic ductal adenocarcino… Co-author DOI 10.1186/s13244-025-01973-z↗
Closest collaborators
The 10 strongest of 10 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Junjian Shen · 4 shared papers, 2025–2026 · strength 0.97
- Paper Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in panc… DOI 10.1016/j.ejrad.2026.113075↗
- Paper A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes foll… DOI 10.1016/j.ejrad.2026.113228↗
- Paper Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pa… DOI 10.1186/s13244-025-01956-0↗
- Haitao Sun · 4 shared papers, 2025–2026 · strength 0.97
- Paper Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in panc… DOI 10.1016/j.ejrad.2026.113075↗
- Paper A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes foll… DOI 10.1016/j.ejrad.2026.113228↗
- Paper Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pa… DOI 10.1186/s13244-025-01956-0↗
- Qiying Tang · 3 shared papers, 2025–2026 · strength 0.79
- Paper Preoperative MRI and CA19-9 for predicting occult lymph node metastasis in small pancreatic ductal adenocarcinoma (≤ 2 … DOI 10.1186/s12880-025-01854-3↗
- Paper Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in panc… DOI 10.1016/j.ejrad.2026.113075↗
- Paper A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes foll… DOI 10.1016/j.ejrad.2026.113228↗
- Zongyu Xie · 3 shared papers, 2025–2026 · strength 0.71
- Paper A biologically Interpretable CT radiomic model Predicts tertiary lymphoid structure status and Stratifies outcomes foll… DOI 10.1016/j.ejrad.2026.113228↗
- Paper Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pa… DOI 10.1186/s13244-025-01956-0↗
- Paper Correction: Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in r… DOI 10.1186/s13244-025-01973-z↗
- Yaolin Xu · 2 shared papers, 2025 · strength 0.45
- Paper Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in resectable pa… DOI 10.1186/s13244-025-01956-0↗
- Paper Correction: Contrast-enhanced MRI-based intratumoral heterogeneity assessment for predicting lymph node metastasis in r… DOI 10.1186/s13244-025-01973-z↗
- Lei Li · 1 shared paper, 2025 · strength 0.27
- 赵灿灿 · 1 shared paper, 2026 · strength 0.26
- Lingling Wang · 1 shared paper, 2026 · strength 0.26
- J J Li · 1 shared paper, 2026 · strength 0.26
- Lei Li · 1 shared paper, 2025 · strength 0.22
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.