Pancreatic Cancer Research

ResearcherSecond Military Medical UniversityActive in the last 2 years

Jianping Lu

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

Matched on ORCID iD 0000-0003-1393-9212; OpenAlex author ID A5102980626. Sources: OpenAlex.

Their work

Papers
10 (first author 0, last author 1)
Trials
0
Grants
0
Labs led
0
Collaborators
25
Papers, trials and grants by year

2019: 1 paper · 2020: none · 2021: 1 paper · 2022: 2 papers · 2023: 4 papers · 2024: none · 2025: 1 paper · 2026: 1 paper

Papers 10

  1. Anatomy-informed CT Spatial Phenotype Associated with Extrapancreatic Perineural Invasion in Resected Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1148/ryai.260357↗
  2. A Novel Deep Learning-based Pathomics Score for Prognostic Stratification in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1097/mpa.0000000000002463↗
  3. Fully automated magnetic resonance imaging-based radiomics analysis for differentiating pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinom… Co-author DOI 10.1007/s00261-023-03801-8↗
  4. Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study. Co-author DOI 10.1097/sla.0000000000005465↗
  5. Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1148/radiol.220329↗
  6. Non-enhanced magnetic resonance imaging-based radiomics model for the differentiation of pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcino… Co-author DOI 10.3389/fonc.2023.1108545↗
  7. CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00261-022-03512-6↗
  8. Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients with chronic pancreatitis. Co-author DOI 10.1007/s00330-022-08698-3↗
  9. Tumor Budding Score Is a Strong and Independent Prognostic Factor in Patients With Pancreatic Ductal Adenocarcinoma: An Evaluation of Whole Slide Pathology Ima… Co-author DOI 10.3389/fonc.2021.740212↗
  10. Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma. Last author DOI 10.1097/mpa.0000000000001404↗

Closest collaborators

The 25 strongest of 25 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Yun Bian · 9 shared papers, 2019–2026 · strength 1.43
  2. Chengwei Shao · 8 shared papers, 2021–2026 · strength 1.35
  3. Jieyu Yu · 7 shared papers, 2022–2026 · strength 1.20
  4. Hui Jiang · 5 shared papers, 2019–2026 · strength 0.79
  5. Qi Li · 3 shared papers, 2022–2023 · strength 0.44
  6. Li Wang · 3 shared papers, 2019–2025 · strength 0.42
  7. Yinghao Meng · 3 shared papers, 2022–2023 · strength 0.41
  8. Ling Zhang · 2 shared papers, 2023 · strength 0.30
  9. Chengwei Chen · 1 shared paper, 2026 · strength 0.26
  10. Jianming Zheng · 2 shared papers, 2019–2021 · strength 0.23
  11. Kai Cao · 2 shared papers, 2019–2023 · strength 0.22
  12. Gang Jin · 2 shared papers, 2019–2023 · strength 0.22
  13. Wenbin Liu · 1 shared paper, 2025 · strength 0.20
  14. Jing Li · 1 shared paper, 2025 · strength 0.20
  15. Jie Fan · 1 shared paper, 2025 · strength 0.20
  16. Xinyue Zhang · 1 shared paper, 2025 · strength 0.20
  17. Jing Li · 1 shared paper, 2023 · strength 0.14
  18. Na Li · 1 shared paper, 2023 · strength 0.14
  19. Jiawen Yao · 1 shared paper, 2023 · strength 0.13
  20. Rong Zhang · 1 shared paper, 2023 · strength 0.13
  21. Yu Shi · 1 shared paper, 2023 · strength 0.13
  22. Feng Gao · 1 shared paper, 2023 · strength 0.13
  23. Jing Li · 1 shared paper, 2022 · strength 0.13
  24. Hao Zhang · 1 shared paper, 2022 · strength 0.13
  25. Suizhi Gao · 1 shared paper, 2019 · strength 0.08

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.