Pancreatic Cancer Research

ResearcherSun Yat-sen UniversityActive in the last 2 years

Yanji Luo

Matched on ORCID iD 0000-0002-8514-020X; OpenAlex author ID A5013320229. Sources: OpenAlex.

Their work

Papers
9 (first author 1, last author 2)
Trials
0
Grants
0
Labs led
1
Collaborators
15
Papers, trials and grants by year

2022: 1 paper · 2023: 2 papers · 2024: 1 paper · 2025: 2 papers · 2026: 3 papers

Papers 9

  1. Dual-layer spectral detector CT: a non-invasive tool for simultaneously predicting Ki-67 proliferation status and p53 mutations in pancreatic ductal adenocarci… Last author DOI 10.1007/s00261-025-05115-3↗
  2. Preoperative prediction of perineural invasion in pancreatic ductal adenocarcinoma using dual-layer spectral CT. Last author DOI 10.1007/s00261-026-05529-7↗
  3. Tumour mutation burden drives survival outcomes in pancreatic ductal adenocarcinoma and enables noninvasive prediction via dual-layer spectral CT. Co-author DOI 10.1186/s13244-026-02216-5↗
  4. Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adenocarcinoma. Co-author DOI 10.1097/js9.0000000000002059↗
  5. Thin-slice T2-weighted images and deep-learning-based super-resolution reconstruction: improved preoperative assessment of vascular invasion for pancreatic duc… Co-author DOI 10.1186/s13244-025-02022-5↗
  6. Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases… Co-author DOI 10.1097/js9.0000000000001213↗
  7. Preoperative assessment of peripheral vascular invasion of pancreatic ductal adenocarcinoma based on high-resolution MRI. Co-author DOI 10.1186/s12885-023-11451-8↗
  8. Development and validation of a radiomics model of magnetic resonance for predicting liver metastasis in resectable pancreatic ductal adenocarcinoma patients. Co-author DOI 10.1186/s13014-023-02273-w↗
  9. Tumor fibrosis correlates with the survival of patients with pancreatic adenocarcinoma and is predictable using clinicoradiological features. First author DOI 10.1007/s00330-022-08745-z↗

Closest collaborators

The 15 strongest of 15 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Shi‐Ting Feng · 7 shared papers, 2022–2026 · strength 1.59
  2. Siya Shi · 6 shared papers, 2022–2026 · strength 1.47
  3. Jiawei Liu · 3 shared papers, 2025–2026 · strength 0.82
  4. Jian Zhang · 2 shared papers, 2024–2025 · strength 0.44
  5. Xiaoqi Zhou · 2 shared papers, 2023–2025 · strength 0.41
  6. Jiaxin Yuan · 1 shared paper, 2026 · strength 0.29
  7. Shurui Zhou · 1 shared paper, 2023 · strength 0.18
  8. Yuzhou Huang · 1 shared paper, 2023 · strength 0.18
  9. Jinmao Zou · 1 shared paper, 2023 · strength 0.18
  10. Guoda Lian · 1 shared paper, 2023 · strength 0.18
  11. Shaojie Chen · 1 shared paper, 2023 · strength 0.18
  12. Yaqing Li · 1 shared paper, 2023 · strength 0.18
  13. Kaihong Huang · 1 shared paper, 2023 · strength 0.18
  14. Ming Gao · 1 shared paper, 2023 · strength 0.18
  15. Ziping Li · 1 shared paper, 2022 · strength 0.16

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.