Pancreatic Cancer Research

ResearcherTongji UniversityNo recent work listed

Tao Chen

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

Matched on ORCID iD 0000-0002-1797-0359; OpenAlex author ID A5100357735. Sources: ClinicalTrials.gov.

Their work

Papers
7 (first author 1, last author 1)
Trials
1 (principal investigator on 1)
Grants
0
Labs led
0
Collaborators
14
Papers, trials and grants by year

2014: 1 paper · 2015: 3 papers · 2016: none · 2017: none · 2018: none · 2019: none · 2020: 1 paper · 2021: 1 trial · 2022: none · 2023: 2 papers

Papers 7

  1. Causality-Driven Graph Neural Network for Early Diagnosis of Pancreatic Cancer in Non-Contrast Computerized Tomography. Co-author DOI 10.1109/tmi.2023.3236162↗
  2. Development and validation of an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma. Co-author DOI 10.3389/fonc.2023.1074445↗
  3. Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis. Last author DOI 10.1186/s12885-020-07626-2↗
  4. Preoperative serum CA125 levels predict the prognosis in hyperbilirubinemia patients with resectable pancreatic ductal adenocarcinoma. Co-author DOI 10.1097/md.0000000000000751↗
  5. Retraction Notice to: Normalization of CA19-9 Following Resection for Pancreatic Ductal Adenocarcinoma is not Tantamount to being Cured? Co-author DOI 10.7314/apjcp.2015.16.13.5587↗
  6. Normalization of CA19-9 following resection for pancreatic ductal adenocarcinoma is not tantamount to being cured? Co-author DOI 10.7314/apjcp.2015.16.2.661↗
  7. Metabolic tumour burden assessed by ¹⁸F-FDG PET/CT associated with serum CA19-9 predicts pancreatic cancer outcome after resection. First author DOI 10.1007/s00259-014-2688-8↗

Trials 1

  1. Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data Principal investigator NCT05313854↗

Closest collaborators

The 14 strongest of 14 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Xiaohua Qian · 2 shared papers, 2023 · strength 0.46
  2. Yijue Zhang · 2 shared papers, 2020–2023 · strength 0.32
  3. Xianjun Yu · 4 shared papers, 2014–2015 · strength 0.24
  4. Xinyue Li · 1 shared paper, 2023 · strength 0.24
  5. Yingbin Liu · 1 shared paper, 2023 · strength 0.22
  6. Xinsen Xu · 1 shared paper, 2023 · strength 0.22
  7. Liang Liu · 3 shared papers, 2014–2015 · strength 0.17
  8. Wen-Quan Wang · 2 shared papers, 2014–2015 · strength 0.10
  9. Huaxiang Xu · 2 shared papers, 2014–2015 · strength 0.10
  10. Liang Liu · 1 shared paper, 2015 · strength 0.07
  11. Jin Xu · 1 shared paper, 2014 · strength 0.04
  12. Jiang Long · 1 shared paper, 2014 · strength 0.04
  13. Chuntao Wu · 1 shared paper, 2014 · strength 0.04
  14. Chen Liu · 1 shared paper, 2014 · strength 0.04

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.