Pancreatic Cancer Research

ResearcherShanghai Jiao Tong UniversityActive in the last 2 years

Yifan Zhang

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

Matched on ORCID iD 0000-0002-0152-2260, 0000-0002-0629-0200; OpenAlex author ID A5088614322, A5100376929. Sources: OpenAlex.

Their work

Papers
3 (first author 1, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
12
Papers, trials and grants by year

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

Papers 3

  1. Development of a CT radiomics nomogram for preoperative prediction of differentiation grading in pancreatic ductal adenocarcinoma: a two-center retrospective s… First author DOI 10.1186/s12876-026-04909-z↗
  2. Identification of matrix-remodeling associated 5 as a possible molecular oncotarget of pancreatic cancer. Co-author DOI 10.1038/s41419-023-05684-5↗
  3. Targeting the tumor microenvironment for pancreatic ductal adenocarcinoma therapy. Co-author DOI 10.21037/cco.2019.03.02↗

Closest collaborators

The 12 strongest of 12 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Jianmin Wu · 1 shared paper, 2026 · strength 0.43
  2. Jian He · 1 shared paper, 2026 · strength 0.43
  3. Zhen-yu Ye · 1 shared paper, 2023 · strength 0.20
  4. Shi-qing Peng · 1 shared paper, 2023 · strength 0.20
  5. Min‐Bin Chen · 1 shared paper, 2023 · strength 0.20
  6. Xiaoren Zhu · 1 shared paper, 2023 · strength 0.20
  7. Xueli Zhang · 1 shared paper, 2019 · strength 0.10
  8. Zhigang Zhang · 1 shared paper, 2019 · strength 0.10
  9. Xu Wang · 1 shared paper, 2019 · strength 0.10
  10. Li-Peng Hu · 1 shared paper, 2019 · strength 0.10
  11. Hui Nie · 1 shared paper, 2019 · strength 0.10
  12. Shu‐Heng Jiang · 1 shared paper, 2019 · strength 0.10

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.