Pancreatic Cancer Research

ResearcherShanghai Medical College of Fudan UniversityNo recent work listed

Juan Zhang

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0002-4974-4540; OpenAlex author ID A5100390032. Sources: OpenAlex.

Their work

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

2013: 2 papers · 2014: none · 2015: none · 2016: none · 2017: none · 2018: none · 2019: none · 2020: none · 2021: none · 2022: none · 2023: 1 paper

Papers 3

  1. [The role of cholesterol metabolism reprogramming in pancreatic cancer and the application of cholesterol-targeted metabolism drugs]. Last author PMID 37340650↗
  2. The serum miR-21 level serves as a predictor for the chemosensitivity of advanced pancreatic cancer, and miR-21 expression confers chemoresistance by targeting… Co-author DOI 10.1016/j.molonc.2012.10.011↗
  3. MicroRNA 23b regulates autophagy associated with radioresistance of pancreatic cancer cells. First author DOI 10.1053/j.gastro.2013.07.048↗

Closest collaborators

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

  1. Ruili Zhao · 1 shared paper, 2023 · strength 0.26
  2. Zhen Chen · 2 shared papers, 2013 · strength 0.07
  3. Peng Wang · 2 shared papers, 2013 · strength 0.07
  4. Liping Zhuang · 2 shared papers, 2013 · strength 0.07
  5. Zhiqiang Meng · 2 shared papers, 2013 · strength 0.07
  6. Jie Fan · 2 shared papers, 2013 · strength 0.07
  7. Luming Liu · 1 shared paper, 2013 · strength 0.03
  8. Kun Wang · 1 shared paper, 2013 · strength 0.03
  9. Zhengfei Zhu · 1 shared paper, 2013 · strength 0.03
  10. Lianyu Chen · 1 shared paper, 2013 · strength 0.03
  11. Li Zhang · 1 shared paper, 2013 · strength 0.03
  12. Luming Liu · 1 shared paper, 2013 · strength 0.03

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.