Pancreatic Cancer Research

ResearcherChinese Academy of Medical Sciences & Peking Union Medical CollegeNo recent work listed

Xianglan Jin

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

Matched on ORCID iD 0000-0001-9934-3641; OpenAlex author ID A5064594549. Sources: OpenAlex.

Their work

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

2013: 1 paper · 2014: none · 2015: 3 papers · 2016: 1 paper

Papers 5

  1. KRAS-related noncoding RNAs in pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.cdtm.2016.11.012↗
  2. MiRNA-615-5p functions as a tumor suppressor in pancreatic ductal adenocarcinoma by targeting AKT2. Co-author DOI 10.1371/journal.pone.0119783↗
  3. Deregulation of the MiR-193b-KRAS Axis Contributes to Impaired Cell Growth in Pancreatic Cancer. Co-author DOI 10.1371/journal.pone.0125515↗
  4. Correction: MiRNA-615-5p Functions as a Tumor Suppressor in Pancreatic Ductal Adenocarcinoma by Targeting AKT2. Co-author DOI 10.1371/journal.pone.0128257↗
  5. [MiR-150-5p inhibits the proliferation and promoted apoptosis of pancreatic cancer cells]. First author DOI 10.3760/cma.j.issn.0529-5807.2013.07.007↗

Closest collaborators

The 9 strongest of 9 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Shuangni Yu · 4 shared papers, 2015–2016 · strength 0.23
  2. Yang Sun · 4 shared papers, 2013–2015 · strength 0.21
  3. Congwei Jia · 3 shared papers, 2013–2015 · strength 0.16
  4. Jie Chen · 3 shared papers, 2013–2015 · strength 0.16
  5. Tingting Zhang · 3 shared papers, 2013–2015 · strength 0.16
  6. Jie Chen · 2 shared papers, 2015–2016 · strength 0.12
  7. Cuiping Wang · 2 shared papers, 2015 · strength 0.11
  8. Pingping Liu · 1 shared paper, 2016 · strength 0.07
  9. Yihui Ma · 1 shared paper, 2016 · strength 0.07

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.