Pancreatic Cancer Research

ResearcherShanghai Jiao Tong UniversityNo recent work listed

Ling Tian

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

Matched on ORCID iD 0000-0002-6670-3062; OpenAlex author ID A5063829918. Sources: OpenAlex.

Their work

Papers
9 (first author 1, last author 5)
Trials
0
Grants
0
Labs led
1
Collaborators
13
Papers, trials and grants by year

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

Papers 9

  1. Anticancer Benefit of Metformin in Patients With Early-Stage Pancreatic Cancer: A Retrospective Cohort Study. Co-author DOI 10.1177/15330338221138208↗
  2. Correction to: microRNA-193a stimulates pancreatic cancer cell repopulation and metastasis through modulating TGF-β2/TGF-βRIII signalings. Last author DOI 10.1186/s13046-021-02180-6↗
  3. MicroRNA-7 modulates cellular senescence to relieve gemcitabine resistance by targeting PARP1/NF-κB signaling in pancreatic cancer cells. Co-author DOI 10.3892/ol.2020.12400↗
  4. Analysis of exosomal circRNAs upon irradiation in pancreatic cancer cell repopulation. Last author DOI 10.1186/s12920-020-00756-3↗
  5. Dying tumor cell-derived exosomal miR-194-5p potentiates survival and repopulation of tumor repopulating cells upon radiotherapy in pancreatic cancer. Last author DOI 10.1186/s12943-020-01178-6↗
  6. microRNA-193a stimulates pancreatic cancer cell repopulation and metastasis through modulating TGF-β2/TGF-βRIII signalings. Last author DOI 10.1186/s13046-018-0697-3↗
  7. microRNA-7 impairs autophagy-derived pools of glucose to suppress pancreatic cancer progression. Last author DOI 10.1016/j.canlet.2017.04.020↗
  8. Dying tumor cells stimulate proliferation of living tumor cells via caspase-dependent protein kinase Cδ activation in pancreatic ductal adenocarcinoma. First author DOI 10.1016/j.molonc.2014.07.024↗
  9. Identification of novel predictive markers for the prognosis of pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.humpath.2012.04.014↗

Closest collaborators

The 13 strongest of 13 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Mingjie Jiang · 5 shared papers, 2017–2021 · strength 0.59
  2. Dian-na Gu · 5 shared papers, 2017–2021 · strength 0.59
  3. Qian Huang · 5 shared papers, 2013–2020 · strength 0.37
  4. Zhiqiang Ye · 2 shared papers, 2021–2022 · strength 0.33
  5. Chi Fang · 3 shared papers, 2017–2021 · strength 0.31
  6. Yang Chen · 1 shared paper, 2022 · strength 0.17
  7. Yi-yun Chen · 1 shared paper, 2020 · strength 0.16
  8. Qian Huang · 1 shared paper, 2021 · strength 0.15
  9. Jin Quan Cheng · 1 shared paper, 2015 · strength 0.05
  10. Guanghui Zhu · 1 shared paper, 2013 · strength 0.03
  11. Yanli Luo · 1 shared paper, 2013 · strength 0.03
  12. Liwei Wang · 1 shared paper, 2013 · strength 0.03
  13. Zhengjun Qiu · 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.