Pancreatic Cancer Research

ResearcherFujian Medical UniversityNo recent work listed

Can Yang

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

Matched on ORCID iD 0000-0002-1648-3452; OpenAlex author ID A5102997046. Sources: OpenAlex.

Their work

Papers
9 (first author 2, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
16
Papers, trials and grants by year

2020: 5 papers · 2021: 3 papers · 2022: 1 paper

Papers 9

  1. SRSF3-mediated regulation of N6-methyladenosine modification-related lncRNA ANRIL splicing promotes resistance of pancreatic cancer to gemcitabine. Co-author DOI 10.1016/j.celrep.2022.110813↗
  2. SHCBP1 interacting with EOGT enhances O-GlcNAcylation of NOTCH1 and promotes the development of pancreatic cancer. Co-author DOI 10.1016/j.ygeno.2021.01.010↗
  3. CLK1/SRSF5 pathway induces aberrant exon skipping of METTL14 and Cyclin L2 and promotes growth and metastasis of pancreatic cancer. First author DOI 10.1186/s13045-021-01072-8↗
  4. Construction and Validation of Novel Nomograms for Predicting Prognosis of Pancreatic Ductal Adenocarcinoma After Surgery According to Different Primary Cancer… Co-author DOI 10.3389/fonc.2021.646082↗
  5. Anterior gradient 2 is a novel pro-tumor factor in pancreatic cancer under NF-κB subunit RelA trans-regulation that can be suppressed by eugenic acid. First author DOI 10.1016/j.biopha.2020.110830↗
  6. LncRNA STXBP5-AS1 suppresses stem cell-like properties of pancreatic cancer by epigenetically inhibiting neighboring androglobin gene expression. Co-author DOI 10.1186/s13148-020-00961-y↗
  7. Identify key genes and pathways in pancreatic ductal adenocarcinoma via bioinformatics analysis Co-author DOI 10.21203/rs.3.rs-16813/v1↗
  8. Identify key genes and pathways in pancreatic ductal adenocarcinoma via bioinformatics analysis Co-author DOI 10.21203/rs.3.rs-19826/v1↗
  9. SHCBP1 interacting with EOGT enhanced O-GlcNAcylation of NOTCH1 and promoted the development of pancreatic cancer . Co-author DOI 10.21203/rs.3.rs-95104/v1↗

Closest collaborators

The 16 strongest of 16 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Shi Chen · 9 shared papers, 2020–2022 · strength 1.03
  2. Yifeng Tian · 7 shared papers, 2020–2022 · strength 0.80
  3. Long Huang · 6 shared papers, 2020–2022 · strength 0.68
  4. Cheng‐Yu Liao · 5 shared papers, 2020–2022 · strength 0.58
  5. Zuwei Wang · 4 shared papers, 2020–2022 · strength 0.46
  6. Baiyong Shen · 4 shared papers, 2020–2022 · strength 0.46
  7. Qian Zhan · 4 shared papers, 2020–2021 · strength 0.45
  8. Huatian Luo · 3 shared papers, 2020 · strength 0.33
  9. Yaodong Wang · 3 shared papers, 2020 · strength 0.33
  10. Ge Li · 3 shared papers, 2020–2021 · strength 0.33
  11. Yaodong Wang · 2 shared papers, 2021–2022 · strength 0.25
  12. Jiangzhi Chen · 2 shared papers, 2020 · strength 0.21
  13. Yao-Dong Wang · 2 shared papers, 2020 · strength 0.21
  14. Ge Li · 1 shared paper, 2021 · strength 0.12
  15. Yanling Chen · 1 shared paper, 2021 · strength 0.12
  16. Zhixiang Jian · 1 shared paper, 2020 · strength 0.11

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.