Pancreatic Cancer Research

ResearcherSun Yat-sen UniversityActive in the last 2 years

Shangxiang Chen

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

Matched on ORCID iD 0000-0003-1161-0480; OpenAlex author ID A5042224409. Sources: OpenAlex.

Their work

Papers
9 (first author 2, last author 1)
Trials
0
Grants
0
Labs led
0
Collaborators
23
Papers, trials and grants by year

2020: 2 papers · 2021: 3 papers · 2022: 2 papers · 2023: 1 paper · 2024: none · 2025: 1 paper

Papers 9

  1. Correction: Nanoparticles modified by triple single chain antibodies for MRI examination and targeted therapy in pancreatic cancer. First author DOI 10.1039/d5nr90172c↗
  2. Glutamate from nerve cells promotes perineural invasion in pancreatic cancer by regulating tumor glycolysis through HK2 mRNA-m6A modification. Last author DOI 10.1016/j.phrs.2022.106555↗
  3. TIMP1 derived from pancreatic cancer cells stimulates Schwann cells and promotes the occurrence of perineural invasion. Co-author DOI 10.1016/j.canlet.2022.215863↗
  4. Arsenic trioxide-loaded nanoparticles enhance the chemosensitivity of gemcitabine in pancreatic cancer via the reversal of pancreatic stellate cell desmoplasia… Co-author DOI 10.1039/d2bm01039a↗
  5. TIMP1 down-regulation enhances gemcitabine sensitivity and reverses chemoresistance in pancreatic cancer. Co-author DOI 10.1016/j.bcp.2020.114085↗
  6. Peripheral blood monocytes predict clinical prognosis and support tumor invasiveness through NF-κB-dependent upregulation of Snail in pancreatic cancer. Co-author DOI 10.21037/tcr-21-980↗
  7. Bioinformatics-Based Identification of Tumor Microenvironment-Related Prognostic Genes in Pancreatic Cancer. Co-author DOI 10.3389/fgene.2021.632803↗
  8. Development and validation of a novel nomogram for pretreatment prediction of liver metastasis in pancreatic cancer. Co-author DOI 10.1002/cam4.2930↗
  9. Nanoparticles modified by triple single chain antibodies for MRI examination and targeted therapy in pancreatic cancer. First author DOI 10.1039/c9nr04976b↗

Closest collaborators

The 23 strongest of 23 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Kaihong Huang · 9 shared papers, 2020–2025 · strength 1.32
  2. Yaqing Li · 8 shared papers, 2020–2025 · strength 1.19
  3. Guoda Lian · 8 shared papers, 2020–2025 · strength 1.18
  4. Yinting Chen · 7 shared papers, 2020–2025 · strength 1.02
  5. Jinmao Zou · 6 shared papers, 2020–2025 · strength 0.90
  6. Shaojie Chen · 4 shared papers, 2021–2023 · strength 0.58
  7. Shaojie Chen · 3 shared papers, 2020–2025 · strength 0.48
  8. Jiajia Li · 3 shared papers, 2021–2022 · strength 0.42
  9. Linjuan Zeng · 2 shared papers, 2020–2025 · strength 0.37
  10. Hanming Yao · 2 shared papers, 2022–2023 · strength 0.31
  11. Zhenfeng Tian · 2 shared papers, 2021–2022 · strength 0.28
  12. Jiajia Li · 1 shared paper, 2025 · strength 0.26
  13. Ying Tan · 2 shared papers, 2020–2021 · strength 0.23
  14. Shurui Zhou · 1 shared paper, 2023 · strength 0.16
  15. Jiajia Li · 1 shared paper, 2023 · strength 0.16
  16. Fengjiao Li · 1 shared paper, 2023 · strength 0.16
  17. Yue Zhao · 1 shared paper, 2023 · strength 0.16
  18. Yue Zhao · 1 shared paper, 2022 · strength 0.15
  19. Kege Yang · 1 shared paper, 2022 · strength 0.15
  20. Guangsheng Ou · 1 shared paper, 2022 · strength 0.15
  21. Xingyi Lin · 1 shared paper, 2022 · strength 0.15
  22. Feifei Huang · 1 shared paper, 2021 · strength 0.14
  23. Qiubo Zhang · 1 shared paper, 2020 · strength 0.09

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.