Pancreatic Cancer Research

ResearcherFudan UniversityActive in the last 2 years

Ying Zhu

Matched on ORCID iD 0000-0001-5247-6324; OpenAlex author ID A5052189702. Sources: OpenAlex.

Their work

Papers
12 (first author 3, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
26
Papers, trials and grants by year

2016: 1 paper · 2017: 1 paper · 2018: 1 paper · 2019: 3 papers · 2020: 2 papers · 2021: 2 papers · 2022: none · 2023: 1 paper · 2024: none · 2025: 1 paper

Papers 12

  1. Author Correction: Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations. Co-author DOI 10.1038/s41467-025-58613-9↗
  2. Single-cell mapping reveals several immune subsets associated with liver metastasis of pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.medj.2023.07.010↗
  3. Identification of genetic variants in m6A modification genes associated with pancreatic cancer risk in the Chinese population. Co-author DOI 10.1007/s00204-021-02978-5↗
  4. A genetic variant conferred high expression of CAV2 promotes pancreatic cancer progression and associates with poor prognosis. Co-author DOI 10.1016/j.ejca.2021.04.008↗
  5. Evaluation of polymorphisms in microRNA-binding sites and pancreatic cancer risk in Chinese population. Co-author DOI 10.1111/jcmm.14906↗
  6. N6-methyladenosine mRNA methylation of PIK3CB regulates AKT signalling to promote PTEN-deficient pancreatic cancer progression. First author DOI 10.1136/gutjnl-2019-320179↗
  7. A genetic variant in PIK3R1 is associated with pancreatic cancer survival in the Chinese population. Co-author DOI 10.1002/cam4.2228↗
  8. A functional variant rs1537373 in 9p21.3 region is associated with pancreatic cancer risk. First author DOI 10.1002/mc.22968↗
  9. A functional variant in the boundary of a topological association domain is associated with pancreatic cancer risk. Co-author DOI 10.1002/mc.23077↗
  10. Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations. Co-author DOI 10.1038/s41467-018-06136-x↗
  11. BRCA1 missense polymorphisms are associated with poor prognosis of pancreatic cancer patients in a Chinese population. Co-author DOI 10.18632/oncotarget.16422↗
  12. A single nucleotide polymorphism in the 3'-UTR of STAT3 regulates its expression and reduces risk of pancreatic cancer in a Chinese population. First author DOI 10.18632/oncotarget.11607↗

Closest collaborators

The 25 strongest of 26 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Jianbo Tian · 11 shared papers, 2016–2025 · strength 0.99
  2. Rong Zhong · 11 shared papers, 2016–2025 · strength 0.99
  3. Jiang Chang · 11 shared papers, 2016–2025 · strength 0.99
  4. Xiaoping Miao · 10 shared papers, 2016–2025 · strength 0.91
  5. Juntao Ke · 8 shared papers, 2016–2025 · strength 0.67
  6. Pingting Ying · 6 shared papers, 2019–2021 · strength 0.56
  7. Kun Huang · 3 shared papers, 2017–2025 · strength 0.30
  8. Beibei Zhu · 3 shared papers, 2016–2025 · strength 0.29
  9. Shufang Mei · 3 shared papers, 2019–2020 · strength 0.24
  10. Ming Yang · 2 shared papers, 2018–2025 · strength 0.24
  11. Li Wang · 2 shared papers, 2018–2025 · strength 0.24
  12. Chen Hsuan Wu · 2 shared papers, 2018–2025 · strength 0.24
  13. Dongxin Lin · 2 shared papers, 2018–2025 · strength 0.24
  14. Bin Li · 2 shared papers, 2019–2021 · strength 0.17
  15. Ming Zhang · 2 shared papers, 2019–2020 · strength 0.16
  16. Feng Yang · 1 shared paper, 2023 · strength 0.14
  17. Qiongzhu Dong · 1 shared paper, 2023 · strength 0.14
  18. Ze Zhang · 1 shared paper, 2023 · strength 0.14
  19. Bo Tu · 1 shared paper, 2023 · strength 0.14
  20. Beiyuan Hu · 1 shared paper, 2023 · strength 0.14
  21. Yan Zheng · 1 shared paper, 2023 · strength 0.14
  22. Christiane J. Bruns · 1 shared paper, 2023 · strength 0.14
  23. Yue Zhao · 1 shared paper, 2023 · strength 0.14
  24. Deliang Fu · 1 shared paper, 2023 · strength 0.14
  25. Beibei Zhu · 1 shared paper, 2019 · strength 0.08

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.