Pancreatic Cancer Research

ResearcherSheng Jing HospitalNo recent work listed

Haoyi Jin

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

Matched on ORCID iD 0000-0002-6685-1102; OpenAlex author ID A5102733693. Sources: OpenAlex.

Their work

Papers
9 (first author 1, last author 2)
Trials
0
Grants
0
Labs led
0
Collaborators
14
Papers, trials and grants by year

2016: 1 paper · 2017: 1 paper · 2018: 2 papers · 2019: 3 papers · 2020: 2 papers

Papers 9

  1. Role of exosomal microRNA-125b-5p in conferring the metastatic phenotype among pancreatic cancer cells with different potential of metastasis. Last author DOI 10.1016/j.lfs.2020.117857↗
  2. Identification of dissociation factors in pancreatic Cancer using a mass spectrometry-based proteomic approach. Co-author DOI 10.1186/s12885-020-6522-3↗
  3. ITGA6 and RPSA synergistically promote pancreatic cancer invasion and metastasis via PI3K and MAPK signaling pathways. Last author DOI 10.1016/j.yexcr.2019.03.022↗
  4. Differential secretome of pancreatic cancer cells in serum-containing conditioned medium reveals CCT8 as a new biomarker of pancreatic cancer invasion and meta… Co-author DOI 10.1186/s12935-019-0980-1↗
  5. Identification of RE1-Silencing Transcription Factor as a Promoter of Metastasis in Pancreatic Cancer. Co-author DOI 10.3389/fonc.2019.00291↗
  6. Exosomal zinc transporter ZIP4 promotes cancer growth and is a novel diagnostic biomarker for pancreatic cancer. Co-author DOI 10.1111/cas.13737↗
  7. Integrated whole genome microarray analysis and immunohistochemical assay identifies COL11A1, GJB2 and CTRL as predictive biomarkers for pancreatic cancer. First author DOI 10.1186/s12935-018-0669-x↗
  8. The role of pancreatic cancer-derived exosomes in cancer progress and their potential application as biomarkers. Co-author DOI 10.1007/s12094-017-1625-2↗
  9. Quantitative secretomic analysis of pancreatic cancer cells in serum-containing conditioned medium. Co-author DOI 10.1038/srep37606↗

Closest collaborators

The 14 strongest of 14 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Xiaodong Tan · 8 shared papers, 2016–2020 · strength 0.81
  2. Peng Liu · 7 shared papers, 2016–2020 · strength 0.69
  3. Yunhao Wu · 6 shared papers, 2016–2020 · strength 0.59
  4. Mengwei Wu · 4 shared papers, 2016–2020 · strength 0.35
  5. Lingming Kong · 3 shared papers, 2019–2020 · strength 0.34
  6. Bing Song · 2 shared papers, 2019–2020 · strength 0.24
  7. Defeng Sun · 2 shared papers, 2018–2019 · strength 0.22
  8. Yifan Yang · 2 shared papers, 2019–2020 · strength 0.20
  9. Xinlu Liu · 2 shared papers, 2019–2020 · strength 0.20
  10. Keke Liang · 1 shared paper, 2020 · strength 0.13
  11. Jun Zhang · 1 shared paper, 2018 · strength 0.12
  12. Xiyang Tan · 1 shared paper, 2017 · strength 0.12
  13. Yang Gao · 1 shared paper, 2019 · strength 0.10
  14. Yukui Zhang · 1 shared paper, 2016 · strength 0.06

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.