Pancreatic Cancer Research

ResearcherUniversity of Hawaiʻi at MānoaActive in the last 2 years

Jingjing Zhu

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

Matched on ORCID iD 0000-0002-9691-6034; OpenAlex author ID A5041682827. Sources: OpenAlex.

Their work

Papers
10 (first author 1, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
42
Papers, trials and grants by year

2014: 1 paper · 2015: none · 2016: none · 2017: none · 2018: none · 2019: none · 2020: 3 papers · 2021: 1 paper · 2022: none · 2023: 2 papers · 2024: 3 papers

Papers 10

  1. Regulome-wide association study identifies genetically driven accessible regions associated with pancreatic cancer risk. Co-author DOI 10.1002/ijc.34761↗
  2. Elucidating the role of blood metabolites on pancreatic cancer risk using two-sample Mendelian randomization analysis. Co-author DOI 10.1002/ijc.34771↗
  3. Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma. Co-author DOI 10.1093/gigascience/giae012↗
  4. Associations between genetically predicted levels of blood metabolites and pancreatic cancer risk. Co-author DOI 10.1002/ijc.34466↗
  5. Splicing transcriptome-wide association study to identify splicing events for pancreatic cancer risk. Co-author DOI 10.1093/carcin/bgad069↗
  6. Integrating Genome and Methylome Data to Identify Candidate DNA Methylation Biomarkers for Pancreatic Cancer Risk. Co-author DOI 10.1158/1055-9965.epi-21-0400↗
  7. A Transcriptome-Wide Association Study Identifies Candidate Susceptibility Genes for Pancreatic Cancer Risk. Co-author DOI 10.1158/0008-5472.can-20-1353↗
  8. Associations between Genetically Predicted Blood Protein Biomarkers and Pancreatic Cancer Risk. Co-author DOI 10.1158/1055-9965.epi-20-0091↗
  9. Mendelian Randomization Analysis of n-6 Polyunsaturated Fatty Acid Levels and Pancreatic Cancer Risk. First author DOI 10.1158/1055-9965.epi-20-0651↗
  10. Parity and pancreatic cancer risk: a dose-response meta-analysis of epidemiologic studies. Co-author DOI 10.1371/journal.pone.0092738↗

Closest collaborators

The 25 strongest of 42 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Lang Wu · 9 shared papers, 2014–2024 · strength 1.48
  2. Shuai Liu · 4 shared papers, 2023–2024 · strength 0.94
  3. Hua Zhong · 3 shared papers, 2024 · strength 0.68
  4. Youping Deng · 3 shared papers, 2023–2024 · strength 0.62
  5. Duo Liu · 3 shared papers, 2020–2023 · strength 0.37
  6. Herbert Yu · 2 shared papers, 2020–2024 · strength 0.33
  7. Qizhi Cathy Yao · 2 shared papers, 2020–2024 · strength 0.27
  8. Dalia H. Ghoneim · 2 shared papers, 2020–2024 · strength 0.27
  9. Hua Zhong · 1 shared paper, 2023 · strength 0.26
  10. Jirong Long · 2 shared papers, 2020–2021 · strength 0.18
  11. Xiang Shu · 2 shared papers, 2020–2021 · strength 0.18
  12. Wei Zheng · 2 shared papers, 2020–2021 · strength 0.18
  13. Xiao‐Ou Shu · 2 shared papers, 2020–2021 · strength 0.18
  14. Qiuyin Cai · 2 shared papers, 2020–2021 · strength 0.18
  15. Tanxin Liu · 1 shared paper, 2024 · strength 0.16
  16. Tao Liu · 1 shared paper, 2024 · strength 0.16
  17. Duo Liu · 1 shared paper, 2020 · strength 0.11
  18. Eric R. Gamazon · 1 shared paper, 2020 · strength 0.11
  19. Dominique S. Michaud · 1 shared paper, 2021 · strength 0.11
  20. Douglas W. Mahoney · 1 shared paper, 2021 · strength 0.11
  21. John B. Kisiel · 1 shared paper, 2021 · strength 0.11
  22. Eric J. Duell · 1 shared paper, 2020 · strength 0.07
  23. Roger Laughlin Milne · 1 shared paper, 2020 · strength 0.07
  24. Mengmeng Du · 1 shared paper, 2020 · strength 0.07
  25. Rachel Ε. Neale · 1 shared paper, 2020 · strength 0.07

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.