Pancreatic Cancer Research

ResearcherVA Greater Los Angeles Healthcare SystemActive in the last 2 years

Christie Y. Jeon

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

Matched on ORCID iD 0000-0002-5739-2477; OpenAlex author ID A5090411791; NIH RePORTER profile ID 10606851. Sources: OpenAlex.

Their work

Papers
21 (first author 1, last author 2)
Trials
0
Grants
1
Labs led
1
Collaborators
81
Papers, trials and grants by year

2014: 1 paper · 2015: 2 papers · 2016: none · 2017: 1 paper · 2018: 2 papers · 2019: 1 paper, 1 grant · 2020: 4 papers · 2021: none · 2022: 3 papers · 2023: 3 papers · 2024: 1 paper · 2025: 1 paper · 2026: 2 papers

Papers 21

  1. Implementation of Risk Prediction Models Using Electronic Health Data for Early Detection of Pancreatic Cancer: A Prospective Pilot Feasibility Study. Co-author DOI 10.1002/cam4.72368↗
  2. Knowledge, preferences, and potential barriers to additional testing among patients identified as increased risk of pancreatic cancer through machine-learning … Co-author DOI 10.1016/j.pan.2026.03.017↗
  3. Predicting Pancreatic Ductal Adenocarcinoma Occurrence Up to 10 Years in Advance Using Features of the Main Pancreatic Duct in Pre-Diagnostic CT Scans. Co-author DOI 10.3390/cancers17111886↗
  4. Bidirectional relationship between acute pancreatitis and pancreatic cancer. Co-author DOI 10.1097/mog.0000000000001051↗
  5. Urine biomarkers enable pancreatic cancer detection up to 2 years before diagnosis. Co-author DOI 10.1002/ijc.34287↗
  6. Machine learning versus regression for prediction of sporadic pancreatic cancer. Co-author DOI 10.1016/j.pan.2023.04.009↗
  7. Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer. Co-author DOI 10.14309/ajg.0000000000002050↗
  8. Uniting epidemiology and experimental models: pancreatic steatosis and pancreatic cancer. Last author DOI 10.1016/j.ebiom.2022.103996↗
  9. Prediction of Pancreatic Cancer in Diabetes Patients with Worsening Glycemic Control. Co-author DOI 10.1158/1055-9965.epi-21-0712↗
  10. Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images. Co-author DOI 10.3389/fonc.2022.1007990↗
  11. New-Onset Diabetes, Longitudinal Trends in Metabolic Markers, and Risk of Pancreatic Cancer in a Heterogeneous Population. Co-author DOI 10.1016/j.cgh.2019.11.043↗
  12. Early detection of pancreatic cancer. Co-author DOI 10.1016/s2468-1253(19)30416-9↗
  13. Prediction of Pancreatic Cancer Based on Imaging Features in Patients With Duct Abnormalities. Co-author DOI 10.1097/mpa.0000000000001499↗
  14. Identification of Individuals at Increased Risk for Pancreatic Cancer in a Community-Based Cohort of Patients With Suspected Chronic Pancreatitis. Co-author DOI 10.14309/ctg.0000000000000147↗
  15. Do changes in health reveal the possibility of undiagnosed pancreatic cancer? Development of a risk-prediction model based on healthcare claims data. Last author DOI 10.1371/journal.pone.0218580↗
  16. The Association of Recently Diagnosed Diabetes and Long-term Diabetes With Survival in Pancreatic Cancer Patients: A Pooled Analysis. Co-author DOI 10.1097/mpa.0000000000000989↗
  17. PROspective Evaluation of Chronic Pancreatitis for EpidEmiologic and Translational StuDies: Rationale and Study Design for PROCEED From the Consortium for the … Co-author DOI 10.1097/mpa.0000000000001170↗
  18. Tobacco and alcohol as risk factors for pancreatic cancer. First author DOI 10.1016/j.bpg.2017.09.001↗
  19. Impact of statin use on survival in patients undergoing resection for early-stage pancreatic cancer. Co-author DOI 10.1038/ajg.2015.217↗
  20. The association of statin use after cancer diagnosis with survival in pancreatic cancer patients: a SEER-medicare analysis. Co-author DOI 10.1371/journal.pone.0121783↗
  21. Diabetes, pancreatic cancer, and metformin therapy. Co-author DOI 10.3389/fphys.2014.00426↗

Grants 1

  1. Predicting the diagnosis of pancreatic cancer by leveraging big data R21CA220073↗

Closest collaborators

The 25 strongest of 81 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Bechien U. Wu · 10 shared papers, 2015–2026 · strength 1.52
  2. Stephen Jacob Pandol · 13 shared papers, 2014–2025 · strength 1.47
  3. Tiffany Q. Luong · 4 shared papers, 2023–2026 · strength 0.95
  4. Wansu Chen · 5 shared papers, 2020–2026 · strength 0.92
  5. Joseph R. Pisegna · 3 shared papers, 2019–2023 · strength 0.42
  6. Debiao Li · 3 shared papers, 2020–2025 · strength 0.41
  7. Murray Korc · 2 shared papers, 2017–2024 · strength 0.37
  8. Fagen Xie · 2 shared papers, 2023 · strength 0.34
  9. Lixia Wang · 2 shared papers, 2022–2025 · strength 0.32
  10. Sehrish Javed · 2 shared papers, 2022–2025 · strength 0.32
  11. Srinivas Gaddam · 2 shared papers, 2022–2025 · strength 0.32
  12. Touseef Ahmad Qureshi · 2 shared papers, 2022–2025 · strength 0.32
  13. Kush Yadav · 1 shared paper, 2026 · strength 0.30
  14. Anna Evans Phillips · 1 shared paper, 2024 · strength 0.28
  15. Richard A. Kozarek · 1 shared paper, 2024 · strength 0.28
  16. Emily Truong · 1 shared paper, 2022 · strength 0.26
  17. Harvey A. Risch · 2 shared papers, 2019–2022 · strength 0.25
  18. Temel Tirkes · 2 shared papers, 2018–2025 · strength 0.24
  19. Hui Cai · 1 shared paper, 2023 · strength 0.18
  20. Silvana Debernardi · 1 shared paper, 2023 · strength 0.18
  21. Kirtiman Srivastava · 1 shared paper, 2023 · strength 0.18
  22. Xiao‐Ou Shu · 1 shared paper, 2023 · strength 0.18
  23. Tatjana Crnogorac‐Jurcevic · 1 shared paper, 2023 · strength 0.18
  24. Qiuyin Cai · 1 shared paper, 2023 · strength 0.18
  25. Oleg B. Blyuss · 1 shared paper, 2023 · strength 0.18

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.