Pancreatic Cancer Research

ResearcherMoffitt Cancer CenterActive in the last 2 years

Daniel K. Jeong

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

Matched on ORCID iD 0000-0003-4510-5204; OpenAlex author ID A5005170127; NIH RePORTER profile ID 15053234. Sources: OpenAlex.

Their work

Papers
7
Trials
0
Grants
1
Labs led
0
Collaborators
31
Papers, trials and grants by year

2019: 1 paper · 2020: none · 2021: 1 paper · 2022: 1 paper · 2023: none · 2024: 1 paper · 2025: 3 papers, 1 grant

Papers 7

  1. Race-based differences in serum biomarkers for cancer-associated cachexia in a diverse cohort of patients with pancreatic ductal adenocarcinoma. Co-author DOI 10.1038/s43856-025-01277-9↗
  2. The Impact of Edema on Skeletal Muscle Changes among Patients with Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1158/1055-9965.epi-25-0237↗
  3. Lifetime stressor exposure and depression among patients with pancreatic cancer: insights from the Florida Pancreas Collaborative. Co-author DOI 10.1186/s12885-025-15007-w↗
  4. Leveraging real-world data to predict cancer cachexia stage, quality of life, and survival in a racially and ethnically diverse multi-institutional cohort of t… Co-author DOI 10.3389/fonc.2024.1362244↗
  5. A comparative Proteomics Analysis Identified Differentially Expressed Proteins in Pancreatic Cancer-Associated Stellate Cell Small Extracellular Vesicles. Co-author DOI 10.1016/j.mcpro.2022.100438↗
  6. The Florida Pancreas Collaborative Next-Generation Biobank: Infrastructure to Reduce Disparities and Improve Survival for a Diverse Cohort of Patients with Pan… Co-author DOI 10.3390/cancers13040809↗
  7. Racial and ethnic disparities in a state-wide registry of patients with pancreatic cancer and an exploratory investigation of cancer cachexia as a contributor … Co-author DOI 10.1002/cam4.2180↗

Grants 1

  1. Using Radiogenomics to Noninvasively Predict the Malignant Potential of Intraductal Papillary Mucinous Neoplasms of the Pancreas and Uncover Hidden Biology R37CA229810↗

Closest collaborators

The 25 strongest of 31 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Jennifer B. Permuth · 5 shared papers, 1 shared grant, 2019–2025 · strength 1.79
  2. Jason B. Fleming · 4 shared papers, 2019–2025 · strength 0.52
  3. José M. Pimiento · 3 shared papers, 2025 · strength 0.50
  4. Vic Velanovich · 3 shared papers, 2025 · strength 0.50
  5. Margaret A. Park · 3 shared papers, 2025 · strength 0.50
  6. Paul A. Stewart · 3 shared papers, 2022–2025 · strength 0.45
  7. Andrew R. Judge · 3 shared papers, 2019–2025 · strength 0.38
  8. Dung‐Tsa Chen · 3 shared papers, 2019–2025 · strength 0.38
  9. Pamela Joy Hodul · 3 shared papers, 2019–2025 · strength 0.38
  10. Kun Jiang · 2 shared papers, 2025 · strength 0.35
  11. Sarah M. Judge · 2 shared papers, 2025 · strength 0.31
  12. Nathan H. Parker · 2 shared papers, 2025 · strength 0.31
  13. Evan W. Davis · 2 shared papers, 2025 · strength 0.31
  14. J. Pablo Arnoletti · 2 shared papers, 2025 · strength 0.31
  15. Mokenge Peter Malafa · 2 shared papers, 2025 · strength 0.31
  16. Jose Gilberto Trevino · 2 shared papers, 2025 · strength 0.31
  17. Sylvia L. Crowder · 2 shared papers, 2025 · strength 0.31
  18. Ghulam Rasool · 2 shared papers, 2025 · strength 0.31
  19. Nipun B. Merchant · 2 shared papers, 2019–2025 · strength 0.22
  20. Anthony DeSomma · 1 shared paper, 2025 · strength 0.19
  21. Dae Won Kim · 1 shared paper, 2025 · strength 0.19
  22. Mark Bloomston · 1 shared paper, 2025 · strength 0.19
  23. Shaffer R. S. Mok · 1 shared paper, 2025 · strength 0.16
  24. for the Florida Pancreas Collaborative · 1 shared paper, 2025 · strength 0.16
  25. Dae Won Kim · 1 shared paper, 2025 · strength 0.16

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.