Pancreatic Cancer Research

ResearcherUniversity of TorontoActive in the last 2 years

Y.J. Ko

Matched on ORCID iD 0009-0004-5157-5063; OpenAlex author ID A5109239273. Sources: OpenAlex.

Their work

Papers
3 (first author 1, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
13
Papers, trials and grants by year

2013: 1 paper · 2014: none · 2015: 1 paper · 2016: none · 2017: none · 2018: none · 2019: none · 2020: none · 2021: none · 2022: none · 2023: none · 2024: none · 2025: 1 paper

Papers 3

  1. Early prediction of liver metastasis in pancreatic cancer using routine clinical data: an externally validated machine learning model. Co-author DOI 10.1186/s12885-025-15285-4↗
  2. Impact of country-specific EQ-5D-3L tariffs on the economic value of systemic therapies used in the treatment of metastatic pancreatic cancer. Co-author DOI 10.3747/co.22.2592↗
  3. Cost-effectiveness of systemic therapies for metastatic pancreatic cancer. First author DOI 10.3747/co.20.1223↗

Closest collaborators

The 13 strongest of 13 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Jiyoung Keum · 1 shared paper, 2025 · strength 0.20
  2. Jung Hyun Jo · 1 shared paper, 2025 · strength 0.20
  3. Hee Seung Lee · 1 shared paper, 2025 · strength 0.20
  4. Moon Jae Chung · 1 shared paper, 2025 · strength 0.20
  5. Jeong Youp Park · 1 shared paper, 2025 · strength 0.20
  6. Jae Hee Cho · 1 shared paper, 2025 · strength 0.20
  7. Sung Ill Jang · 1 shared paper, 2025 · strength 0.20
  8. Jee Hoon Kim · 1 shared paper, 2025 · strength 0.20
  9. Seungmin Bang · 1 shared paper, 2025 · strength 0.20
  10. Kyung In Shin · 1 shared paper, 2025 · strength 0.20
  11. Vincent Channing Tam · 2 shared papers, 2013–2015 · strength 0.10
  12. Kelvin Chan · 2 shared papers, 2013–2015 · strength 0.10
  13. Kelly Lien · 1 shared paper, 2015 · 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.