ResearcherActive in the last 2 years

Un‐Beom Kang

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

Matched on ORCID iD 0000-0002-9246-4237; OpenAlex author ID A5028661392. Sources: OpenAlex.

Their work

Papers: 1 (first author 0, last author 1)
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 6

Papers, trials and grants by year

2024: 1 paper

Papers 1

Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. Last author DOI 10.1016/j.mcpro.2024.100824 ↗

Closest collaborators

The 6 strongest of 6 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Jin‐Young Jang · 1 shared paper, 2024 · strength 0.18
- Paper Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. DOI 10.1016/j.mcpro.2024.100824 ↗
Young‐Jae Cho · 1 shared paper, 2024 · strength 0.18
- Paper Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. DOI 10.1016/j.mcpro.2024.100824 ↗
Hye‐Sol Jung · 1 shared paper, 2024 · strength 0.18
- Paper Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. DOI 10.1016/j.mcpro.2024.100824 ↗
Won‐Gun Yun · 1 shared paper, 2024 · strength 0.18
- Paper Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. DOI 10.1016/j.mcpro.2024.100824 ↗
Hyeonji Kim · 1 shared paper, 2024 · strength 0.18
- Paper Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. DOI 10.1016/j.mcpro.2024.100824 ↗
Wooil Kwon · 1 shared paper, 2024 · strength 0.18
- Paper Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. DOI 10.1016/j.mcpro.2024.100824 ↗

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.