Pancreatic Cancer Research

ResearcherEssen University HospitalActive in the last 2 years

Julius Keyl

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

Matched on ORCID iD 0000-0002-5617-091X; OpenAlex author ID A5082541566. Sources: OpenAlex.

Their work

Papers
2
Trials
0
Grants
0
Labs led
0
Collaborators
11
Papers, trials and grants by year

2022: 1 paper · 2023: none · 2024: 1 paper

Papers 2

  1. Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study. Co-author DOI 10.1016/j.esmoop.2023.102219↗
  2. Multimodal survival prediction in advanced pancreatic cancer using machine learning. Co-author DOI 10.1016/j.esmoop.2022.100555↗

Closest collaborators

The 11 strongest of 11 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Stefan Kasper · 2 shared papers, 2022–2024 · strength 0.27
  2. Jens Thomas Siveke · 2 shared papers, 2022–2024 · strength 0.27
  3. Jens Kleesiek · 2 shared papers, 2022–2024 · strength 0.27
  4. Georgios A. Kaissis · 1 shared paper, 2024 · strength 0.15
  5. Hideo Andreas Baba · 1 shared paper, 2024 · strength 0.15
  6. Friederike Jungmann · 1 shared paper, 2024 · strength 0.15
  7. Timm M. Reißig · 1 shared paper, 2024 · strength 0.15
  8. Rickmer Braren · 1 shared paper, 2024 · strength 0.15
  9. Julian Götze · 1 shared paper, 2022 · strength 0.12
  10. Marianne Sinn · 1 shared paper, 2022 · strength 0.12
  11. Marcel Wiesweg · 1 shared paper, 2022 · strength 0.12

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.