ResearcherThe University of MelbourneNo recent work listed

Alexander Grogan

Verified by OpenAlex author ID (good confidence, 0.85), identity_conf@1As of 8 November 2026

Matched on OpenAlex author ID A5026665702. Sources: OpenAlex.

Their work

Papers: 1
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 6

Papers, trials and grants by year

2022: 1 paper

Papers 1

Real-world staging computed tomography scanning technique and important reporting discrepancies in pancreatic ductal adenocarcinoma. Co-author DOI 10.1111/ans.17787 ↗

Closest collaborators

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

Benjamin P. T. Loveday · 1 shared paper, 2022 · strength 0.16
- Paper Real-world staging computed tomography scanning technique and important reporting discrepancies in pancreatic ductal ad… DOI 10.1111/ans.17787 ↗
Benjamin N. J. Thomson · 1 shared paper, 2022 · strength 0.16
- Paper Real-world staging computed tomography scanning technique and important reporting discrepancies in pancreatic ductal ad… DOI 10.1111/ans.17787 ↗
Hyun Soo Ko · 1 shared paper, 2022 · strength 0.16
- Paper Real-world staging computed tomography scanning technique and important reporting discrepancies in pancreatic ductal ad… DOI 10.1111/ans.17787 ↗
Hui‐Li Wong · 1 shared paper, 2022 · strength 0.16
- Paper Real-world staging computed tomography scanning technique and important reporting discrepancies in pancreatic ductal ad… DOI 10.1111/ans.17787 ↗
Peter Gibbs · 1 shared paper, 2022 · strength 0.16
- Paper Real-world staging computed tomography scanning technique and important reporting discrepancies in pancreatic ductal ad… DOI 10.1111/ans.17787 ↗
Belinda Lee · 1 shared paper, 2022 · strength 0.16
- Paper Real-world staging computed tomography scanning technique and important reporting discrepancies in pancreatic ductal ad… DOI 10.1111/ans.17787 ↗

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.