ResearcherRoyal Hallamshire HospitalNo recent work listed

Mustafa Jalal

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

Matched on ORCID iD 0000-0002-7498-2743; OpenAlex author ID A5013401018. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 5

Papers, trials and grants by year

2021: 1 paper · 2022: none · 2023: 1 paper

Papers 2

Body composition parameters predict survival in pancreatic cancer-A retrospective multicenter analysis. Co-author DOI 10.1002/ueg2.12489 ↗
Computed Tomographic Sarcopenia in Pancreatic Cancer: Further Utilization to Plan Patient Management. Co-author DOI 10.1007/s12029-021-00672-4 ↗

Closest collaborators

The 5 strongest of 5 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Andrew Derek Hopper · 2 shared papers, 2021–2023 · strength 0.36
- Paper Computed Tomographic Sarcopenia in Pancreatic Cancer: Further Utilization to Plan Patient Management. DOI 10.1007/s12029-021-00672-4 ↗
- Paper Body composition parameters predict survival in pancreatic cancer-A retrospective multicenter analysis. DOI 10.1002/ueg2.12489 ↗
Marko Damm · 1 shared paper, 2023 · strength 0.17
- Paper Body composition parameters predict survival in pancreatic cancer-A retrospective multicenter analysis. DOI 10.1002/ueg2.12489 ↗
Sebastian Krug · 1 shared paper, 2023 · strength 0.17
- Paper Body composition parameters predict survival in pancreatic cancer-A retrospective multicenter analysis. DOI 10.1002/ueg2.12489 ↗
Jonas Rosendahl · 1 shared paper, 2023 · strength 0.17
- Paper Body composition parameters predict survival in pancreatic cancer-A retrospective multicenter analysis. DOI 10.1002/ueg2.12489 ↗
Patrick Michl · 1 shared paper, 2023 · strength 0.17
- Paper Body composition parameters predict survival in pancreatic cancer-A retrospective multicenter analysis. DOI 10.1002/ueg2.12489 ↗

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.