ResearcherUniversity of PaduaActive in the last 2 years
Sofia Parrasia
Matched on ORCID iD 0000-0001-7106-6451; OpenAlex author ID A5069248389. Sources: OpenAlex.
Their work
- Papers
- 3
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 7
2021: 1 paper · 2022: none · 2023: 1 paper · 2024: none · 2025: none · 2026: 1 paper
Papers 3
- Tumor-specific targeting of a mitochondrial Kv1.3 channel inhibitor through conjugation to gastrin/cholecystokinin B receptor ligand strongly reduces pancreati… Co-author DOI 10.1016/j.phrs.2026.108150↗
- DA7R: A 7-Letter Zip Code to Target PDAC. Co-author DOI 10.3390/pharmaceutics15051508↗
- Targeting Pancreatic Ductal Adenocarcinoma (PDAC). Co-author DOI 10.33594/000000326↗
Closest collaborators
The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Lucia Biasutto · 3 shared papers, 2021–2026 · strength 0.61
- Paper Tumor-specific targeting of a mitochondrial Kv1.3 channel inhibitor through conjugation to gastrin/cholecystokinin B re… DOI 10.1016/j.phrs.2026.108150↗
- Paper DA7R: A 7-Letter Zip Code to Target PDAC. DOI 10.3390/pharmaceutics15051508↗
- Paper Targeting Pancreatic Ductal Adenocarcinoma (PDAC). DOI 10.33594/000000326↗
- Ildikò Szabó · 3 shared papers, 2021–2026 · strength 0.61
- Paper Tumor-specific targeting of a mitochondrial Kv1.3 channel inhibitor through conjugation to gastrin/cholecystokinin B re… DOI 10.1016/j.phrs.2026.108150↗
- Paper DA7R: A 7-Letter Zip Code to Target PDAC. DOI 10.3390/pharmaceutics15051508↗
- Paper Targeting Pancreatic Ductal Adenocarcinoma (PDAC). DOI 10.33594/000000326↗
- Erich Gulbins · 1 shared paper, 2026 · strength 0.23
- Vincenzo Corbo · 1 shared paper, 2026 · strength 0.23
- Alessandro Carrer · 1 shared paper, 2026 · strength 0.23
- Elena Fiorini · 1 shared paper, 2026 · strength 0.23
- Carlotta Paoli · 1 shared paper, 2026 · strength 0.23
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.