Pancreatic Cancer Research

ResearcherVita-Salute San Raffaele UniversityActive in the last 2 years

Maria Giulia Cangi

Matched on ORCID iD 0000-0002-9472-0935; OpenAlex author ID A5052627162. Sources: OpenAlex.

Closest collaborators

The 24 strongest of 24 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Claudio Doglioni · 5 shared papers, 2016–2025 · strength 0.72
  2. Massimo Falconi · 4 shared papers, 2022–2025 · strength 0.67
  3. Marco Schiavo Lena · 4 shared papers, 2022–2025 · strength 0.67
  4. Michele Reni · 4 shared papers, 2016–2025 · strength 0.55
  5. Miriam Redegalli · 3 shared papers, 2022–2023 · strength 0.46
  6. Giulio Belfiori · 2 shared papers, 2023–2025 · strength 0.38
  7. Giulia Gasparini · 2 shared papers, 2023–2025 · strength 0.38
  8. Stefano Crippa · 2 shared papers, 2023–2025 · strength 0.38
  9. Gianpaolo Balzano · 2 shared papers, 2022–2023 · strength 0.29
  10. Paolo Giorgio Arcidiacono · 2 shared papers, 2022–2023 · strength 0.29
  11. Stefano Partelli · 1 shared paper, 2025 · strength 0.21
  12. Nicolò Pecorelli · 1 shared paper, 2025 · strength 0.21
  13. Domenico Tamburrino · 1 shared paper, 2025 · strength 0.21
  14. Claudio Fiorino · 1 shared paper, 2022 · strength 0.15
  15. Martina Mori · 1 shared paper, 2022 · strength 0.15
  16. Marina Macchini · 1 shared paper, 2023 · strength 0.14
  17. Maria Chiara Petrone · 1 shared paper, 2023 · strength 0.14
  18. Giulia Orsi · 1 shared paper, 2023 · strength 0.14
  19. Gemma Rossi · 1 shared paper, 2023 · strength 0.14
  20. Carmen Belli · 1 shared paper, 2016 · strength 0.05
  21. Luca Porcu · 1 shared paper, 2016 · strength 0.05
  22. Erica Dugnani · 1 shared paper, 2016 · strength 0.05
  23. Lorenzo Piemonti · 1 shared paper, 2016 · strength 0.05
  24. Paola Allavena · 1 shared paper, 2016 · strength 0.05

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.