Pancreatic Cancer Research

ResearcherJohns Hopkins UniversityActive in the last 2 years

Bernat Navarro-Serer

Matched on ORCID iD 0000-0002-3001-4951; OpenAlex author ID A5083673069. Sources: OpenAlex.

Closest collaborators

The 25 strongest of 28 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Laura DeLong Wood · 4 shared papers, 2020–2025 · strength 0.74
  2. Elana Judith Fertig · 2 shared papers, 2023–2025 · strength 0.34
  3. Yea Ji Jeong · 2 shared papers, 2020–2023 · strength 0.21
  4. Matthias M. Gaida · 2 shared papers, 2020–2023 · strength 0.21
  5. Kathleen Noller · 1 shared paper, 2025 · strength 0.20
  6. Benedict Kinny‐Köster · 1 shared paper, 2023 · strength 0.14
  7. James R. Eshleman · 1 shared paper, 2023 · strength 0.14
  8. Jacquelyn W. Zimmerman · 1 shared paper, 2023 · strength 0.14
  9. Alina Hasanain · 1 shared paper, 2020 · strength 0.07
  10. Bo Huang · 1 shared paper, 2020 · strength 0.07
  11. Sandra Elisabeth Fischer · 1 shared paper, 2020 · strength 0.07
  12. Jin Peng He · 1 shared paper, 2020 · strength 0.07
  13. Stefan Heinrich · 1 shared paper, 2020 · strength 0.07
  14. Kohei Fujikura · 1 shared paper, 2020 · strength 0.07
  15. Michael Johannes Pflüger · 1 shared paper, 2020 · strength 0.07
  16. Limin Xia · 1 shared paper, 2020 · strength 0.07
  17. Amer H. Zureikat · 1 shared paper, 2020 · strength 0.07
  18. Richard Andrew Burkhart · 1 shared paper, 2020 · strength 0.07
  19. A. Floortje van Oosten · 1 shared paper, 2020 · strength 0.07
  20. Wenjie Huang · 1 shared paper, 2020 · strength 0.07
  21. Christopher Lee Wolfgang · 1 shared paper, 2020 · strength 0.07
  22. Claudio Luchini · 1 shared paper, 2020 · strength 0.07
  23. Randall E. Brand · 1 shared paper, 2020 · strength 0.07
  24. Michael Goggins · 1 shared paper, 2020 · strength 0.07
  25. Nicholas Jason Roberts · 1 shared paper, 2020 · strength 0.07

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.