Pancreatic Cancer Research

ResearcherUniversity of California San DiegoNo recent work listed

Michael A. Turner

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0001-8949-3136; OpenAlex author ID A5013221670. Sources: OpenAlex.

Their work

Papers
4 (first author 2, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
10
Papers, trials and grants by year

2022: 2 papers · 2023: 2 papers

Papers 4

  1. Proof of Principle of Combining Fluorescence-Guided Surgery with Photoimmunotherapy to Improve the Outcome of Pancreatic Cancer Therapy in an Orthotopic Mouse … First author DOI 10.1245/s10434-022-12466-4↗
  2. Highly Selective Targeting of Pancreatic Cancer in the Liver with a Near-Infrared Anti-MUC5AC Probe in a PDOX Mouse Model: A Proof-of-Concept Study. Co-author DOI 10.3390/jpm13050857↗
  3. Fluorescent Anti-MUC5AC Brightly Targets Pancreatic Cancer in a Patient-derived Orthotopic Xenograft. Co-author DOI 10.21873/invivo.12676↗
  4. Fluorescent Anti-CEA Nanobody for Rapid Tumor-Targeting and Imaging in Mouse Models of Pancreatic Cancer. First author DOI 10.3390/biom12050711↗

Closest collaborators

The 10 strongest of 10 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Michael Bouvet · 4 shared papers, 2022–2023 · strength 0.67
  2. Hiroto Nishino · 4 shared papers, 2022–2023 · strength 0.67
  3. Robert M. Hoffman · 4 shared papers, 2022–2023 · strength 0.67
  4. Thinzar Min Lwin · 3 shared papers, 2022–2023 · strength 0.51
  5. Surinder K. Batra · 2 shared papers, 2022–2023 · strength 0.30
  6. Kavita B. Mallya · 2 shared papers, 2022–2023 · strength 0.30
  7. Kristin E. Cox · 1 shared paper, 2023 · strength 0.16
  8. Aaron M. Mohs · 1 shared paper, 2023 · strength 0.16
  9. Andrew M. Lowy · 1 shared paper, 2022 · strength 0.14
  10. Sukhwinder Kaur · 1 shared paper, 2022 · strength 0.14

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.