Pancreatic Cancer Research

ResearcherUniversità di CamerinoActive in the last 2 years

Luca Digiacomo

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

Matched on ORCID iD 0000-0003-3362-7160; OpenAlex author ID A5082409429. Sources: OpenAlex.

Their work

Papers
10 (first author 2, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
12
Papers, trials and grants by year

2016: 1 paper · 2017: none · 2018: 1 paper · 2019: 1 paper · 2020: 2 papers · 2021: 2 papers · 2022: 1 paper · 2023: 1 paper · 2024: none · 2025: 1 paper

Papers 10

  1. Nanoparticle-protein corona enhances accuracy of Ca-19.9-based pancreatic cancer classification. Co-author DOI 10.1039/d4nr02435d↗
  2. Stratifying Risk for Pancreatic Cancer by Multiplexed Blood Test. Co-author DOI 10.3390/cancers15112983↗
  3. Multiplexed Detection of Pancreatic Cancer by Combining a Nanoparticle-Enabled Blood Test and Plasma Levels of Acute-Phase Proteins. Co-author DOI 10.3390/cancers14194658↗
  4. Efficient pancreatic cancer detection through personalized protein corona of gold nanoparticles. Co-author DOI 10.1116/6.0000540↗
  5. Detection of Pancreatic Ductal Adenocarcinoma by Ex Vivo Magnetic Levitation of Plasma Protein-Coated Nanoparticles. Co-author DOI 10.3390/cancers13205155↗
  6. Personalized Graphene Oxide-Protein Corona in the Human Plasma of Pancreatic Cancer Patients. First author DOI 10.3389/fbioe.2020.00491↗
  7. Synergistic Analysis of Protein Corona and Haemoglobin Levels Detects Pancreatic Cancer. First author DOI 10.3390/cancers13010093↗
  8. Protein Corona Fingerprints of Liposomes: New Opportunities for Targeted Drug Delivery and Early Detection in Pancreatic Cancer. Co-author DOI 10.3390/pharmaceutics11010031↗
  9. Improving the accuracy of pancreatic cancer clinical staging by exploitation of nanoparticle-blood interactions: A pilot study. Co-author DOI 10.1016/j.pan.2018.06.002↗
  10. Personalized liposome-protein corona in the blood of breast, gastric and pancreatic cancer patients. Co-author DOI 10.1016/j.biocel.2015.09.002↗

Closest collaborators

The 12 strongest of 12 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Giulio Caracciolo · 10 shared papers, 2016–2025 · strength 1.32
  2. Daniela Pozzi · 10 shared papers, 2016–2025 · strength 1.32
  3. Damiano D. Caputo · 9 shared papers, 2018–2025 · strength 1.26
  4. Roberto Coppola · 9 shared papers, 2018–2025 · strength 1.26
  5. Erica Quagliarini · 6 shared papers, 2020–2025 · strength 0.93
  6. Sara Palchetti · 5 shared papers, 2016–2021 · strength 0.50
  7. Roberto Cammarata · 2 shared papers, 2022–2025 · strength 0.37
  8. Vincenzo La Vaccara · 2 shared papers, 2021–2025 · strength 0.36
  9. Heinz Wilfried Amenitsch · 2 shared papers, 2021–2025 · strength 0.36
  10. Riccardo Di Santo · 3 shared papers, 2020–2022 · strength 0.36
  11. Alessandro Coppola · 2 shared papers, 2021–2022 · strength 0.27
  12. Valentina Colapicchioni · 1 shared paper, 2016 · strength 0.06

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.