Pancreatic Cancer Research

ResearcherCalifornia Institute of TechnologyActive in the last 2 years

Lijia Luo

Matched on ORCID iD 0000-0001-7125-6562; OpenAlex author ID A5041390904. Sources: OpenAlex.

Their work

Papers
6 (first author 1, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
3
Papers, trials and grants by year

2022: 1 paper · 2023: 1 paper · 2024: 1 paper · 2025: 3 papers

Papers 6

  1. KRAS mRNA Spleen-Targeting Lipid Nanoparticles Synergize with Irinotecan Silicasomes to Robustly Augment the Cancer Immunity Cycle in Pancreatic Cancer. Co-author DOI 10.1002/advs.202504886↗
  2. Reprogramming the Tolerogenic Immune Response Against Pancreatic Cancer Metastases by Lipid Nanoparticles Delivering a STING Agonist Plus Mutant KRAS mRNA. Co-author DOI 10.1021/acsnano.4c14102↗
  3. Reprogramming Immunosuppressive Niches and the Cancer Immunity Cycle in Pancreatic Cancer with Neoantigen mRNA Plus Immune Adjuvant Nanocarrier Strategies. First author DOI 10.1021/acsnano.5c14753↗
  4. Reprogramming the pancreatic cancer stroma and immune landscape by a silicasome nanocarrier delivering nintedanib, a protein tyrosine kinase inhibitor. Co-author DOI 10.1016/j.nantod.2023.102058↗
  5. Correction to "Nanocarrier Co-formulation for Delivery of a TLR7 Agonist plus an Immunogenic Cell Death Stimulus Triggers Effective Pancreatic Cancer Chemo-imm… Co-author DOI 10.1021/acsnano.3c06667↗
  6. Nanocarrier Co-formulation for Delivery of a TLR7 Agonist plus an Immunogenic Cell Death Stimulus Triggers Effective Pancreatic Cancer Chemo-immunotherapy. Co-author DOI 10.1021/acsnano.2c06300↗

Closest collaborators

The 3 strongest of 3 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. André E. Nel · 6 shared papers, 2022–2025 · strength 1.76
  2. Xiang Wang · 5 shared papers, 2022–2025 · strength 1.50
  3. Xiao Xu · 1 shared paper, 2025 · strength 0.33

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.