ResearcherThe Royal Free HospitalActive in the last 2 years
Pilar Acedo Núñez
Matched on ORCID iD 0000-0003-4815-6090; OpenAlex author ID A5056512778. Sources: OpenAlex.
Their work
- Papers
- 9 (first author 1, last author 3)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 36
2019: 1 paper · 2020: none · 2021: 2 papers · 2022: none · 2023: none · 2024: 1 paper · 2025: 2 papers · 2026: 3 papers
Papers 9
- Identification of serum protein biomarkers for pre-cancerous lesions associated with pancreatic ductal adenocarcinoma. Co-author DOI 10.1002/1878-0261.70213↗
- Associations Between Routinely Measured Biomarkers and Pancreatic Cancer Risk in Individuals with Type 2 Diabetes Pre- and Post-Diagnosis. Co-author DOI 10.3390/cancers18091428↗
- High-fat diet imprints a macrophage-tumor CAMP-P2RX7 axis driving pancreatic cancer initiation, plasticity and metastasis Co-author DOI 10.64898/2026.02.10.703309↗
- Breakthroughs in nanoparticle-based strategies for pancreatic cancer therapy. Last author DOI 10.1016/j.bcp.2024.116685↗
- Recommendations, evidence and sustainability of screening for pancreatic cancer in high-risk individuals. First author DOI 10.1016/j.bpg.2025.101974↗
- Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection. Co-author DOI 10.1371/journal.pcbi.1012408↗
- Smart Nanoparticles as Advanced Anti-Akt Kinase Delivery Systems for Pancreatic Cancer Therapy. Last author DOI 10.1021/acsami.1c14592↗
- The State-of-the-Art of Phase II/III Clinical Trials for Targeted Pancreatic Cancer Therapies. Last author DOI 10.3390/jcm10040566↗
- Targeting Pyruvate Kinase M2 and Lactate Dehydrogenase A Is an Effective Combination Strategy for the Treatment of Pancreatic Cancer. Co-author DOI 10.3390/cancers11091372↗
Closest collaborators
The 25 strongest of 36 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Stephen P. Pereira · 5 shared papers, 2019–2026 · strength 0.93
- Paper Identification of serum protein biomarkers for pre-cancerous lesions associated with pancreatic ductal adenocarcinoma. DOI 10.1002/1878-0261.70213↗
- Paper High-fat diet imprints a macrophage-tumor CAMP-P2RX7 axis driving pancreatic cancer initiation, plasticity and metastas… DOI 10.64898/2026.02.10.703309↗
- Paper Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early p… DOI 10.1371/journal.pcbi.1012408↗
- Alexander Ney · 2 shared papers, 2021–2024 · strength 0.36
- Aleksander M. Bogdanski · 1 shared paper, 2025 · strength 0.33
- Monique Esther van Leerdam · 1 shared paper, 2025 · strength 0.33
- Derk C.F. Klatte · 1 shared paper, 2025 · strength 0.33
- Michael B. Wallace · 1 shared paper, 2025 · strength 0.33
- Andrés García-Sampedro · 2 shared papers, 2021 · strength 0.32
- Sara Escalera-Anzola · 1 shared paper, 2025 · strength 0.30
- Mieke Van Hemelrijck · 1 shared paper, 2026 · strength 0.30
- Debashis Sarker · 1 shared paper, 2026 · strength 0.30
- Ziying Zhang · 1 shared paper, 2026 · strength 0.30
- Aida Santaolalla · 1 shared paper, 2026 · strength 0.30
- Hannah Mearns · 1 shared paper, 2026 · strength 0.28
- Sara R. Zanivan · 1 shared paper, 2026 · strength 0.28
- Kevin M. Ryan · 1 shared paper, 2026 · strength 0.28
- Patricia Sancho Andrés · 1 shared paper, 2026 · strength 0.21
- Beatriz Parejo-Alonso · 1 shared paper, 2026 · strength 0.21
- Antonio Agostini · 1 shared paper, 2026 · strength 0.21
- Sonia Alcalá · 1 shared paper, 2026 · strength 0.21
- Lívia Archibugi · 1 shared paper, 2026 · strength 0.21
- Juan Carlos López-Gil · 1 shared paper, 2026 · strength 0.21
- Ana Galván-del-Rey · 1 shared paper, 2026 · strength 0.21
- Mariano Barbacid · 1 shared paper, 2026 · strength 0.21
- Claudio Luchini · 1 shared paper, 2026 · strength 0.21
- Carmen E. Guerra · 1 shared paper, 2026 · strength 0.21
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.