ResearcherUniversitat de BarcelonaNo recent work listed

Victòria Sanz‐Nebot

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

Matched on ORCID iD 0000-0002-3048-0573; OpenAlex author ID A5052556333. Sources: OpenAlex.

Their work

Papers: 2 (first author 0, last author 1)
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 4

Papers, trials and grants by year

2016: 1 paper · 2017: none · 2018: none · 2019: 1 paper

Papers 2

Multivariate data analysis for the detection of human alpha-acid glycoprotein aberrant glycosylation in pancreatic ductal adenocarcinoma. Last author DOI 10.1016/j.jprot.2019.01.006 ↗
Increased α1-3 fucosylation of α-1-acid glycoprotein (AGP) in pancreatic cancer. Co-author DOI 10.1016/j.jprot.2015.11.006 ↗

Closest collaborators

The 4 strongest of 4 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Meritxell Balmaña · 2 shared papers, 2016–2019 · strength 0.15
- Paper Multivariate data analysis for the detection of human alpha-acid glycoprotein aberrant glycosylation in pancreatic duct… DOI 10.1016/j.jprot.2019.01.006 ↗
- Paper Increased α1-3 fucosylation of α-1-acid glycoprotein (AGP) in pancreatic cancer. DOI 10.1016/j.jprot.2015.11.006 ↗
Rosa Peracaula · 2 shared papers, 2016–2019 · strength 0.15
- Paper Multivariate data analysis for the detection of human alpha-acid glycoprotein aberrant glycosylation in pancreatic duct… DOI 10.1016/j.jprot.2019.01.006 ↗
- Paper Increased α1-3 fucosylation of α-1-acid glycoprotein (AGP) in pancreatic cancer. DOI 10.1016/j.jprot.2015.11.006 ↗
Montserrat Mancera-Arteu · 1 shared paper, 2019 · strength 0.10
- Paper Multivariate data analysis for the detection of human alpha-acid glycoprotein aberrant glycosylation in pancreatic duct… DOI 10.1016/j.jprot.2019.01.006 ↗
Esther Llop · 1 shared paper, 2016 · strength 0.05
- Paper Increased α1-3 fucosylation of α-1-acid glycoprotein (AGP) in pancreatic cancer. DOI 10.1016/j.jprot.2015.11.006 ↗

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.