ResearcherIstituto Oncologico VenetoNo recent work listed
Daniele Nucci
Matched on ORCID iD 0000-0003-4546-213X; OpenAlex author ID A5023892135.
Their work
- Papers
- 4 (first author 2, last author 1)
- Trials
- 0
- Grants
- 0
- Collaborators
- 2
2021: 1 paper · 2022: 1 paper · 2023: 2 papers
Papers 4
- Using Google Trends and Wikipedia to Investigate the Global Public's Interest in the Pancreatic Cancer Diagnosis of a Celebrity. Co-author DOI 10.3390/ijerph20032106↗
- Adherence to Mediterranean Diet and Risk of Pancreatic Cancer: Systematic Review and Meta-Analysis. First author DOI 10.3390/ijerph20032403↗
- Diets, Dietary Patterns, Single Foods and Pancreatic Cancer Risk: An Umbrella Review of Meta-Analyses. Last author DOI 10.3390/ijerph192214787↗
- Dietary Fiber Intake and Risk of Pancreatic Cancer: Systematic Review and Meta-Analysis of Observational Studies. First author DOI 10.3390/ijerph182111556↗
Closest collaborators
The 2 strongest of 2 ranked by shared papers, trials and grants, with recent and small-team work weighing most.
- Vincenza Gianfredi · 4 shared papers, 2021–2023
- Paper Using Google Trends and Wikipedia to Investigate the Global Public's Interest in the Pancreatic Cancer Diagnosis of a C… DOI 10.3390/ijerph20032106↗
- Paper Diets, Dietary Patterns, Single Foods and Pancreatic Cancer Risk: An Umbrella Review of Meta-Analyses. DOI 10.3390/ijerph192214787↗
- Paper Adherence to Mediterranean Diet and Risk of Pancreatic Cancer: Systematic Review and Meta-Analysis. DOI 10.3390/ijerph20032403↗
- Sandro Provenzano · 2 shared papers, 2021–2023
- Paper Using Google Trends and Wikipedia to Investigate the Global Public's Interest in the Pancreatic Cancer Diagnosis of a C… DOI 10.3390/ijerph20032106↗
- Paper Dietary Fiber Intake and Risk of Pancreatic Cancer: Systematic Review and Meta-Analysis of Observational Studies. DOI 10.3390/ijerph182111556↗
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (the fewest links first, then the links with the most shared work). Built from public records only; no contact details are kept.