ResearcherCentral European Institute of Technology – Masaryk UniversityNo recent work listed
Natalia Gabło
Matched on OpenAlex author ID A5090600806. Sources: OpenAlex.
Their work
- Papers
- 4 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 10
2018: 1 paper · 2019: 2 papers · 2020: 1 paper
Papers 4
- Identification and Validation of Circulating Micrornas as Prognostic Biomarkers in Pancreatic Ductal Adenocarcinoma Patients Undergoing Surgical Resection. Co-author DOI 10.3390/jcm9082440↗
- Cell-free microRNAs as Non-invasive Diagnostic and Prognostic Bio- markers in Pancreatic Cancer. Co-author DOI 10.2174/1389202921666191217095017↗
- Analysis of Blood Plasma MicroRNAs to Enable Identification of Patients with Pancreatic Ductal Adenocarcinoma Who Will Benefit from Surgical Resection Co-author PMID 31064193↗
- Pre-operative Plasma miR-21-5p Is a Sensitive Biomarker and Independent Prognostic Factor in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgical… First author DOI 10.21873/cgp.20090↗
Closest collaborators
The 10 strongest of 10 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Ondřej Slabý · 4 shared papers, 2018–2020 · strength 0.41
- Paper Cell-free microRNAs as Non-invasive Diagnostic and Prognostic Bio- markers in Pancreatic Cancer. DOI 10.2174/1389202921666191217095017↗
- Paper Analysis of Blood Plasma MicroRNAs to Enable Identification of Patients with Pancreatic Ductal Adenocarcinoma Who Will … PMID 31064193↗
- Paper Identification and Validation of Circulating Micrornas as Prognostic Biomarkers in Pancreatic Ductal Adenocarcinoma Pat… DOI 10.3390/jcm9082440↗
- Zdeněk Kala · 4 shared papers, 2018–2020 · strength 0.41
- Paper Cell-free microRNAs as Non-invasive Diagnostic and Prognostic Bio- markers in Pancreatic Cancer. DOI 10.2174/1389202921666191217095017↗
- Paper Analysis of Blood Plasma MicroRNAs to Enable Identification of Patients with Pancreatic Ductal Adenocarcinoma Who Will … PMID 31064193↗
- Paper Identification and Validation of Circulating Micrornas as Prognostic Biomarkers in Pancreatic Ductal Adenocarcinoma Pat… DOI 10.3390/jcm9082440↗
- Igor Kišš · 4 shared papers, 2018–2020 · strength 0.41
- Paper Cell-free microRNAs as Non-invasive Diagnostic and Prognostic Bio- markers in Pancreatic Cancer. DOI 10.2174/1389202921666191217095017↗
- Paper Analysis of Blood Plasma MicroRNAs to Enable Identification of Patients with Pancreatic Ductal Adenocarcinoma Who Will … PMID 31064193↗
- Paper Identification and Validation of Circulating Micrornas as Prognostic Biomarkers in Pancreatic Ductal Adenocarcinoma Pat… DOI 10.3390/jcm9082440↗
- Vladimír Procházka · 3 shared papers, 2018–2020 · strength 0.31
- Paper Cell-free microRNAs as Non-invasive Diagnostic and Prognostic Bio- markers in Pancreatic Cancer. DOI 10.2174/1389202921666191217095017↗
- Paper Identification and Validation of Circulating Micrornas as Prognostic Biomarkers in Pancreatic Ductal Adenocarcinoma Pat… DOI 10.3390/jcm9082440↗
- Paper Pre-operative Plasma miR-21-5p Is a Sensitive Biomarker and Independent Prognostic Factor in Patients with Pancreatic D… DOI 10.21873/cgp.20090↗
- Jan Hlavsa · 3 shared papers, 2018–2020 · strength 0.29
- Paper Analysis of Blood Plasma MicroRNAs to Enable Identification of Patients with Pancreatic Ductal Adenocarcinoma Who Will … PMID 31064193↗
- Paper Identification and Validation of Circulating Micrornas as Prognostic Biomarkers in Pancreatic Ductal Adenocarcinoma Pat… DOI 10.3390/jcm9082440↗
- Paper Pre-operative Plasma miR-21-5p Is a Sensitive Biomarker and Independent Prognostic Factor in Patients with Pancreatic D… DOI 10.21873/cgp.20090↗
- Martin Loveček · 1 shared paper, 2020 · strength 0.10
- Ioana Berindan‐Neagoe · 1 shared paper, 2020 · strength 0.10
- Markéta Hermanová · 1 shared paper, 2018 · strength 0.08
- Petra Vychytilova‐Faltejskova · 1 shared paper, 2018 · strength 0.08
- Petr Karásek · 1 shared paper, 2018 · strength 0.08
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.