ResearcherAmsterdam University Medical CentersActive in the last 2 years
Jisce R. Puik
Matched on ORCID iD 0000-0002-0545-1762; OpenAlex author ID A5043747138. Sources: OpenAlex.
Their work
- Papers
- 8 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 28
2021: 1 paper · 2022: 2 papers · 2023: 2 papers · 2024: 2 papers · 2025: 1 paper
Papers 8
- 18F-Prostate-Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN-2): a phase I/II study. Co-author DOI 10.1186/s40644-025-00822-y↗
- Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cancer. Co-author DOI 10.1016/j.jlb.2024.100152↗
- Unlocking the diagnostic power of plasma extracellular vesicle miR-200 family in pancreatic ductal adenocarcinoma. First author DOI 10.1186/s13046-024-03090-z↗
- Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. Co-author DOI 10.1001/jamanetworkopen.2023.31197↗
- hENT1 as a Predictive Biomarker in PDAC-Letter. Co-author DOI 10.1158/1078-0432.ccr-22-3827↗
- The Diagnostic Value of the CA19-9 and Bilirubin Ratio in Patients with Pancreatic Cancer, Distal Bile Duct Cancer and Benign Periampullary Diseases, a Novel A… Co-author DOI 10.3390/cancers14020344↗
- Novel Strategies to Address Critical Challenges in Pancreatic Cancer. Co-author DOI 10.3390/cancers14174115↗
- Antibiotics and Adverse Events in Patients with Pancreatic Cancer Treated with Gemcitabine: Looking for Novel Clinical and Preclinical Insights. Co-author DOI 10.1002/onco.13606↗
Closest collaborators
The 25 strongest of 28 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Geert Kazemier M · 8 shared papers, 2021–2025 · strength 1.43
- Paper 18F-Prostate-Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN-2): a phase… DOI 10.1186/s40644-025-00822-y↗
- Paper Novel Strategies to Address Critical Challenges in Pancreatic Cancer. DOI 10.3390/cancers14174115↗
- Paper hENT1 as a Predictive Biomarker in PDAC-Letter. DOI 10.1158/1078-0432.ccr-22-3827↗
- Elisa Giovannetti · 8 shared papers, 2021–2025 · strength 1.43
- Paper 18F-Prostate-Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN-2): a phase… DOI 10.1186/s40644-025-00822-y↗
- Paper Novel Strategies to Address Critical Challenges in Pancreatic Cancer. DOI 10.3390/cancers14174115↗
- Paper hENT1 as a Predictive Biomarker in PDAC-Letter. DOI 10.1158/1078-0432.ccr-22-3827↗
- Rutger‐Jan Swijnenburg · 4 shared papers, 2022–2025 · strength 0.79
- Paper 18F-Prostate-Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN-2): a phase… DOI 10.1186/s40644-025-00822-y↗
- Paper Novel Strategies to Address Critical Challenges in Pancreatic Cancer. DOI 10.3390/cancers14174115↗
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Laura L. Meijer · 4 shared papers, 2022–2024 · strength 0.65
- Paper hENT1 as a Predictive Biomarker in PDAC-Letter. DOI 10.1158/1078-0432.ccr-22-3827↗
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Paper Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. DOI 10.1001/jamanetworkopen.2023.31197↗
- Tessa Y. S. Le Large · 4 shared papers, 2022–2024 · strength 0.65
- Paper hENT1 as a Predictive Biomarker in PDAC-Letter. DOI 10.1158/1078-0432.ccr-22-3827↗
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Paper Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. DOI 10.1001/jamanetworkopen.2023.31197↗
- Lenka N.C. Boyd · 4 shared papers, 2022–2024 · strength 0.65
- Paper hENT1 as a Predictive Biomarker in PDAC-Letter. DOI 10.1158/1078-0432.ccr-22-3827↗
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Paper Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. DOI 10.1001/jamanetworkopen.2023.31197↗
- Hanneke W.M. van Laarhoven · 4 shared papers, 2022–2024 · strength 0.65
- Paper hENT1 as a Predictive Biomarker in PDAC-Letter. DOI 10.1158/1078-0432.ccr-22-3827↗
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Paper Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. DOI 10.1001/jamanetworkopen.2023.31197↗
- Annalisa Comandatore · 3 shared papers, 2023–2024 · strength 0.48
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Paper Unlocking the diagnostic power of plasma extracellular vesicle miR-200 family in pancreatic ductal adenocarcinoma. DOI 10.1186/s13046-024-03090-z↗
- Paper Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. DOI 10.1001/jamanetworkopen.2023.31197↗
- Marc G. Besselink · 3 shared papers, 2023–2024 · strength 0.48
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Paper Unlocking the diagnostic power of plasma extracellular vesicle miR-200 family in pancreatic ductal adenocarcinoma. DOI 10.1186/s13046-024-03090-z↗
- Paper Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. DOI 10.1001/jamanetworkopen.2023.31197↗
- Luca Morelli · 3 shared papers, 2023–2024 · strength 0.48
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Paper Unlocking the diagnostic power of plasma extracellular vesicle miR-200 family in pancreatic ductal adenocarcinoma. DOI 10.1186/s13046-024-03090-z↗
- Paper Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. DOI 10.1001/jamanetworkopen.2023.31197↗
- Adam Enver Frampton · 3 shared papers, 2023–2024 · strength 0.48
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Paper Unlocking the diagnostic power of plasma extracellular vesicle miR-200 family in pancreatic ductal adenocarcinoma. DOI 10.1186/s13046-024-03090-z↗
- Paper Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers. DOI 10.1001/jamanetworkopen.2023.31197↗
- Johanna W. Wilmink · 2 shared papers, 2024–2025 · strength 0.41
- Paper 18F-Prostate-Specific Membrane Antigen PET/CT imaging for potentially resectable pancreatic cancer (PANSCAN-2): a phase… DOI 10.1186/s40644-025-00822-y↗
- Paper Plasma miR-379 can predict treatment response to FOLFIRINOX and gemcitabine-nab-paclitaxel in advanced pancreatic cance… DOI 10.1016/j.jlb.2024.100152↗
- Ingrid Garajová · 2 shared papers, 2023–2024 · strength 0.32
- Joanne Verheij · 1 shared paper, 2025 · strength 0.24
- Thomas T. Poels · 1 shared paper, 2025 · strength 0.24
- Andrea Mambrini · 1 shared paper, 2024 · strength 0.17
- Mahrou Vahabi · 1 shared paper, 2024 · strength 0.16
- Benoît Immordino · 1 shared paper, 2024 · strength 0.16
- Daniel Liu · 1 shared paper, 2024 · strength 0.16
- Jonathan Krell · 1 shared paper, 2024 · strength 0.16
- Long R. Jiao · 1 shared paper, 2024 · strength 0.16
- Shivan Sivakumar · 1 shared paper, 2024 · strength 0.16
- Btissame El Hassouni · 1 shared paper, 2021 · strength 0.16
- Alessandro Gregori · 1 shared paper, 2021 · strength 0.16
- Dongmei Deng · 1 shared paper, 2021 · strength 0.16
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.