ResearcherMemorial Sloan Kettering Cancer CenterActive in the last 2 years
Alessandra Pulvirenti
Matched on ORCID iD 0000-0001-9542-9165; OpenAlex author ID A5075130652. Sources: OpenAlex.
Their work
- Papers
- 6 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 53
2021: 1 paper · 2022: none · 2023: 2 papers · 2024: 2 papers · 2025: none · 2026: 1 paper
Papers 6
- Clonal evolutionary analysis reveals patterns of malignant transformation of Intraductal Papillary Mucinous Neoplasms of the pancreas. Co-author DOI 10.1038/s41467-026-69762-w↗
- Distinct clinical outcomes and biological features of specific KRAS mutants in human pancreatic cancer. Co-author DOI 10.1016/j.ccell.2024.08.002↗
- Integrating metabolic profiling of pancreatic juice with transcriptomic analysis of pancreatic cancer tissue identifies distinct clinical subgroups. Co-author DOI 10.3389/fonc.2024.1405612↗
- The Impact of Molecular Subtyping on Pathological Staging of Pancreatic Cancer. Co-author DOI 10.1097/sla.0000000000005050↗
- Performance of the 7 th and 8 th Editions of the American Joint Committee on Cancer Staging System in Patients with Intraductal Papillary Mucinous Neoplasm-Ass… First author DOI 10.1097/sla.0000000000005313↗
- Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelligence-Based Model. Co-author DOI 10.1200/cci.21.00001↗
Closest collaborators
The 25 strongest of 53 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Antonio Pea · 3 shared papers, 2023–2026 · strength 0.52
- Paper Clonal evolutionary analysis reveals patterns of malignant transformation of Intraductal Papillary Mucinous Neoplasms o… DOI 10.1038/s41467-026-69762-w↗
- Paper Integrating metabolic profiling of pancreatic juice with transcriptomic analysis of pancreatic cancer tissue identifies… DOI 10.3389/fonc.2024.1405612↗
- Paper The Impact of Molecular Subtyping on Pathological Staging of Pancreatic Cancer. DOI 10.1097/sla.0000000000005050↗
- Nigel Balfour Jamieson · 3 shared papers, 2023–2026 · strength 0.52
- Paper Clonal evolutionary analysis reveals patterns of malignant transformation of Intraductal Papillary Mucinous Neoplasms o… DOI 10.1038/s41467-026-69762-w↗
- Paper Integrating metabolic profiling of pancreatic juice with transcriptomic analysis of pancreatic cancer tissue identifies… DOI 10.3389/fonc.2024.1405612↗
- Paper The Impact of Molecular Subtyping on Pathological Staging of Pancreatic Cancer. DOI 10.1097/sla.0000000000005050↗
- Alessandro Zerbi · 3 shared papers, 2021–2024 · strength 0.40
- Paper Integrating metabolic profiling of pancreatic juice with transcriptomic analysis of pancreatic cancer tissue identifies… DOI 10.3389/fonc.2024.1405612↗
- Paper The Impact of Molecular Subtyping on Pathological Staging of Pancreatic Cancer. DOI 10.1097/sla.0000000000005050↗
- Paper Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelli… DOI 10.1200/cci.21.00001↗
- Stephan B. Dreyer · 2 shared papers, 2023–2026 · strength 0.35
- Colin J. McKay · 2 shared papers, 2023–2026 · strength 0.35
- Rita Teresa Lawlor · 2 shared papers, 2023–2026 · strength 0.35
- Aldo Scarpa · 2 shared papers, 2023–2026 · strength 0.35
- Roberto Salvia · 2 shared papers, 2023–2026 · strength 0.35
- Federica Marchesi · 2 shared papers, 2023–2024 · strength 0.30
- David Kuang-Fu Chang · 2 shared papers, 2023–2024 · strength 0.30
- Katharina Beyer · 2 shared papers, 2021–2023 · strength 0.24
- Paper Performance of the 7 th and 8 th Editions of the American Joint Committee on Cancer Staging System in Patients with Int… DOI 10.1097/sla.0000000000005313↗
- Paper Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelli… DOI 10.1200/cci.21.00001↗
- Carsten Kamphues · 2 shared papers, 2021–2023 · strength 0.24
- Paper Performance of the 7 th and 8 th Editions of the American Joint Committee on Cancer Staging System in Patients with Int… DOI 10.1097/sla.0000000000005313↗
- Paper Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelli… DOI 10.1200/cci.21.00001↗
- Georgios Antonios Margonis · 2 shared papers, 2021–2023 · strength 0.24
- Paper Performance of the 7 th and 8 th Editions of the American Joint Committee on Cancer Staging System in Patients with Int… DOI 10.1097/sla.0000000000005313↗
- Paper Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelli… DOI 10.1200/cci.21.00001↗
- Christopher Lee Wolfgang · 2 shared papers, 2021–2023 · strength 0.24
- Paper Performance of the 7 th and 8 th Editions of the American Joint Committee on Cancer Staging System in Patients with Int… DOI 10.1097/sla.0000000000005313↗
- Paper Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelli… DOI 10.1200/cci.21.00001↗
- Matthew John Weiss · 2 shared papers, 2021–2023 · strength 0.24
- Paper Performance of the 7 th and 8 th Editions of the American Joint Committee on Cancer Staging System in Patients with Int… DOI 10.1097/sla.0000000000005313↗
- Paper Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelli… DOI 10.1200/cci.21.00001↗
- Caitlin A. McIntyre · 2 shared papers, 2021–2024 · strength 0.24
- David K. Chang · 1 shared paper, 2026 · strength 0.22
- Fieke E. M. Froeling · 1 shared paper, 2026 · strength 0.22
- Claudio Luchini · 1 shared paper, 2026 · strength 0.22
- Giovanni Luigi Capretti · 1 shared paper, 2024 · strength 0.17
- Gennaro Nappo · 1 shared paper, 2024 · strength 0.17
- Marialuisa Barbagallo · 1 shared paper, 2024 · strength 0.17
- Nina Cortese · 1 shared paper, 2024 · strength 0.17
- Carlos F. Fernandez-del Castillo · 1 shared paper, 2023 · strength 0.15
- Peter J. Allen · 1 shared paper, 2023 · strength 0.15
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.