Pancreatic Cancer Research

ResearcherUniversity of Milano-BicoccaActive in the last 2 years

Luca Vittorio Gianotti

Matched on ORCID iD 0000-0001-7335-8394; OpenAlex author ID A5013102708. Sources: OpenAlex.

Their work

Papers
9 (first author 1, last author 1)
Trials
0
Grants
0
Labs led
0
Collaborators
44
Papers, trials and grants by year

2016: 1 paper · 2017: none · 2018: 1 paper · 2019: none · 2020: 1 paper · 2021: 1 paper · 2022: none · 2023: 4 papers · 2024: none · 2025: none · 2026: 1 paper

Papers 9

  1. Pancreatic cancer surgery in Italy: an updated snapshot from a national multicentre analysis of outcomes by hospital volume. Co-author DOI 10.1007/s13304-026-02813-5↗
  2. Immunonutrition and prehabilitation in pancreatic cancer surgery: A new concept in the era of ERAS® and neoadjuvant treatment. First author DOI 10.1016/j.ejso.2022.12.006↗
  3. Body composition parameters, immunonutritional indexes, and surgical outcome of pancreatic cancer patients resected after neoadjuvant therapy: A retrospective,… Co-author DOI 10.3389/fnut.2023.1065294↗
  4. Independent effect of fat-to-muscle mass ratio at bioimpedance analysis on long-term survival in patients receiving surgery for pancreatic cancer. Last author DOI 10.3389/fnut.2023.1118616↗
  5. Corrigendum: Body composition parameters, immunonutritional indexes, and surgical outcome of pancreatic cancer patients resected after neoadjuvant therapy: a r… Co-author DOI 10.3389/fnut.2023.1212436↗
  6. Resectability of Pancreatic Cancer Is in the Eye of the Observer: A Multicenter, Blinded, Prospective Assessment of Interobserver Agreement on NCCN Resectabili… Co-author DOI 10.1097/as9.0000000000000087↗
  7. Prognostic Impact of Preoperative Nutritional Risk in Patients Who Undergo Surgery for Pancreatic Adenocarcinoma. Co-author DOI 10.1245/s10434-020-08515-5↗
  8. Association Between Changes in Body Composition and Neoadjuvant Treatment for Pancreatic Cancer. Co-author DOI 10.1001/jamasurg.2018.0979↗
  9. The prognostic impact of para-aortic lymph node metastasis in pancreatic cancer: A systematic review and meta-analysis. Co-author DOI 10.1016/j.ejso.2016.02.003↗

Closest collaborators

The 25 strongest of 44 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Roberto Salvia · 7 shared papers, 2016–2023 · strength 0.82
  2. Marta Sandini · 7 shared papers, 2016–2023 · strength 0.78
  3. Salvatore Paiella · 7 shared papers, 2016–2023 · strength 0.78
  4. Alessandro Zerbi · 5 shared papers, 2021–2023 · strength 0.66
  5. Claudio Bassi · 6 shared papers, 2016–2023 · strength 0.63
  6. Giuseppe Malleo · 5 shared papers, 2020–2023 · strength 0.59
  7. Giovanni Luigi Capretti · 4 shared papers, 2021–2023 · strength 0.51
  8. Riccardo Casadei · 3 shared papers, 2021–2023 · strength 0.36
  9. Erica Secchettin · 3 shared papers, 2020–2023 · strength 0.35
  10. Ilaria Trestini · 3 shared papers, 2020–2023 · strength 0.35
  11. Michèle Milella · 3 shared papers, 2020–2023 · strength 0.35
  12. Matteo De Pastena · 2 shared papers, 2023 · strength 0.26
  13. Darío Gregori · 2 shared papers, 2023 · strength 0.26
  14. Carlo Ingaldi · 2 shared papers, 2023 · strength 0.26
  15. Giulia Angela Zamboni · 2 shared papers, 2023 · strength 0.26
  16. Gennaro Nappo · 2 shared papers, 2023 · strength 0.26
  17. Laura Maggino · 2 shared papers, 2023 · strength 0.26
  18. Claudio Ricci · 2 shared papers, 2023 · strength 0.26
  19. Raffaele De Luca · 2 shared papers, 2021–2023 · strength 0.24
  20. Ugo Boggi · 2 shared papers, 2021–2023 · strength 0.24
  21. Massimo Falconi · 2 shared papers, 2021–2023 · strength 0.24
  22. Andrea Pietrabissa · 1 shared paper, 2023 · strength 0.15
  23. Nicolò Pecorelli · 1 shared paper, 2023 · strength 0.15
  24. Oronzo Brunetti · 1 shared paper, 2023 · strength 0.15
  25. Riccardo Caccialanza · 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.