Pancreatic Cancer Research

ResearcherChiba UniversityNo recent work listed

Yasukuni Mori

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0002-9276-1725; OpenAlex author ID A5109356942. Sources: OpenAlex.

Their work

Papers
4
Trials
0
Grants
0
Labs led
0
Collaborators
9
Papers, trials and grants by year

2020: 1 paper · 2021: 1 paper · 2022: 2 papers

Papers 4

  1. Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. Co-author DOI 10.1371/journal.pone.0268630↗
  2. Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic … Co-author DOI 10.3892/ijo.2022.5350↗
  3. Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer. Co-author DOI 10.1038/s41598-021-95969-6↗
  4. Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer. Co-author DOI 10.1038/s41416-020-0997-1↗

Closest collaborators

The 9 strongest of 9 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Yosuke Iwatate · 4 shared papers, 2020–2022 · strength 0.50
  2. Takashi Uno · 3 shared papers, 2021–2022 · strength 0.40
  3. Fumitaka Ishige · 3 shared papers, 2020–2022 · strength 0.36
  4. Hidehito Arimitsu · 3 shared papers, 2020–2022 · strength 0.36
  5. Hiroki Nagase · 3 shared papers, 2020–2022 · strength 0.36
  6. Wataru Takayama · 3 shared papers, 2020–2022 · strength 0.36
  7. Naoki Kuwayama · 2 shared papers, 2022 · strength 0.25
  8. Osamu Shimozato · 2 shared papers, 2022 · strength 0.25
  9. Hiroki Suyari · 1 shared paper, 2021 · 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.