Pancreatic Cancer Research

ResearcherThe University of OsakaActive in the last 2 years

Noriyuki Tomiyama

Matched on ORCID iD 0000-0001-9918-7327; OpenAlex author ID A5034265751. Sources: OpenAlex.

Their work

Papers
8 (first author 0, last author 7)
Trials
0
Grants
0
Labs led
1
Collaborators
14
Papers, trials and grants by year

2015: 1 paper · 2016: none · 2017: 1 paper · 2018: none · 2019: 1 paper · 2020: none · 2021: none · 2022: 1 paper · 2023: 1 paper · 2024: 1 paper · 2025: 1 paper · 2026: 1 paper

Papers 8

  1. Shrinkage paradox in intraductal papillary mucinous neoplasms is associated with higher concomitant pancreatic cancer risk. Last author DOI 10.1007/s00330-026-12740-z↗
  2. Dynamic contrast-enhanced CT-derived extracellular volume fraction for predicting postoperative oncologic outcomes in pancreatic ductal adenocarcinoma. Last author DOI 10.1016/j.ejrad.2025.112246↗
  3. Pancreatic fibrosis assessment and association with pancreatic cancer: comparison with the extracellular volume fraction. Last author DOI 10.1016/j.crad.2024.08.007↗
  4. Immuno-PET and Targeted α-Therapy Using Anti-Glypican-1 Antibody Labeled with 89Zr or 211At: A Theranostic Approach for Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.2967/jnumed.123.266313↗
  5. Pancreatic fibrosis by extracellular volume fraction using Contrast-enhanced computed tomography and relationship with pancreatic cancer. Last author DOI 10.1016/j.ejrad.2022.110522↗
  6. Evaluation of fatty pancreas by proton density fat fraction using 3-T magnetic resonance imaging and its association with pancreatic cancer. Last author DOI 10.1016/j.ejrad.2019.06.024↗
  7. Volumetric parameters of 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography/computed tomography can predict histopathologic treatment response after … Last author DOI 10.1016/j.ejrad.2017.05.021↗
  8. Correlation between apparent diffusion coefficients on diffusion-weighted MRI and standardized uptake value on FDG-PET/CT in pancreatic adenocarcinoma. Last author DOI 10.1177/0284185114549825↗

Closest collaborators

The 14 strongest of 14 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Hidetoshi Eguchi · 7 shared papers, 2015–2026 · strength 0.98
  2. Yasunari Fukuda · 5 shared papers, 2019–2026 · strength 0.87
  3. Hideyuki Fukui · 5 shared papers, 2019–2026 · strength 0.87
  4. Daisaku Yamada · 5 shared papers, 2019–2026 · strength 0.87
  5. Takahiro Tsuboyama · 3 shared papers, 2017–2024 · strength 0.38
  6. Teppei Yoshioka · 1 shared paper, 2026 · strength 0.25
  7. Yutaka Takeda · 1 shared paper, 2024 · strength 0.18
  8. Tadashi Watabe · 1 shared paper, 2023 · strength 0.15
  9. Tetsuji Naka · 1 shared paper, 2023 · strength 0.15
  10. Yu Takeda · 1 shared paper, 2022 · strength 0.13
  11. Makoto Sakane · 2 shared papers, 2015–2017 · strength 0.11
  12. Jun Hatazawa · 2 shared papers, 2015–2017 · strength 0.11
  13. Eiji Miyoshi · 1 shared paper, 2019 · strength 0.08
  14. Hiroaki Nagano · 1 shared paper, 2015 · strength 0.05

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.