Pancreatic Cancer Research

ResearcherKeio UniversityActive in the last 2 years

Sho Uemura

Matched on ORCID iD 0009-0000-4512-4355; OpenAlex author ID A5049128290, A5122729270. Sources: OpenAlex.

Their work

Papers
9 (first author 1, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
38
Papers, trials and grants by year

2022: 1 paper · 2023: 1 paper · 2024: 2 papers · 2025: 1 paper · 2026: 4 papers

Papers 9

  1. Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer. Co-author DOI 10.1002/ags3.70078↗
  2. Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00535-026-02343-2↗
  3. Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. Co-author DOI 10.1038/s41416-025-03308-7↗
  4. A Pancreatic Ductal Adenocarcinoma Diagnostic System Using Serum Extracellular Vesicle Detection with Optimized Lectin Combination Using Machine Learning. First author DOI 10.3390/cancers18060924↗
  5. Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overall and by Adjuvant Chemotherapy Regimens. Co-author DOI 10.1245/s10434-025-17289-7↗
  6. Prognosis prediction of PDAC via detection of O-glycan altered extracellular vesicles in perioperative sera. Co-author DOI 10.1111/cas.16341↗
  7. Efficacy and safety of chemoradiotherapy using gemcitabine plus nab-paclitaxel for unresectable locally advanced pancreatic cancer Co-author DOI 10.21203/rs.3.rs-4671932/v1↗
  8. Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and SMAD4 expression. Co-author DOI 10.1002/cjp2.323↗
  9. KRAS variant allele frequency, but not mutation positivity, associates with survival of patients with pancreatic cancer. Co-author DOI 10.1111/cas.15398↗

Closest collaborators

The 25 strongest of 38 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Minoru Kitago · 9 shared papers, 2022–2026 · strength 1.81
  2. Yutaka Nakano · 5 shared papers, 2022–2026 · strength 1.06
  3. Yuko Kitagawa · 4 shared papers, 2024–2026 · strength 1.00
  4. Shutaro Hori · 4 shared papers, 2024–2026 · strength 0.95
  5. Yuta Abe · 4 shared papers, 2024–2026 · strength 0.95
  6. Yohei Masugi · 5 shared papers, 2022–2026 · strength 0.89
  7. Masayuki Tanaka · 3 shared papers, 2024–2026 · strength 0.69
  8. Yosuke Uematsu · 3 shared papers, 2025–2026 · strength 0.65
  9. Yosuke Inoue · 4 shared papers, 2022–2026 · strength 0.63
  10. Kiyoshi Hasegawa · 4 shared papers, 2022–2026 · strength 0.63
  11. Manabu Takamatsu · 4 shared papers, 2022–2026 · strength 0.63
  12. Tsuyoshi Takeda · 4 shared papers, 2022–2026 · strength 0.63
  13. Tatsunori Suzuki · 4 shared papers, 2022–2026 · strength 0.63
  14. Tsuyoshi Hamada · 4 shared papers, 2022–2026 · strength 0.63
  15. Yu Takahashi · 4 shared papers, 2022–2026 · strength 0.63
  16. Yousuke Nakai · 4 shared papers, 2022–2026 · strength 0.63
  17. Mitsuhiro Fujishiro · 4 shared papers, 2022–2026 · strength 0.63
  18. Naoki Sasahira · 4 shared papers, 2022–2026 · strength 0.63
  19. Tatsuya Kawakami · 2 shared papers, 2024–2026 · strength 0.41
  20. Yasuaki Kabe · 2 shared papers, 2024–2026 · strength 0.41
  21. Gaku Shimane · 2 shared papers, 2023–2026 · strength 0.39
  22. Michiie Sakamoto · 2 shared papers, 2022–2023 · strength 0.24
  23. Ayumi Kashiro · 1 shared paper, 2026 · strength 0.23
  24. Mutsuo Furihata · 1 shared paper, 2026 · strength 0.23
  25. Atsushi Kuno · 1 shared paper, 2026 · strength 0.23

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.