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
2022: 1 paper · 2023: 1 paper · 2024: 2 papers · 2025: 1 paper · 2026: 4 papers
Papers 9
- Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer. Co-author DOI 10.1002/ags3.70078↗
- Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00535-026-02343-2↗
- 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↗
- A Pancreatic Ductal Adenocarcinoma Diagnostic System Using Serum Extracellular Vesicle Detection with Optimized Lectin Combination Using Machine Learning. First author DOI 10.3390/cancers18060924↗
- 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↗
- Prognosis prediction of PDAC via detection of O-glycan altered extracellular vesicles in perioperative sera. Co-author DOI 10.1111/cas.16341↗
- 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↗
- 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↗
- 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.
- Minoru Kitago · 9 shared papers, 2022–2026 · strength 1.81
- Paper Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer. DOI 10.1002/ags3.70078↗
- Paper Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. DOI 10.1007/s00535-026-02343-2↗
- Paper A Pancreatic Ductal Adenocarcinoma Diagnostic System Using Serum Extracellular Vesicle Detection with Optimized Lectin … DOI 10.3390/cancers18060924↗
- Yutaka Nakano · 5 shared papers, 2022–2026 · strength 1.06
- Paper Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer. DOI 10.1002/ags3.70078↗
- Paper Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. DOI 10.1007/s00535-026-02343-2↗
- Paper Efficacy and safety of chemoradiotherapy using gemcitabine plus nab-paclitaxel for unresectable locally advanced pancre… DOI 10.21203/rs.3.rs-4671932/v1↗
- Yuko Kitagawa · 4 shared papers, 2024–2026 · strength 1.00
- Paper Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer. DOI 10.1002/ags3.70078↗
- Paper Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. DOI 10.1007/s00535-026-02343-2↗
- Paper A Pancreatic Ductal Adenocarcinoma Diagnostic System Using Serum Extracellular Vesicle Detection with Optimized Lectin … DOI 10.3390/cancers18060924↗
- Shutaro Hori · 4 shared papers, 2024–2026 · strength 0.95
- Paper Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer. DOI 10.1002/ags3.70078↗
- Paper Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. DOI 10.1007/s00535-026-02343-2↗
- Paper Efficacy and safety of chemoradiotherapy using gemcitabine plus nab-paclitaxel for unresectable locally advanced pancre… DOI 10.21203/rs.3.rs-4671932/v1↗
- Yuta Abe · 4 shared papers, 2024–2026 · strength 0.95
- Paper Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer. DOI 10.1002/ags3.70078↗
- Paper Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. DOI 10.1007/s00535-026-02343-2↗
- Paper Efficacy and safety of chemoradiotherapy using gemcitabine plus nab-paclitaxel for unresectable locally advanced pancre… DOI 10.21203/rs.3.rs-4671932/v1↗
- Yohei Masugi · 5 shared papers, 2022–2026 · strength 0.89
- Paper Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. DOI 10.1007/s00535-026-02343-2↗
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Masayuki Tanaka · 3 shared papers, 2024–2026 · strength 0.69
- Paper Impact of Sarcopenia During Induction Treatment in Patients With Unresectable Locally Advanced Pancreatic Cancer. DOI 10.1002/ags3.70078↗
- Paper Efficacy and safety of chemoradiotherapy using gemcitabine plus nab-paclitaxel for unresectable locally advanced pancre… DOI 10.21203/rs.3.rs-4671932/v1↗
- Paper Prognosis prediction of PDAC via detection of O-glycan altered extracellular vesicles in perioperative sera. DOI 10.1111/cas.16341↗
- Yosuke Uematsu · 3 shared papers, 2025–2026 · strength 0.65
- Paper Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. DOI 10.1007/s00535-026-02343-2↗
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Yosuke Inoue · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Kiyoshi Hasegawa · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Manabu Takamatsu · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Tsuyoshi Takeda · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Tatsunori Suzuki · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Tsuyoshi Hamada · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Yu Takahashi · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Yousuke Nakai · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Mitsuhiro Fujishiro · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Naoki Sasahira · 4 shared papers, 2022–2026 · strength 0.63
- Paper Prognostic model for pancreatic cancer based on machine learning of routine slides and transcriptomic tumor analysis. DOI 10.1038/s41416-025-03308-7↗
- Paper Blood Group Antigen Expression in Blood and Tumor in Relation to Survival Outcomes in Resected Pancreatic Cancer, Overa… DOI 10.1245/s10434-025-17289-7↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Tatsuya Kawakami · 2 shared papers, 2024–2026 · strength 0.41
- Yasuaki Kabe · 2 shared papers, 2024–2026 · strength 0.41
- Gaku Shimane · 2 shared papers, 2023–2026 · strength 0.39
- Paper Preoperative CD44v6-positive extracellular vesicles as a prognostic biomarker in pancreatic ductal adenocarcinoma. DOI 10.1007/s00535-026-02343-2↗
- Paper Post-operative mortality and recurrence patterns in pancreatic cancer according to KRAS mutation and CDKN2A, p53, and S… DOI 10.1002/cjp2.323↗
- Michiie Sakamoto · 2 shared papers, 2022–2023 · strength 0.24
- Ayumi Kashiro · 1 shared paper, 2026 · strength 0.23
- Mutsuo Furihata · 1 shared paper, 2026 · strength 0.23
- 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.