ResearcherTokyo Medical UniversityActive in the last 2 years
Naoyoshi Nagata
Matched on ORCID iD 0000-0002-7255-4024; OpenAlex author ID A5078500537. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 2, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 17
2016: 1 paper · 2017: 1 paper · 2018: none · 2019: none · 2020: none · 2021: 1 paper · 2022: 1 paper · 2023: none · 2024: 1 paper
Papers 5
- Identifying predictors for comorbidities related mortality versus pancreatic cancer related mortality in patients with intraductal papillary mucinous neoplasm. First author DOI 10.1002/ueg2.12540↗
- Metagenomic Identification of Microbial Signatures Predicting Pancreatic Cancer From a Multinational Study. Co-author DOI 10.1053/j.gastro.2022.03.054↗
- Deep learning analysis for the detection of pancreatic cancer on endosonographic images: a pilot study. Co-author DOI 10.1002/jhbp.825↗
- Effect of low-dose aspirin use on pancreatic cancer development and morphological changes on imaging in IPMN: A long-term cohort study. First author DOI 10.1177/2050640617693524↗
- Development of Pancreatic Cancer, Disease-specific Mortality, and All-Cause Mortality in Patients with Nonresected IPMNs: A Long-term Cohort Study. Co-author DOI 10.1148/radiol.2015150131↗
Closest collaborators
The 17 strongest of 17 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Takao Itoi · 3 shared papers, 2021–2024 · strength 0.43
- Paper Identifying predictors for comorbidities related mortality versus pancreatic cancer related mortality in patients with … DOI 10.1002/ueg2.12540↗
- Paper Deep learning analysis for the detection of pancreatic cancer on endosonographic images: a pilot study. DOI 10.1002/jhbp.825↗
- Paper Metagenomic Identification of Microbial Signatures Predicting Pancreatic Cancer From a Multinational Study. DOI 10.1053/j.gastro.2022.03.054↗
- Katsunori Sekine · 4 shared papers, 2016–2024 · strength 0.41
- Paper Identifying predictors for comorbidities related mortality versus pancreatic cancer related mortality in patients with … DOI 10.1002/ueg2.12540↗
- Paper Metagenomic Identification of Microbial Signatures Predicting Pancreatic Cancer From a Multinational Study. DOI 10.1053/j.gastro.2022.03.054↗
- Paper Effect of low-dose aspirin use on pancreatic cancer development and morphological changes on imaging in IPMN: A long-te… DOI 10.1177/2050640617693524↗
- Naomi Uemura · 4 shared papers, 2016–2024 · strength 0.41
- Paper Identifying predictors for comorbidities related mortality versus pancreatic cancer related mortality in patients with … DOI 10.1002/ueg2.12540↗
- Paper Metagenomic Identification of Microbial Signatures Predicting Pancreatic Cancer From a Multinational Study. DOI 10.1053/j.gastro.2022.03.054↗
- Paper Effect of low-dose aspirin use on pancreatic cancer development and morphological changes on imaging in IPMN: A long-te… DOI 10.1177/2050640617693524↗
- Yuya Hisada · 3 shared papers, 2017–2024 · strength 0.36
- Paper Identifying predictors for comorbidities related mortality versus pancreatic cancer related mortality in patients with … DOI 10.1002/ueg2.12540↗
- Paper Metagenomic Identification of Microbial Signatures Predicting Pancreatic Cancer From a Multinational Study. DOI 10.1053/j.gastro.2022.03.054↗
- Paper Effect of low-dose aspirin use on pancreatic cancer development and morphological changes on imaging in IPMN: A long-te… DOI 10.1177/2050640617693524↗
- Shuntaro Mukai · 2 shared papers, 2021–2024 · strength 0.32
- Takashi Kawai · 2 shared papers, 2022–2024 · strength 0.30
- Kenjiro Yamamoto · 1 shared paper, 2024 · strength 0.19
- Reina Tanaka · 1 shared paper, 2021 · strength 0.13
- Atsushi Sofuni · 1 shared paper, 2021 · strength 0.13
- Yuichi Nagakawa · 1 shared paper, 2021 · strength 0.13
- Ryosuke Tonozuka · 1 shared paper, 2021 · strength 0.13
- Esther Molina‐Montes · 1 shared paper, 2022 · strength 0.11
- Stephan Kersting · 1 shared paper, 2022 · strength 0.11
- Ece Kartal · 1 shared paper, 2022 · strength 0.11
- Núria Malats · 1 shared paper, 2022 · strength 0.11
- Peer Bork B · 1 shared paper, 2022 · strength 0.11
- Yusuke Takasaki · 1 shared paper, 2017 · strength 0.07
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.