ResearcherChiba Cancer CenterActive in the last 2 years
Yosuke Iwatate
Matched on OpenAlex author ID A5013677666. Sources: OpenAlex.
Their work
- Papers
- 7
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 12
2020: 3 papers · 2021: 1 paper · 2022: 2 papers · 2023: none · 2024: none · 2025: 1 paper
Papers 7
- [Successful Resection of a Metachronous Liver Metastasis after Pancreatic Ductal Adenocarcinoma Surgery-A Case with Two-Year Recurrence-Free Survival]. Co-author PMID 41546317↗
- Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. Co-author DOI 10.1371/journal.pone.0268630↗
- 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↗
- Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer. Co-author DOI 10.1038/s41598-021-95969-6↗
- 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↗
- MIR1246 in body fluids as a biomarker for pancreatic cancer. Co-author DOI 10.1038/s41598-020-65695-6↗
- Prognostic significance of p16 protein in pancreatic ductal adenocarcinoma. Co-author DOI 10.3892/mco.2020.2047↗
Closest collaborators
The 12 strongest of 12 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Fumitaka Ishige · 6 shared papers, 2020–2025 · strength 0.85
- Paper [Successful Resection of a Metachronous Liver Metastasis after Pancreatic Ductal Adenocarcinoma Surgery-A Case with Two… PMID 41546317↗
- Paper Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. DOI 10.1371/journal.pone.0268630↗
- Paper Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived fr… DOI 10.3892/ijo.2022.5350↗
- Hidehito Arimitsu · 6 shared papers, 2020–2025 · strength 0.85
- Paper [Successful Resection of a Metachronous Liver Metastasis after Pancreatic Ductal Adenocarcinoma Surgery-A Case with Two… PMID 41546317↗
- Paper Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. DOI 10.1371/journal.pone.0268630↗
- Paper Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived fr… DOI 10.3892/ijo.2022.5350↗
- Hiroki Nagase · 5 shared papers, 2020–2022 · strength 0.58
- Paper Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. DOI 10.1371/journal.pone.0268630↗
- Paper Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived fr… DOI 10.3892/ijo.2022.5350↗
- Paper MIR1246 in body fluids as a biomarker for pancreatic cancer. DOI 10.1038/s41598-020-65695-6↗
- Wataru Takayama · 5 shared papers, 2020–2022 · strength 0.58
- Paper Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. DOI 10.1371/journal.pone.0268630↗
- Paper Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived fr… DOI 10.3892/ijo.2022.5350↗
- Paper MIR1246 in body fluids as a biomarker for pancreatic cancer. DOI 10.1038/s41598-020-65695-6↗
- Yasukuni Mori · 4 shared papers, 2020–2022 · strength 0.50
- Paper Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer. DOI 10.1038/s41598-021-95969-6↗
- Paper Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. DOI 10.1371/journal.pone.0268630↗
- Paper Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived fr… DOI 10.3892/ijo.2022.5350↗
- Takashi Uno · 3 shared papers, 2021–2022 · strength 0.40
- Paper Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer. DOI 10.1038/s41598-021-95969-6↗
- Paper Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. DOI 10.1371/journal.pone.0268630↗
- Paper Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived fr… DOI 10.3892/ijo.2022.5350↗
- Norikazu Yogi · 1 shared paper, 2025 · strength 0.27
- Shingo Kagawa · 1 shared paper, 2025 · strength 0.27
- Atsushi Kato · 1 shared paper, 2025 · strength 0.27
- Naoki Kuwayama · 2 shared papers, 2022 · strength 0.25
- Paper Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. DOI 10.1371/journal.pone.0268630↗
- Paper Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived fr… DOI 10.3892/ijo.2022.5350↗
- Osamu Shimozato · 2 shared papers, 2022 · strength 0.25
- Paper Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. DOI 10.1371/journal.pone.0268630↗
- Paper Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived fr… DOI 10.3892/ijo.2022.5350↗
- 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.