ResearcherChiba Cancer CenterNo recent work listed
Wataru Takayama
Matched on OpenAlex author ID A5035502991. Sources: OpenAlex.
Their work
- Papers
- 9 (first author 0, last author 4)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 39
2019: 1 paper · 2020: 4 papers · 2021: none · 2022: 4 papers
Papers 9
- Concordance of human equilibrative nucleoside transporter-1 expressions between murine (10D7G2) and rabbit (SP120) antibodies and association with clinical out… Co-author DOI 10.1002/cnr2.1507↗
- Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase II Open-label Multicenter Prospective Tri… Co-author DOI 10.1097/sla.0000000000004535↗
- 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↗
- Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer. Last author DOI 10.1038/s41416-020-0997-1↗
- MIR1246 in body fluids as a biomarker for pancreatic cancer. Last author DOI 10.1038/s41598-020-65695-6↗
- Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neoadjuvant S-1 and concurrent radiotherapy… Last author DOI 10.1186/s12885-020-07698-0↗
- Prognostic significance of p16 protein in pancreatic ductal adenocarcinoma. Last author DOI 10.3892/mco.2020.2047↗
- Gemcitabine plus nab-paclitaxel for locally advanced or borderline resectable pancreatic cancer. Co-author DOI 10.1038/s41598-019-52486-x↗
Closest collaborators
The 25 strongest of 39 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Yosuke Iwatate · 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↗
- Fumitaka Ishige · 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↗
- Hidehito Arimitsu · 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↗
- 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↗
- Yasukuni Mori · 3 shared papers, 2020–2022 · strength 0.36
- 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 Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer. DOI 10.1038/s41416-020-0997-1↗
- Katsuhiko Uesaka · 3 shared papers, 2020–2022 · strength 0.33
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Concordance of human equilibrative nucleoside transporter-1 expressions between murine (10D7G2) and rabbit (SP120) anti… DOI 10.1002/cnr2.1507↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- Hirochika Toyama · 3 shared papers, 2020–2022 · strength 0.33
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Concordance of human equilibrative nucleoside transporter-1 expressions between murine (10D7G2) and rabbit (SP120) anti… DOI 10.1002/cnr2.1507↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- Soichiro Morinaga · 3 shared papers, 2020–2022 · strength 0.33
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Concordance of human equilibrative nucleoside transporter-1 expressions between murine (10D7G2) and rabbit (SP120) anti… DOI 10.1002/cnr2.1507↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- 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↗
- Takashi Uno · 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↗
- Norihisa Takakura · 2 shared papers, 2020–2022 · strength 0.21
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- Keishi Sugimachi · 2 shared papers, 2020–2022 · strength 0.21
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- Atsushi Miyamoto · 2 shared papers, 2020–2022 · strength 0.21
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- Masafumi Ikeda · 2 shared papers, 2020–2022 · strength 0.21
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- Shinichiro Takahashi · 2 shared papers, 2020–2022 · strength 0.21
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- Motohiro Kojima · 2 shared papers, 2020–2022 · strength 0.21
- Paper Neoadjuvant S-1 With Concurrent Radiotherapy Followed by Surgery for Borderline Resectable Pancreatic Cancer: A Phase I… DOI 10.1097/sla.0000000000004535↗
- Paper Relationship between surgical R0 resectability and findings of peripancreatic vascular invasion on CT imaging after neo… DOI 10.1186/s12885-020-07698-0↗
- Wataru Kimura · 1 shared paper, 2022 · strength 0.12
- Masato Nagino · 1 shared paper, 2022 · strength 0.12
- Tetsuo Akimoto · 1 shared paper, 2022 · strength 0.12
- Takehito Otsubo · 1 shared paper, 2022 · strength 0.12
- Satoshi Hirano · 1 shared paper, 2022 · strength 0.12
- Akira Fukutomi · 1 shared paper, 2022 · strength 0.12
- Shoji Nakamori · 1 shared paper, 2022 · strength 0.12
- Amane Takahashi · 1 shared paper, 2022 · strength 0.12
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.