ResearcherKagoshima UniversityActive in the last 2 years
Michiyo Higashi
Matched on ORCID iD 0000-0003-2723-1063; OpenAlex author ID A5112002830. Sources: OpenAlex.
Their work
- Papers
- 13
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 47
2012: 1 paper · 2013: 1 paper · 2014: 1 paper · 2015: 1 paper · 2016: none · 2017: none · 2018: none · 2019: 1 paper · 2020: 2 papers · 2021: 1 paper · 2022: 1 paper · 2023: 3 papers · 2024: 1 paper
Papers 13
- Genetic Assessment of Intraductal Papillary Mucinous Neoplasm for Predicting Concomitant Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1097/mpa.0000000000002373↗
- The combination of the low immunohistochemical expression of peroxiredoxin 4 and perilipin 2 predicts longer survival in pancreatic ductal adenocarcinoma with … Co-author DOI 10.14670/hh-18-666↗
- Focal Type 2 Autoimmune Pancreatitis Mimicking Pancreatic Cancer: Treatment with Neoadjuvant Chemotherapy and Surgery. Co-author DOI 10.2169/internalmedicine.0224-22↗
- Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultrasound-Guided Fine-Needle Biopsy: A Prosp… Co-author DOI 10.3390/diagnostics13061078↗
- Sequential evaluation of MUC promoter methylation using next-generation sequencing-based custom-made panels in liquid-based cytology specimens of pancreatic ca… Co-author DOI 10.1002/dc.25022↗
- A deep learning model to detect pancreatic ductal adenocarcinoma on endoscopic ultrasound-guided fine-needle biopsy. Co-author DOI 10.1038/s41598-021-87748-0↗
- Lung recurrence and its therapeutic strategy in patients with pancreatic cancer. Co-author DOI 10.1016/j.pan.2019.11.015↗
- Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning. Co-author DOI 10.1158/1078-0432.ccr-19-1247↗
- Extracellular volume fraction determined by equilibrium contrast-enhanced multidetector computed tomography as a prognostic factor in unresectable pancreatic a… Co-author DOI 10.1007/s00330-018-5570-4↗
- Mucin expression in endoscopic ultrasound-guided fine-needle aspiration specimens is a useful prognostic factor in pancreatic ductal adenocarcinoma. Co-author DOI 10.1097/mpa.0000000000000362↗
- Contrast-enhanced CT and diffusion-weighted MR imaging: performance as a prognostic factor in patients with pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.ejrad.2013.12.016↗
- [Examination of resectable and borderline pancreatic cancer treated with neoadjuvant chemoradiation therapy]. Co-author PMID 24393873↗
- Expression of MUC17 is regulated by HIF1α-mediated hypoxic responses and requires a methylation-free hypoxia responsible element in pancreatic cancer. Co-author DOI 10.1371/journal.pone.0044108↗
Closest collaborators
The 25 strongest of 47 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Akihide Tanimoto · 4 shared papers, 2020–2024 · strength 0.59
- Paper Genetic Assessment of Intraductal Papillary Mucinous Neoplasm for Predicting Concomitant Pancreatic Ductal Adenocarcino… DOI 10.1097/mpa.0000000000002373↗
- Paper Sequential evaluation of MUC promoter methylation using next-generation sequencing-based custom-made panels in liquid-b… DOI 10.1002/dc.25022↗
- Paper Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultra… DOI 10.3390/diagnostics13061078↗
- Shinichi Hashimoto · 4 shared papers, 2015–2023 · strength 0.52
- Paper Focal Type 2 Autoimmune Pancreatitis Mimicking Pancreatic Cancer: Treatment with Neoadjuvant Chemotherapy and Surgery. DOI 10.2169/internalmedicine.0224-22↗
- Paper Sequential evaluation of MUC promoter methylation using next-generation sequencing-based custom-made panels in liquid-b… DOI 10.1002/dc.25022↗
- Paper Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultra… DOI 10.3390/diagnostics13061078↗
- Takao Ohtsuka · 3 shared papers, 2022–2024 · strength 0.49
- Paper Genetic Assessment of Intraductal Papillary Mucinous Neoplasm for Predicting Concomitant Pancreatic Ductal Adenocarcino… DOI 10.1097/mpa.0000000000002373↗
- Paper Sequential evaluation of MUC promoter methylation using next-generation sequencing-based custom-made panels in liquid-b… DOI 10.1002/dc.25022↗
- Paper Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultra… DOI 10.3390/diagnostics13061078↗
- Akio Ido · 3 shared papers, 2022–2023 · strength 0.48
- Paper Focal Type 2 Autoimmune Pancreatitis Mimicking Pancreatic Cancer: Treatment with Neoadjuvant Chemotherapy and Surgery. DOI 10.2169/internalmedicine.0224-22↗
- Paper Sequential evaluation of MUC promoter methylation using next-generation sequencing-based custom-made panels in liquid-b… DOI 10.1002/dc.25022↗
- Paper Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultra… DOI 10.3390/diagnostics13061078↗
- Hiroshi Kurahara · 4 shared papers, 2013–2024 · strength 0.41
- Paper Genetic Assessment of Intraductal Papillary Mucinous Neoplasm for Predicting Concomitant Pancreatic Ductal Adenocarcino… DOI 10.1097/mpa.0000000000002373↗
- Paper Lung recurrence and its therapeutic strategy in patients with pancreatic cancer. DOI 10.1016/j.pan.2019.11.015↗
- Paper Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning. DOI 10.1158/1078-0432.ccr-19-1247↗
- Yuko Mataki · 4 shared papers, 2013–2024 · strength 0.36
- Paper Genetic Assessment of Intraductal Papillary Mucinous Neoplasm for Predicting Concomitant Pancreatic Ductal Adenocarcino… DOI 10.1097/mpa.0000000000002373↗
- Paper Lung recurrence and its therapeutic strategy in patients with pancreatic cancer. DOI 10.1016/j.pan.2019.11.015↗
- Paper Mucin expression in endoscopic ultrasound-guided fine-needle aspiration specimens is a useful prognostic factor in panc… DOI 10.1097/mpa.0000000000000362↗
- Kosei Maemura · 5 shared papers, 2013–2020 · strength 0.36
- Paper Lung recurrence and its therapeutic strategy in patients with pancreatic cancer. DOI 10.1016/j.pan.2019.11.015↗
- Paper Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning. DOI 10.1158/1078-0432.ccr-19-1247↗
- Paper Extracellular volume fraction determined by equilibrium contrast-enhanced multidetector computed tomography as a progno… DOI 10.1007/s00330-018-5570-4↗
- Shiho Arima · 2 shared papers, 2023 · strength 0.33
- Paper Focal Type 2 Autoimmune Pancreatitis Mimicking Pancreatic Cancer: Treatment with Neoadjuvant Chemotherapy and Surgery. DOI 10.2169/internalmedicine.0224-22↗
- Paper Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultra… DOI 10.3390/diagnostics13061078↗
- Makoto Hinokuchi · 2 shared papers, 2023 · strength 0.33
- Paper Focal Type 2 Autoimmune Pancreatitis Mimicking Pancreatic Cancer: Treatment with Neoadjuvant Chemotherapy and Surgery. DOI 10.2169/internalmedicine.0224-22↗
- Paper Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultra… DOI 10.3390/diagnostics13061078↗
- Seiya Yokoyama · 4 shared papers, 2012–2022 · strength 0.32
- Paper Sequential evaluation of MUC promoter methylation using next-generation sequencing-based custom-made panels in liquid-b… DOI 10.1002/dc.25022↗
- Paper Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning. DOI 10.1158/1078-0432.ccr-19-1247↗
- Paper Mucin expression in endoscopic ultrasound-guided fine-needle aspiration specimens is a useful prognostic factor in panc… DOI 10.1097/mpa.0000000000000362↗
- Hiromichi Iwaya · 2 shared papers, 2022–2023 · strength 0.30
- Paper Sequential evaluation of MUC promoter methylation using next-generation sequencing-based custom-made panels in liquid-b… DOI 10.1002/dc.25022↗
- Paper Next-Generation Sequencing Analysis of Pancreatic Cancer Using Residual Liquid Cytology Specimens from Endoscopic Ultra… DOI 10.3390/diagnostics13061078↗
- Tetsuya Idichi · 2 shared papers, 2020–2024 · strength 0.29
- Yuto Hozaka · 1 shared paper, 2024 · strength 0.19
- Kosuke Fukuda · 1 shared paper, 2024 · strength 0.19
- Hideyuki Oi · 1 shared paper, 2024 · strength 0.19
- Yoshihiko Fukukura · 3 shared papers, 2014–2019 · strength 0.18
- Paper Extracellular volume fraction determined by equilibrium contrast-enhanced multidetector computed tomography as a progno… DOI 10.1007/s00330-018-5570-4↗
- Paper Contrast-enhanced CT and diffusion-weighted MR imaging: performance as a prognostic factor in patients with pancreatic … DOI 10.1016/j.ejrad.2013.12.016↗
- Paper Mucin expression in endoscopic ultrasound-guided fine-needle aspiration specimens is a useful prognostic factor in panc… DOI 10.1097/mpa.0000000000000362↗
- Nobuhisa Maeda · 1 shared paper, 2023 · strength 0.18
- Suguru Yonezawa · 3 shared papers, 2012–2020 · strength 0.17
- Paper Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning. DOI 10.1158/1078-0432.ccr-19-1247↗
- Paper Mucin expression in endoscopic ultrasound-guided fine-needle aspiration specimens is a useful prognostic factor in panc… DOI 10.1097/mpa.0000000000000362↗
- Paper Expression of MUC17 is regulated by HIF1α-mediated hypoxic responses and requires a methylation-free hypoxia responsibl… DOI 10.1371/journal.pone.0044108↗
- Surinder K. Batra · 3 shared papers, 2012–2020 · strength 0.17
- Paper Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning. DOI 10.1158/1078-0432.ccr-19-1247↗
- Paper Mucin expression in endoscopic ultrasound-guided fine-needle aspiration specimens is a useful prognostic factor in panc… DOI 10.1097/mpa.0000000000000362↗
- Paper Expression of MUC17 is regulated by HIF1α-mediated hypoxic responses and requires a methylation-free hypoxia responsibl… DOI 10.1371/journal.pone.0044108↗
- Hiroyuki Takamura · 1 shared paper, 2023 · strength 0.16
- Jia Han · 1 shared paper, 2023 · strength 0.16
- Sohsuke Yamada · 1 shared paper, 2023 · strength 0.16
- Hiroyuki Shinchi · 2 shared papers, 2013–2020 · strength 0.13
- Shoji Natsugoe · 2 shared papers, 2013–2020 · strength 0.13
- Michael Anthony Hollingsworth · 1 shared paper, 2020 · strength 0.09
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.