ResearcherSun Yat-sen UniversityNo recent work listed
Hao Zhang
Matched on ORCID iD 0000-0002-4582-2556; OpenAlex author ID A5100396913. Sources: OpenAlex.
Their work
- Papers
- 8 (first author 1, last author 1)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 26
2015: 1 paper · 2016: 1 paper · 2017: none · 2018: none · 2019: none · 2020: none · 2021: 3 papers · 2022: 1 paper · 2023: 2 papers
Papers 8
- Immunogenic cell death-associated biomarkers classification predicts prognosis and immunotherapy efficacy in pancreatic ductal adenocarcinoma. Co-author DOI 10.3389/fonc.2023.1178966↗
- The m7G Reader NCBP2 Promotes Pancreatic Cancer Progression by Upregulating MAPK/ERK Signaling. Co-author DOI 10.3390/cancers15225454↗
- Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients with chronic pancreatitis. Co-author DOI 10.1007/s00330-022-08698-3↗
- Long noncoding RNA LINC00261 upregulates ITIH5 to impair tumorigenic ability of pancreatic cancer stem cells. Last author DOI 10.1038/s41420-021-00575-0↗
- XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3389/fonc.2021.671333↗
- CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma. First author DOI 10.3389/fonc.2021.707288↗
- Emodin enhances the demethylation by 5-Aza-CdR of pancreatic cancer cell tumor-suppressor genes P16, RASSF1A and ppENK. Co-author DOI 10.3892/or.2016.4554↗
- Effects of emodin on the demethylation of tumor-suppressor genes in pancreatic cancer PANC-1 cells. Co-author DOI 10.3892/or.2015.3914↗
Closest collaborators
The 25 strongest of 26 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Yinghao Meng · 3 shared papers, 2021–2022 · strength 0.35
- Paper Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients w… DOI 10.1007/s00330-022-08698-3↗
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Paper CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Yun Bian · 3 shared papers, 2021–2022 · strength 0.35
- Paper Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients w… DOI 10.1007/s00330-022-08698-3↗
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Paper CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Jieyu Yu · 3 shared papers, 2021–2022 · strength 0.35
- Paper Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients w… DOI 10.1007/s00330-022-08698-3↗
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Paper CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Chengwei Shao · 3 shared papers, 2021–2022 · strength 0.35
- Paper Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients w… DOI 10.1007/s00330-022-08698-3↗
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Paper CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Jiancong Xie · 2 shared papers, 2023 · strength 0.34
- Qi Li · 2 shared papers, 2021–2022 · strength 0.24
- Paper Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients w… DOI 10.1007/s00330-022-08698-3↗
- Paper CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Jing Li · 2 shared papers, 2021 · strength 0.22
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Paper CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Jianping Lu · 2 shared papers, 2021 · strength 0.22
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Paper CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Li Wang · 2 shared papers, 2021 · strength 0.22
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Paper CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Wenguang Peng · 1 shared paper, 2023 · strength 0.18
- Weidong Pan · 1 shared paper, 2023 · strength 0.18
- Tuo Hu · 1 shared paper, 2023 · strength 0.17
- Weidong Pan · 1 shared paper, 2023 · strength 0.17
- Tao Ma · 1 shared paper, 2023 · strength 0.17
- Jing Chen · 1 shared paper, 2023 · strength 0.17
- Lijuan Zou · 1 shared paper, 2021 · strength 0.16
- Jing Li · 1 shared paper, 2022 · strength 0.13
- Jianping Lu · 1 shared paper, 2022 · strength 0.13
- Chao Ma · 1 shared paper, 2021 · strength 0.11
- Kai Cao · 1 shared paper, 2021 · strength 0.11
- Hui Jiang · 1 shared paper, 2021 · strength 0.11
- Feng-Ping Pan · 2 shared papers, 2015–2016 · strength 0.10
- Heqi Bu · 2 shared papers, 2015–2016 · strength 0.10
- Shengzhang Lin · 2 shared papers, 2015–2016 · strength 0.10
- Liang Chen · 2 shared papers, 2015–2016 · strength 0.10
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.