ResearcherSun Yat-sen University Cancer CenterActive in the last 2 years
Rong Zhang
Matched on ORCID iD 0000-0003-1188-0640; OpenAlex author ID A5100451812. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 0, last author 1)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 24
2018: 1 paper · 2019: none · 2020: none · 2021: none · 2022: 1 paper · 2023: 2 papers · 2024: none · 2025: 1 paper
Papers 5
- Neutrophil-to-apolipoprotein A1 ratio predicted the efficiency of chemotherapy in advanced pancreatic cancer. Co-author DOI 10.1016/j.pan.2025.03.004↗
- Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Co-author DOI 10.1038/s41591-023-02640-w↗
- Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study. Co-author DOI 10.1097/sla.0000000000005465↗
- Identifying Outcomes of Patients With Advanced Pancreatic Adenocarcinoma and RECIST Stable Disease Using Radiomics Analysis. Co-author DOI 10.1200/po.21.00362↗
- Intravoxel incoherent motion magnetic resonance imaging for differentiating metastatic and non-metastatic lymph nodes in pancreatic ductal adenocarcinoma. Last author DOI 10.1007/s00330-017-5259-0↗
Closest collaborators
The 24 strongest of 24 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Yize Mao · 3 shared papers, 2018–2025 · strength 0.52
- Paper Neutrophil-to-apolipoprotein A1 ratio predicted the efficiency of chemotherapy in advanced pancreatic cancer. DOI 10.1016/j.pan.2025.03.004↗
- Paper Identifying Outcomes of Patients With Advanced Pancreatic Adenocarcinoma and RECIST Stable Disease Using Radiomics Anal… DOI 10.1200/po.21.00362↗
- Paper Intravoxel incoherent motion magnetic resonance imaging for differentiating metastatic and non-metastatic lymph nodes i… DOI 10.1007/s00330-017-5259-0↗
- Sen Lei · 1 shared paper, 2025 · strength 0.28
- Jiawen Yao · 2 shared papers, 2023 · strength 0.25
- Ling Zhang · 2 shared papers, 2023 · strength 0.25
- Kai Cao · 2 shared papers, 2023 · strength 0.25
- Yu Shi · 2 shared papers, 2023 · strength 0.25
- Gang Jin · 2 shared papers, 2023 · strength 0.25
- Yong Li · 1 shared paper, 2022 · strength 0.15
- Tao Qin · 1 shared paper, 2022 · strength 0.15
- Qiuxia Yang · 1 shared paper, 2022 · strength 0.15
- Lizhi Liu · 1 shared paper, 2022 · strength 0.15
- Jianping Lu · 1 shared paper, 2023 · strength 0.13
- Feng Gao · 1 shared paper, 2023 · strength 0.13
- Alan Yuille · 1 shared paper, 2023 · strength 0.12
- Xu Han · 1 shared paper, 2023 · strength 0.12
- Jianping Lu · 1 shared paper, 2023 · strength 0.12
- Qi Zhang · 1 shared paper, 2023 · strength 0.12
- Michal Vočka · 1 shared paper, 2023 · strength 0.12
- Lukáš Lambert · 1 shared paper, 2023 · strength 0.12
- Xin Chen · 1 shared paper, 2023 · strength 0.12
- Hui Jiang · 1 shared paper, 2023 · strength 0.12
- Tingbo Liang · 1 shared paper, 2023 · strength 0.12
- Dailin Rong · 1 shared paper, 2018 · strength 0.09
- Shengping Li · 1 shared paper, 2018 · 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.