ResearcherChina Pharmaceutical UniversityActive in the last 2 years
Yuling Sun
Matched on ORCID iD 0000-0001-5289-4673; OpenAlex author ID A5044254514. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 0, last author 4)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 18
2013: 1 paper · 2014: none · 2015: 1 paper · 2016: none · 2017: 1 paper · 2018: 1 paper · 2019: none · 2020: none · 2021: none · 2022: 2 papers · 2023: none · 2024: none · 2025: 1 paper
Papers 7
- Engineering a spatiotemporal macrophage circuit via STING phase separation to override immune suppression in pancreatic cancer. Co-author DOI 10.1073/pnas.2504718122↗
- Multi-omics landscape and clinical significance of a SMAD4-driven immune signature: Implications for risk stratification and frontline therapies in pancreatic … Last author DOI 10.1016/j.csbj.2022.02.031↗
- Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pancreatic cancer. Last author DOI 10.7554/elife.80150↗
- Contribution of biomarkers for pancreatic cancer-associated new-onset diabetes to pancreatic cancer screening. Last author DOI 10.1016/j.prp.2018.10.003↗
- Epithelial-Mesenchymal Transition in Pancreatic Cancer: A Review. Last author DOI 10.1155/2017/2646148↗
- Aspirin might reduce the incidence of pancreatic cancer: A meta-analysis of observational studies. Co-author DOI 10.1038/srep15460↗
- Upregulation of transgelin is an independent factor predictive of poor prognosis in patients with advanced pancreatic cancer. Co-author DOI 10.1111/cas.12107↗
Closest collaborators
The 18 strongest of 18 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Rongtao Zhu · 3 shared papers, 2015–2022 · strength 0.37
- Paper Multi-omics landscape and clinical significance of a SMAD4-driven immune signature: Implications for risk stratificatio… DOI 10.1016/j.csbj.2022.02.031↗
- Paper Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pan… DOI 10.7554/elife.80150↗
- Paper Aspirin might reduce the incidence of pancreatic cancer: A meta-analysis of observational studies. DOI 10.1038/srep15460↗
- Libo Wang · 2 shared papers, 2022 · strength 0.30
- Paper Multi-omics landscape and clinical significance of a SMAD4-driven immune signature: Implications for risk stratificatio… DOI 10.1016/j.csbj.2022.02.031↗
- Paper Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pan… DOI 10.7554/elife.80150↗
- Weijie Wang · 2 shared papers, 2022 · strength 0.30
- Paper Multi-omics landscape and clinical significance of a SMAD4-driven immune signature: Implications for risk stratificatio… DOI 10.1016/j.csbj.2022.02.031↗
- Paper Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pan… DOI 10.7554/elife.80150↗
- Xinwei Han · 2 shared papers, 2022 · strength 0.30
- Paper Multi-omics landscape and clinical significance of a SMAD4-driven immune signature: Implications for risk stratificatio… DOI 10.1016/j.csbj.2022.02.031↗
- Paper Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pan… DOI 10.7554/elife.80150↗
- Jianqiong Zhang · 1 shared paper, 2025 · strength 0.21
- Xue Yang · 1 shared paper, 2025 · strength 0.21
- Xiaoyuan Shawn Chen · 1 shared paper, 2025 · strength 0.21
- Ben Zhao · 1 shared paper, 2025 · strength 0.21
- Shenghong Ju · 1 shared paper, 2025 · strength 0.21
- Yuyuan Zhang · 1 shared paper, 2022 · strength 0.15
- Zhenjun Zhang · 1 shared paper, 2018 · strength 0.14
- Shuai Huang · 1 shared paper, 2017 · strength 0.12
- Shuai Wang · 1 shared paper, 2017 · strength 0.12
- Yanpeng Zhang · 1 shared paper, 2015 · strength 0.06
- Lin Zhou · 1 shared paper, 2013 · strength 0.04
- Yaozong Yuan · 1 shared paper, 2013 · strength 0.04
- Jiansheng Li · 1 shared paper, 2013 · strength 0.04
- Weiyan Yao · 1 shared paper, 2013 · strength 0.04
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.