ResearcherAffiliated Hospital of Qingdao UniversityNo recent work listed
Jing Guo
Matched on ORCID iD 0000-0003-1048-2886; OpenAlex author ID A5101622067. Sources: OpenAlex.
Their work
- Papers
- 4 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 7
2021: 1 paper · 2022: none · 2023: 3 papers
Papers 4
- Identification of therapeutic targets and prognostic biomarkers among CC chemokines in the pancreatic adenocarcinoma microenvironment Co-author DOI 10.1016/j.gande.2022.11.006↗
- A radiomics nomogram model for predicting prognosis of pancreatic ductal adenocarcinoma after high-intensity focused ultrasound surgery. Co-author DOI 10.1080/02656736.2023.2184397↗
- The dose of focused ultrasound ablation surgery (FUAS) for unresectable pancreatic cancer is predictable: A multicenter retrospective study. First author DOI 10.1097/md.0000000000034684↗
- Systematic review and trial sequential analysis of high-intensity focused ultrasound combined with chemotherapy versus chemotherapy in the treatment of unresec… Co-author DOI 10.1080/02656736.2021.1962550↗
Closest collaborators
The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Wenzhi Chen · 2 shared papers, 2021–2023 · strength 0.37
- Paper The dose of focused ultrasound ablation surgery (FUAS) for unresectable pancreatic cancer is predictable: A multicenter… DOI 10.1097/md.0000000000034684↗
- Paper Systematic review and trial sequential analysis of high-intensity focused ultrasound combined with chemotherapy versus … DOI 10.1080/02656736.2021.1962550↗
- Xiaoyu Li · 1 shared paper, 2023 · strength 0.19
- Xinyuan Liu · 1 shared paper, 2023 · strength 0.19
- Cuiping Zhang · 1 shared paper, 2023 · strength 0.19
- Chao Yang · 1 shared paper, 2023 · strength 0.19
- Changjie Shao · 1 shared paper, 2023 · strength 0.18
- Ning Yu · 1 shared paper, 2023 · strength 0.18
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.