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Author

Ye Sun

ORCID: 0000-0002-1893-4464
Observed ORCID: 0000-0002-1893-4464
OpenAlex ID: A5072920684
Adjuvant Application of Shenmai Injection for Sepsis: A Systematic Review and Meta-Analysis
2022 · Ye Sun, Yilin Liu, et al. · Evidence-based Complementary and Alternative Medicine · 10
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Assessment of S100A8/A9 and resistin as predictive biomarkers for mortality in critically ill patients with sepsis
2025 · Jing Chen, Zhengquan Liu, et al. · Frontiers in Cellular and Infection Microbiology · 8
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Early creatinine change and subsequent in-hospital mortality in cardiac-arrest-associated critical illness: a 48-hour landmark cohort accounting for blood pressure and vasopressor support.
2026 · Ye Sun · Open Science Framework
Early echocardiographic ejection-fraction recording categories and 72-hour confirmation of vasopressor cessation records in sepsis: a retrospective MIMIC-IV cohort study
2026 · Ye Sun · Open Science Framework
Preregistered cross-cohort evaluation of a metabolite-informed host-response score in adult sepsis
2026 · Ye Sun · Open Science Framework
MACPS Core-16 Amendment 01
2026 · Ye Sun · OSF Preprints (OSF Preprints)
A Preregistered Cross-Cohort Evaluation of gutMGene-Curated Circulating Metabolites Across Sepsis Onset, Shock, and Liver-Injury Trajectories
2026 · Ye Sun · Open Science Framework
Outcome-blind feasibility charter for COMPLEMENT-SHOCK v15.2: prompt hydrocortisone after a verified new vasopressin start in adults with infection-related vasopressor-dependent shock
2026 · Ye Sun · Open Science Framework
Development and rigorous internal validation of a mechanism-informed parsimonious prognostic model for in-hospital mortality in critically ill adults with sepsis: a retrospective MIMIC-IV study
2026 · Ye Sun · Open Science Framework
A preregistered cross-platform evaluation of gutMGene-curated metabolite–host gene programs in sepsis
2026 · Ye Sun
Proteomics Reveals Novel Biomarkers in the Blood for Sepsis Diagnosis
2026 · Zhenjun Fan, Meiling Chen, et al. · Journal of Proteome Research
S100A16 as a potential therapeutic target in sepsis-induced acute lung injury
2026 · Zhengquan Liu, Jing Chen, et al. · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease
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Predicting Mortality in Intensive Care Unit Patients With Allergic Bronchopulmonary Aspergillosis (ABPA) Using an Interpretable Machine Learning Model: A Retrospective Cohort Study
2026 · Jing Zhang, Juntao Tang, et al. · Canadian Respiratory Journal
Works count: 13
Citation count: 18
H-index: 2
I10-index: 1
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