Paper Review Records
All Paper Review Records
19 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
262
days
Association of GLP-1RA discontinuation and risk of depressive and anxiety disorders in people with type 2 diabetes: a cohort study
Authors
Tingyu Zhang; Ping He; Yunxi Ji; Juan Shi; Zizheng Zhang; Kan Wang; Haolei Pan; Huayan Yao; Yanbin Xue; Ruizhi Zheng; Qingxia Wu; Bin Cui; Yifei Zhang; Weiqing Wang; Guang NingShow moreShow less
Affiliations
1. Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 2. Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People’s Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 3. Link Healthcare Engineering and Information Department, Shanghai Hospital Development Center, Shanghai, China; 4. Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; 5. Wonders Information Co., Ltd., Shanghai, ChinaShow moreShow less
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review62 days
Median65 days