Paper Review Records
All Paper Review Records
2 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
93
days
From association to causation: interpreting PS-based analyses in real-world evidence
Authors
Eunjin Ahn; Sang Gyu KwakShow moreShow less
Affiliations
1. Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Korea; 2. Department of Medical Statistics, Daegu Catholic University School of Medicine, Daegu, KoreaShow moreShow less
172
days
Easy DAO2 index: a novel hemodynamic risk factor for predicting mortality in surgical and critically ill patients
Authors
Da-In Eun; Hyeonhoon Lee; Hyung-Chul LeeShow moreShow less
Affiliations
1. Interdisciplinary Program in Medical Informatics, Seoul National University, Seoul, Korea; 2. Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Korea; 3. Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea; 4. Department of Anesthesiology and Pain Medicine, Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea; 5. Department of Transdisciplinary Medicine, Seoul National University Hospital, Seoul, Korea; 6. Department of Medicine, Seoul National University College of Medicine, Seoul, KoreaShow 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