Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
137
days
Early Postnatal Changes in Left Heart Dimensions in Infants Undergoing Neonatal Repair of Coarctation of the Aorta
Authors
R. Carnall; S. Chivers; S. Polyviou; H. Bellsham-Revell; Lia Davies; J. M. SimpsonShow moreShow less
Affiliations
1. Department of Congenital Heart Disease, Evelina London Children’s Hospital, London, UK; 2. Adult Congenital and Paediatric Heart Unit, Freeman Hospital, Newcastle Hospital NHS Foundation Trust, Newcastle upon Tyne, UK; 3. Department of Paediatric Cardiology, University Hospital Southampton, Southampton, UKShow moreShow less
143
days
Survival Benefit and Persistent Hospitalization Burden After Ventricular Septal Defect Closure in Infants with Trisomy 18 Headings: Hospitalization After VSD Closure in Trisomy 18
Authors
Hiroyuki Nagao; Takamichi Uchiyama; Shintaro NemotoShow moreShow less
Affiliations
1. Department of Pediatrics, Takatsuki General Hospital, Osaka, Japan; 2. Uchiyma Kids Clinic, Osaka, Japan; 3. Department of Thoracic and Cardiovascular Surgery, Osaka Medical and Pharmaceutical University, Osaka, Japan; 4. Department of Thoracic and Cardiovascular Surgery, Osaka Medical and Pharmaceutical University, Takatsuki, JapanShow 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