CrushSCI.com
197.8Average days
199Median days
30Fastest days
482Longest days
2192025 publications

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.

294 days

Changes of body composition through an athlete-specific dietary guidance professional track and field athletes: a randomized controlled study

Authors
Ranil Jayawardena; Kalani Weerasinghe; Indu Nanayakkara; Terrence Madhujith; Andrew P. Hills; Nishan Sudheera KalupahanaShow moreShow less
Affiliations
1. Department of Physiology, Faculty of Medicine, University of Colombo; 2. Department of Physiology, Faculty of Medicine, University of Peradeniya; 3. School of Health Sciences, UTAS Health, University of Tasmania; 4. Health and Wellness Unit, Faculty of Medicine, University of Colombo; 5. Department of Food Science and Technology, Faculty of Agriculture, University of Peradeniya; 6. Department of Nutrition and Health, United Arab Emirates UniversityShow moreShow less
Source PDF DOI Publisher page
92 days

Real-world creatine supplementation: a large-scale cross-sectional study of use, knowledge, and experiences

Authors
Jocelyn Burridge; Ali Boolani; Ziyang Zhang; Jordan M. GlennShow moreShow less
Affiliations
1. SuppCo Inc.; 2. Department of Pediatrics, San Diego School of Medicine, University of California; 3. Human Performance and Nutrition Research Institute, Oklahoma State University; 4. Department of Human Physiology, Boston UniversityShow moreShow less
Source PDF DOI Publisher page

Expert Matching · Case Demo

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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

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

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