Paper Review Records
All Paper Review Records
15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
348
days
The vegetative traits and foliar chemistry of lingonberry under creeping pine in an Alpine region
Authors
Kensuke Sugimoto; Keitaro Fukushima; Takahiko Koizumi; Inoue MizukiShow moreShow less
Affiliations
1. Department of Biosciences, College of Humanities and Sciences, Nihon University, Tokyo, Japan; 2. Faculty of Food and Agricultural Sciences, Fukushima University, Fukushima, Japan; 3. School of Agriculture, Meiji University, Kanagawa, JapanShow moreShow less
203
days
Seasonal variation affects the accumulation of alkaloids in Amsonia elliptica
Authors
Kotaro Yamamoto; Takayuki Azuma; Mai UzakiShow moreShow less
Affiliations
1. School of Science, Yokohama City University, Yokohama, Japan; 2. Botanic Garden, Field Science Center for Northern Biosphere, Hokkaido University, Sapporo, Japan; 3. RIKEN Center for Sustainable Resource Science, Yokohama, JapanShow moreShow less
97
days
Transgenomes: automated detection and characterization of mitochondrial-plastid DNA transfers
Authors
Mateusz Maździarz; Katarzyna KrawczykShow moreShow less
Affiliations
1. Department of Botany and Evolutionary Ecology, University of Warmia and Mazury in Olsztyn, Olsztyn, PolandShow 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