CrushSCI.com
117.2Average days
112Median days
49Fastest days
190Longest days
1,1802025 publications

Paper Review Records

All Paper Review Records

14 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

186 days

Two new acylated iridoid glycosides with insulin resistance-improving activity from Scrophularia ningpoensis

Authors
Wen-Ying Zhou; Yu-Xin Peng; Bi-Qing Zhao; Hong-Yu Jiang; Xi-Ning Sun; Guang-Yun Su; Li Li; Xiao-Jiang ZhouShow moreShow less
Affiliations
College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410208, People's Republic of China; The First Hospital, Hunan University of Chinese Medicine, Changsha 410007, People's Republic of ChinaShow moreShow less
Source PDF DOI Publisher page
169 days

Targeted discovery of linear lipopeptides from the marine-derived fungus Myrothecium inundatum by a building blocks-based molecular networking strategy

Authors
Bin Hu; Jinghao Hu; Eunyoung Seo; Yingjie Sun; Bin Wang; Ke Ma; Wenhan LinShow moreShow less
Affiliations
School of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, China; Ningbo Institute of Marine Medicine, Peking University, Ningbo, China; State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, ChinaShow moreShow less
Source PDF DOI Publisher page

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.

We will reply within 30 minutes.

CrushSCI online

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

Contact CrushSCI

Contact CrushSCI

Leave your email address to discuss academic polishing, structural refinement, or one-to-one guidance.

We will reply within 30 minutes.

Selected service: Academic Consulting Service

Leave your email address

Or email us directly at [email protected]

Enter your email address so we can reply. Your details will remain private.