Paper Review Records
All Paper Review Records
18 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
62
days
Can Artificial intelligence meaningfully shorten drug discovery timelines? Current evidence, roadblocks and future directions
Authors
Juan Luis Fernández-MartínezShow moreShow less
Affiliations
1. University of OviedoShow moreShow less
18
days
Advancing polypharmacology-based drug discovery using deep generative models
Authors
Jürgen BajorathShow moreShow less
Affiliations
1. Lamarr Institute for Machine Learning and Artificial Intelligence, Rheinische Friedrich-Wilhelms-UniversitätShow moreShow less
62
days
Radiolysis in drug discovery: molecular modification, repurposing, and mechanistic insights
Authors
Ha-Yeon SongShow moreShow less
Affiliations
1. Korea Atomic Energy Research Institute (KAERI)Show moreShow less
78
days
Why next-generation mechanistic models will transform drug discovery: integrating efficacy and safety
Authors
Gustavo Santos Sandes Felizardo; Vinícius Alexandre Fiaia Costa; Eder Soares de Almeida Santos; Luiz Carlos da Cunha; Bruno Junior NevesShow moreShow less
Affiliations
1. Universidade Federal de GoiásShow moreShow less
84
days
Toward a nuanced framework for the medical development of ibogaine and its analogues and derivatives: implications for psychopharmacology
Authors
Christopher D. Verrico; Lynnette A. Averill; Cameron J. Moore; Amy L. McGuire; Thomas R. Kosten; Ramiro SalasShow moreShow less
Affiliations
1. Baylor College of Medicine; 2. The Menninger Clinic; 3. Michael E. DeBakey VA Medical CenterShow moreShow less
52
days
From mitochondrial signal to discovery decision: a reserve–demand framework for translational risk assessment
Authors
George W. Rogers; Yvonne WillShow moreShow less
Affiliations
1. Baseline Bio Advisory, LLC; 2. Scientia Consultants, LLCShow 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