Paper Review Records
All Paper Review Records
13 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
13
days
Should we longitudinally monitor blood viscosity in patients with sickle cell anemia?
Authors
Philippe Connes; Marie Martin; Judith Catella; Céline Renoux; Bita Asghariastanehei; Benoît Tressières; Camille Boisson; Maeva Rage; Philippe Joly; Solene Poutrel; Anne-Laure Peugnet; Nathalie Garnier; Carine Halfon-Domenech; Emilie Virot; Giovanna Cannas; Arnaud Hot; Emeric Stauffer; Elie NaderShow moreShow less
Affiliations
Laboratory LIBM UR7424, Vascular Biology and Red Blood Cell Team, University of Lyon, Lyon, France; Service de Médecine Interne, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France; Service de Biochimie et Biologie Moléculaire, Laboratoire de Biologie Médicale Multi-Site, Hospices Civils de Lyon, Lyon, France; Centre d'Investigation Clinique (CIC), Inserm, 1424, Guadeloupe, France; Institut d'Hématologie et d'Oncologie Pédiatrique (IHOPe), Hospices Civils de Lyon, Lyon, France; Centre de Médecine du Sommeil et des Maladies Respiratoires, Hospices Civils de Lyon, Hôpital Croix Rousse, Lyon, France; Service d'Explorations Fonctionnelles Respiratoires-Médecine du sport et de l'activité physique, Hospices Civils de Lyon, Lyon, FranceShow 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