CrushSCI.com
166.1Average days
158Median days
7Fastest days
397Longest days
902025 publications

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.

356 days

Measurement and Prediction of Unmixing‐Dependent Spreading due to Collinearity in Spectral Flow Cytometry

Authors
Peter L. Mage; Andrew J. Konecny; Florian MairShow moreShow less
Affiliations
1. Advanced Technology Group Waters Biosciences (formerly BD Biosciences) Milpitas California USA; 2. Vaccine and Infectious Disease Division Fred Hutchinson Cancer Center Seattle Washington USA; 3. Department of Immunology University of Washington Seattle Washington USA; 4. Flow Cytometry Core Facility ETH Zurich Zurich SwitzerlandShow moreShow less
Source PDF DOI Publisher page
62 days

Identification of T:B Cell Multimers After Bispecific T Cell Engagement, Using Both Conventional and Imaging Flow Cytometry

Authors
Joanne E. Davis; Mandy Ludford‐Menting; Helena Peng; Darryl N. Johnson; David S. Ritchie; Rachel KoldejShow moreShow less
Affiliations
1. ACRF Translational Research Laboratory, The Royal Melbourne Hospital Melbourne Victoria Australia; 2. Faculty of Medicine, Dentistry and Health Sciences The University of Melbourne Melbourne Victoria Australia; 3. Materials Characterisation & Fabrication Platform The University of Melbourne Melbourne Victoria Australia; 4. Clinical Haematology, Peter MacCallum Cancer Centre and Royal Melbourne Hospital Melbourne Victoria AustraliaShow moreShow less
Source PDF DOI Publisher page
222 days

Simultaneous Assessment of Calcium Signaling and Mitochondria Activity in Human Platelets Using Continuous Flow Cytometry

Authors
Artem A. Mishukov; Anastasia A. Ignatova; Anna L. Ogneva; Nikita S. Nikitin; Mikhail A. Panteleev; Quhuan Li; Anna Shcherbina; Anastasia N. SveshnikovaShow moreShow less
Affiliations
1. Center for Theoretical Problems of Physicochemical Pharmacology Moscow Russia; 2. Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology, and Immunology Moscow Russia; 3. Lomonosov Moscow State University Moscow Russia; 4. School of Biology and Biological Engineering South China University of Technology Guangzhou Guangdong ChinaShow moreShow less
Source PDF DOI Publisher page

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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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