Paper Review Records
All Paper Review Records
25 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
496
days
Nano-enabled spatially selective protein degradation modulates lactate metabolism to potentiate antitumor immunity in liver cancer
Authors
Jinhong Du; Shu Han; Rui Song; Jianze Wang; Linyu Zhang; Yueyang Xu; Haoyi Zhou; Feng Wang; Sen Qin; Da Xu; Yameng Hao; Kui Li; Xin Zhou; Jiadong Wang; Luyang Sun; Zhi Yang; Zhaofei LiuShow moreShow less
Affiliations
1. Department of Radiation Medicine, School of Basic Medical Sciences, Peking University and Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China; 2. Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Peking University Cancer Hospital and Institute, Beijing, China; 3. Department of Biochemistry, School of Basic Medical Sciences, Peking University, Beijing, China; 4. Department of Hepatopancreatobiliary Surgery, Peking University Cancer Hospital and Institute, Beijing, China; 5. State Key Laboratory of Vascular Homeostasis and Remodeling, Department of Nuclear Medicine, Peking University Third Hospital, Beijing, ChinaShow 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