Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
42
days
Comparison of intra-articular injectable polydactyly-derived chondrocyte sheet-minis with direct transplantation of intact polydactyly-derived chondrocyte sheets in a rat full-thickness cartilage defect model
Authors
Makoto Ogawa; Eriko Toyoda; Shiho Wasai; Tatsumi Tanaka; Ryoka Uchiyama; Miki Maehara; Tadashi Akamatsu; Masahiko Watanabe; Masato SatoShow moreShow less
Affiliations
Department of Orthopedic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan; Center for Musculoskeletal Innovative Research and Advancement(C-MiRA), Tokai University Graduate School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan; The Institute of Medical Sciences, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan; Department of Plastic Surgery, Surgical Science, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, JapanShow moreShow less
104
days
In vitro generation of human embryonic stem cell-derived heart organoids possessing physiological ion currents
Authors
Jiyoung Lee; Hiroshi Matsukawa; Kohei Sawada; Rin Kaneko; Fumitoshi IshinoShow moreShow less
Affiliations
Institute of Research, Tokyo Medical and Dental University (TMDU), Tokyo, 113-8510, Japan; Center for Regenerative Medicine, National Center for Child Health and Development, Tokyo, 157-8535, Japan; Higashimatsuyama Laboratories for In Vitro Science, Drug Safety Testing Center Co., Ltd, Saitama, 355-0071, Japan; The University of Tokyo, Tokyo, 113-0033, Japan; Pharmacological Evaluation Institute of Japan (PEIJ), Tsukuba Industry Promotion Center, Tsukuba, Ibaraki, 305-0031, Japan; Department of Developmental and Regenerative Biology, Medical Research Institute, TMDU, Tokyo, 113-8510, Japan; Research Infrastructure Management Organization, Tokyo Institute of Science, Tokyo, 113-8510, JapanShow moreShow less
56
days
Environmental monitoring practices relevant to regenerative medicine manufacturing: Insights from a cross-sector survey of regulated facilities in Japan
Authors
Mitsuru Mizuno; Tomoko Oono; Kana Takahashi; Kazuko Tsujimoto; Natsuki Tanigawa; Yoshinobu Nakamura; Hiroaki Nakamura; Kenji Fujii; Ichiro SekiyaShow moreShow less
Affiliations
Center for Stem Cell and Regenerative Medicine, Institute of Science Tokyo, 1-5-45, Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan; Center for Transfusion Medicine and Cell Therapy, Institute of Science Tokyo Hospital, 1-5-45, Bunkyo-ku, Yushima, Tokyo, 113-8519, Japan; Life Science Division, Earth Environmental Service Co., Ltd., CROSS DOCK HARUMI 3A, 4-7-4 Harumi, Chuo-ku, Tokyo, 104-0053, JapanShow moreShow less
69
days
Menstrual blood–derived stromal cells exhibit superior protection against lung injury in myocardial Infarction–Induced heart failure in rats compared to bone marrow–derived stromal cells
Authors
Mahmood Manshori; Zahra Saffarian; Nahid Aboutaleb; Hannaneh GolshahiShow moreShow less
Affiliations
Nanobiotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran; Physiology Research Center, Iran University of Medical Sciences, Tehran, Iran; Department of Physiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, IranShow 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