Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
117
days
Emerging evidence of neutrophil extracellular traps in essential hypertension and target organ damage: pathophysiological insights and therapeutic implications
Authors
Anastasia Malliora; Efstratios Gavriilidis; Antonios Lazaridis; Christina Antoniadou; Agapi Chionidou; Vasilios Kotsis; Panagiotis Skendros; Eugenia GkaliagkousiShow moreShow less
Affiliations
1. 3rd Department of Internal Medicine, Papageorgiou General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece; 2. First Department of Internal Medicine, University Hospital of Alexandroupolis, Democritus University of Thrace, Alexandroupolis, GreeceShow moreShow less
161
days
Prediction model for aortic dissection, aortic aneurysm, and peripheral artery disease
Authors
Yuta Suzuki; Hidehiro Kaneko; Akira Okada; Toshiyuki Ko; Takahiro Jimba; Atsushi Mizuno; Katsuhito Fujiu; Hiroyuki Morita; Norifumi Takeda; Koichi Node; Hideo Yasunaga; Norihiko TakedaShow moreShow less
Affiliations
1. Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan; 2. Center for Outcomes Research and Economic Evaluation for Health, National Institute of Public Health, Saitama, Japan; 3. Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan; 4. Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; 5. Department of Cardiovascular Medicine, St. Luke’s International Hospital, Tokyo, Japan; 6. International University of Health and Welfare, Tokyo, Japan; 7. Department of Cardiovascular Medicine, Saga University, Saga, Japan; 8. Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, JapanShow moreShow less
141
days
Breakthrough drugs in the treatment of hypertension-related disease
Authors
Satoshi Hoshide; Masaki Mogi; Shigeru Shibata; Takuya Kishi; Isao Usui; Hitoshi Ando; Hironori Nakagami; Akira Nishiyama; Kazuomi KarioShow moreShow less
Affiliations
1. Division of Cardiovascular Medicine, Jichi Medical University School of Medicine, Tochigi, Japan; 2. Department of Pharmacology, Ehime University, Graduate School of Medicine, Ehime, Japan; 3. Division of Nephrology, Department of Internal Medicine, Teikyo University, Tokyo, Japan; 4. Department of Graduate School of Medicine, International University of Health and Welfare, Fukuoka, Japan; 5. Department of Endocrinology and Metabolism, Dokkyo Medical University, Tochigi, Japan; 6. Department of Cellular and Molecular Function Analysis, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan; 7. Department of Health Development and Medicine, Osaka University Graduate School of Medicine, Osaka, Japan; 8. Department of Pharmacology, Faculty of Medicine, Kagawa University, Kagawa, JapanShow moreShow less
24
days
In Response to “Quantifying the population burden of hypertension: methodological considerations on the PAF analysis of the DeSC cohort”
Authors
Masachika Nishikawa; Yuta Suzuki; Hidehiro Kaneko; Akira Okada; Norifumi Takeda; Hiroyuki Morita; Katsuhito Fujiu; Tatsuhiko Azegami; Kaori Hayashi; Kaori Kitaoka; Katsuyuki Miura; Atsushi Mizuno; Akihiro Nomura; Kazuomi Kario; Koichi Node; Hideo Yasunaga; Masaomi Nangaku; Hisatomi Arima; Norihiko TakedaShow moreShow less
Affiliations
1. Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan; 2. Center for Outcomes Research and Economic Evaluation for Health, National Institute of Public Health, Saitama, Japan; 3. Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan; 4. Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; 5. International University of Health and Welfare, Tokyo, Japan; 6. Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan; 7. NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan; 8. Department of Public Health, Shiga University of Medical Science, Otsu, Japan; 9. Department of Cardiology St Luke’s International Hospital, Tokyo, Japan; 10. Department of Cardiovascular Medicine Kanazawa University Graduate School of Medical Sciences Kanazawa Ishikawa Japan, Kanazawa, Japan; 11. Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan; 12. Department of Cardiovascular Medicine, Saga University, Saga, Japan; 13. Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan; 14. Division of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan; 15. Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, JapanShow moreShow less
86
days
An interpretable combinatorial data-mining framework for predicting new-onset hypertension in the general population
Authors
Yohei Miyashita; Naoki Kimoto; Kohsuke Onoue; Yutaka Yata; Takeshi Aketa; Masami Yabumoto; Takashi Washio; Seiji Takashima; Masafumi KitakazeShow moreShow less
Affiliations
1. Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, Japan; 2. Department of Medical Biochemistry, Osaka University Graduate School of Medicine/Frontier Biosciences, 2-2, Yamadaoka, Suita, Osaka, Japan; 3. Non Profit Organization Think of Medicine in Science, 3-7-11, Minamisumiyoshi, Sumiyoshi-ku, Osaka, Japan; 4. Hanwa Memorial Hospital, 3-5-8 Minamisumiyoshi, Sumiyoshi-ku, Osaka, Japan; 5. ASCLEPIUS Inc. 3-6-2 Minamisumiyoshi, Sumiyoshi-ku, Osaka, Japan; 6. The Institute of Scientific and Industrial Research, Osaka University, 1-1 Yamadaoka, Suita, Osaka, Japan; 7. The Osaka Medical Research Foundation for Intractable Diseases, 2-6-29 Abikohigashi, Sumiyoshi-ku, Osaka, JapanShow moreShow less
89
days
Comparative prognostic value of non-invasive ventricular-arterial coupling metrics in the general population
Authors
Chang Chen; Xuefang Zhang; Yilong Wang; Zhongping Yu; Zihao Chen; Tianyu Xu; Jiale Huang; Xin He; Jingjing Zhao; Jiangui He; Yugang Dong; Chen Liu; Fang-Fei WeiShow moreShow less
Affiliations
1. Department of Cardiology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; 2. NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-sen University, Guangzhou, China; 3. Department of Cardiology, Jiangmen Central Hospital, Jiangmen, China; 4. National Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Disease, Guangzhou, China; 5. Department of Cardiology, Huiya Hospital of the First Affiliated Hospital, Sun Yat-Sen University, Huizhou, Guangdong, 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