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Review Cycle Records

Military Medical Research

Elsevier SCIE OA
2026 Emerging Zone 12025 CAS Zone 1 TOP2025 JCR Q1
356.4Average days
354Median days
280Fastest days
436Longest days
922025 publications

Paper Review Records

All Paper Review Records

5 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

406 days

GastroAlert: a multimodal epigenetic blood test for early detection of gastric cancer using cell-free DNA

AuthorsYong-Jie Xu; Jian-Feng Xu; Chang-Fa Xia; Yu-Jie Wu; Dian-Ge Li; Tie-Yan Liu; Huai-Ping Cui; Jin Zhang; Liang Shang; Wan-Qing Chen

AffiliationsOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; Beijing Kangshu Medical Technology Co., Ltd., Beijing 100176, China; Department of Gastroenterological Surgery, Shandong Provincial Hospital of Shandong First Medical University, Jinan 250021, China; Cixian Institute for Cancer Prevention and Control, Cixian Cancer Hospital, Handan 056500, Hebei, China; Office of Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

Source PDF DOI Publisher page
354 days

Chinese expert consensus on wound repair of venous leg ulcers (2025 edition)

AuthorsPi-Hong Zhang; Xiao-Bing Fu; Yue-Sheng Huang

AffiliationsDepartment of Burns and Wound Repair, National Clinical Research Center for Geriatric Diseases, Xiangya Hospital of Central South University, Changsha 410008, China; Research Center for Wound Repair and Tissue Regeneration, Medical Innovation Research Department, the PLA General Hospital, Beijing 100853, China; Institute of Wound Repair and Regeneration Medicine, Southern University of Science and Technology School of Medicine, and Department of Wound Repair, Southern University of Science and Technology Hospital, Shenzhen 518055, Guangdong, China

Source PDF DOI Publisher page
436 days

ZBP1 activated by mitochondrial damage binds to STAT3 to suppress Legumain production and exacerbate macrophage inflammation in Klebsiella pneumoniae-induced sepsis

AuthorsLi-Ting Deng; Huan Yang; Xu-Fei Zhang; Ze-Xing Lin; Ni Kuang; Hai-Yang Jiang; Pei-Zhao Liu; Yang-Guang Li; Xuan-Heng Li; Wei-Zhen Li; Chu-Jun Ni; Ming-Jie Qiu; Yue Chao; Yu-Fei Pan; Yi-Yu Yang; Ye-Ting Zhu; Yun Zhao; Jian-An Ren; Xiu-Wen Wu

AffiliationsSchool of Medicine, Southeast University, Nanjing 210009, China; Research Institute of General Surgery, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210002, China; Department of General Surgery, Clinical Translational Research Center for Surgical Infection and Immunity, the Affiliated BenQ Hospital of Nanjing Medical University, Nanjing 210026, China; Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, China; Department of Infectious Diseases, Chongqing Key Laboratory for Research of Infectious Diseases, Southwest Hospital, Army Medical University, Chongqing 400038, China; Department of Emergency Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong, China; Nanjing Medical University, Nanjing 210000, China; Nanjing Medical Key Laboratory of Laryngopharynx-Head and Neck Oncology, the Affiliated BenQ Hospital of Nanjing Medical University, Nanjing 210026, China

Source PDF DOI Publisher page
306 days

RIMKLA promotes hypertension by activating PKM2 to trigger VSMC phenotype switch

AuthorsRui Xiang; Wen-Jun Liu; Xin-Rui Zhang; Han Yan; Xin Li; Song Hou; Cheng-Qing Hu; Yun-Tao Hu; Ru-Feng Ma; Jing Li; Yu-Jing Chi; Qing-Hua Cui; Zhen-Zhen Chen; Bin Geng; Ji-Chun Yang

AffiliationsDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing 100191, China; Department of Pathophysiology, School of Basic Medical Science and Public Health, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China; Department of Physiology, School of Basic Medical Science, Kunming Medical University, Kunming 650500, China; Department of Endocrinology, the Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China; Department of Obstetrics and Gynecology, Peking University Third Hospital/National Clinical Research Center for Obstetrics and Gynecology, State Key Laboratory of Female Fertility Promotion, Beijing 100191, China; Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China; Department of Central Laboratory and Institute of Clinical Molecular Biology, Peking University People’s Hospital, Beijing 100044, China; Department of Biomedical Informatics, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Center for Non-coding RNA Medicine, Peking University Health Science Center, Beijing 100191, China; Beijing Anzhen Hospital of Capital Medical University and Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing 100029, China; State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, CAMS & PUMC, Beijing 102308, China; Department of Cardiology, Peking University Third Hospital, Beijing 100191, China

Source PDF DOI Publisher page
280 days

Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023

AuthorsZhi-Jin Zhang; Hao-Feng Wang; Yu-Sha Cui; Shi-Nuan Lin; Han Jiao; Fan-Gang Meng; Tao Feng

AffiliationsDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing 100089, China; HUST-GYENNO CNS Intelligent Digital Medicine Technology Center, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China; Guangdong Provincial Engineering Technology Research Center for Medical Artificial Intelligence in Neurological Diseases, Shenzhen 518000, Guangdong, China; Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China

Source PDF DOI Publisher page

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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review96.4 days

Median77 days

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