Record #57657

Natural Products for Neurodegeneration: Regulating Neurotrophic Signals

Publisher
Original paper date
Jun 22, 2021
Institution
Department of Pharmacy, Southeast University, Dhaka, Bangladesh · Pharmakon Neuroscience Research Network, Dhaka, Bangladesh · Teaching and Research Division, School of Chinese Medicine, Hong Kong · Baptist University, 7 Baptist University Road,Kowloon Tong, Kowloon, Hong Kong · Laboratory of Clinical Biochemistry and Nutritional Sciences (LCBNS), Department of Biochemistry and Molecular Biology,University of Rajshahi, Rajshahi 6205, Bangladesh · Research Unit, Induced Resistance and Plant Bioprotection, USC INRAe 1488, SFR Condorcet FR CNRS 3417, Faculty of Sciences,University of Reims Champagne-Ardenne, P.O. Box 1039, CEDEX 2, 51687 Reims, France · Novel Global Community Educational Foundation, 2770 Hebersham, Australia · AFNP Med Austria, 1010 Wien, Austria8 Chitkara College of Pharmacy, Chitkara University, Punjab, India · Department of Pharmacy, Noakhali Science and Technology University, Sonapur, Noakhali 3814, Bangladesh · Instituto de Investigación y Postgrado, Facultad de Ciencias de la Salud, Universidad Central de Chile, 8330507 Santiago, Chile · Department of Organic Chemistry, Faculty of Pharmacy, University of Santiago de Compostela,15782 Santiago de Compostela, Spain · Pre-Clinical Research Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia · Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University,Jeddah, Saudi Arabia · Zoology Department, Faculty of Science, Cairo University, Giza 12613, Egypt · Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh 11474, Saudi Arabia · Research Centre for Food and Nutrition, Council for Agricultural Research and Economics (CREA-AN), 00142 Rome, Italy · Pharmacology Department, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt
Open access
No
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Pre-retraction
22
Same day
1
Post-retraction
6
% post-retraction
20.7%
~8.6 citations/yr before retraction · ~2.2 citations/yr after
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