id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-349313-2gupfqnl	Martinez-Perez, Clara	Citation Network Analysis of the Novel Coronavirus Disease 2019 (COVID-19)	2020-10-21		.txt	text/plain	7148	437	53	This study aims to analyze the relationship between different publications and their authors through citation networks, as well as to identify the research areas and determine which publication has been the most cited. Methods: The search for publications was carried out through the Web of Science database using terms such as "COVID-19" and "SARS-CoV-2" for the period between January and July 2020. The search of publications was carried out using the Web of Science (WOS) database with the following search terms: "COVID-19", "SARS-CoV-2", "The Coronavirus Disease 2019" and "Corona Virus Disease 2019". Moreover, the most common keywords used in Chinese journals were "COVID-19", "SARS-CoV-2", "Prevention and control", "Traditional Chinese Medicine", "Computed tomography", "Epidemic", "Public health", "MERS", "Pneumonia" and "Male". In this group, the different articles analyze the viral transmission of SARS-CoV-2, the most frequent symptoms (fever, cough, diarrhea, etc.) and experimental treatment methods such as chloroquine phosphate (Figure 7 ).	./cache/cord-349313-2gupfqnl.txt	./txt/cord-349313-2gupfqnl.txt