A Bibliographic Analysis of the Most Cited Articles in Global Neurosurgery
OBJECTIVE: Global neurosurgery is the practice of neurosurgery with the primary purpose of delivering timely, safe, and affordable neurosurgical care to all who need it. The aim of this study is to identify the most frequently cited articles in global neurosurgery through a bibliographic review to characterize articles and trends around this growing topic. METHODS: The top most-cited articles in global neurosurgery were determined by searching the Web of Science database using a priori search terms. Articles with at least 5 citations were selected, and there were no time period or language restrictions. The data were extracted from each included article and all characteristics were summarized. RESULTS: A total of 932 articles were identified using the search terms; 69 articles fulfilled inclusion criteria and 17 articles were selected that had more than 5 citations. The articles' number of citations ranged from 6 to 98 for the most-cited article. Authors from, or affiliated with, 14 countries contributed to the 17 articles, and the country that had the greatest representation was the United States. The main topic discussed was surgical capacity, the second topic was the treatment of different neurosurgical conditions, and volunteerism was the third topic. CONCLUSIONS: There is currently a deficit in both the amount of literature surrounding the topic of global neurosurgery and how much that literature is cited. Developing innovative ways to increase academic productivity within, or in collaboration with, low-middle income countries is essential to contribute to global neurosurgery.
Medical Subject Headings
Bibliometrics; Databases, Bibliographic; Global Health (statistics & numerical data); Humans; Journal Impact Factor; Neurosurgery (statistics & numerical data); Neurosurgical Procedures (statistics & numerical data); Periodicals as Topic (statistics & numerical data); United States; Volunteers (statistics & numerical data); Workforce (statistics & numerical data)
Digital Object Identifier (DOI)
Niquen-Jimenez, Milagros; Wishart, Danielle; Garcia, Roxanna M.; Shlobin, Nathan A.; Steinle, Julia; Weiss, Hannah; Reynolds, Rebecca A.; Lam, Sandi; and Rosseau, Gail, "A Bibliographic Analysis of the Most Cited Articles in Global Neurosurgery" (2020). Neurosurgery. 1733.