An Analysis of the Mutual Publications of Anatomists and Otorhinolaryngologists: A Bibliometric Study based on the Web of Science Database

Ahmet Tekin, İlhan Bahşi
2022 The Turkish Journal of Ear Nose and Throat  
Objective: The aim of this study is to bibliometrically examine the mutual studies in the fields of anatomy and otorhinolaryngology (ORL) recorded in the Web of Science (WoS) database between 1980-2020. Material and Methods: The mutual publications of anatomists and otolaryngologists on 31.01.2021 are listed in the Science Citation Index-Expanded category of the Advanced Search section of the WoS database. Thus, in the search field tags, Department of Anatomy for anatomists and Department of
more » ... , Nose, and Throat (ENT) or Department of Otorhinolaryngology or Clinic of ENT or Clinic of Otorhinolaryngology for otolaryngologists were used for the address section. Publications from 2021, meeting abstracts, proceedings papers, early accesses, and book chapters were excluded. After the exclusion criteria were applied, the bibliometric characteristics of the remaining publications were examined. Results: After the exclusion criteria were applied, 1395 articles were found. The total number of citations made to these articles was 42537, and at least one citation was made to 1279 of the 1395 articles (91.68%). The h-index of these articles was 82, and the average number of citations was 30.49. In these articles, the most frequently used first five keywords were immunohistochemistry (44 times), rat (39 times), cochlea (38 times), anatomy (36 times), and facial nerve (27 times). Conclusion: The results of our bibliometric study which evaluated the last 40 years of data in terms of networks, collaborations, and institutions could be an inspiration and source for future researchers. We may state that with the increasing technology, the applicability of interventional methods in the field of ORL might be increased by conducting more anatomical studies and yield safer results.
doi:10.26650/tr-ent.2021.1033996 fatcat:k6h6qc7kxfgmrgthnlxktsohuu