Objectives: In this bibliometric study, it has been aimed to conduct multi-dimensional citation analysis of the top100 cited articles in anatomy field and to create an easy access for researchers in this dynamic field. Methods: The word "anatomy, which is used as a search term was written and queried into Thomson Reuter's 2019 Web of Science database to list all relevant articles in this field. The top 100 cited articles were analyzed by topic, journal, author, year, institution, level of evidence, adjusted citation index and also impact factor. Results: 135.275 eligible articles were found and we had chosen the top 100 cited, in the anatomy field, of these articles by a bibliometric criteria. The mean citation number for the highly cited articles was 4.471 (range: 295-4471). The most cited article on anatomy was “The brain’s default network: Anatomy, function, and relevance to disease” (4471 citations) conducted by Buckner RL et al. ‘’Ann N Y Acad Sci’’ journal made the biggest contribution to the top 100 list with 10 articles whereas the most cited article originated from the Neuroimage. The country and year with most publications were the USA and 2003 respectively. Universtiy of London (n=13) and University College London (n=10) were the most prolific institutions. Conclusion: Although anatomic-based studies are increasingly evolving towards neuroanatomy and neuroscience, anatomical morphology studies still important. However, it has been understood that more research is needed to determine the forces that affect the direction of neuroanatomical research in new technology based neuroscience and neuroimaging studies. Keywords: Anatomy, bibliometric analysis, top-cited, trend topic
Corresponding Author: Petekkaya E.