The Revived Interest in Ageusia Research during the COVID-19 Pandemic: A Bibliometric Analysis

Abstract

The evolution of ageusia research literature has yet to be investigated. This bibliometric study analyzed the entire ageusia research literature indexed in Web of Science, to reveal its growth and the most productive entities in terms of authors, institutions, countries, journals, and journal categories. In addition, this study aimed to identify medical conditions (and their treatments) that were frequently associated with ageusia. On 7 March 2022, the Web of Science Core Collection database was accessed with the following search query: TS = (ageusia OR “taste loss” OR “loss of taste” OR “loss of gustat*” OR “gustatory loss”). The search identified publications mentioning these terms in their title, abstract, or keywords. No additional filters were placed on publication year, language, etc. The basic publication and citation counts were extracted from the in-built functions of the database. The complete record of the publications was exported into VOSviewer, a bibliometric software for visualizations. The search yielded 1170 publications. The cumulative publication and citation counts of the ageusia research sharply increased in 2020. The most productive author was Professor Thomas Hummel from Technische Universität Dresden. Ageusia research had heavy contributions from the United States, Italy, the United Kingdom, Germany, and India. The top 5 most productive journals mainly belonged to the otorhinolaryngology and medicine categories. The medical conditions frequently investigated in ageusia research included COVID-19, cancers (head and neck, and advanced basal cell), Guillain-Barré syndrome, neurodegenerative diseases, diabetes, and Sjogren’s syndrome. This study could act as a begvinner’s guide for (1) clinicians who are not familiar with ageusia so that they might better understand which scenarios they need to be more aware of since ageusia could be a co-morbidity of a patient’s underlying disease, and (2) for those who wish to search for relevant authors and journals for suitable publications related to the topic.

Food Composition Databases (FCDBs): A Bibliometric Analysis

“…The term map showed the recurring terms from the title and abstract of the analyzed publications. To improve visual clarity, the map showed terms appearing in at least 1% ( n = 8) of the publications only, a threshold commonly adopted by previous studies [ 18 , 19 , 20 ]. Each term is labeled a node, with the node size indicating the publication count, its color indicating the citations per publication (CPP), and the inter-node distance indicating their frequency of co-occurrence.…”