The Evolution of Tzanck Smear Publications: A Bibliometric Analysis with Research Trends and Global Productivity
Aim: Tzanck smear is a diagnostic tool where the structural characteristics of cells are examined under microscope after undergoing various staining procedures.It is a cost-effective and reliable application that aids clinicians in the diagnostic process in many fields, particularly dermatology.Bibliometric analysis is an methodology that visualizes study topics, authors, countries, and trends in a scientific field, accompanied by numerical data.This study presents a bibliometric analysis of the Tzanck smear literature. Materials and Methods:Web of Science database was used for literature search; VOSviewer and Biblioshiny software were preferred for bibliometric analysis.Results: According to the bibliometric data obtained, herpes and pemphigus group diseases have been the central focus of Tzanck smear studies.Recently, while these two topics have maintained their trend, there has been an increase in Tzanck smear publications related to the Monkeypox virus.The leading authors in terms of publication count are Durdu M, Seckin D, and Folkers E, while the most cited authors are Durdu M, Leonardi CL, and Nahass GT.The leading countries in publishing studies on Tzanck smear are the United States, India, and Trkiye.Journals receiving the most publications and citations on Tzanck smear include the Journal of the American Academy of Dermatology, International Journal of Dermatology, Indian Journal of Dermatology, Venereology and Leprosy, Journal of the American Medical Association, and Archives of Dermatology. Conclusion:In this study, an attempt was made to create quantitative maps of studies conducted on the topic of Tzanck smear.This study fills an important gap in the literature by representing the first comprehensive bibliometric analysis specifically focused on the topic of Tzanck smear.A review of the literature shows that researchers, countries, and journals have demonstrated varying trends regarding Tzanck smear over the years.The statistical evaluation of these trends through bibliometric analysis can provide a roadmap for researchers planning to work on this topic when designing their studies.
Authors
- Munise Daye (ORCID: https://orcid.org/0000-0002-6614-1821)
- Selami Aykut Temiz (ORCID: https://orcid.org/0000-0003-4878-0045)
- İlkay Özer (ORCID: https://orcid.org/0000-0001-6170-0930)
- Recep Dursun (ORCID: https://orcid.org/0000-0002-1279-574X)
- Esra Altay (ORCID: https://orcid.org/0009-0008-0418-8625)
Publication Details
- Journal
- Turkish Journal of Dermatology
- Published
- 2025-09-10
- DOI
- https://doi.org/10.4274/tjd.galenos.2025.26817
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00