Volume 19, Issue 1 (Vol.19, No.1, Spring 2023)
irje 2023, 19(1): 47-59 |
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Nabiolahi A, Khammari N, Keikha N. The Top 100 Highly Cited Articles of Mucormycosis in Patients with COVID-19: a Scientometric Study. irje 2023; 19 (1) :47-59
URL: http://irje.tums.ac.ir/article-1-7250-en.html
URL: http://irje.tums.ac.ir/article-1-7250-en.html
1- Assistant Professor of Medical Librarianship and Information Sciences, Department of Medical library and Information Science, School of Allied Medical Sciences, Zahedan University of Medical Sciences, Zahedan, Iran
2- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
3- Assistant Professor of Medical Mycology, Infectious Diseases and Tropical Medicine Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran ,nasserkeikha@yahoo.com
2- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
3- Assistant Professor of Medical Mycology, Infectious Diseases and Tropical Medicine Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran ,
Abstract: (621 Views)
Background and Objectives: Mucormycosis is a severe fungal infection with high mortality, particularly affecting immunocompromised patients. COVID-19 patients, due to their compromised immunity, are also susceptible to mucormycosis. Given the rising prevalence of mucormycosis, this research aims to analyze highly cited articles focused on mucormycosis in COVID-19 patients.
Methods: This research employed a citation analysis approach using bibliometric analysis. The study's statistical population comprised articles related to mucormycosis and COVID-19 indexed in the Web of Science database between 1945 and 2023 that received a high number of citations. Histcite and VOS Viewer software were utilized to draw scientific and co-occurrence clusters of words.
Results: Analysis of highly cited articles revealed that among the 1,082 documents published, the top 100 works primarily focused on mucormycosis and COVID-19, histopathological findings, and fungal co-infections, garnering the highest citations. An article by Singh received the highest number of citations. The journal "Mycoses" was identified as an influential journal in the COVID-19 and mucormycosis domain, publishing 10 highly cited articles. Co-occurrence analysis of words highlighted four key thematic clusters related to COVID-19 and mucormycosis, as well as other types of fungal infections. Analysis of the top 100 articles indicated that mucormycosis and COVID-19 clusters had the highest frequency, focusing on histopathological areas and fungal coinfections.
Conclusion: The co-occurrence map of words and emerging topics in mucormycosis, COVID-19, and fungal infections can guide researchers in laboratory research, enhancing their understanding of the disease, related current issues and potential treatment methods. Moreover, it offers valuable insights for authors, journals, and researchers in selecting future research priorities.
Methods: This research employed a citation analysis approach using bibliometric analysis. The study's statistical population comprised articles related to mucormycosis and COVID-19 indexed in the Web of Science database between 1945 and 2023 that received a high number of citations. Histcite and VOS Viewer software were utilized to draw scientific and co-occurrence clusters of words.
Results: Analysis of highly cited articles revealed that among the 1,082 documents published, the top 100 works primarily focused on mucormycosis and COVID-19, histopathological findings, and fungal co-infections, garnering the highest citations. An article by Singh received the highest number of citations. The journal "Mycoses" was identified as an influential journal in the COVID-19 and mucormycosis domain, publishing 10 highly cited articles. Co-occurrence analysis of words highlighted four key thematic clusters related to COVID-19 and mucormycosis, as well as other types of fungal infections. Analysis of the top 100 articles indicated that mucormycosis and COVID-19 clusters had the highest frequency, focusing on histopathological areas and fungal coinfections.
Conclusion: The co-occurrence map of words and emerging topics in mucormycosis, COVID-19, and fungal infections can guide researchers in laboratory research, enhancing their understanding of the disease, related current issues and potential treatment methods. Moreover, it offers valuable insights for authors, journals, and researchers in selecting future research priorities.
Type of Study: Research |
Subject:
Special
Received: 2023/06/12 | Accepted: 2023/09/5 | Published: 2023/06/10
Received: 2023/06/12 | Accepted: 2023/09/5 | Published: 2023/06/10
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