Deciphering drug discovery and microbial pathogenesis research in tuberculosis during the two decades of postgenomic era using entity mining approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Molecular Biology,General Medicine,Biochemistry,Microbiology
Link
https://link.springer.com/content/pdf/10.1007/s00203-023-03776-6.pdf
Reference99 articles.
1. Abdullah M, Humayun A, Imran M et al (2022) A bibliometric analysis of global research performance on tuberculosis (2011–2020): time for a global approach to support high-burden countries. J Family Community Med 29:117
2. Alavinia SM, Khakshour A, Habibi G et al (2013) An overview and mapping of childhood tuberculosis: prevalence, scientific production and citation analysis. Publ Q Tuberc Assoc India 60:28–36
3. Aria M, Cuccurullo C (2017) bibliometrix: an R-tool for comprehensive science mapping analysis. J Informetr 11:959–975
4. Arunachalam S, Gunasekaran S (2002) Tuberculosis research in India and China: from bibliometrics to research policy. Curr Sci 82:933–947
5. Cabanillas-Lazo M, Quispe-Vicuña C, Pascual-Guevara M et al (2022) Bibliometric analyses of applications of artificial intelligence on tuberculosis. Int J Mycobacteriol 11:389
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