Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 50 11 2021 10 16 2283 2291 Syed Hamd Hassan Shah School of Business, Nanjing University, Nanjing, China Saleha Noor School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China Atif Saleem Butt American University of Ras Al Khaimh, Ras Al Khaimah, United Arab Emirates Habiba Halepoto College of Information Science and Technology, Donghua University, Shanghai, China 2019 11 04 2020 08 20 Background: This study enriched our understanding by systematically reviewing knowledge management twitter health (KMTH) articles extracted from Web of Science (WoS) using cartography analysis through VOSviewer–for the last 11 years. Methods: A total of 798 KMTH articles were found from 2009 to 2019, analyzed based on the most co-occurrence keywords of KMTH articles. Results: Three clusters emerged through cartography analysis; Cluster 1: Twitter as health education and health promotion platform; Cluster 2: Twitter as public health promotion platform and Cluster 3: Twitter as health sentiment platform through big data and machine learning. Conclusion: This study opened new avenues for all health care providers to utilize Twitter as a KM platform to promote health care. This is the first bibliometric analysis of KMTH publications according to our best knowledge. https://ijph.tums.ac.ir/index.php/ijph/article/view/18871 https://ijph.tums.ac.ir/index.php/ijph/article/download/18871/7413