Tamer Gheita

Tamer Gheita is a distinguished academic and researcher affiliated with the Faculty of Medicine at Cairo University, Egypt. He is also associated with the Faculty of Graduate Studies for Statistical Research and practices at Cairo University Hospitals and Dr. Erfan and Bagedo General Hospital. His primary academic and clinical focus lies in rheumatology, particularly autoimmune and inflammatory rheumatic diseases.

His research interests center on autoimmune diseases such as systemic lupus erythematosus (SLE), idiopathic inflammatory myopathies, and systemic sclerosis. He investigates neuropsychiatric manifestations in SLE, cardiovascular risk predictors like the atherogenic index of plasma, fatigue in myositis patients, and the impact of the COVID-19 pandemic on rheumatic disease management and vaccine safety. His work integrates clinical observation, imaging techniques, and genetic markers to improve patient outcomes.

The trends in his recent publications reflect a strong emphasis on patient-centered outcomes, global rheumatology practice, and the intersection of rheumatology with public health, especially during the pandemic. His studies frequently employ survey methodologies, longitudinal analyses, and advanced imaging, published in high-impact journals such as Rheumatology International and Current Rheumatology Reviews.

Gheita has secured research support from prestigious international sponsors including the National Institutes of Health (NIH), the European Commission (Horizon 2020, Seventh Framework Programme), NIHR Maudsley Biomedical Research Centre, and the World Bank Group. These collaborations highlight his integration into global research networks and the high relevance of his work.

He is actively involved in collaborative research initiatives, particularly through multicenter and international studies such as the COVAD e-survey and vaXurvey2, which involve extensive co-authorship networks across Africa and Europe. These projects emphasize data-driven approaches and statistical research, often conducted through the Faculty of Graduate Studies for Statistical Research.