Tashkent Medical Academy

390 papers and 1.1k indexed citations i.

About

In recent decades, authors affiliated with Tashkent Medical Academy have published 390 papers, which have received a total of 1.1k indexed citations. Scholars at this organization have produced 67 papers in Surgery, 56 papers in Epidemiology and 47 papers in Pulmonary and Respiratory Medicine on the topics of Acute Ischemic Stroke Management (13 papers), Neurological Disorders and Treatments (13 papers) and Long-Term Effects of COVID-19 (12 papers). Their work is cited by papers focused on Epidemiology (209 citations), Surgery (164 citations) and Infectious Diseases (125 citations). Authors at Tashkent Medical Academy collaborate with scholars in Uzbekistan, Russia and Switzerland and have published in prestigious journals including Journal of the American College of Cardiology, PLoS ONE and Neurology. Some of Tashkent Medical Academy's most productive authors include Jiřı́ Vlček, Aleš Kuběna, Chansik An, Jin‐Young Choi, Myeong‐Jin Kim, Dilshat U. Tulyaganov, J.M.F. Ferreira, Ashutosh Goel, Hugo Saner and Franz H. Messerli.

In The Last Decade

Fields of papers published by authors at Tashkent Medical Academy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Tashkent Medical Academy at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Tashkent Medical Academy at the time of their publication.

Countries citing scholars working at Tashkent Medical Academy

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Tashkent Medical Academy. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Tashkent Medical Academy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tashkent Medical Academy more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025