Gokhan Tut

13 papers and 369 indexed citations i.

About

Gokhan Tut is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Gokhan Tut has authored 13 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 6 papers in Modeling and Simulation and 3 papers in Health. Recurrent topics in Gokhan Tut’s work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 epidemiological studies (6 papers) and COVID-19 Clinical Research Studies (5 papers). Gokhan Tut is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 epidemiological studies (6 papers) and COVID-19 Clinical Research Studies (5 papers). Gokhan Tut collaborates with scholars based in United Kingdom and Croatia. Gokhan Tut's co-authors include Paul Moss, Madhumita Shrotri, Maria Krutikov, Laura Shallcross, Andrew Copas, Andrew Hayward, Aidan Irwin-Singer, Tom Palmer, Borscha Azmi and Alexander J. Zwetsloot and has published in prestigious journals such as The Lancet Infectious Diseases, Age and Ageing and Eurosurveillance.

In The Last Decade

Co-authorship network of co-authors of Gokhan Tut i

Fields of papers citing papers by Gokhan Tut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gokhan Tut. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gokhan Tut. The network helps show where Gokhan Tut may publish in the future.

Countries citing papers authored by Gokhan Tut

Since Specialization
Citations

This map shows the geographic impact of Gokhan Tut's research. 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 Gokhan Tut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gokhan Tut 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