Gábor Tajti

22 papers and 262 indexed citations i.

About

Gábor Tajti is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Gábor Tajti has authored 22 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Physiology. Recurrent topics in Gábor Tajti’s work include Ion channel regulation and function (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (3 papers). Gábor Tajti is often cited by papers focused on Ion channel regulation and function (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (3 papers). Gábor Tajti collaborates with scholars based in Hungary, Austria and Slovakia. Gábor Tajti's co-authors include György Panyi, Rudolf Gesztelyi, Csaba Papp, Judit Zsuga, Béla Juhász, Raymond S. Norton, Zoltán Varga, Hannes Stockinger, Anna Ohradanova‐Repic and Vladimı́r Leksa and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Co-authorship network of co-authors of Gábor Tajti i

Fields of papers citing papers by Gábor Tajti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gábor Tajti. 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 Gábor Tajti. The network helps show where Gábor Tajti may publish in the future.

Countries citing papers authored by Gábor Tajti

Since Specialization
Citations

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