Kaya Süer

73 papers and 362 indexed citations i.

About

Kaya Süer is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Kaya Süer has authored 73 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 16 papers in Epidemiology and 12 papers in Molecular Medicine. Recurrent topics in Kaya Süer’s work include Antibiotic Resistance in Bacteria (12 papers), Antibiotic Use and Resistance (8 papers) and COVID-19 Clinical Research Studies (7 papers). Kaya Süer is often cited by papers focused on Antibiotic Resistance in Bacteria (12 papers), Antibiotic Use and Resistance (8 papers) and COVID-19 Clinical Research Studies (7 papers). Kaya Süer collaborates with scholars based in Cyprus, Türkiye and Tanzania. Kaya Süer's co-authors include Leon Cantas, Tamer Şanlıdağ, Evren Hınçal, Umut Gazi, Uğur Yılmaz, Turgut İmir, Vedat Göral, Murat Sayan, Nevin Yılmaz and Buket Baddal and has published in prestigious journals such as Scientific Reports, Frontiers in Microbiology and Journal of Biotechnology.

In The Last Decade

Co-authorship network of co-authors of Kaya Süer i

Fields of papers citing papers by Kaya Süer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaya Süer

Since Specialization
Citations

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