Saim Dayan

27 papers and 180 indexed citations i.

About

Saim Dayan is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Saim Dayan has authored 27 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 10 papers in Infectious Diseases and 5 papers in Surgery. Recurrent topics in Saim Dayan’s work include Urinary Tract Infections Management (5 papers), Hepatitis B Virus Studies (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Saim Dayan is often cited by papers focused on Urinary Tract Infections Management (5 papers), Hepatitis B Virus Studies (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Saim Dayan collaborates with scholars based in Türkiye and Germany. Saim Dayan's co-authors include Recep Tekin, Özcan Deveci, Salih Hoşoğlu, Fatma Bozkurt, Tuba Dal, Şafak Kaya, Serda Gülsün, Celal Ayaz, Selahattin Atmaca and Çiğdem Mermutluoğlu and has published in prestigious journals such as British Journal of Anaesthesia, International Journal of Infectious Diseases and International Journal of Clinical Practice.

In The Last Decade

Co-authorship network of co-authors of Saim Dayan i

Fields of papers citing papers by Saim Dayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saim Dayan

Since Specialization
Citations

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