Beste Turanlı

32 papers and 668 indexed citations i.

About

Beste Turanlı is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Beste Turanlı has authored 32 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Computational Theory and Mathematics. Recurrent topics in Beste Turanlı’s work include Bioinformatics and Genomic Networks (10 papers), Computational Drug Discovery Methods (9 papers) and Ferroptosis and cancer prognosis (5 papers). Beste Turanlı is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Computational Drug Discovery Methods (9 papers) and Ferroptosis and cancer prognosis (5 papers). Beste Turanlı collaborates with scholars based in Türkiye, Sweden and United States. Beste Turanlı's co-authors include Kazım Yalçın Arğa, Gizem Gülfidan, Adil Mardinoğlu, Mathias Uhlén, Raghu Sinha, Tania Islam, Esra Göv, Jens Nielsen, Jan Borén and Md Rezanur Rahman and has published in prestigious journals such as Scientific Reports, Gene and Archives of Biochemistry and Biophysics.

In The Last Decade

Co-authorship network of co-authors of Beste Turanlı i

Fields of papers citing papers by Beste Turanlı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Beste Turanlı

Since Specialization
Citations

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