Riku Turkki

35 papers and 1.4k indexed citations i.

About

Riku Turkki is a scholar working on Oncology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Riku Turkki has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 11 papers in Artificial Intelligence and 11 papers in Biophysics. Recurrent topics in Riku Turkki’s work include AI in cancer detection (11 papers), Cell Image Analysis Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Riku Turkki is often cited by papers focused on AI in cancer detection (11 papers), Cell Image Analysis Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Riku Turkki collaborates with scholars based in Finland, Sweden and United Kingdom. Riku Turkki's co-authors include Johan Lundin, Nina Linder, Panu E. Kovanen, Mikael Lundin, Stig Nordling, Caj Haglund, Dmitrii Bychkov, Teijo Pellinen, Clare Verrill and Sami Blom and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Riku Turkki i

Fields of papers citing papers by Riku Turkki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Riku Turkki

Since Specialization
Citations

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