Angeliki Kotsianti

14 papers and 505 indexed citations i.

About

Angeliki Kotsianti is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Angeliki Kotsianti has authored 14 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Angeliki Kotsianti’s work include AI in cancer detection (4 papers), Viral-associated cancers and disorders (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Angeliki Kotsianti is often cited by papers focused on AI in cancer detection (4 papers), Viral-associated cancers and disorders (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Angeliki Kotsianti collaborates with scholars based in United States, Greece and United Kingdom. Angeliki Kotsianti's co-authors include David Verbel, Mikhail Teverovskiy, Ali Tabesh, Ho-Yuen Pang, Olivier Saidi, Brian D. Cadman, William L. Gerald, Daniel A. Haber, Theonia K. Boyd and Rachel Palmer and has published in prestigious journals such as Journal of Clinical Oncology, Current Biology and The Journal of Urology.

In The Last Decade

Co-authorship network of co-authors of Angeliki Kotsianti i

Fields of papers citing papers by Angeliki Kotsianti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angeliki Kotsianti

Since Specialization
Citations

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