Ugljesa Djuric

25 papers and 1.4k indexed citations i.

About

Ugljesa Djuric is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ugljesa Djuric has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ugljesa Djuric’s work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cell Image Analysis Techniques (4 papers). Ugljesa Djuric is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cell Image Analysis Techniques (4 papers). Ugljesa Djuric collaborates with scholars based in Canada, United States and Lebanon. Ugljesa Djuric's co-authors include Phedias Diamandis, James Ellis, Kevin Faust, Rima Slim, Gelareh Zadeh, Kenneth Aldape, Eden Fussner, David P. Bazett‐Jones, Randy Van Ommeren and M. Seoud and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Ugljesa Djuric i

Fields of papers citing papers by Ugljesa Djuric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ugljesa Djuric

Since Specialization
Citations

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