Ksenija Kanjer

31 papers and 305 indexed citations i.

About

Ksenija Kanjer is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ksenija Kanjer has authored 31 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 11 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Ksenija Kanjer’s work include AI in cancer detection (11 papers), Estrogen and related hormone effects (9 papers) and HER2/EGFR in Cancer Research (9 papers). Ksenija Kanjer is often cited by papers focused on AI in cancer detection (11 papers), Estrogen and related hormone effects (9 papers) and HER2/EGFR in Cancer Research (9 papers). Ksenija Kanjer collaborates with scholars based in Serbia, Canada and Germany. Ksenija Kanjer's co-authors include Dragica Nikolić‐Vukosavljević, Marko Radulović, Zora Nešković‐Konstantinović, Nebojša T. Milošević, Konstantinos N. Plataniotis, Xingyu Li, Z. Tomasevic, I Spužić, Bogomir Dimitrijević and Mirjana Branković-Magić and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and European Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Ksenija Kanjer i

Fields of papers citing papers by Ksenija Kanjer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ksenija Kanjer

Since Specialization
Citations

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