Lan Žagar

8 papers and 1.3k indexed citations i.

About

Lan Žagar is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Lan Žagar has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Biophysics. Recurrent topics in Lan Žagar’s work include Gene expression and cancer classification (4 papers), Cell Image Analysis Techniques (2 papers) and Molecular Biology Techniques and Applications (2 papers). Lan Žagar is often cited by papers focused on Gene expression and cancer classification (4 papers), Cell Image Analysis Techniques (2 papers) and Molecular Biology Techniques and Applications (2 papers). Lan Žagar collaborates with scholars based in Slovenia, Italy and United States. Lan Žagar's co-authors include Blaž Zupan, Tomaž Curk, Janez Demšar, Marko Toplak, Jure Žbontar, Martin Možina, Lan Umek, Tomaž Hočevar, Miha Štajdohar and Marinka Žitnik and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Lan Žagar i

Fields of papers citing papers by Lan Žagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lan Žagar

Since Specialization
Citations

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