Nella Lerš

17 papers and 564 indexed citations i.

About

Nella Lerš is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Nella Lerš has authored 17 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Nella Lerš’s work include Fractal and DNA sequence analysis (7 papers), Machine Learning in Bioinformatics (6 papers) and DNA Repair Mechanisms (4 papers). Nella Lerš is often cited by papers focused on Fractal and DNA sequence analysis (7 papers), Machine Learning in Bioinformatics (6 papers) and DNA Repair Mechanisms (4 papers). Nella Lerš collaborates with scholars based in Croatia, Slovenia and United States. Nella Lerš's co-authors include Dejan Plavšić, Milan Randić, Marjan Vračko, Subhash C. Basak, Alexandrù T. Balaban, Erika Salaj-Šmic, Brian D. Gute, Damir Vukičević, Katica Sertić-Bionda and Igor Stojiljković and has published in prestigious journals such as Chemical Physics Letters, Journal of Proteome Research and Photochemistry and Photobiology.

In The Last Decade

Co-authorship network of co-authors of Nella Lerš i

Fields of papers citing papers by Nella Lerš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nella Lerš

Since Specialization
Citations

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