Laszló Kaján

13 papers and 894 indexed citations i.

About

Laszló Kaján is a scholar working on Molecular Biology, Materials Chemistry and Information Systems and Management. According to data from OpenAlex, Laszló Kaján has authored 13 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Materials Chemistry and 2 papers in Information Systems and Management. Recurrent topics in Laszló Kaján’s work include Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (7 papers) and Genomics and Phylogenetic Studies (5 papers). Laszló Kaján is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Protein Structure and Dynamics (7 papers) and Genomics and Phylogenetic Studies (5 papers). Laszló Kaján collaborates with scholars based in Italy, Hungary and United States. Laszló Kaján's co-authors include Burkhard Rost, Marco Punta, Guy Yachdav, Avner Schlessinger, Matúš Kalaš, Debora S. Marks, Thomas A. Hopf, Yana Bromberg, Tobias Hamp and Peter Hönigschmid and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Laszló Kaján i

Fields of papers citing papers by Laszló Kaján

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laszló Kaján

Since Specialization
Citations

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