Vlado Dančík

35 papers and 2.9k indexed citations i.

About

Vlado Dančík is a scholar working on Molecular Biology, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Vlado Dančík has authored 35 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 5 papers in Surgery. Recurrent topics in Vlado Dančík’s work include Computational Drug Discovery Methods (9 papers), Pancreatic Islet Dysfunction and Regeneration (5 papers) and Bioinformatics and Genomic Networks (5 papers). Vlado Dančík is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Pancreatic Islet Dysfunction and Regeneration (5 papers) and Bioinformatics and Genomic Networks (5 papers). Vlado Dančík collaborates with scholars based in United States, Slovakia and Russia. Vlado Dančík's co-authors include Paul A. Clemons, Bridget K. Wagner, Monica Schenone, Pavel A. Pevzner, Theresa A. Addona, James E. Vath, Karl R. Clauser, Stuart L. Schreiber, Elizaveta S. Leshchiner and Maria Kost‐Alimova and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Co-authorship network of co-authors of Vlado Dančík i

Fields of papers citing papers by Vlado Dančík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vlado Dančík

Since Specialization
Citations

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