Dávid Fazekas

19 papers and 693 indexed citations i.

About

Dávid Fazekas is a scholar working on Molecular Biology, Computational Theory and Mathematics and Aging. According to data from OpenAlex, Dávid Fazekas has authored 19 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Aging. Recurrent topics in Dávid Fazekas’s work include Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (5 papers) and Computational Drug Discovery Methods (4 papers). Dávid Fazekas is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (5 papers) and Computational Drug Discovery Methods (4 papers). Dávid Fazekas collaborates with scholars based in Hungary, United Kingdom and United States. Dávid Fazekas's co-authors include Tamás Korcsmáros, Péter Csermely, Katalin Lenti, Tibor Vellai, Dezső Módos, Dénes Türei, László Földvári-Nagy, Illés J. Farkas, Diána Papp and Dániel V. Veres and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Dávid Fazekas i

Fields of papers citing papers by Dávid Fazekas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dávid Fazekas

Since Specialization
Citations

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