Alinda Nagy

11 papers and 310 indexed citations i.

About

Alinda Nagy is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Alinda Nagy has authored 11 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Oncology. Recurrent topics in Alinda Nagy’s work include Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (3 papers). Alinda Nagy is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (3 papers). Alinda Nagy collaborates with scholars based in Hungary, Sweden and Australia. Alinda Nagy's co-authors include László Patthy, László Bányai, Hedvig Tordai, Mária Trexler, Jennifer Harrow, Tyler Alioto, Alexandre Reymond, Roderic Guigó, Stylianos E. Antonarakis and Hédi Hegyi and has published in prestigious journals such as European Journal of Biochemistry, BMC Bioinformatics and FEBS Journal.

In The Last Decade

Co-authorship network of co-authors of Alinda Nagy i

Fields of papers citing papers by Alinda Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alinda Nagy

Since Specialization
Citations

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