Ágnes Bánréti

6 papers and 251 indexed citations i.

About

Ágnes Bánréti is a scholar working on Molecular Biology, Epidemiology and Materials Chemistry. According to data from OpenAlex, Ágnes Bánréti has authored 6 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 1 paper in Materials Chemistry. Recurrent topics in Ágnes Bánréti’s work include Autophagy in Disease and Therapy (3 papers), Lysosomal Storage Disorders Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). Ágnes Bánréti is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Lysosomal Storage Disorders Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). Ágnes Bánréti collaborates with scholars based in France, Hungary and Japan. Ágnes Bánréti's co-authors include Miklós Sass, Yacine Graba, Pascal Meier, György Csikós, Tamás Lukácsovich, Miklós Erdélyi, Bruno Hudry, Andrew J. Saurin, Marilyne Duffraisse and Damien Thompson and has published in prestigious journals such as Nature Communications, Journal of Cell Science and Developmental Cell.

In The Last Decade

Co-authorship network of co-authors of Ágnes Bánréti i

Fields of papers citing papers by Ágnes Bánréti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ágnes Bánréti

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025